msc business analytics and operations research - study baor at tilburg university

Business Analytics andOperations Research Information MSc BAOR

Smarter decisions with math and data

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Examples of applications …

“Improving society by math and data”

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Goals

• Knowledge of theory and methods to solve complex business problems:

• methods for analysing big data, and/or making predictions (predictive analytics)

• optimization methods (prescriptive analytics)

• The “hard” skills needed in practice:

• translating the problem into a mathematical model • choosing the right method to solve• being able to use or develop relevant computer software

• The “soft” skills that are crucial for the successful implementation of business projects

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BAOR program

Master program (1 year)

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ECTS

Core courses (cluster A) 30

Elective 1 + 2 (cluster B) 12

Master Thesis 18

total 60

Schedule

• Two entry moments: September and February

• Entry in September:• Fall semester: 5 courses• Spring semester: 2 courses + Master thesis

• Entry in February:• Spring semester: 5 courses• Fall semester: 2 courses + Master thesis

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Cluster A courses (30 ECTS)

• Data Science Methods

• Simulation

• Optimization

• Supply Chain Analytics

• Decision Making with Business Analytics

• Professional Business Analytics Skills

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BAOR program

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Data Science Methods

Goals:

• Acquire knowledge of theory, methods and techniques, to analyze big data sets.

• Acquire the skills necessary to implement these in practical cases (incl. software).  Contents:

• Supervised vs. unsupervised learning• Loading + cleaning data • Visualizing data + dimension reduction • Classification (discriminant analysis, nearest neighbor, logistic regression• Resampling methods (cross-validation, bootstrap) • Model selection (forward selection, lasso, shrinkage, principal components)• Tree-based classification (regression trees, bagging, boosting) • Support Vector Machines (support vector classifiers) • Applications

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Professional Business Analytics Skills

Goals:

• Acquire those softer skills that are essential for an analytics professional 

Contents:

• How to ‘sell’ business analytics?• Project & team setup• Data preparation, cleansing & visualization• Modeling the essence• Validation• Change management• Presenting for high impact• …• Business analytics is a process; not a single analysis

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Decision Making with Business Analytics

• To get a holistic view on Business Analytics (BA).

• To get insight in why and how BA plays such an important role nowadays.

• To get an overview of advanced BA models and methods.

• To learn advanced BA models/methods that are not covered in the other BAOR courses.

• To be able to decide which model / method to use when.

• To learn state-of-the art BAOR software.

• To get insight for which application areas BA can be used.

Cluster B courses (12 ECTS)

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• The remaining core course

• Finance Analytics : • Asset Liability Management

• Marketing Analytics:• Customer Analytics • Market assessment

• Econometrics and Mathematical Economics:

• Core courses of the MSc EME

• Business Analytics:• Business Analytics & Emerging

Trends

• LNMB courses (only MSc and not PhD level):

• Scheduling• Advanced Linear Programming• Queueing Theory• Discrete Optimization

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BAOR program

BAOR Mastermind

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• 4-6 sessions per year

• Contents:• presentations by companies• tips/tricks on successful BAOR in practice• important developments in the BAOR field, e.g.

• business analytics• Big Data / Data Science

• possibility to get advice…

• On a voluntary basis!

• Interested 3rd-years BSc students are also welcome!

Examples of Master Thesis topics

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“Improving society by math and data”

Optimal cancer treatment

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Frank Steenbergen

ObjectiveFind optimal radiation plan such that

- tumor is targeted - healthy organs are spared

TechniquesNonlinear and robust optimization

Optimal food supply for hungry people

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Koen PetersRiley Badenbroek

ObjectiveFind optimal food supply plan such that

- daily meals satisfy nutritional requirements - total logistics costs are minimized

TechniquesMixed integer linear optimization, conic optimization, robust

Optimal flood protection

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Chris Pustjens

ObjectiveFind optimal set of flood protection measures such that

- safety norms are satisfied- total costs are minimized

TechniquesInteger optimization, shortest path, predictive analytics

Optimal shift planning of Air Traffic Controllers

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Dori van Hulst

ObjectiveFind optimal shift planning such that - all types of restrictions are satisfied

- total costs of under- and overcapacity are minimized

TechniquesMixed integer optimization, robust optimization

Optimal manpower planning

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Eline Slijkhuis

ObjectiveFind optimal manpower planning such that

- all types of restrictions are satisfied- total contract costs are minimized

TechniquesMixed integer optimization, predictive analytics

Big data for network optimization

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Ioannis Zempekakis

ObjectiveHow to use Big Data in facility location optimization?

TechniquesPredictive analytics, Big Data techniques

Mixed Integer Optimization

Optimal refinery planning

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Harmen Boersma

ObjectiveFind production plan such that

- all types of restrictions are satisfied- profit is maximized

TechniquesNonconvex optimization

Optimal energy planning in Smart Grids

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Robin Swinkels

ObjectiveFind optimal production/storage plan such that

- demand of heat/gas can be satisfied- total costs are minimized

TechniquesLinear optimization, robust optimization, predictive analytics

Job opportunities

A lot of opportunities:

• Consultant at a BA/OR center or department of a large firm

• Management consulting

• Management support (manufacturing, service)

• Application providers (SAP, Quintiq, etc.)• Application builders• Solution builders• Implementers

• Research institutes (TNO, Deltares, …)

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Job opportunities in academia

• PDEng program “Data Science”• 2 years, with salary

• Joint program with TU/e

• In monastery “Marienburg”, Den Bosch

• Getting a PhD

• 2nd year of Research Master program

• 3 years PhD25

Many career opportunities

BA/OR consultants

BA/OR departments

BA/OR software

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Job descriptions

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Some job descriptions of recent graduates:

Supply Chain Consultant OM PartnersImplementation Consultant ORTECLife Cycle Management Analyst Philips HealthcareOptimization Algorithm Expert QuintiqQuantitative AnalystRabobank NederlandQuantitative Researcher RobecoConsultantQuintiqSupply Chain Consultant ORTECRisk Manager CardanoSupply Chain Specialist BavariaConsultantFabory GroupData ScientistGreenhouseOR Specialist Dutch Railways

Why studying BAOR in Tilburg …

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Hardware & Services

Software

• Modern program including Data Science methods

• Part of big JADS initiative you can benefit from

• Quality of teachers:• World class researchers in BAOR / Strong connection to practice

• Extensive company network you can benefit from

• Wide variety of applications and job opportunities

• Improving society by math and data

• Many, many job opportunities...!

JADS: Jheronimus Academy of Data Science

Marketing Analytics 1 year

TiUData Science master

Business Analytics and Operations Research

1 year

TiUData Science master

Data Science for Business & Governance

TiUData Science master

Data Science & Entrepreneurship

TiU - TU/eData Science master

2 years

1 year

Double degree (in progress)

Marketing Analytics 1 year

TiUData Science master

Business Analytics and Operations Research

1 year

TiUData Science master

Data Science for Business & Governance

TiUData Science master

Data Science & Entrepreneurship

TiU - TU/eData Science master

2 years

1 year

Transition ORMS ORMS: BAOR

• MSc diploma: Operations Research and Management Science

• Transcript:

“Specialization Business Analytics and Operations Research”

Register in Studielink for:

Operations Research / Management Science

“Specialization Business Analytics and Operations Research”

Program Coordinator

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• Program information

• Planning• Electives• Study skills• Special

circumstances• Study results• Extracurricular

activities

Anna Slump

econometricsprograms-tisem@uvt.nl

You can meet the program coordinator at the information market in the Cobbenhagen building (building C) from 19.00 – 21.15 hrs.

Study Advisor

Questions?

e-mail D.denHertog@uvt.nl

… or visit Dick den Hertog (K5.39)

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