nigeria & kenya deep dive january 2019 · south africa kenya morocco egypt nigeria south africa...
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AFRICA TECHNOLOGY TALENT STUDY
NIGERIA & KENYA DEEP DIVE
JANUARY 2019
22
AGENDA
AFRICA TECHNOLOGY TALENT STUDY
Talent Stack of the Job Families analysed, Job role/Skill level analysis
Industry Level Analysis : Top peer employers, workloads, talent maturity analysis and salary distribution
Start-up Deep Dive: Analysis of Funding, Acquisitions and top start-ups
University Analysis: Talent supply analysis, Professors profiling
Overview of Africa and Emerging Talent Trends In Africa
Major Talent Hotspots : Hotspots of peer employers
Nigeria
Kenya
33
Africa Overview: Large workforce of ~0.5 Bn. Nearly 42% of the workforce is employed outside Agriculture, in Industrial, Technology and Services Sectors
Talent Workforce Distribution by Country Total Workforce Distribution by Industry
Nigeria 12% Ethiopia 11% Congo 7%
Egypt 6% Tanzania 6% South Africa 5%
Kenya 4% Uganda 3% Ghana 3%
Madagascar 3% Morocco 3% Angola 3%
Top 10 counties constitutes ~60% of the overall workforce
~490 MnTotal Workforce
~1 MnEmployers
~7,000+Total Startups
~1,300Total Universities
58%Agriculture
30%Services
12%Industry
Note: The represented data has been collected from multiple sources such as World Bank, ILO and curated by DRAUP
44
Top Verticals: The biggest sector of employment has been Agriculture, largely due to the abundance of natural resources in the region. BFSI andTelecom are the fastest growing employment sectors, largely due to investments by global giants
Agriculture Manufacturing / Industrial
BFSI Telecom
~58%Talent Employed
~12%Talent Employed
~5%Talent Employed
~3%Talent Employed
Burundi, Burkina Faso, Chad, Madagascar, Mozambique, Rwanda, Tanzania, Ethiopia
Algeria, South Africa, Egypt, Kenya, Mauritius, Congo,
Angola
South Africa, Egypt, Nigeria, Kenya, Morocco, Algeria
South Africa, Egypt, Nigeria, Kenya, Morocco, Ghana,
Uganda, Zimbabwe
• Agriculture companies in Africa majorly produce cereals, vegetables, dairy products and cash crops such as natural rubber and cotton
• Major manufacturing companies in Africa is spread across steel, automotive, agro equipment manufacturing and chemical
• BFSI companies in Africa is focusing on digital / mobile banking services for financial services, wealth management and insurance
• Telcom companies in Africa focus on providing Fixed line, Mobile and Broadband services. Recent focus is on cloud and 5G
Note: The represented data has been collected from multiple sources such as World Bank, ILO, Official Government Websites and curated by DRAUP
Oil & Gas
~2%Talent Employed
Nigeria, Libya, Algeria and Egypt, Ghana, Mauritius
• Oil & Gas companies in Africa focus on Oil Exploration, Drilling and Production. Recent focus is on building digital oil fields
Major Countries
Key Activities
Major Companies
55
Historical Footprint: Fastest growing internet and mobile penetration (~20% increase over last 1 year) has attracted global investments from Chinese telco and US Tech giants, resulting in development of over 420 technology hubs
Pre 2000 2000 - 2015 2015 and beyond
1850s 1900s 1950s 1990s 2000 2005 2010 2014YOE
2015 2016 2017
BFSI
Oil & Gas
Tech Giants
Startups
Telecom
• Increased technological investments by US and Chinese tech companies due to improved infrastructure and internet penetration
• Adoption of mobile phones, wireless networks and broadband was a driving factor for domestic and international telecom companies to create their presence
• Over 420 active technology hubs in 92 cities across 42 countries
• ~13% of these tech hubs have partnerships with leading Mobile Operators including Orange, MTN and Vodafone
• ~50% of these hubs have partnerships with technology giants such as Google and Microsoft, focused on developing and recruiting one of the largest digital workforce globally
• Major Oil & Gas companies especially from the US established their base for utilizing the abundant natural resources
• Traditional banks in the region established their presence after 1950’s for creating the financial systems and regulations. They also witnessed a large demand from the Oil & Gas industry for international transactions
The Internet Revolution Access to Large Market and Digital Talent
Note : DRAUP’s proprietary talent module was used to analyse the evolution of companies
The Oil Economy
66
Talent Hotspots: Early technology adoption and favourable Government initiatives has enabled South Africa, Egypt, Nigeria, Morocco, and Kenya to emerge as hotspots in Africa
SOUTHERN AFRICA
• Southern Africa is the largest ICT market in Africa by value and has a large installed cloud talent pool. The region has a presence of technology giants such as IBM, Microsoft and Facebook
• Cape Town in South Africa is the Tech Capital of Africa which has ~450-550 startups majorly present in the Stellenbosch area, employing between ~40-50K
• Angola and Botswana are the emerging countries in Southern Africa. They largely focus on developing technology talent in both traditional and emerging technology areas to address the burgeoning technology adoption
NORTHERN AFRICA• Northern Africa is home to large talent pool in emerging technology areas such as Big Data Analytics and AI• Egypt, Algeria and Morocco has a high technology talent in Cloud and Big Data, majorly employed by Telecommunication
companies such as Huawei and Etisalat• Egypt has built a reputation as an offshoring destination, having increased efforts in developing the telecom infrastructure,
nurturing its talent pool on advanced technologies such as Data Science, Big Data Analytics, Internet of Things (IoT), AI, and Cyber Security
EASTERN AFRICA• Eastern Africa attracted $200 Mn technology-based investments in 2017. Kenya had the maximum share of ~75%• Ethiopia, Rwanda and Uganda are emerging as the destination for technology hotspot. In 2017, ~$52.7 Mn technology
investments was collectively pooled across these nations with a major contribution from the Chinese Government• Major tech giants such as Google and Facebook are tapping these talent by creating Accelerators and ER&D centres• High adoption of mobile and fintech in Kenya is driving the country to become a hub in Blockchain and Cryptocurrency
innovation
WESTERN AFRICA
• ~100 active tech hubs are present in the Western African region, ~55 of these active tech hubs is based in Nigeria• Nigeria is the top country in Western African region that has a total workforce of ~69.5 Mn. A major chunk of talent is
employed in the Agriculture and Trade sectors• ~300K tech talent is present in this region. Ghana, Senegal and Ivory coast are the emerging tech hubs• ~50% of the Chinese investments was allocated to Nigeria and Cameroon for Infrastructure & Technology development
SOUTH AFRICA
KENYA
MOROCCO
EGYPT
NIGERIA
SOUTH AFRICABlockchain, Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, HCI, Cloud Platforms, Cloud Infra
KENYACybersecurity, Machine Learning
NIGERIAMachine Learning, Big Data, Cybersecurity, Blockchain
EGYPTComputer Vision, Machine Learning, Human Computer Interaction, Natural Language Processing, Deep Learning, Cloud Infra, Cloud Platforms
MOROCCOComputer Vision, Machine Learning, Cybersecurity, Blockchain
Note : DRAUP’s proprietary talent module was used to analyse jobs by locations and skill type
77
Decoding African Technology Talent: ~1.8-2 Mn tech-talent pool is employed across 200+ ER&D and IT centres of major MNCs, Native Companies and Startups
285KSouth Africa
227KEgypt
160KNigeria
129KMorocco
115KAlgeria
110KKenya
92KTunisia
65.5KGhana
59KAngola
59KIvory Coast
47KUganda
46K Tanzania
43.5KCameroon
42KEthiopia
41K Sudan
40KSenegal
36.5KZimbabwe
32.5KZambia
26KLibya
25KMadagascar
24KMauritius
23KBotswana
22.5KBotswana
21KBurkin Faso
20KRwanda
17KMalawi
16KCongo
8.5KSomalia
7.5KBurundi
6KLesotho
Note: The represented data has been derived using DRAUP Proprietary Talent Database
Note: Technology & Digital talent includes talent involved in Software Development, IT Infrastructure and talent in new age areas such as Machine Learning, AI and Big Data/Analytics
~80Talent Hotspots
~1.8-2 MnTotal Technology & Digital
Talent
>200Global ER&D and IT Centres
~20-25KDigital Job Openings Annually
Technology Talent Distribution Across African Nations
Landscape Overview
88
IT & Digital Centres : ER&D and IT centres of global MNCs are shifting their focus on digital transformation support. Development of cognitive computing solutions, data analytics & visualization platform development and cloud migration are some of the current focus areas
~175IT centres
~95ER&D
centres
~115companies has
Engineering & IT centres in Africa
~37%of these companies has presence across
multiple nations
~55-60Ktotal talent employed
45%
22%
8%
8%
5%
3%
2%
2%
South Africa
Egypt
Morocco
Nigeria
Tunisia
Algeria
Angola
Kenya
5% Others (Congo, Ethiopia, Ghana, Tanzania, Uganda)
Johannesburg, Cape Town, Durban
Cairo, Giza
Casablanca, Rabat, Tangiers
Lagos, Port Harcourt, Abuja
Tunis, Megrine
Algiers, Boudouaou, Oran
Luanda
Nairobi
200+ER&D and IT
centres In Africa
Major Workloads Of Large Enterprises
~15-20Kdigital talent
employed
Note : DRAUP’s proprietary talent module was used to analyse the talent spread and workloads across ER&D and IT Centres
Note: Total number of centres will be less than the sum of ER&D and IT centres as ~65 of these centres has both ER&D and IT functions
• Blockchain solutions for financial services and supply chain sectors• Design cloud migration strategies and methodologies using BPMonCloud, IIBoC• Build open source based Big Data Platform and perform Data Visualization• Design and analyse IoT based analytics for chemical & petroleum industry
• Design and deploy cloud services for Microsoft Azure platform• Support on Cloud infrastructure with focus on driving Microsoft Azure Business
Landing and Microsoft Datacenter Management Solutions all over MEA (Natural Language Processing, Knowledge Extraction, Speech Processing)
• Design private cloud platform with Openstack environment and internally host Red Hat Openshift Container Platform(OCP)
• Development of Digital Banking platforms and entire IT support across all the branches and for the ATMs
• Design RPA solutions for automating various telecom and networking operation• Development of M-Pesa, mobile based money transfer• Build UI/UX prototypes to develop flexible and well-structured front-end
architecture
99
Vertical Overview: Low labor cost has been the driving factor for Software MNCs in creating a large technology talent pool. Recent Chinese investments in Telecom and Banking verticals has enabled companies to add more IT and Digital talent
Top Verticals Employing Technology Talent In Africa
Software & Internet
60%Telecom &
Networking
20%BFSI
10%Energy / Oil &
Gas
5%
Others
5%
~1.8-2 MnTotal Tech Talent In
Africa
Top 5 African nations accounts for ~60% of the overall technology talent pool in the region
Low Medium High
Software & InternetTelecom &
NetworkingBFSI Energy / Oil & Gas Healthcare
South Africa
Egypt
Morocco
Nigeria
Kenya
Top Employers
Note : DRAUP’s proprietary talent module was used to analyse talent headcount and distribution across industry verticals and top companies
Talent size
1010
Chinese investments in Africa has consistently increased in the last few years. Africa stands as the third largest destination for Chinese investments behind Asia and Europe. ~25% of these investments are concentrated in Nigeria and Angola for infrastructure development
Note: The represented data has been collected from multiple articles such as Brookings, Telegraph and curated by DRAUP
Overall Chinese Investments in Technology Industry By Country
~$300 BnTotal Chinese
Investments In Africa(2005-2018)
~$21 BnTotal Chinese
Investments in 2018
~$7 BnTotal Chinese
Technology Investments (2005-2018)
~$0.5 BnTotal Chinese
Technology Investments in 2018
Chinese Companies trade with African
Nations
10K+
Key Insights
Telecom vertical has attracted a major share of Chinese investments in Africa. Telecom and cloud infrastructure were the major areas of these investments. Huawei, ZTE are the major Chinese investors
Nigeria is the only country where Chinese companies invested more than twice for the development of telecommunication and information technology industry
ZTE sponsored female students for pursuing IT degrees at the University of the Witwatersrand
Huawei hired more than 1,000 students from South Africa and trained them in China in emerging technologies. They also established six regional centres in South Africa, Nigeria, Kenya, Egypt, Tunisia and Angola to provide technical training for up to 2,000 local people annually
China’s $2,400 Mn investment on Ethiopia’s telecommunication industry is the highest technology investment made ever
High adoption of Fintech in Africa is well supported by Chinese companies. M-Pesa and other Fintech apps has enabled money transfer easier
Chinese companies ramping up operations
• Xiaomi and Realme is planning to enter the African market, currently Huawei, Transsion and Tecno Mobile dominate this market• Chinese bank provider UnionPay has launched its services across 50 African countries• Alibaba sets up a new ecommerce platform in Rwanda• SimbaPay launches Kenya to China payment service over WeChat• CloudWalk, an AI firm had an agreement with the Zimbabwe Government to deploy facial recognition software in Harare
1111
• Cloud Infrastructure Engineer
• Data Centre Cloud Architect
• Cloud Operations Engineer
• Cloud Applications Engineer
• Cloud Security Engineer• Cloud Support Engineer
• Data Centre Facilities Engineer
• Data Centre Facilities Technician
• Data Centre Architect
• Data Centre Manager• Data Centre Technician• Data Centre Engineer• Data Centre
Infrastructure Engineer
Data Centres in the African region is growing at a very fast pace to support the adoption of digital technologies. Demand for Cloud migration has significantly led to the creation of Colocation and Self Owned Centres creating more talent demand
South Africa 30%15 9 24
Nigeria 15%4 1 5
Kenya 10%5 5
Egypt 25%3 1 4
Mauritius 5%3 3 3
Major Data Centre Investments
• Huawei is building a data centre in South Africa for offering cloud AI and Big Data solutions to government institutions, enterprises, and consumers in the African region
• Liquid Telecom is planning to spend $400 Mn in Egypt for building data centres and rolling out cloud services
Data Centre Distribution – Top 5 Countries
Colocation Owned Total
60+No of Data Centres
in Africa
20-25 35-40Total number of self owned
Data Centres in AfricaTotal number of Colocation
Centres in AfricaEstimated new investments
in Data Centres
Data Centre Landscape In Africa
Note : DRAUP’s proprietary talent module was used to analyse jobs by locations and skill type
$180 Bn
• Microsoft is planning to launch their data centres in Johannesburg and Capetown to boost their Azure presence
• Schneider along with 21st Century Technologies has planned to launch a Tier IV data centre in Nigeria
New Data Centres
Top Colocation Service Providers
Total Data centre Talent in Africa
18-20KData Centre Talent in Africa
Companies with Data Centres
Major Data Centre Roles
Traditional Emerging
Factors driving the growth of Data Centres in Africa
Rapid adoption of Hybrid IT and cloud solutions and hyperscale is increasing the demand for data centres in the African region
African nations has the lowest talent cost globally. Raising IT infra & cloud talent along with the low cost advantage makes it a data centre hotspot
Adoption of broadband, high-speed internet and 4G networks which is creating a higher demand in local cloud based services is also fueling the growth
Data Centre Talent Overview In Africa Data Centre Investments
1212
Growing Cloud Adoption: Cloud adoption in Africa is growing at a rate of ~42%, creating high demand for roles such as Cloud Infrastructure Engineer and Cloud Operations/DevOps Engineer
~25,000Total Cloud Talent in
Africa
Cloud Job Family South Africa Egypt Nigeria Kenya
Cloud Enterprise Architect
Morocco Ghana Uganda Tanzania Zimbabwe
Cloud Infrastructure Engineer
Cloud Operations/ DevOps
Cloud Security Architect
Cloud Applications Engineer
Top Locations Emerging Locations
4,700
7,300
5,150
4,450
3,400
Cloud Enterprise Architect
Cloud Infrastructure Engineer
Cloud Operations/ DevOps
Cloud Security Architect
Cloud Applications Engineer
• Cloud adoption in Africa is growing at a rate of 42% annually, countries like South Africa, Nigeria, Kenya, Rwanda, Egypt and Morocco becoming the initial hubs for local cloud
• Cloud spending is witnessing a massive growth in the region. Revenue from private cloud grew by 17.5% to $3.3 Bn, and public cloud by 14.6% to $4.9 Bn in Africa last year
• It is estimated that ~1 Mn cloud related jobs will be created in the African region in the next five years. This will be majorly driven by large cloud service providers, telecommunications and banking / financial companies
• The key cloud computing vendors in the region are Microsoft Azure, Google Cloud Platform, Oracle Cloud, IBM Cloud and Dell Technologies, VMware. Companies such as Microsoft, Alibaba has plans to launch their data centres focused on cloud development in the coming years. This will increase the demand for Cloud Infrastructure Engineer and DevOps roles in the region
Top Employers High Medium Low
Key Insights
Note : DRAUP’s proprietary talent module was used to analyse jobs by locations and skill type
1313
• Banks and Fintech in Africa has adopted cloud to reduction the data management costs• Mobile and internet payments collectively dominate the digital payments space contributing
~83% of total digital payments transactions• Insurance companies in Africa are currently exploring ways of using IoT for enabling usage-
based auto insurance
Fintech vertical has been the driving factor in creating new age talent. High adoption of mobile wallets, payment platforms and cryptocurrency will generate newer roles in the subsequent digital areas such as Big Data and AI
Total tech talent in Africa developing Financial solutions
~0.2 MnFintech
Startups
300+Total Funding Raised (2018)
~$100 MnMobile users in
Africa
~440 MnSmartphone users
in Africa
~250 MnBank Accounts in
Africa
~65 MnMobile Wallets/ Mobile Money in
Africa
~120 MnMobile Money
Service Providers in Africa
~130
Mobile Penetration Digital / Mobile Banking Landscape Fintech Landscape
New Age Talent Spread Across FinTechFintech Startup landscape
27%
21%
16%
36%
South Africa Nigeria Kenya Rest of Africa
Top Fintech Startups
Big Data &Analytics
~ 7-10%
Cybersecurity
~ 6-8%
ML / AI
~ 5-7% ~ 5-7%
RPA
~ 4-6%
Cloud
South Africa, Nigeria, Egypt,
Morocco
Nigeria,South Africa,
Egypt
Egypt,SouthAfrica
South Africa,Egypt
South Africa, Egypt, Nigeria
Major Locations
Major Companies
Key Insights
Growth of Fintech
Africa has the largest concentration of the unbanked and underbanked population, which provides an opportunity for telecom equipment manufacturers to provide infrastructure and cutting edge digital solutions
China’s high investment and fast growth in Fintech sector has enabled them to take their financial services such as lending, insurance and wealth management to Africa
Top Chinese Fintech Accelerator in Africa
Ant Financial has launched a $10 Mn African innovators fund in South Africa
Huawei partnered with more than 10 Fintech startups like M Pesa in Africa for local market access
Note : The represented data has been collected from multiple articles such as GSMA, Fin24 and DRAUP’s proprietary talent module was used to analyse jobs by locations and skill type
1414
Emerging Tech Startups Top EmployersEmerging Tech Startups Top Employers
Emerging Startup Zones: Uganda, Ghana & Rwanda are emerging hotspot for technology talent. Major tech giants such as Google and Facebook are tapping these talent by creating Accelerators and ER&D centres
Uganda
• Uganda is one of the leading nation in Africa with advanced technological and innovation capabilities
• It is home to more than 15 accelerators, incubators and other small tech hubs of which more than 50% are located in Kampala alone
• Google Developers Group (GDG), is a popular circle for developers in Kampala
• These hotspots are home to big firms such as MTN, Huawei and Upwork. A significant amount of cloud talent is present in Uganda in the region
Note : DRAUP’s Proprietary Talent Module was used to identify the Startups and Hotspots
• Google’s first African AI centre will be launched in Ghana in the next year
• Accra, the capital city of Ghana is a major technology hotspot with ~16 tech hubs and accelerators
• Ghana has high presence of software development, cloud and cybersecurity engineers majorly employed across large enterprises in the region
• Ghana government has expressed a lot of interest on cryptocurrency and blockchain technology and has taken lot of initiatives
Ghana
Emerging Tech Startups Top Employers
Rwanda
• The Rwanda Government had played a significant role in driving digital transformation initiatives. It is emphasizing and developing long term plans and investing in huge IT Infrastructure
• The capital city of Rwanda, Kigali, is turning into the tech hub of Sub – Saharan Africa. Kigali has a higher presence of talent in the field of cybersecurity, big data and software development
• The city is focusing on developing modern infrastructure to facilitate operations of tech companies in the field of fintech, big data and cybersecurity
Hotspots: Kampala, Mbarara Hotspots: Accra Hotspots: Kigali
1515
A new talent sourcing model is getting adopted in Africa where native companies build and train distributed engineering teams. Large MNCs hire these talent enabling them to leverage Africa’s untapped grey matter talent pool without any physical existence
Fresh and experienced talent enroll with talent sourcing firms
Hired talent undergoes a technical training program across various technologies in the SDLC
Trained talent is matched up with the requirements from MNCs and is allocated accordinglyTalent Sourcing Model
Andela helps companies build high-performing, distributed engineering teams with Africa's most talented software developers. Based in Nigeria, Kenya, and Uganda, Andela developers work as full-time, remote engineers with leading technology firms around the world
Top Hirers from Andela
~130,000Total no of Applicants till (2018)
~200+Hiring Partners
~1,100+Total Developers Hired
~6 MonthsTotal no of days for On boarding
~60+Total no of skills assessed
Sample Stacks
WEB
JavaScript
PHP
Python
Ruby
Angular React
Laravel
Django
Rails
MOBILE
Android Java
iOS
DevOps
Swift
Key Partner Profile
• In July 2016, Andela partnered with The Zebra, a comprehensive car insurance comparison site to improve their mobile user experience and migrate their systems to a micro services architecture
• Starting with 2 Andela developers, they’ve scaled rapidly to the 13 developers today who are working as full-time team members on 5 different Zebra teams, including customer acquisition, digital marketing, data and platform
Sample Job Roles: • Software Developer • Full-Stack Developer
Sample Profile – Yinka Makanjuola
Yinka MakanjuolaSoftware DeveloperThe Zebra
Responsibilities:
• Build Direct Rate Integration Framework and Turbine (DRIFT), a highly scalable and customizable asynchronous micro service
• Build Ad Turbine to fetch and consolidate ads from multiple ad exchanges
• Automate the generation of sales using lead data provided by the insurance partners
Education:
BSc. Computer Engineering at University of Lagos
Note : The represented data has been collected from Andela curated by Draup
Yinka joins Andela with 4 years of work experience in IT systems engineering
Gets trained in Python and Django through Andela’s training module
Aligned to Zebra as a Software Developer and built integration frameworks for insurance companies using Python
Sample Profile
Case Study: How Andela is helping MNCs in tapping the technology talent in Africa?
1 2 3
1616
Demand Analysis: The demand for jobs in emerging technologies such as Cloud, AI/ML, Data Science and Big Data is significantly high when compared to the traditional roles such as Software Development and Testing and Infrastructure / Support roles
~5,100 Digital Job Openings in Africa for the past 90 days (Across 7 job clusters analysed)
Job Family South Africa Egypt Nigeria
Software Development
Morocco
AI/ML/Data Science
Cloud
Big Data/ Analytics
Internet of Things
Security
UI/UX
Low Medium High
Demand Analysis by Country
~3,650South Africa
~950Egypt
~250Nigeria
~250Morocco
CloudIoT UI/UXSecurityAI/ML S/W Dev.
High
Big Data Analytics
Cybersecurity
Human-Computer Interaction
Machine Learning
Threat Intelligence & Monitoring
Cloud Development
Enterprise Applications
Software Development
Mobile ApplicationsData Visualisation
Talent Pool Maturity
Niche CapabilitiesNascent Capabilities Emerging Capabilities Mature Capabilities
IoT Engineering
Low
High
Tale
nt
Po
ol D
em
and
Demand Analysis by Technology
User Interface Design
AI
Big Data
Risk Management
• Demand for traditional and legacy roles are stagnant, while more demand is witnessed across the new age roles
• Automation and analytics technology roles are gaining importance and will be of higher demand in the near future
Note : The represented data has been collected from DRAUP’s Proprietary Talent Module was used to analyse demand across job families
1717
NIGERIA – TALENT DEEP DIVE ANALYSIS
1818
NIGERIA - OVERVIEW
18
1
~69.5 MnTotal Workforce
Insights
2
3
4
~160KTotal Tech Talent
~600Total Startups
1The Infrastructure vertical contributes ~35% of the country’s total GDP. Investments in infrastructure projects is worth $100 Bn and is the second largest spender after South Africa in the region
1Nigerian government invested $50 Bn in ICT till 2018 and pooled ~$40 Bn through FDI. They are also planning to invest $88 Bn on digital technologies such as Blockchain, AI/ML and Data Science
1The government is planning to grow Nigeria as a major destination for data science, advanced analytics and big data projects outsourcing and is aiming to generate ~10% of the global analytics business worth $3.3 Bn in revenue by 2020
Nigeria launched the world’s first fully digital end-to-end block chain based commodity trading and finance platform in partnership with Binkabi and AFEX Commodities Exchange aimed at reducing the intermediaries in agriculture commodity trading
Note: The represented data has been collected from Nigerianstat and curated by Draup
1919
Nigeria has a total workforce of ~69.5 Mn with a major chunk of talent employed in the Agriculture and Trade sectors
Unemployment rate* ~23.1%
Median age ~20 Years
Sex ratio 50 Female/51 Male
GDP ~$376 Bn
GDP growth rate ~2.1%
Median Household Income $645
Percentage of workforce across different industries
Total Workforce : ~69.5Mn
Agriculture industry employs ~49% of the total workforce and contributes ~21% of the total GDP. The government is continuously investing to improve some infrastructure
deficit, like access road, water supply, power supply for increasing the agriculture exports
Telecom segment in Nigeria has reached over $35 Bn investments in 2017, of the total $50 Bn Information and Communication Technology (ICT) investment by the Nigerian Government. ~7-10% of the overall Nigerian working population is employed in this
segment
Over 90% of individuals and corporate businesses in Nigeria completely rely on the mobile industry for their day-to-day transactions. Number of mobile subscribers in
Nigeria is ~240 Mn
China is Nigeria’s largest contractor and partner in infrastructure projects with total volume of projects estimated at US$77 Bn. A majority of these investments are diversified into development of connectivity infrastructure and for telecom and
technology infrastructure development
Population: ~203 Mn
Literacy rate*: ~65.1%
Top Spoken Languages: English, Yoruba, Fula, Hausa, Igbo
Note: The represented data has been collected from Nigerianstat and curated by Draup
2020
Location Hotspot: Lagos is the key hotspot in Nigeria. Yaba, Mushin and Ikoyi are the home for startups, employers and universities respectively
Nigeria
Lagos State University
Federal College of Education
National Open University of Nigeria
Anchor University
International Christian University
IBM
MTNAirtel
Me Cure
Shell
Ikoyi Area
Mushin
Co Creation HubNG Hub
Iroko
Yaba
Note : DRAUP’s Proprietary Talent Module was used to analyse hotspots by locations and Industry wise
• Ikoyi Area is the employer hotspot in Lagos
• Ikoyi Area (Victoria Island, Lagos Island, Ajah and Lekki) has ~10,000 companies in major sectors such as Telecom, Oil & Gas, Engineering, Pharmacy, etc.
Hotspots in Lagos
Employer Hotspot Startups Hotspot
~55Total Tech Hubs in Nigeria
~31Total Tech Hubs in Lagos
• Yaba is the hotspot for Startups in Lagos
• Yaba’s Startups received $115 Mn investment which is 20% of the total African Investment
• The Africa’s most recognized e-commerce startup Konga is based out of Yaba
~165Total Universities in Nigeria
~20Total Universities in Lagos
• Mushin is the university hotspot in Lagos
• There are about 10 universities in and around Mushin, Lagos
• The Lagos state government partnered with Samsung to develop technical education by setting academics within colleges
University Hotspot
• Lagos has the largest tech hub ecosystem with ~31 active tech hubs of the total 440+ tech hubs in Africa. Lagos accounts to ~70% of the national industrial investments making it attractive to job seekers across the country
• Abuja is the second largest city in Nigeria which is growing as a Startup city with more number of young entrepreneurs and tech talents. Abuja Technology Village is one of the major SEZ promoting technology research, incubation and development
• Lagos hosts various tech parks promoting MNCs and Startups in setting up their centres. Few of these are Zone Tech Park, Co-creation hub, MEST, Capital Square, Passion Incubator, Leadpath Nigeria, Impact Hub, iDEA Hub and NG_Hub
• Africa’s most recognized “African University of Science and Technology” is at Abuja. The city is surrounded by several other universities which makes it a hotspot for fresh talent hiring
Lagos
Key Insights
Lagos
Abuja
2121
Digital Job families: ~79% of the overall tech talent in Nigeria is spread across Software Development and digital verticals. While the talent spread in core digital clusters such as AI/ML, Cloud, Security, IoT and Analytics is ~35% of the overall tech talent
70,500
3,00010,000 11,000
3,000
27,000
2,500
Total Talent across IT and Digital job families: ~160,000
Employed talent in Digital Jobs across 7 Job Families
Note: The represented data has been derived using DRAUP Proprietary Talent Database
Software Development
Data Science/ ML/AI
CloudBig Data/
Analytics/BIIoT Security UI/UX
Cyber Security Engineer
Network Security Engineer
Security Analyst
Network Support Engineer
UI/UX Designer
User Experience Designer
UI Developer
Graphic Designer
Cloud Engineer
Cloud Solution Architect
Cloud Operations Engineer
Cloud Infrastructure
Engineer
Data Scientist
Business Intelligence
Analyst
ML Engineer
Data Science Programmer
Software Developer
Full Stack Developer
Mobile Application Engineer
Web Engineer
Big Data System Engineer
Data Analyst
Big Data Developer
Big Data Analyst
IoT Design Engineer
IoT Engineer
IoT Specialist
IoT Developer
Others
33,000
Others include talent in System Integration, IT Consulting and
Support
System Analyst
Network Engineer
Project Manager
Data Centre Technician
2222
Nigeria Technology Talent Distribution: Precisely estimating the talent suited for digital roles, involves several interviews and deeper understanding of technical stacks across resumes and profiles
70,500
Data Science/ ML/AI
Software Development
CloudBig Data/
Analytics/BIIoT Security UI/UX
3,000 10,000 11,000 3,000 27,000 2,500
Top companies employing Digital Talent
Other Major Players
Total Talent across 7 tech job families analysed:
Note: The represented data has been derived using DRAUP Proprietary Talent Database
2323
Top Skills: Large proportion of employed talent pool is skilled in HTML, SQL, and Java
Scala 100 Ansible 100 Chef NLP 50 Puppet 50
SQL 19,000 HTML 18,000 Java 14,000 C/C++ 11,000 PHP 10,600
Node.js 2,300 Ajax 2,000 Git 1,600 Ruby 700 Data Warehousing 600
Shell Scripting 500 Docker 500 Ruby on Rails 450 Spark 360 Perl 350
Deep Learning 280 Perl 260 Hadoop 250 Jenkins 220 Kubernetes 150
Shell 10,000 .NET 6,000 Python 6,000 5,000 XML 3,600
Hig
hM
ediu
mLo
w
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
50
jQuery
2424
Top Skills: Java, Neural Networks, SQL are the top skills identified across Software Development, AI/ML and Cloud job families respectively
Software Development AI/ML/Data Science
10,500
8,300 8,000
4,400
Java PHP C/C++ .NET
Java PHPNeural
NetworksNLP Angular.js
Cloud
SQL DockerGit.NetC/C++
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
90
50
40
Neural Networks' NLP Angular.js
1,000
260200
SQL Git Docker
2525
250 250
60
CSS HTML InteractionDesign
Top Skills: Data Warehousing, MongoDB, Python, Penetration Testing and CSS are the top skills identified across Big Data / Analytics, IoT, Security and UI/UX job families respectively
UI/UX
PenetrationTesting
Intrusion Detection
Interaction DesignCSS HTML
Data Warehousing
MongoDB Scala
Big Data/ Analytics
Python Arduino Node.js
IoT Security
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
160 160
150
DataWarehousing
MongoDB Scala
170
70
50
Python Arduino Node.js
400
150
PenetrationTesting
IntrusionDetection
2626
Cost Analysis: High demand for Cloud and Big Data talent is driving the high salary for these Job rolesM
edia
n S
ala
ry (
USD
) p
er a
nn
um
$26,000$29,000 $30,000
$22,000$25,000
$28,000
$38,000$41,000 $42,000
$28,000
$33,000
$41,000
$47,000
$51,000 $52,000
$35,000
$42,000
$50,000
Software Development Big Data Analytics Cloud UI/UX Security Artificial Intelligence
Entry (0-5) Middle(5-10) Senior (10+)
$39,000$37,000 $40,000 $41,000 $28,000 $33,000
$36,000Average Salary
Note: The represented data has been derived using DRAUP’s Talent Simulation Module
2727
Nigeria Talent Distribution: ~60% of the Digital and IT talent is employed by the top 5 verticals. Software & Internet, and Oil & Energy collectively employs ~43% of this talent. Overall Digital and IT talent employed by Startups is ~1,000
33%
10%6% 6% 5%
40%
Software & Internet Oil & Energy Healthcare Telecommunications BFSI Others
Total Digital and IT Talent
~1,000
Total Digital and IT talent across Enterprises :
~ 159,000
Top Employers Top Employers
Enterprises1 Startups2
Note: Others include talent from industries like Semiconductors, Biotechnology, etc.
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
2828
Software/Internet Industry Deep Dive: Talent Maturity Analysis – Over 52% of the employed digital talent in analysed job families have 0-5 years of experience
53%
78%
26%
69%
52%
35%
54%
31%
15%
39%
21%
29%
40%
32%
16%8%
35%
10%18%
25%14%
Software Development AI/ML/Data Science Cloud Big Data/ Analytics IoT Security UI/UX
0-5 Years 5-10 Years 10+ Years
Employed Talent Distribution Across Job Roles and Years of Experience
~24,000 ~700 ~5,000 ~1,000 ~800 ~18,000 ~3,500
Enterprise/Startup Talent~53,000Employed Talent is
(analyzed job roles)
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
2929
Software/Internet Industry Deep Dive : Software development Job family constitutes majority of the employed digital talent; Tech Giants have high focus on Security and IoT services
150 - 200
Focus Areas: • Visual Recognition for IBM Watson• IBM IoT Blockchain• IBM Cloud Security solutions
20 - 40
Focus Areas: • Cyber Security for endpoint security solutions • Cloud Computing Services• Business Intelligence and Analytics
250 - 300
Focus Areas:• Cloud services for CWG smart utility solution and Payment
Gateways• CWG SAAS for SMERP solutions
150 - 200
Focus Areas: • Cloud Solutions for Sitelock and Windows hosting• Application Development: PayChoice – Payment Automation
Product
100 - 150
Focus Areas:• Cloud Services for SAP• Security for hybrid IT• Business Intelligence and Analytics• Digital data management, Cybersecurity
Products/TechnologiesSoftware CloudBig Data/ Analytics
IoT Security UI/UXAI/ML/
Data Science
0%
9% 4%
0%
0%
0% 0%
0%
0%
0%
0%
2%
0%
0% 0-25% 25-50%
85% 0% 0% 0%
96% 2%
50%
0%
0%
81% 0% 0% 7% 10% 2%
50-100%
13%2%
4%83%
0%
50%
0%
Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type
3030
Oil & Energy Industry Deep Dive: Talent Maturity Analysis - ~39% of the employed digital talent in analysed Job families have 0-5 years of experience
24%
62%
20%
49%40%
22%
59%
43%
28%
35%
28%36%
40%
29%
33%
9%
45%
24% 24%
38%
12%
Software Development AI/ML/Data Science Cloud Big Data/ Analytics IOT Security UI/UX
0-5 Years 5-10 Years 10+ Years
Employed Talent Distribution Across Job Roles and Years of Experience
~4,750 ~200 ~250 ~500 ~150 ~700 ~450
Enterprise/Startup Talent~7,000Employed Talent is
(analyzed job roles)
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
3131
Oil & Energy Industry Deep Dive: Software development job family constitutes majority of the employed digital talent; Top Employers have high focus on Security, Bigdata/Analytics and Cloud services
Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type
60-100
Focus Areas: • Subsurface data analysis using AI
200-250
Focus Areas: • Handle pumping equipment using Human Machine
Interface(HMI) and AI• Analyse performance of rotating equipment to detect
failures using predictive models
350 -400
Focus Areas: • Predict and maintain compressors, valves using IoT and
Machine Learning• Using AI for complex data interpretation for offshore and
onshore operations
200-250
Focus Areas: • Development of submersible robots to monitor and analyse
deep water drilling and exploration using AI
160-200
Focus Areas:• Track oil tankers and vessels using IoT
Products/Technologies
60%
Software Development
CloudBig Data/ Analytics
IOT Security UI/UXAI/ML/Data
Science
17%
5%
0% 17%
3%
5%
11%4%
0%
7%
5%
70% 5% 11%0%
0%
2%
0%
0% 7%
71% 3%
14% 5%
7%
3%
6% 2% 15%
3% 10%
0%66%
66%
0% 0-25% 25%-50% 50-100%
3232
HealthCare Industry Deep Dive: Talent Maturity Analysis - ~43% of the employed digital talent in analysed Job families have 0-5 years of experience
47%
33% 33%
50%56%
45%36%
30%
33% 33%
25%
24%
30%
32%
23%
33% 33%25%
20%25%
32%
Software Development AI/ML/Data Science Cloud Big Data/Analytics IoT Security UI/UX
0-5 Years 5-10 Years 10+ Years
Employed Talent Distribution Across Job Roles and Years of Experience
~500 ~50 ~50 ~350 ~250 ~300 ~250
Enterprise/Startup Talent~1,750Employed Talent is
(analyzed job roles)
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
3333
HealthCare Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on IoT and Security
Focus Areas:• Medical Intelligence and Surveillance Systems to review the
dynamics of the healthcare
Focus Areas:• Machine Learning in Medical Devices
60 -100
60- 100
Focus Areas:• Electronic Medical Records, Remote Monitoring
100-150
Products/Technologies
50%
Software Development
CloudBig Data/ Analytics
IoT Security UI/UXAI/ML/
Data Science
0%
0%
33%
0%0%
0%
0%
0%
0%0%
0% 33%
50%
0% 50% 0%
0% 50%
0%34%
0% 0-25% 25%-50%
Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type
3434
Telecommunications Industry Deep Dive: Talent Maturity Analysis - Over 39% of the employed digital talent in analysed Job families have 10+ years of experience
25%33%
13%
30%
20%24% 28%
44%33%
42%
40%
33%30%
33%
31% 34%
45%
30%
47% 46%39%
Software Development AI/ML/Data Science Cloud Big Data/ Analytics IoT Security UI/UX
0-5 Years 5-10 Years 10+ Years
Employed Talent Distribution Across Job Roles and Years of Experience
~2,800 ~100 ~1,000 ~150 ~250 ~600 ~350
Enterprise/Startup Talent~5,250Employed Talent is
(analyzed job roles)
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
3535
Telecommunications Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on Security and Cloud services
275 – 300
Focus Areas:• Business Cloud Services platform for storage and backup
Analytics for customer insight for a complete view of customer satisfaction, revenue, and device and network performance
150 - 200
Focus Areas: • Cloud and Network Function Virtualization Infrastructure (NFVi)
solutions• Cloud applications for telecom providers
450 – 500
Focus Areas: • Hyper cloud solutions• Big Data• 5G Networks
250 – 300
Focus Areas: • Cyber Security apps for smartphone users• 4G/5G Networks
150 – 200
Focus Areas:• Nokia AirFrame open edge server for cloud deployments to drive
implementation of RAN, MEC and 5G• Cognitive Analytics for telecom service providers
Products/Technologies
56%
Software Development
CloudBig Data/ Analytics
IoT Security UI/UXAI/ML/Data
Science
23% 5% 18%
9%
6%6%
2%
10%
2%0%
36% 0% 0%
16% 3% 13%
18% 27%
50%
0% 0-25% 25%-50%
Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type
23% 8%0% 8% 15%0%46%
12%0%42% 0% 4%25% 17%
50-100%
0%
3636
BFSI Industry Deep Dive: Talent Maturity Analysis - Over 41% of the employed digital talent in analysed Job families have 0-5 years of experience
35%
60%
23%
53%60%
22%
37%
35%
20%
37%
27%20%
41%
36%
30%20%
40%
20% 20%
37%27%
Software Development AI/ML/Data Science Cloud Big Data/Analytics IoT Security UI/UX
0-5 Years 5-10 Years 10+ Years
Employed Talent Distribution Across Job Roles and Years of Experience
~3,500 ~100 ~500 ~500 ~50 ~750 ~600
Enterprise/Startup Talent~6,000Employed Talent is
(analyzed job roles)
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
3737
BFSI Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on Security, Bigdata/Analytics and UI/UX design services
350-400Focus Areas:• Network and security services for mobile banking app• Big Data services to maintain customer information system
75-100
Focus Areas:• Digital Banking Analytics• AI• Network Security
350 -400
Focus Areas:• AI & Machine Learning• Cloud Computing Services• Big Data Analytics for customer segmentation & targeting
250-300
Focus Areas:• GTPay- secure internet payment gateway• Cybersecurity solutions for online mobile banking services
250-300
Focus Areas:• Advanced Analytics and Bigdata• Design FlashMe Cash – Mobile banking platform
Products/Technologies
54%
Software Development
CloudBig Data/ Analytics
IOT Security UI/UXAI/ML/Data
Science
10%
8%
2% 10%
6%
2%
9%5%
6%
8%
6%
60% 0% 0%20%
12%
2%
2%
0% 0%
56% 0%
14% 17%
20%
8%
13% 2% 15%
8% 14%
3%50%
58%
0% 0-25% 25%-50% 50-100%
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
3838
~15Total number of
Accelerators
• Zinternet, a mobile banking provider was acquired by Konga in 2015 and in 2018 Zinox acquired Konga. This is the most notable acquisition in the Nigerian startup activity
• Interswitch acquired Vanso – a mobile and security focused financial technology provider in 2016. The intention of this acquisition was to expand Vanso’s geographic and product spread
• Canada headquarted Firm 1001 Squared acquired Quickhelp in May,2018 for a better market access
Nigeria Startup Overview: Nigeria has the largest startup base in Africa and is home to Jumia, a unicorn startup. Nigeria has a presence of ~600 Startups and ~15 Accelerators. Lagos has ~80% of the overall startups in Nigeria
Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type
• Google and Facebook, opened their own hubs and launched accelerator programmes in Nigeria in 2018
• Total funding of ~$117 Mn has been received by the Nigerian startups in the first three quarters of 2018, of which 20% is grants
• Fintech startups such as Paga, Mines, and Paystack received the major funding last year. Fintech as a whole received the major share of Nigerian startup funding
~600Total number of Startups in
Nigeria
Key Startup Acquisitions
~15Total Hubs
Major Startup Verticals
Company Headcount WorkloadFunding
$13M
Mines offer digital Credit-as-a-Service platform to domestic banks, mobile operators, retailers, and
payment processors~50
$34.7M~250
Paga is an online platform that allows users to transfer money, receive refunds and make mobile payments
directly from bank accounts
Startup Overview
Flutterwave
$20.1M~100
Flutterwave is an online payment gateway that allows merchants and banks to accept, manage and process
digital payments.
Top Funded Startups
~114 MnTotal funding received in
2017
Software Development
Healthcare Advertising AgritechFinTech E-CommerceEdtech Travel
Bubble size indicates the intensity of Startups
3939
Nigeria
Ibadan
Abuja
Lagos
Abeokuta
Enugu
Ilorin
UNIVERSITY DISTRIBUTION
Ota
Uturu
Yola
Benin
Makurdi
Calabar
Lokaja
Kaduna
Okija
Ondo
Intensity of University
UNIVERSITYCOMPUTER GRADUATES
SOFTWARE DEVELOPMENT
AI/ML/DATA SCIENCE
CLOUD CYBERSECURITY IOTBIG
DATA/ANALYTICSUI/UX
Federal University of Technology,
Minna
~910-950 LOW LOW LOW HIGH
University of Nigeria ~500-540 MEDIUM LOW
University of Ibadan ~400-440 HIGH LOW LOW
Lagos State University, Ojo
~360-410 MEDIUM LOW LOW
Ahmadu Bello University
~330-370 HIGH LOW LOW LOW
Covenant University ~90-130 HIGH LOW LOW LOW
Curriculum Maturity
Number of Courses
HIGH MEDIUM LOW
HIGH MEDIUM LOW
TOP HIRING COMPANIES COST PER HIRING
LOWHIGH$ 11,000 $ 10,000
~14650% 50%
STEM (Science,Technology, Engineering
and Math)
Linguistics andManagement
Course Adoption Rate Key Takeaways
~1 % of the student population is outside the African region
In Nigeria, majority of the students prefer management courses when compared to science and technology courses due to low job opportunities
Nigeria has five major training institutions which provide new age technology courses such as Data Analytics, AI, Business Intelligence, Data Science, Data Mining, Machine Learning
University Overview
Universities In Nigeria
~266,400Total Graduates
~234,400UG
~32,000PG
~149,200
~117,200Male Graduates
Female Graduates
$10,500
University Ecosystem: Nigeria has ~146 universities with ~0.2 Mn graduates. Half of the total graduates has adopted STEM related courses
Note : DRAUP’s Talent Module analysed universities in Nigeria and nearby locations to identify top universities and key courses
4040
University Deep Dive: Federal University Of Technology, Minna
Academic Programmes : ~37
Post-GraduateUnder-Graduate
Graduates: ~3,750
Enrolments: ~20,650
Under-Graduate
Federal University of Technology, Minnawww.futminna.edu.ng
~3,430 ~320
~1,750~18,900
Computer Related Programmes: ~5
Post-Graduate
Full Time Professors : ~84
Computer Science Professors: ~28
KEY TOPICS
KEY ALUMNI COURSES OFFERED
• B.Tech/B.Eng. Computer Science• Ph.D. Computer Science• M.Tech. Computer Science
AWARDS
• Data Structures• AI • Cryptography Theory I • Cyber Crime & Countermeasures • Cloud Computing • Cyber Forensic • Data Mining • Current trends In Cyber Security
COST PER HIRING
LOWHIGH
$ 11,000 $ 10,000$10,500
TOP HIRING COMPANIES
KEY STARTUPS BORN
Zuhri Concept Designs Limited
Dogged WELLS
Oluwaseun SonaikeHead, IT Security Managementat Keystone Bank Limited
Vincent AgalabChief Technology Officer at dew marketing ltd
Amakiri WelekweHead, Information Technology at Shorelink Oil and Gas Services Limited
Fatai OlajideTechnical Head (Cross-river Region) at Globacom
Engr. James UgbojoideChief Technology Officer at Content Oasis Ltd
Sani LokojaAD/Head, Information & Communication Technology at NEMA
Note : The above information is based on data provided by Federal University Of Technology and DRAUP Proprietary Database
• The Federal University of Technology Minna (FUT Minna) is the third best university inthe 6th Nigerian Universities Research Development Fair (NURESDEF)
4141
Academic Programmes : ~81
Post-GraduateUnder-Graduate
Graduates: ~9,300
Enrolments: ~24,500
Under-Graduate
University of Ibadanhttps://www.ui.edu.ng/
~5,400 ~3,900
~10,100~14,400
Computer Related Programmes: ~4
Post-Graduate
Full Time Professors : ~410
Computer Science Professors: ~25
KEY TOPICS
KEY ALUMNI COURSES OFFERED
• B.Sc. Computer Science• M.Sc. Computer Science• M.Phil./Ph.D. Computer Science
AWARDS
• University of Ibadan was awarded NMGS/CHEVRON RESEARCH AWARD 2010 for the bestpublished Doctorate Research work in the field of Petroleum and Geosciences
• Advanced AI• Data management • Advanced Programming
Techniques • Real Time Programming • Application Programming
COST PER HIRING
LOWHIGH
$ 10,800
TOP HIRING COMPANIES
KEY STARTUPS BORN
The BlackLeo Hub
Owen EholoTechnical Director at Huawei Technologies
Kelvin Oyanna KHead, Data Science Program at FavCode54
Kelvin UgbanaDirector of Information Systems at PageInfinix
Emmanuel IbrahimHead, Enterprise IT Security at Access Bank Plc
Matt AdesanyaCTO at Workforce Group
Stephen OhiomobaHead (Web, Payment & Collection/ Mobile Management) at Diamond Bank Plc
University Deep Dive: University of Ibadan
$ 10,000$10,400
Note : The above information is based on data provided by University of Ibadan and DRAUP Proprietary Database
4242
University Deep Dive: Covenant University
Academic Programmes : ~32
Post-GraduateUnder-Graduate
Graduates: ~1,150
Enrolments: ~7,900
Under-Graduate
Covenant Universityhttps://covenantuniversity.edu.ng/
~714 ~436
~2,900~5,000
Computer Related Programmes: ~3
Post-Graduate
Full Time Professors : ~51
Computer Science Professors: ~26
KEY TOPICS
KEY ALUMNI COURSES OFFERED
• B.E. Computer Engineering• B.Sc. Computer Science• M.Sc. Computer Science
AWARDS
• Covenant University was awarded Best Private University 2017 Award
• System Analysis and Design• Internet Programming • AI • Human-Computer Interface
(HCI) • Fundamental of Data Structure• High Performance Computing &
Database Management I
COST PER HIRING
LOWHIGH
$ 10,800
TOP HIRING COMPANIES
KEY STARTUPS BORN
Startup Fiber
Chukwuebuka OlisaemekaChief Technical Officer at Listaccltd
Seyi OguntundeFounder/CTO atIntellectric
Ayomide AdeniranTechnical Product Manager at Delivery Science Inc
Ojuri FolorunsoHead, Network Operations Center & Datacenter at 21st Century Technologies
Olakunle DavidHead, Software & Applications at Hygeia HMO
Adija UzodinmaBusiness Analyst Manager at RenMoney MFB LTD$ 10,000
$10,400
Note : The above information is based on data provided by Covenant University and DRAUP Proprietary Database
4343
University Deep Dive: Ahmadu Bello University
Academic Programmes : ~37
Post-GraduateUnder-Graduate
Graduates: ~7,000
Enrolments: ~49,000
Under-Graduate
Ahmadu Bello Universitywww.abu.edu.ng
~5,700 ~1,300
~9,100~39,900
Computer Related Programmes: ~5
Post-Graduate
Full Time Professors : ~579
Computer Science Professors: ~30
KEY TOPICS
KEY ALUMNI COURSES OFFERED
• B.Sc. Computer Science• PGD. Computer Science• M.Sc. Computer Science• Ph.D. Computer Science
AWARDS
NA
• Web Applications Engineering I• Database Management Systems• Human-Computer Interface (HCI) • Computer Knowledge and
FORTRAN Programming• Formal Methods in Software
Development
COST PER HIRING
LOWHIGH
$ 11,000
TOP HIRING COMPANIES
KEY STARTUPS BORN
Carven Service Limited
Emeka EnwonwuChief Technology Officer at eMerge Technology
Moses AjayiChief Technical Officerat Wavelength Integrated Power Services
Abdulrasheed Bako ZuntuDirector Computer Operation at Bako Zuntu & Co. Ltd
Shola Ezekiel OwokoniranChief Web Officer at Abuja Geographic Information Systems
Nkem Michael OnuorahTechnical Director at BVC CONSULTING LTD
Peter ONIPEHead, Transmission (Abuja & North-Central Nigeria) at Globacom
$ 10,200$10,600
Note : The above information is based on data provided by Ahmadu Bello University and DRAUP Proprietary Database
4444
Academic Programmes : ~93
Under-Graduate
Graduates: ~10,500
Enrolments: ~47,200
Under-Graduate
University of Nigeriahttp://www.unn.edu.ng/
~8,000 ~2,400
~10,900~36,300
Computer Related Programmes: ~2
Full Time Professors : ~362
Computer Science Professors: ~33
KEY TOPICS
KEY ALUMNI COURSES OFFERED
• B.Sc. Computer Science• M.Sc. Computer Science• Ph.D. Computer Science
AWARDS
NA
• Machine and Assembly Language• Organisation of Programming
Languages• Structured Programming • AI Concurrent • Programming Data Structure
COST PER HIRING
LOWHIGH
$ 10,800
TOP HIRING COMPANIES
KEY STARTUPS BORN
Rahmah Omotoyosi OshoalaVP at Teknohub Solutions
Favour Femi-OyewoleChief Information Security Officer at NSE
Dr Alex NdukweChief Technical Officer at TEKVILLE SYSTEMS
Christian OgalabuCEO/CTO at Cosoftaas Limited
Chike IlonubaChief Technical Officer at BocaKonsult Services LLC
Raphael E. EmekaChief Technical Officer at AGE-MATE LIMITED
University Deep Dive: University of Nigeria
Post-Graduate
Post-Graduate
$ 9,900$10,350
Note : The above information is based on data provided by University of Nigeria and DRAUP Proprietary Database
4545
Academic Programmes : ~65
Under-Graduate
Graduates: ~10,500
Enrolments: ~25,800
Under-Graduate
Lagos State University, Ojowww.lasu.edu.ng
~4,850 ~420
~2,040 ~23,760
Computer Related Programmes: ~4
Full Time Professors : ~79
Computer Science Professors: ~22
KEY TOPICS
KEY ALUMNI COURSES OFFERED
• B.Sc. Computer Science• M.Sc. Computer Science• M.Phil./Ph.D. Computer Science
AWARDS
• Long Service Award presented to 500+ faculties of Lagos State University
• Human Computer Interaction• AI• Robotics• Functional Programming
COST PER HIRING
LOWHIGH
$ 10,800
TOP HIRING COMPANIES
KEY STARTUPS BORN
University Deep Dive: Lagos State University, Ojo
Olufemi MogajiHead, Information Security at Venture Garden Group
Tajudeen SalaudeenHead ICT at Association of National Accountant Of Nigeria (ANAN)
Enyinna NlemadimManager/Head IT FUTO Microfinance Bank
Donald IkechukwuLead, Information Security Risk Assurance at FirstBankNigeria
Abolaji Fatai OyeboHead, Technology Services (CIO) at The Nigerian Stock Exchange (NSE)
Oluwasegun AkinotanCTO at MITIGET Assurance and Technology Services
Post-Graduate
Post-Graduate
$ 10,100$10,450
Note : The above information is based on data provided by Lagos State University, Ojo and DRAUP Proprietary Database
4646
Research Focus:
University of IbadanStudent Population: 24,479Full Time Professors: 410https://www.ui.edu.ng/
NA
H-index
~92
Data Mining Knowledge Management Object Oriented Systems
Adenike O. Osofisan
ProfessorEmail:[email protected]:2348033013594
Research Goals• Design and Implement Data warehouse for University of Ibadan• Class Cohesion Metrics in Object Oriented Systems
Affiliations:
NA
Education
B.Sc. Computer Science/EconomicsM.Sc. Information & Computer SciencePh.D. Computer Science
Research Focus:
University of IbadanStudent Population: 24,479Full Time Professors: 410https://www.ui.edu.ng/
6
H-index
~9
Software Engineering Data Mining
S.O. Akinola
Senior LecturerEmail:[email protected]:2348056666117
Research Goals• Cognition and software inspection effectiveness
Affiliations:
NA
Education
B.Sc.M.Inf.Sc.Ph.D.
Research Focus:
University of IbadanStudent Population: 24,479Full Time Professors: 410https://www.ui.edu.ng/
NA
H-index
~10
AI
Y.O. FolajimiSenior LecturerEmail: [email protected]: 8056648530
Research Goals• Individualize and adaptive learning in Electronic Game-Based
Context
Affiliations:• Federal University of
Technology Akure• Ekiti State University
Education
B.Sc. Computer ScienceM.Sc. Computer SciencePh.D. Computer Science
Research Focus:
University of IbadanStudent Population: 24,479Full Time Professors: 410https://www.ui.edu.ng/
NA
H-index
NA
Big Data Analytics Data Mining Machine Learning
Makolo, Angela UcheLecturerEmail:[email protected]: 2348038629948
Research Goals• Intelligent Systems for building Cognitive and Visual Analytics
tools for teaching Bioinformatics• Metabolic Pathway Viewer software
Affiliations:
NA
Education
B.Sc. Computer Sc. & MathematicsM.Sc. Computer SciencePh.D. Computer Science with Bioinformatics
Publication Publication
Publication Publication
Citations Citations
Citations Citations
NA 115
NA NA
Key Professor Profiles (1/7)
Source : The above information is based on data provided by University of Ibadan
Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives
4747
Research Focus:
Covenant UniversityStudent Population: 7878Full Time Professors: 51https://covenantuniversity.edu.ng/
7
H-index
~23
AI Data mining Soft Computing
Research Goals• NA
Affiliations:
• University of Lagos• Bells University of Technology
Education
B.Sc. Computer ScienceM.Sc. Information & Computer SciencePh.D. Computer Science
Research Focus:
Covenant UniversityStudent Population: 7878Full Time Professors: 51https://covenantuniversity.edu.ng/
8
H-index
~29
Bioinformatics AI Algorithm Development
Research Goals• Bioinformatics• Clustering• Fuzzy logic and Algorithms
Affiliations:
NA
Education
Bachelor Degree in Computer Science with MathematicsM.Sc. in Computer SciencePh.D.
Research Focus:
Covenant UniversityStudent Population: 7878Full Time Professors: 51https://covenantuniversity.edu.ng/
1
H-index
~19
Cloud Computing Software Engineering Cryptography
Research Goals• Fuzzy Logic• e - Human Resource Management /e - Leadership• Software Development
Affiliations:• University of Delhi• University of Lagos
Education
B.Sc. Computer Science M.Sc. Computer SciencePh.D. Computer Science
Research Focus:
Covenant UniversityStudent Population: 7878Full Time Professors: 51https://covenantuniversity.edu.ng/
1
H-index
NA
NLP Data Science and Robotics Internet of Things
Research Goals• NA
Affiliations:
• University of Ibadan
Education
Ph.D. Computer Science
Olufunke O. Oladipupo
Associate ProfessorEmail:[email protected] Phone:2348033013594
Olanrewaju JeliliOyeladeAssociate ProfessorEmail:[email protected]: 08035755778
Isaac A.Odun-AyoSenior Lecturer Email: [email protected]: +234802882945
Olamma I. IheanetuLecturerEmail:[email protected]:
Publication Publication
Publication Publication
Citations Citations
Citations Citations
313 370
2 9
Key Professor Profiles (2/7)
Source : The above information is based on data provided by Covenant University
Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives
4848
Research Focus:
Covenant UniversityStudent Population: 7878Full Time Professors: 51https://covenantuniversity.edu.ng/
4
H-index
~10
AI NLP Machine Learning
Research Goals• Develop intelligent software systems with AI methods and
software engineering approaches
Affiliations:
NA
Education
B.Sc. Computer Science Masters - Computer SciencePh.D. Computer Science
Research Focus:
Covenant UniversityStudent Population: 7878Full Time Professors: 51https://covenantuniversity.edu.ng/
4
H-index
~2
AI Data Mining User Experience
Research Goals• NA
Affiliations:
• University of Zululand• Landmark University
Education
B.Sc. Computer Science M.SC. Computer SciencePh.D. Computer Science
Onyeka Emebo
LecturerEmail: emebo [email protected]: +2348036878407
Azubuike Ezenwoke
LecturerEmail: [email protected]: +234-8030626181
Research Focus:
University of NigeriaStudent Population: 47171Full Time Professors: 51http://www.unn.edu.ng/
5
H-index
~5
Distributed and HPC Big Data Analytics Machine Learning
Research Goals• Design and develop Intelligent Systems• Design clusters for Research and Education Networks, Big
Data Analytics using Machine Learning
Affiliations:
NA
Education
B.E. Computer ScienceM.Sc. Computer SciencePh.D. Electronic Engineering
Udanor Collins NSenior Lecturer Email: [email protected]: +234802882945
Research Focus:
University of NigeriaStudent Population: 47171Full Time Professors: 362http://www.unn.edu.ng/
NA
H-index
~12
AI Parallel Computing Grid Computing
Research Goals• Effect of interruption rate on speech intelligibility (Perceptual
Measurement of Speech Quality and Speech Intelligibility)
Affiliations:
NA
Education
B.E. Computer Science MS Computer Science and EngineeringPh.D. Computer Science
Ebem Deborah UzoamakaLecturerEmail: [email protected]: 8052810722
Publication Publication
Publication Publication
Citations Citations
Citations Citations
44 37
51 NA
Key Professor Profiles (3/7)
Source : The above information is based on data provided by Covenant University and University Of Nigeria
Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives
4949
Research Focus:
Ahmadu Bello UniversityStudent Population: 48953Full Time Professors: 579http://www.unn.edu.ng/
NA
H-index
NA
Cloud Computing Data Science Machine Learning
Research Goals• NA
Affiliations:
• Universiti Teknologi Malaysia
Education
B.Sc. Computer ScienceM.Sc. Computer Science
Research Focus:
Ahmadu Bello UniversityStudent Population: 48953Full Time Professors: 579http://www.unn.edu.ng/
NA
H-index
~2
Computer Networking Computer Security Cyber Security
Research Goals• Implement VOIP using Asterisk – Java
Affiliations:
• Universiti Brunei Darussalam
Education
B.Sc. MathematicsMaster of Technology in Computer science
Aliyu GarbaAssistant LecturerEmail:[email protected]: 2348068107088
Obiniyi AyodeleAfolayanProfessorEmail: [email protected]: 8034518843
Research Focus:
Ahmadu Bello UniversityStudent Population: 48953Full Time Professors: 579http://www.unn.edu.ng/
NA
H-index
NA
AI Object-oriented Programming
Research Goals• NA
Affiliations:
NA
Education
B.Sc. Computer Science M.Sc. Computer Science
Salahudeen RidwanAssistant LecturerEmail: [email protected]: 8065491787
Publication
Publication Publication
Citations
Citations Citations
NA
NA NA
Research Focus:
NA
H-index
NA
Software Development Cloud Computing Theoretical Computing
Research Goals• NA
Affiliations:
NA
Education
B.Sc. Computer Science M.Sc. Computer Science
Ezugwu ObianujuAssumptaLecturerEmail:[email protected]: 2348035689222
PublicationCitations
NAUniversity of NigeriaStudent Population: 47171Full Time Professors: 362http://www.unn.edu.ng/
Key Professor Profiles (4/7)
Source : The above information is based on data provided by University of Nigeria and Ahmadu Bello University
Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives
5050
Research Focus:
Ahmadu Bello UniversityStudent Population: 48953Full Time Professors: 579http://www.unn.edu.ng/
NA
H-index
NA
Machine Learning Formal Ontologies Soft computing
Research Goals• NA
Affiliations:
NA
Education
B.Sc. Computer ScienceM.Sc. Computer Science and EngineeringPh.D. Computer Science
Kana Armand FlorentinDonfackSenior LecturerEmail: [email protected]: 8052810722
Research Focus:
NA
H-index
~3
Machine Learning Data mining
Research Goals
Affiliations:
NA
Education
B.Sc. Computer ScienceM.Sc. Computer Science
Aminu OnimisiAbdulsalamiAssistant LecturerEmail: [email protected]: 2348060708640
Research Focus:
Federal University of Technology, Minna Student Population: 20620Full Time Professors: 84www.futminna.edu.ng
NA
H-index
NA
Cyber Security Post-Quantum Cryptology
Research Goals• DNA based Cryptography for Image Transmission Security
Affiliations:
• Federal University of Technology Akure
Education
B.Sc./ED –MathM.Tech.Ph.D
Victor Onomza Waziri
LecturerEmail: NAPhone: NA
Publication Publication
Publication
Citations Citations
Citations
NA NA
NA
Research Focus:
NA
H-index
NA
Mobile and Cloud Computing Web Application Engineering
Research Goals• NA
Affiliations:
NA
Education
B.Sc. Computer ScienceM.Sc. Computer Science
Mohammed TankoYahayaAssistant LecturerEmail: [email protected]: NA
PublicationCitations
NAAhmadu Bello UniversityStudent Population: 48953Full Time Professors: 579http://www.unn.edu.ng/
Key Professor Profiles (5/7)
Ahmadu Bello UniversityStudent Population: 48953Full Time Professors: 579http://www.unn.edu.ng/
Source : The above information is based on data provided by Ahmadu Bello University and Federal University of Technology, Minna
Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives
• NA
5151
Research Focus:
Federal University of Technology, Minna Student Population: 20620Full Time Professors: 84www.futminna.edu.ng
5
H-index
NA
Big Data Analytics Machine Learning Internet of Things (IoT)
Research Goals• NA
Affiliations:
• Central South University• University of Aizu
Education
Ph.D. Computer Science
Research Focus:
Federal University of Technology, Minna Student Population: 20620Full Time Professors: 84www.futminna.edu.ng
NA
H-index
~17
AI and Machine Learning Computational Intelligence Data Mining
Research Goals• NA
Affiliations:
NA
Education
B.Sc. Computer Science M.Sc. Computer Science
Research Focus:
Federal University of Technology, Minna Student Population: 20620Full Time Professors: 84www.futminna.edu.ng
NA
H-index
~52
AI and Machine Learning Human Computer Interaction Big Data Analytics
Research Goals• NA
Affiliations:
• Covenant University• Kaunas University of
Technology
Education
B.Tech. Mathematics/Computer ScienceMaster of Science in Computer ScienceDoctor of Philosophy in Computer Science
Muhammad Bashir AbdullahProfessorEmail: [email protected]: 234(0)8037660576
Abisoye OpeyemiAderiikeLecturerEmail: NAPhone: NA
J. K. AlhassanSenior LecturerEmail: [email protected]: 2348040000000
Research Focus:
Federal University of Technology, Minna Student Population: 20620Full Time Professors: 84www.futminna.edu.ng
12
H-index
~32
Cyber Security Cloud Computing Big Data
Research Goals• NA
Affiliations:
• Ahmadu Bello University• University of Malaya
Education
B.Tech. Mathematics/Computer ScienceM.Sc. Computer SciencePh.D. Computer Science
Shafi'I Muhammad AbdulhamidLecturerEmail: [email protected]: 2348040000000
Publication Publication
Publication Publication
Citations Citations
Citations Citations
107 NA
NA 534
Key Professor Profiles (6/7)
Source : The above information is based on data provided by Federal University Of Technology, Minna
Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives
5252
Research Focus:
Federal University of Technology, Minna Student Population: 20620Full Time Professors: 84www.futminna.edu.ng
5
H-index
~22
Machine Learning Cryptography Information Security
Research Goals• NA
Affiliations:
NA
Education
B.Tech. Mathematics and Computer scienceM.Sc. Computer Science
Research Focus:
Federal University of Technology, Minna Student Population: 20620Full Time Professors: 84www.futminna.edu.ng
NA
H-index
~2
Cloud computing Cryptography Network Security Data mining
Research Goals• NA
Affiliations:
NA
Education
B.Tech. Physics/Computer ScienceM.Tech. Cyber Security Science
O. S. Adebayo
LecturerEmail: [email protected]: 2348030000000
Noel, DogonyaroMosesLecturerEmail: [email protected]: 2348060000000
Research Focus:
Lagos State University, OjoStudent Population: 25796Full Time Professors: 79www.lasu.edu.ng
22
H-index
NA
Computer Vision AI Computer Graphics Machine Learning
Research Goals• NA
Affiliations:
• Yale University• University of New Mexico
Education
B.Sc.M.Sc.Ph.D. degree in Computer Science
Aribisala B. SProfessorEmail: NAPhone: NA
Research Focus:
Lagos State University, OjoStudent Population: 25796Full Time Professors: 79www.lasu.edu.ng
7
H-index
NA
Database System Expert System Neural Networking AI
Research Goals• NA
Affiliations:
• Mount Royal University• Bells University of
Technology
Education
B.Sc.M.Tech.Ph.D.
Akinnuwesi B. A
Senior LecturerEmail: NAPhone: NA
Publication Publication
Publication Publication
Citations Citations
Citations Citations
116 NA
2648 109
Key Professor Profiles (7/7)
Source : The above information is based on data provided by Federal University of Technology, Minna and Lagos State University
Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives
5353
Nigerian Training Institute Profile: Few training institutions in Nigeria offers courses in new age areas. They often partner with large technology companies and unicorn startups and also is a major source for the companies to hire trained digital talent
• Introduction to Data Science• Data Prophet Data Science Development Program• Google Making sense of data• Data Science• Data Mining • Machine Learning• Big Data Specialization
• Full Stack Developer• Python• REST• Angular JS• REACT• Data Analytics• AI• Business Intelligence
• NA • NA
• AI• Web Service Tutorial• Python 3 Tutorial• Jquery Tutorial• Sl4A Tutorial
• NA • NA
Courses Sponsors/Partnership Key Trainers
• Clustering• IoT applications for Machine Learning• Classification Models• Object Oriented Python/Performance Optimization• Introduction to Python• Data Pre-Processing
Corne NagelChief Data Scientist at Onefi
Rahmon OjukotolaFounder and Director of StartCredits
Olufemi OyenugaData Scientist ,Oracle.
Arinze AkutekweData Scientist at Fujitsu UK
Shaun RustApplication Architect at Korbicom
James GaylardChief Data Science Officer at 4G Capital
Charles CopleyHead of Data Science at Praekelt.org
Ricki DavimesData Scientist at JUMO.WORLD
Source : The above information is based on data provided by DSN, W3 Tutor, NIIT, Machine Intelligence Of Africa and curated by DRAUP
5454
KENYA – TALENT DEEP DIVE ANALYSIS
5555
KENYA - OVERVIEW
1
~19.6MnTotal Employment
Insights
2
3
4
~110KTotal Tech Talent
~250Total Startups
1Kenya’s 78.4Bn USD economy is growing at a rate of ~6%. Telecommunication contributes ~62% of the total GDP and is expected to grow at a rate of ~6-7% over the next three years driven by rapidly increasing mobile data, high investments in cloud and adoption of 4G technology
1Blockchain and AI initiative by the Kenyan Government aimed at creating a single digital identity, cybersecurity, overall public service delivery, land tilting, and for the election process. This further aims in leveraging subsequent technologies and in creating a large digital talent hub
1Digital services market in Kenya will grow at a rate of ~20-25% in the next three years. Investments in areas such as Cloud, Fintech and Security will support the burgeoning growth
The Government has also planned to create 20,000 IT and Digital jobs in areas such as AI, Big Data / Analytics, Security, etc. by 2030 in Konza technology city which is an emerging technology hotspot
Note: The represented data has been collected from KNBS and curated by Draup
5656
Kenya has a total workforce of ~19.6Mn, with a major chunk of talent employed in the Agriculture and Service Sector
Unemployment rate* ~11.5%
Median age ~20 Years
Sex ratio 50 Females/50 Males
GDP ~$85.9 Bn
GDP growth rate 4.9%
Median Household Income NA
Percentage of Workforce across different industries
Total Workforce : ~49.36 Mn Kenya’s ICT sector has estimated a growth rate of 31.7% in 2017 with
revenue of about $5.48 Bn, while Telecom sector contributes atmost 70% of the total revenue
Nairobi, capital of Kenya has transformed into technology epicenter with startups and innovations
Kenya has moved to 80th position globally in ease of doing business in 2018 out of 190 countries from 92nd position in 2017
Population: ~49.36 Mn
Top Spoken Languages:Kiswahili, English
Ethnicity: Black Africans(99%)
Kenya ranked largest bitcoin holding country worth $1,63 Bn among African countries in 2017
Note: The represented data has been collected from KNBS and curated by Draup
5757
Location Hotspot: Nairobi is the key hotspot in Kenya. Westlands in Nairobi is home for major startups, employers and universities. Technology hubs are sprouting up in Kisumu, Eldoret, Voi, Machakos and Nyeri to promote startups
Note : DRAUP’s Proprietary Talent Module was used to analyse hotspots by locations and Industry wise
Kenya
• Nairobi has ~25 Tech Hubs with ~15 in Westlands. iHub is a tech park hosting top tech companies such as Google, IBM, Facebook and Microsoft
• Tech hubs are also sprouting up in Kisumu, Eldoret, Voi, Machakos and Nyeri
Hotspots in Nairobi
Employer Hotspot Startups Hotspot
~30Total Tech Hubs in Kenya
~25Total Tech Hubs in Nairobi
• Westlands and Kahawa is the hotspot for startups in Nairobi
• Kenya ranked 3rd in Africa for having the most number of Startups in the region
• iHub based out of Nairobi has launched more than 170+ startups
~60Total Universities in Kenya
~25Total Universities in Nairobi
• Westlands is the university hotspot in Nairobi
• Westlands is the home to the top university “University of Nairobi”in Kenya
• In Kenya ~35% of public sector institutions use cloud services
University Hotspot
• Silicon Savannah in Nairobi, a $1 Bn tech hub is home to more than 200 Startups and for established companies like IBM, Intel and Microsoft. The government has planned to build “Konza Technological City” to accelerate the creation of Startups and support the innovation in Big Data, Data Science and Internet of Things
• Nairobi has a presence of ER&D and IT centres of BBC, IBM, Coca-Cola and The Standard Bank developing digital solutions in cognitive computing, Bigdata and IoT
• Nairobi ranked the most intelligent city in Africa and is a technology epicentre which serves as a regional headquarters for global tech giants such as Google, IBM, BBC and The Standard Bank
• Kisumu is the third largest city in Kenya creating ~10,000 jobs annually and hosting techhub such as Lake Hub
Nokia
HuaweiTechnologies
EricssonOracle
Microsoft
Telecom Kenya
Barclays
University of Nairobi
Kenyatta University
Strathmore University
Westlands
Cloud9XP
Once Sync Limited
Tozzaplus
KahawaNairobi
Key Insights
Nairobi
Kisumu
5858
Digital and IT Job families: ~56% of the overall tech talent in Kenya is spread across Software Development and digital verticals. While the talent spread in core digital clusters such as AI/ML, Cloud, Security, IoT and Analytics is ~28% of the overall tech talent
31,000
900
5,500
2,000 1,800
16,500
4,300
Total Talent across Digital and IT job families: ~110,000
Employed talent in Digital and IT Jobs across Job Families
Note: The represented data has been derived using DRAUP Proprietary Talent Database
Software Development
Data Science/ ML/AI
CloudBig Data/
Analytics/BIIoT Security UI/UX
Cyber Security Engineer
Network Security Engineer
Security Analyst
Network Support Engineer
UI/UX Designer
User Experience Designer
UI Developer
Graphic Designer
Cloud Engineer
Cloud Solution Architect
Cloud Operations
EngineerCloud
Infrastructure Engineer
Data Scientist
Business Intelligence
Analyst
ML Engineer
AI Engineer
Software Developer
Full Stack Developer
Mobile Application
Engineer
Web Engineer
Big Data System Engineer
Data Analyst
Big Data Developer
Big Data Analyst
IoT Design Engineer
IoT Engineer
IoT Specialist
IoT Developer
Others
48,000
Others include talent in System Integration, IT Consulting and
Support
System Admin
Desk Support Engineer
IT Consultant
Data Centre Ops Manager
5959
Kenya Technology Talent Distribution: Precisely estimating the talent suited for digital roles, involves several interviews and deeper understanding of technical stacks across resumes and profiles
31,000
Data Science/ ML/AI
Software Development
CloudBig Data/
Analytics/BIIoT
HardwareSecurity UI/UX
900 5,500 2,000 1,800 16,500 4,300
Top Companies
Other Major Players
Total Talent across 7 tech job families analysed:
Note: The represented data has been derived using DRAUP Proprietary Talent Database
6060
Top Skills: Large proportion of employed talent pool is skilled in Java, SQL, and Linux
Ansible 120 Puppet 60 Block chain NLP 40 DDoS 30
HTML 15,000 SQL 15,000 Java 12,500 PHP 9,400 C/C++ 9,000
Django 1,050 Git 1,000 Node.js 960 Ruby 650 Spark 420
Shell Scripting 400 Docker 400 Perl 220 Hadoop 200 Jenkins 200
CentOS 170 Kubernetes 160 Postgres 150 Redux 130 Deep Learning 120
Python 4,600 .NET 3,200 XML 2,600 jQuery 2,600 Ajax 1,500
Hig
hM
ediu
mLo
w
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
50
6161
Software Development AI/ML/Data Science Cloud
SQL Java RubyNeural Networks
Deep Learning
NLP PerlAnsibleXMLC/C++
Top Skills: SQL, Neural Networks and Ruby are the top skills identified across Software Development, AI/ML and Cloud job families respectively
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
10,400
9,000
6,000
2,400
SQL Java C/C++ XML
140
120
50
Neural Networks Deep Learning NLP
8580
40
Ruby Ansible Perl
6262
Top Skills: Data Visualization, Python, Incident Response and XHTML are the top skills identified across Big Data / Analytics, IoT, Security and UI/UX job families respectively
UI/UX
Incident Response
Malware Analysis
XHTML CSSInteraction
Design
Data Visualization
Hadoop Scala
Big Data/ Analytics
Python Arduino Node.js
IoT Security
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
200
140
50
DataVisualization
Hadoop Scala
150
5040
Python Arduino Node.js
150
50
IncidentResponse
MalwareAnalysis
400
200180
XHTML CSS InteractionDesign
6363
Cost Analysis: High demand for Cloud and Big Data talent is driving the high salary for these Job rolesM
edia
n S
ala
ry (
USD
) p
er a
nn
um
$22,000$25,000 $26,000
$18,000$21,000
$24,000
$34,000$37,000 $38,000
$24,000
$29,000
$37,000
$43,000
$47,000 $48,000
$31,000
$38,000
$46,000
Software Development Big Data Analytics Cloud UI/UX Security Artificial Intelligence
Entry (0-5) Middle(5-10) Senior (10+)
$35,000$33,000 $36,000 $37,000 $24,000 $29,000
$32,000Average Salary
Note: The represented data has been derived using DRAUP’s Talent Simulation Module
6464
Kenya: Digital Talent Distribution: ~60% of the Digital and IT talent is employed by the top 4 verticals. Software & Internet vertical has the highest Digital and IT talent employing ~43% of the overall talent. ~600 Digital and IT professionals are employed by the startups
43%
7% 6%4%
40%
Software and Internet Telecommunications BFSI Hospital & Health Care Others
Total Digital and IT Talent
~600
Total Digital and IT talent across Enterprises :
~ 109,400
Top Employers Top Employers
Enterprises1 Startups2
Note: Others include talent from industries like Power & Energy, Aviation etc.
Digital Divide Data
Note: The represented data has been derived using DRAUP Proprietary Talent Database
6565
Software/Internet Industry Deep Dive: Talent Maturity Analysis – ~53% of the employed digital talent in analysed Job families have 0-5 years of experience
57%
69%
32%
70%
58%
38%47%
32%17%
36%
20%
25%
34%
38%
11% 14%
32%
10%17%
28%
16%
Software Development AI/ML/Data Science Cloud Big Data/ Analytics IoT Security UI/UX
0-5 Years 5-10 Years 10+ Years
Employed Talent Distribution Across Job Roles and Years of Experience
~22,000 ~1,000 ~6,500 ~1,500 ~1,500 ~11,000 ~3,500
Enterprise/Startup Talent~47,000Employed Talent is
(analyzed job roles)
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
6666
Software/Internet Industry Deep Dive: Software developer Job family constitutes majority of the employed digital talent; Tech Giants have high focus on Software Development and Cloud Services
200 - 250
Focus Areas:• Oracle core-to-edge security to protect private and public cloud
environment• Cloud based adaptive intelligent application development with
Machine Learning technology
150 - 200
Focus Areas:• Cloud Computing and AWS Cloud Managed Services• AWS Migration Services for enterprise applications
50 - 75
Focus Areas: • Business Intelligence & Analytics• Cloud Application Development
100 - 150
Focus Areas:• MS Azure development• Facial Recognition technology in AI application• Internet of Things
Products/TechnologiesSoftware CloudBig Data/ Analytics
IoT Security UI/UXAI/ML/
Data Science
0%0%
0%
0% 0-25% 25%-50%
0%
0%
0% 5% 10%
Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type
Digital Divide Data
8% 4% 63% 4% 8% 5% 8%
38% 37% 25% 0%
33% 33% 8% 9% 17%
35% 10% 35% 5%
50-100%
75 - 100
Focus Areas:• Human and machine intelligence for audio and video
transcription36% 7% 36% 0% 14% 7%0%
6767
Telecommunications Industry Deep Dive: Talent Maturity Analysis - ~45% of the employed digital talent in analysed Job families have 0-5 years of experience
40%
75%
24%
67%
43%33%
28%
35%
25%
32%
22%
20%38%
33%
25%20%
44%
11%
37%
22%
39%
Software Development AI/ML/Data Science Cloud Big Data/Analytics IoT Security UI/UX
0-5 Years 5-10 Years 10+ Years
Employed Talent Distribution Across Job Roles and Years of Experience
~2,350 ~50 ~800 ~100 ~250 ~500 ~200
Enterprise/Startup Talent~4,250Employed Talent is
(analyzed job roles)
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
6868
Telecommunications Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top employers have high focus on Cloud, Security, Bigdata/Analytics and IOT
150-200
Focus Areas:• 4G/LTE Access Network – Mobile Services• Fibre-to-the-Building(FTTB) • Cloud and Hosting Services
50-100
Focus Areas:• Cloud Infrastructure Services• 5G Services
1500 -1700
Focus Areas:• Cloud backup for Data Center• Zuri AI Chatbot for Safaricom mobile data users• Narrowband IoT (NB-IoT) technology
100-150
Focus Areas:• Cloud native network application for 5G and VOLTE service• IoT for M2M Services
100-150
Focus Areas:• Establishment of AI 5G lab using AI• Data Science and Analytics• Airframe Cloud infrastructure – Wi-Fi Services
Products/Technologies
62%
Software Development
CloudBig Data/ Analytics
IOT Security UI/UXAI/ML/Data
Science
17%
21%
0% 15%
10%
7%
5%3%
6%
10%
0%
35% 17% 8%10%
6%
1%
0%
0% 25%
50% 0%
15% 7%
5%
0%
15% 6% 8%
20% 10%
0%50%
56%
0% 0-25% 25%-50%
Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type
50-100%
6969
BFSI Industry Deep Dive: Talent Maturity Analysis – ~42% of the employed digital talent in analysed Job families have 0-5 years of experience
41%
67%
23%
57%
40%
24%
42%
38%
33%
37%
29%
30%
38%
33%
21%
40%
14%
30%38%
25%
Software Development AI/ML/Data Science Cloud Big Data/ Analytics IoT Security UI/UX
0-5 Years 5-10 Years 10+ Years
Employed Talent Distribution Across Job Roles and Years of Experience
~1,000 ~100 ~400 ~400 ~100 ~400 ~300
Enterprise/Startup Talent~2,700Employed Talent is
(analyzed job roles)
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
7070
BFSI Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on Security, UI/UX and Cloud
300-350
Focus Areas: • AI for evaluating loan applications• Big Data for customer analytics• CyberSecurity initiatives to reduce vulnerabilities and breaches
50-100
Focus Areas: • Cyber Security• Analytics for Financial transactions and Payment records
300 -350
Focus Areas:• Chatbot application for customer engagement• Big Data and Analytics for predicting customer behavior
100-150
Focus Areas: • Big Data and Analytics for financial data handling• Application Development for m-Payment
100-150
Focus Areas:• Develop Eazzy Banking digital platform for online banking• Big Data and Analytics for customer targeting
Products/Technologies
62%
Software Development
CloudBig Data/ Analytics
IOT Security UI/UXAI/ML/Data
Science
7%
13%
4% 10%
0%
0%
12%0%
7%
0%
0%
50% 0% 50%0%
4%
0%
4%
0% 0%
75% 0%
36% 13%
0%
12%
12% 3% 12%
0% 13%
0%38%
64%
0% 0-25% 25-50%
Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type
50-100%
7171
HealthCare Industry Deep Dive: Talent Maturity Analysis – Over 50% of the employed digital talent in analysed Job families have 0-5 years of experience
50% 50%40% 43% 44%
50%
75%
33%
50%
20%
29% 25%
25%
25%18%
40%29% 31%
25%
Software Development AI/ML/Data Science Cloud Big Data/ Analytics IoT Security UI/UX
0-5 Years 5-10 Years 10+ Years
Employed Talent Distribution Across Job Roles and Years of Experience
~500 ~25 ~50 ~100 ~200 ~100 ~50
Enterprise/Startup Talent~1,025Employed Talent is
(analyzed job roles)
Note: The represented data has been analysed using DRAUP Proprietary Talent Database
7272
Focus Areas:• Cloud adoption in medical records
100 - 150
Focus Areas:• mHealth application: Digital patient records
30 -50
Focus Areas:• Image guided & robot assisted surgeries
40- 60
Focus Areas:• Smart sensors for remote patient and device monitoring
50-100
Products/TechnologiesSoftware
DevelopmentCloud
Big Data/ Analytics
IoT Security UI/UXAI/ML/
Data Science
0%
0%
50%
0%0%
0%25%
0%
0% 40%
0%
0%
33%
0%50%0%
0%
0%
0% 0-25% 25%-50%
25%
HealthCare Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on IoT and Security services
Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type
34% 33% 0%
20% 20% 20% 0%0%
50%
Ministry Of Healthcare, Kenya
7373
~10Total number of
Accelerators
• Financial Technology Startup Weza Tele was acquired by financial services giant, AFB for $1.7 Mn
• UK-based Maximeyes Group acquired Kenyan data collection Startup Bamba Group
Kenya Startup Overview: Kenya is home to Fintech startups with a high focus on development Blockchain and Crypto-currency. It is also home to ~250 Startups
Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type
• Kenya is the biggest tech hub in Africa and is has startups in payments, logistics, block chain, e-commerce, insure-tech and tourism employing a significant technology talent
• ~40% of the blockchain companies received seed funding from local and international investors in the last year
• Kenya received the highest investments for Startup in first half of 2018. 5 of the top 10 funded companies during this period is headquarted in Kenya
• Cellulant, a Fintech startup that received the highest investment of $47.5 Mn in 2018 in Kenya
~250Total number of Startups in
Nigeria
Key Startup Acquisitions
~12Total Hubs
Company Headcount WorkloadFunding
Africa’s Talking integrates reliable two-way SMS, voice, and USSD functionality across network service providers
and offer customized mobile messaging solutions
TALA is a financial technology company that develops a mobile lending application offering personalized and
real-time credit scores
Startup Overview
Cellulant is a mobile commerce platform that offers payment processing, reconciliation and digital banking
solutions for retailers and businesses
Top Funded Startups
~147 MnTotal funding received in
2017
$109.4M~100
Cellulant
$54.5M~200
$8.5M
Africa’s Talking
~100
Tala
Major Startup Verticals
E-CommerceHealthcareEnergy/Power
AgritechFinTech LogisticsEdtech Travel
Bubble size indicates the intensity of Startups
7474
UNIVERSITYCOMPUTER GRADUATES
SOFTWARE DEVELOPMENT
AI/ML/DATA SCIENCE
CLOUD CYBERSECURITY IOTBIG
DATA/ANALYTICSUI/UX
Kenyatta University ~450-550 MEDIUM MEDIUM LOW LOW
Jomo Kenyatta University Of Agriculture
&Technology
~900-1100 HIGH LOW LOW
University of Nairobi ~900-1100 MEDIUM LOW LOW LOW
Strathmore University
~350-450 LOW LOW
United States International
University Africa
~350-450 MEDIUM LOW LOW LOW
Curriculum Maturity
Number of Courses
HIGH MEDIUM LOW
HIGH MEDIUM LOW
TOP HIRING COMPANIES COST PER HIRING
LOWHIGH$ 12,000 $ 9,000
$10,500
~4753%
47%
STEM (Science,Technology, Engineering
and Math)
Linguistics andManagement
Course Adoption Rate Key Takeaways
Kenya Industrial Property Institute partnered with Kenyatta University to establish the Technology and Innovation Support Centre to enhance access to services such as patent searches, patent drafting.
Gross enrolment ratio in tertiary education for Kenya is 11.6 %.
The most marketable courses in Kenya fall in two fields Science, Technology, Engineering and Mathematics (STEM) and Business.
University Overview
Universities In Kenya
~181,300Total Graduates
~166,800UG
~14,500PG
~93,300
~87,300Male Graduates
Female Graduates
Kenya
Chuka
Nairobi
Eldoret
Kisumu Meru
Kericho
Machakos
Mombasa
Lodwar
Kilifi
Nakuru
ThikaKaratina
Bondo
Garissa
Taita Taveta
Intensity of University
UNIVERSITY DISTRIBUTION
University Ecosystem: Kenya has ~47 universities with ~0.18 Mn graduates. More than 50% of the graduates has adopted STEM related courses
Note : DRAUP’s Talent Module analysed universities in Kenya and nearby locations to identify top universities and key courses
7575
University Deep Dive: Kenyatta University
Academic Programmes : ~136
Post-GraduateUnder-Graduate
Graduates: ~24,000
Enrolments: ~80,000
Under-Graduate
Kenyatta Universityhttp://www.ku.ac.ke/
~22,100 ~1,900
~6,400~73,600
Computer Related Programmes: ~4
Post-Graduate
Full Time Professors : ~1062
Computer Science Professors: ~20
KEY TOPICS
KEY ALUMNI COURSES OFFERED
• B.Sc. Computer Science• MSc. Computer Science• Diploma in Information Technology
AWARDS
• Kenyatta University won the Daily Trust African of the Year Award for anti-FGM app
• Natural Language Processing • Neural Networks• Robotics• Data Warehouse and Data Mining• Computer Systems Security• Human Computer Interface• AI
COST PER HIRING
LOWHIGH
TOP HIRING COMPANIES
KEY STARTUPS BORN
Nick SabwaC.T.O at COHESU
Angelina Ndung'uICT & Business Strategy Lead at Eighty Leverage Limited
Kipkirui RonaldSoftware Security & Support Lead at Cyberschool Technology Solution
Ananda JerminHead Of Technology at AdvantaAfrica Ltd
Edgar MwangiLead Consultant (Cyber Security) at Revere Technologies Limited
David KimunguiTechnical Lead - Infrastructure Manager at Reelforge Media Intelligence
$ 13,600 $ 12,600$13,100
Note : The above information is based on data provided by Kenyatta University and DRAUP Proprietary Database
7676
Academic Programmes : ~127
Post-GraduateUnder-Graduate
Graduates: ~12,600
Enrolments: ~42,000
Under-Graduate
JKUAThttp://www.jkuat.ac.ke/
~11,600 ~1,000
~3,400~38,600
Computer Related Programmes: ~8
Post-Graduate
Full Time Professors : ~600
Computer Science Professors: ~36
KEY TOPICS
KEY ALUMNI COURSES OFFERED
• B.Sc. Computer Science• M.Sc. Computer Science• Ph.D. Computer Science
AWARDS
• Systems Programming• AI• Neural Networks• Structural Programming• Cryptography And Network
Security• Cryptography and Computer
Security
COST PER HIRING
LOWHIGH
TOP HIRING COMPANIES
KEY STARTUPS BORN
Gachoka MSenior Network and Security Engineer at KonvergenzNetwork Solutions
Charles MutindaHead of Information Technology and Security at Apps On Point Limited
John MathengeGroup Head of IT at Java House Africa
Daniel GathigaiCo-Founder and CTO at Tambua Health
Sila StevenChief Technical Officer at Microsil Systems
Eddah MHead of ICT at The Standard Group LTD
$ 12,600 $ 11,000$11,800
University Deep Dive: JKUAT
AngeLin
Note : The above information is based on data provided by JKUAT and DRAUP Proprietary Database
• Bayer Innovation Award
7777
Academic Programmes : ~72
Post-GraduateUnder-Graduate
Graduates: ~ 23,700
Enrolments: ~79,000
Under-Graduate
University of Nairobihttp://www.uonbi.ac.ke/
~21,800 ~1,900
~6,300~72,700
Computer Related Programmes: ~7
Post-Graduate
Full Time Professors : ~1500
Computer Science Professors: ~26
KEY TOPICS
KEY ALUMNI COURSES OFFERED
• B.Sc. Computer Science• M.Sc. Applied Science• Ph.D. Computer Science
AWARDS
NA
• Web Programming And Applications
• AI Programming• Machine Learning• Computer Network Security
COST PER HIRING
LOWHIGH
TOP HIRING COMPANIES
KEY STARTUPS BORN
Paul MutindaLead Consultant- Cyber Security at Cyber Roam Africa Technologies LTD
Kennedy AsedaLead Network Operations & Security Engineer at KENET
Douglas Kuritto KisioTechnical Lead at Vulkan Solution Services ltd
Bernard RonoHead of ICT at Kenya Tea Packers Limited
Sylvester MutuliChief Technical Officer at Network Four Limited
Isaiah KibetSenior Technical Analyst at Network International
$ 13,600 $ 12,600$13,100
University Deep Dive: University Of Nairobi
Note : The above information is based on data provided by University Of Nairobi and DRAUP Proprietary Database
7878
ShambaIntel Africa Limited
Academic Programmes : ~35
Post-GraduateUnder-Graduate
Graduates: ~ 5,430
Enrolments: ~18,100
Under-Graduate
Strathmore University www.strathmore.edu
~5,000 ~430
~1,400~16,700
Computer Related Programmes: ~4
Post-Graduate
Full Time Professors : ~181
Computer Science Professors: ~18
KEY TOPICS
KEY ALUMNI COURSES OFFERED
• B.Sc. Computer Science• M.Sc. Information Systems (MSc CIS)• M.Sc. IT
AWARDS
• Awarded Financial Reporting (FiRe) award for promoting integrated reports• Academy of Business in Society (ABIS) 2017 Global Sustainability Award for the project
“Sustainability Strategy Agenda”
• Computer Vision• Intelligent Systems• Deep Technical Programming
COST PER HIRING
LOWHIGH
TOP HIRING COMPANIES
KEY STARTUPS BORN
John MuthurimiTeam Lead - Mobile Application Development at Software Group
Judy NgureSenior QA Engineer at WPP-Scangroup
Hartnell NdungiChief Data Officer at Absa Group
Philip MudenyoLead Software Developer at Legitimate Technology
Kagonya AworiHuman Experience and Design Lead at Safaricom Alpha
Cynthia KInformation Security Leader -Sub Saharan Africa at GE
WeShape Digit
$ 10,800 $ 11,600$11,200
University Deep Dive: Strathmore University
Note : The above information is based on data provided by Strathmore University and DRAUP Proprietary Database
7979
Academic Programmes : ~23
Post-GraduateUnder-Graduate
Graduates: ~2,550
Enrolments: ~8,500
Under-Graduate
U.S.I.Uwww.usiu.ac.ke
~2,350 ~200
~700~7,800
Computer Related Programmes: ~3
Post-Graduate
Full Time Professors : ~140
Computer Science Professors: ~19
KEY TOPICS
KEY ALUMNI COURSES OFFERED
• B.Sc. Applied Computer Technology• M.Sc. IST
AWARDS
NA
• Human Computer Interaction• Information System Security• Computer Forensics and
Investigation • Object Oriented Design and
Programming• Mobile Programming• Cryptography and Network
SecurityCOST PER HIRING
LOWHIGH
TOP HIRING COMPANIES
KEY STARTUPS BORN
Joan AmbutuHead of IT - East Africa at Unilever
Emmanuel ChebukatiHead of Infrastructure and Security at Hepta Analytics
Ruphin ByamunguChief Information Officer at Kivuhub
Tom Mboya OpiyoHead of ICT/CIO at Unga Group Ltd
Joackim ApondoSn Integrationr. ICT Officer-Systems & Data Systems Lead at KALRO
Naom KeruboData Analytics Lead at Crescentech Ltd
hand2cloud
$ 8,000 $ 10,000$9,000
University Deep Dive: U.S.I.U
Note : The above information is based on data provided by USIU and DRAUP Proprietary Database
8080
Research Focus:
Strathmore UniversityStudent Population: 15100Full Time Professors: 180www.strathmore.edu
NA
Citations
NA
H-index Publication
NA
Data Mining Pattern Mining Trend Prediction
Research Goals• Intelligent Systems and Machine Learning, Fuzzy Logic and their
application in Affective Computing
Affiliations:
• University of Paris
Education
B.Sc. Computer ScienceM.Sc. Information Technology ManagementPh.D. Computer Science
Research Focus:
Strathmore UniversityStudent Population: 15100Full Time Professors: 180www.strathmore.edu
NA
Citations
NA
H-index Publication
NA
Databases and Business Intelligence
Data Science Image processing
Research Goals• NA
Affiliations:
• Katholieke Universiteit Leuven
• University of Tubingen
Education
B.Sc. Business Information TechnologyM.Sc. Information TechnologyPh.D.
Joseph Orero
LecturerEmail: NAPhone: 0703-034000
Bernard Shibwabo
Senior LecturerEmail: NAPhone: 0703-034000
Research Focus:
Strathmore UniversityStudent Population: 15100Full Time Professors: 180www.strathmore.edu
NA
Citations
NA
H-index Publication
NA
Database Systems Big Data and Analytics Health Informatics
Research Goals• Develop Software applications for various divisions, departments
and units within the Ministry of Health
Affiliations:
NA
Education
B.Sc. Applied Math and StatisticsM.Sc. Information Systems
Nicodemus Maingi
LecturerEmail: NAPhone: 0703-034000
Research Focus:
Strathmore UniversityStudent Population: 15100Full Time Professors: 180www.strathmore.edu
NA
Citations
NA
H-index Publication
NA
Mobile Application Programming Networking
Research Goals• NA
Affiliations:
• University of Paris
Education
B.Sc. Computer ScienceM.Sc. Mobile Telecommunications and Innovation
Daniel Machanje
LecturerEmail: NAPhone: 0703-034000
Key Professor Profiles (1/6)
Source : The above information is based on data provided by Strathmore University
Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives
8181
Research Focus:
NA
Citations
NA
H-index Publication
NA
Databases/ Data Mining Management of Information
Technology Big Data
Research Goals• NA
Affiliations:
NA
Education
M.Sc. Information Technology
Research Focus:
Strathmore UniversityStudent Population: 15100Full Time Professors: 180www.strathmore.edu
NA
Citations
NA
H-index Publication
NA
Cloud Computing Big Data Computing Mobile Computing Internet Of Things
Research Goals• NA
Affiliations:
• Katholieke Universiteit Leuven
• University of Tubingen
Education
M.Sc. Information Technology
Conrad Ojiambo
Assistant LecturerEmail: NAPhone: 0703-034000
Steve Kayugira
LecturerEmail: NAPhone: 0703-034000
Research Focus:
University of NairobiStudent Population: 79000Full Time Professors: 2,692 www.uonbi.ac.ke
479
Citations
12
H-index Publication
NA
Machine learning Data Mining AI
Research Goals• NA.
Affiliations:
• University of Antwerp• University of the Western
Cape
Education
B.Sc. (Hons) PhysicsM.Sc. Computer Science & ApplicationsPh.D. Computer Science
Wagacha Peter WaiganjoProfessorEmail: [email protected]: 4447870
Research Focus:
University of NairobiStudent Population: 79000Full Time Professors: 2,692 www.uonbi.ac.ke
NA
Citations
NA
H-index Publication
NA
Distributed Computing Architectures and Technologies Computer Network Security Cyber-Physical Systems
Research Goals• NA
Affiliations:
• Technical University of Kenya
Education
B.Sc. Mathematics M.Sc. Electrical Engineering Ph.D. Computer Science
William Okelo-odongoProfessorEmail: [email protected]: 254-733-805246
Key Professor Profiles (2/6)
Strathmore UniversityStudent Population: 15100Full Time Professors: 180www.strathmore.edu
Source : The above information is based on data provided by Strathmore University and University of Nairobi
Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives
8282
Research Focus:
University of NairobiStudent Population: 79000Full Time Professors: 2,692 www.uonbi.ac.ke
41
Citations
4
H-index Publication
~15
AI Natural Language processing
Research Goals• Design and develop models and associated algorithms
Affiliations:
NA
Education
B.Tech.(Honors) EngineeringM.Phil. EngineeringPh.D. Computer Science Program
Research Focus:
University of NairobiStudent Population: 79000Full Time Professors: 2,692 www.uonbi.ac.ke
NA
Citations
NA
H-index Publication
~6
Wireless Communication Systems; Mobile & Ubiquitous Computing
Machine Learning
Research Goals• NA
Affiliations:
NA
Education
B.Sc. Computer ScienceM.E. Electrical Engineering and Computer Science Ph.D. Computational Science and Engineering
Eng Lawrence MuchemiLecturerEmail: [email protected]: 254 722 234738
Abade Elisha Odira
LecturerEmail: [email protected]: NA
Research Focus:
University of NairobiStudent Population: 79000Full Time Professors: 2,692 www.uonbi.ac.ke
33
Citations
3
H-index Publication
~78
Cloud Computing AI Data Structures and Algorithms Distributed Systems
Research Goals• Develop applications of multi-agent systems using cloud
computing and AI for health and education
Affiliations:
NA
Education
Bachelor of Education (Science)M.Phil.(Computer Science)Ph.D. Computer Science
Opiyo Elisha T Omulo
Senior LecturerEmail: [email protected]: 722601224
Research Focus:
29
Citations
3
H-index Publication
~6
AI Machine Learning Web Programming
Research Goals• NA
Affiliations:
NA
Education
B.Sc. Computer ScienceM.Sc. Applied Computer SciencePh.D. Computer Science
Miriti Evans A K
LecturerEmail: [email protected]: 0721-582774
Key Professor Profiles (3/6)
University of NairobiStudent Population: 79000Full Time Professors: 2,692 www.uonbi.ac.ke
Source : The above information is based on data provided by University of Nairobi
Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives
8383
Research Focus:
2
Citations
1
H-index Publication
~4
User Experience Design Human Computer Interaction Systems Analysis and Design
Research Goals• NA
Affiliations:
NA
Education
M.Sc. Computation graduate Ph.D. Information Systems
Research Focus:
University of NairobiStudent Population: 79000Full Time Professors: 2,692 www.uonbi.ac.ke
274
Citations
7
H-index Publication
~2
Bioinformatics Machine Learning
Research Goals• NA
Affiliations:
NA
Education
B.Sc. Computer ScienceM.Sc. Intelligent Systems
Ruhiu Samuel N
LecturerEmail: [email protected]: 254-20-4444919
Walia Rasna Rani
LecturerEmail: [email protected]: 254-20-4444919
Research Focus:
Kenyatta UniversityStudent Population: 20700Full Time Professors: 207 www.ku.ac.ke
NA
Citations
NA
H-index Publication
NA
Micro-Processing Systems Distributed Systems AI Robotics
Research Goals• NA
Affiliations:
NA
Education
B.Sc. Information Science and Computer Engineering M.Sc. Information Science and Computer Engineering
Dancan Kibui
Assistant LecturerEmail: [email protected]: 43844-00100
Research Focus:
Kenyatta UniversityStudent Population: 20700Full Time Professors: 207 www.ku.ac.ke
NA
Citations
NA
H-index Publication
NA
Big Data Analytics Business Intelligence Systems Informatics Data Mining
Research Goals• NA
Affiliations:
NA
Education
B.Ed. ScienceM.Sc. Information Systems Engineering
Michael MuiaMunyaoAssistant LecturerEmail: [email protected]: 51638, 00200
Key Professor Profiles (4/6)
University of NairobiStudent Population: 79000Full Time Professors: 2,692 www.uonbi.ac.ke
Source : The above information is based on data provided by University of Nairobi and Kenyatta University
Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives
8484
Research Focus:
Kenyatta UniversityStudent Population: 20700Full Time Professors: 207 www.ku.ac.ke
NA
Citations
NA
H-index Publication
NA
Machine learning Intelligent systems Data mining
Research Goals• NA
Affiliations:
NA
Education
BSc. Computer ScienceMSc. Management Information Systems
Research Focus:
Kenyatta UniversityStudent Population: 20700Full Time Professors: 207 www.ku.ac.ke
NA
Citations
NA
H-index Publication
NA
Big Data Analytics Distributed Systems Programming and Application
Development
Research Goals• NA
Affiliations:
NA
Education
B.Sc. Information Technology M.Sc. Computer Science
Emma Cheserem
LecturerEmail: NAPhone: 43844 – 00100
Christopher Kiama
Assistant LecturerEmail:[email protected]: 43844 00100
Research Focus:
Kenyatta UniversityStudent Population: 20700Full Time Professors: 207 www.ku.ac.ke
NA
Citations
NA
H-index Publication
NA
Big Data Analytics Intelligent Agents & Distributed
Systems E-Monitoring& Evaluation
Research Goals• NA
Affiliations:
NA
Education
B.Sc. Information Technology M.Sc. Computer Science
Bernard Ondara
Assistant LecturerEmail: [email protected]: 43844 00100
Research Focus:
Kenyatta University Of Agriculture & Technology (JKUAT)Student Population: 42900Full Time Professors: 105www.up.ac.za
159
Citations
6
H-index Publication
NA
Multimedia Data Retrieval Internet of Things Evolutionary Computation for
Optimization
Research Goals• NA
Affiliations:
NA
Education
NA
Kipruto, W. Cheruiyot
Associate proffessorEmail: NAPhone: NA
Key Professor Profiles (5/6)
Source : The above information is based on data provided by Kenyatta University
Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives
8585
Research Focus:
U.S.I.U(United States International University Africa)Student Population: 8425Full Time Professors: 140www.ku.ac.ke
NA
Citations
NA
H-index Publication
NA
Software Engineering Cloud Computing
Research Goals• NA
Affiliations:
NA
Education
B.Ed. Mathematics and Physics. M.Sc. Managing Information Systems
Research Focus:
U.S.I.U(United States International University Africa)Student Population: 8425Full Time Professors: 140www.ku.ac.ke
2
Citations
1
H-index Publication
NA
Cyber-Security Cyber Crime Information Security Forensics
Research Goals• Cyber-Security Researcher at the Centre for Informatics Research
and Innovation (CIRI)
Affiliations:
NA
Education
B.Sc. Computer Science M.Sc. Network Systems
Leah Mutanu Mwaura
LecturerEmail: NAPhone: NA
Paula Musuva-Kigen
LecturerEmail: NAPhone: NA
Key Professor Profiles (6/6)
Source : The above information is based on data provided by U.S.I.U
Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives
8686
• Network services and Monitoring• Introduction to Network Operations: UNIX/LINUX &
DNS • Python Prep• Algorithms and Modeling• Introduction to Data Science using Python
• NA
• Android Application Programming• Web Application Programming• Data Mining• Ethical Hacking And Cyber Security• Robotics And AI• Business Management Software• Api Engineering
• NA
• R Basics (Sprint)• Cleaning Data in R (Sprint)• Exploratory Data Analysis(Sprint)• Supervised Learning (Deep dive)
• NA
• Data Science & Analytics• Web, Mobile & Software Development(Ajax, Html 5,
Java, XHTML, Android, Software Testing, Word Press)• IT & Networking• Design & Creative
• NA • NA
Mercy NjueFounder at BotLabKenya
Jane NteereAdministrator, Africa Nazarene University
Waiganjo WagachaProfessor, University of Nairobi
Kendi MuchungiCo-founder Nikola Energy
Kamande WambuiData Science Lead
Courses Sponsors/Partnership Key Trainers
Kenyan Training Institute Profile: Few training institutions in Kenya offers courses and certifications such as Python, Data Mining, Robotics, etc. developing digital talent in areas such as Data Science & Analytics, AI and Cybersecurity
Source : The above information is based on data provided by Botlab, TechCamp, Moringa, Ajiira and curated by DRAUP
Source : DRAUP
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