1. Major/minor Data Science & Business Analytics (HIR/BEng) Minor Predoctoral Module (HIR/BEng) Minor Business Research (TEW/BE) March 16, 2016

2. Domain: quantitative methods in management Statistical and econometric methods Optimisation techniques from operations research Extracting useful insights from large quantities of data HIR/BEng TEW/MBE

3. You will be trained in analytic thinking and acquire problem-solving skills. The courses focus on quantitative methods, but are application-oriented (incl. cases and software). Generic methods – all professional options are still open, and the remaining part of your programme adds to your profile (e.g. systems developer, marketing manager, HR director, supply-chain consultant, project manager, sales manager, stock-market expert, investment consultant, accountant, fiscal advisor, entrepreneur, financial director, financial analist, …) If you wish to pursue a PhD (doctorate), then you will contribute to the research output of the university and possibly enter into an academic career [ 14/20 entitles you to exemptions in our PhD programme ] Job opportunities

4. Students select courses for 24 credits from the following groups of electives: Electives Statistics and Econometrics Advanced econometrics (6 credits) Multivariate Statistics (6 credits) Advanced time series analysis (6 credits) Advanced applied econometrics (6 credits) Statistical modelling (6 credits) Electives Operations Research Applied optimization (6 credits) Project and production scheduling (6 credits) Combinatorial Optimization and Local Search Techniques (6 credits) Optimization: special topics (6 credits) Major/minor Data Science & Business Analytics (HIR/BEng)

5. Electives Data Science Knowledge Management and Business Intelligence (6 credits) Statistical Modelling (6 credits) Multivariate Statistics (6 credits) Machine Learning and Inductive Inference (4 credits) Data Mining (4 credits) Advanced Analytics in a Big Data World (4 credits) Principles of Database Management* (6 credits) * Only for students who did not follow this course during their prior education Major/minor Data Science and Business Analytics (HIR/BEng)

6. Students select courses for 24 credits from the following list: Applied Game Theory and Economics of Information (6 credits) Combinatorial optimization and local search techniques (6 credits) Advanced econometrics (6 credits) Advanced time series analysis (6 credits) Advanced Industrial Economics (6 credits) Optimization: special topics (6 credits) Statistical modelling (6 credits) Structural equations (6 credits) Minor Predoctoral Module (HIR/BEng)

7. Students select courses for 12 credits from the following list: Applied Game Theory and Economics of Information (6 credits) Advanced Econometrics (6 credits) Multivariate Statistics (6 credits) Statistical Modelling (6 credits) Optimization: special topics (6 credits) Minor Business Research (TEW/BE)

8. Who? HIR/BEng: regardless of major/minor (compulsory if major DS&BA) TEW/BE: only if minor B.R. is chosen, and conditional on link with major Some topics from previous years: o Scheduling the Belgian Soccer League o Elevator bank scheduling. Development of an algorithm for elevator control o Forecasting football results in the Belgian First Division: model comparison and prediction of the final league ranking o Predicting future commercial value of a customer using the Pareto/NBD model o Forecasting number of visitors of a tourist attraction o … own suggestions… Individual (possibly in groups of 2) Usually ORSTAT promoter; occasionally (co-)promoter from other group Master thesis Data Science & Business Analytics