LONDON’S GLOBAL UNIVERSITY

www.ucl.ac.uk/graduate/compsci

WEB SCIENCE AND BIG DATAANALYTICS MSc /2018/19 ENTRY

Web Science and Big Data Analytics MSc /

The MSc covers web-related technologies and bigdata analytics. It is intended for students with ageneral science and engineering background andis an ideal preparation for roles with some of thebest internet-related industries and areas requiringbig data analytical skills.

 Degree summary 

Students will gain a detailed knowledge and understanding ofweb-related technologies and big data analytics, ranging frominformation search and retrieval, natural language processing, datamining and knowledge acquisition, large-scale distributed data analyticsand cloud computing to e-commerce and their business economicmodels and the latest concepts of social networks.

// UCL Computer Science is recognised as a world leader in teachingand research. UCL received the highest percentage (96%) forquality of research in Computer Science and Informatics in the UK'smost recent Research Excellence Framework (REF2014).

// Our Master's programmes have some of the highest employmentrates and starting salaries, with graduates entering a wide variety ofindustries, from entertainment to finance.

// We take an experimental approach to our subject, enjoy thechallenge and opportunity of entrepreneurial partnerships and placea high value on our extensive range of industrial collaborations.

The programme is delivered through a combination of lectures, tutorialsand seminars. Lectures are often supported by laboratory work with helpfrom demonstrators. Student performance is assessed by unseen writtenexaminations, coursework and the dissertation.

 Degree structure 

Mode: Full-time: 1 year

Location: London, Bloomsbury

MSc students undertake modules to the value of 180 credits. Theprogramme consists of three core modules (45 credits), five optionalmodules (75 credits), and the research dissertation (60 credits).

CORE MODULES

// Complex Networks and Web (15 credits)

// Information Retrieval and Data Mining (15 credits)

// Web Economics (15 credits)

OPTIONAL MODULES

// Students must choose a minimum of 45 and a maximum of 75 credits of optionalmodules. Up to two electives (30 credits) may also be chosen instead of two of theoptional modules.

// Affective Computing and Human-Robot Interaction (15 credits)

// Applied Machine Learning (15 credits)

// Birkbeck College: Cloud Computing (15 credits)

// Computer Graphics (15 credits)

// Entrepreneurship: Theory and Practice (15 credits)

// Graphical Models (15 credits)

// Interaction Design (15 credits)

// Machine Vision (15 credits)

// Probabilistic and Unsupervised Learning (15 credits)

// Statistical Natural Language Processing (15 credits)

// Supervised Learning (15 credits)

// Please note: the availability and delivery of optional modules may vary, depending onyour selection.

// A list of acceptable elective modules is available on the Departmental page.

DISSERTATION/REPORT

// All students undertake an independent research project which culminates in asubstantial dissertation.

* Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015graduating cohorts six months after graduation.

 Your career 

Graduates from UCL are keenly sought after by the world's leadingorganisations, and many progress in their careers to secure senior andinfluential positions. Graduates of our Web Science and Big DataAnalytics programmes are expected to develop careers in scientificresearch, the internet-based industry and other professional areas thatrequire big data analytics skills.

Recent career destinations* include:

// CEO (Chief Executive Officer), Hoxton Analytics

// Software Engineer, China Mobile

// Computer Science Lecturer, Singapore Polytechnic

// Software Developer, Barclays

// Software Engineer, UCL

Employability

The MSc has a unique industry connection as almost all our lecturershave industry experience. Through long-term collaborations with bigplayers in the field such as Google, Microsoft and BT, research is drivenby the fundamental technical challenges faced by the industry.Throughout the degree, our students have the chance to interact withour industry collaborators and previous students, and have placementopportunities to address the specific technical problems faced by theindustry.

 Entry requirements 

A minimum of an upper second-class UK Bachelor's degree in a highlyquantitative subject, or an overseas qualification of an equivalentstandard. Students should also have some experience with aprogramming language such as Java or python.

English language proficiency level

If your education has not been conducted in the English language, youwill be expected to demonstrate evidence of an adequate level ofEnglish proficiency.

The level of English language proficiency for this programme is: Good.

Information about the evidence required, acceptable qualifications andtest providers is provided at:www.ucl.ac.uk/graduate/english-requirements

 Your application 

Students are advised to apply as early as possible due to competitionfor places. Those applying for scholarship funding (particularly overseasapplicants) should take note of application deadlines.

When we assess your application we would like to learn:

// why you want to study Web Science and Big Data Analytics atgraduate level

// why you want to study Web Science and Big Data Analytics at UCL

// what particularly attracts you to this programme

// how your academic and professional background meets thedemands of this programme

// what programming experience you have

// where you would like to go professionally with your degree

Together with essential academic requirements, the personal statementis your opportunity to illustrate whether your reasons for applying to thisprogramme match what the programme will deliver.

Application fee: There is an application processing fee for thisprogramme of £75 for online applications and £100 for paperapplications. More details about the application fee can be found atwww.ucl.ac.uk/prospective-students/graduate/taught/application.

FEES AND FUNDING 2018/19 ENTRY

// UK: £12,380 (FT)

// EU: £12,380 (FT)

// Overseas: £25,350 (FT)

The tuition fees shown are for the year indicated above. Fees forsubsequent years may increase or otherwise vary. Furtherinformation on fee status, fee increases and the fee schedule can beviewed on the UCL Current Students website.

All full time students are required to pay a fee deposit of £2,000 forthis programme. All part-time students are required to pay a feedeposit of £1,000.

Four MSc Scholarships, worth £4000 each, are made available by theDepartment of Computer Science to UK/EU offer holders with arecord of excellent academic achievement. The closing date is 30June 2018. For more information, please see the department pages.

Full details of funding opportunities can be found on the UCLScholarships website: www.ucl.ac.uk/scholarships

APPLICATION DEADLINE

All applicants: 15 June 2018

Details on how to apply are available on the website at:www.ucl.ac.uk/graduate/apply

CONTACT

Ms Samantha Bottomley, Teaching & Learning Assistant

Email: advancedmsc-admissions@cs.ucl.ac.uk

Telephone: +44 (0)20 7679 0328

EU referendum

For up-to-date information relating to specific key questions following theUK’s decision to leave the EU, please refer towww.ucl.ac.uk/eu-referendum

This information is for guidance only. It should not be construed as advice nor relied upon and does not form part of any contract.For more information on UCL's degree programmes please see the UCL Graduate Prospectus at www.ucl.ac.uk/graduate

PDF Updated: February 07, 2018