Major in Data science and Applied Mathematics

This major is available only to students who majored or minored in Applied Mathematics during their bachelor's degree programme. Students completing the major Computing and Applied Mathematics will be able to: Understand both applied mathematics and computing including algorithms, scientific calculations, computer system modelling, optimisation, automated learning or data mining, Understand and use the methods and techniques related to advanced algorithms such as optimisation methods, constraint programming, algorithms of graphs, numerical algorithms or analysis and design of algorithms, Identify and use models and techniques relating to statistics, automated learning and data mining; understand categories of applications used for the processing of raw data as well as automatic forms used to mine information out of large data sets.


 
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Mandatory Optional
Course not taught in 2020-2021 Periodic course not taught in 2020-2021
Periodic course taught in 2020-2021 Activity with prerequisites
Click on the course title to see detailed informations (objectives, teaching methods, evaluation...)
The student shall select 20 to 30 credits among
Annual unit
  1 2

Mandatory Content:
Mandatory Required courses in Computing and Applied Mathematics (20 credits)
Mandatory LINMA2472 Algorithms in data science   Jean-Charles Delvenne (coord.)
, Gautier Krings (compensates Vincent Blondel)
30h+22.5h  5 credits q1 x x
Mandatory LINMA2710 Scientific computing   Pierre-Antoine Absil (coord.)
, Karl Meerbergen (compensates Anthony Papavasiliou)
,
30h+22.5h  5 credits q2 x x
Mandatory LSINF2275 Data mining & decision making   Marco Saerens
30h+15h  5 credits q2 x x
Mandatory LINGI2364 Mining Patterns in Data   Siegfried Nijssen
30h+15h  5 credits q2 x x
Optional Elective courses in computing and applied mathematics
Student shall select max. 10 credits among
Optional LELEC2870 Machine learning : regression, deep networks and dimensionality reduction   John Lee
, Michel Verleysen
30h+30h  5 credits q1 x x
Optional LINGI2266 Advanced Algorithms for Optimization   Pierre Schaus
30h+15h  5 credits q1 x x
Optional LINGI2348 Information theory and coding   Jérôme Louveaux
, Benoît Macq
, Olivier Pereira
30h+15h  5 credits q2 x x
Optional LINGI2365 Constraint programming   Pierre Schaus
, Pierre Schaus (compensates Yves Deville)
30h+15h  5 credits q2 x x
Optional LINMA2450 Combinatorial optimization   Jean-Charles Delvenne
, Julien Hendrickx
30h+22.5h  5 credits q1 x x
Optional LINMA2470 Stochastic modelling   Philippe Chevalier
30h+22.5h  5 credits q2 x x
Optional LINMA2471 Optimization models and methods II   François Glineur
30h+22.5h  5 credits q1 x x
Optional LMAT2450 Cryptography   Olivier Pereira
30h+15h  5 credits q1 x x
Optional LMECA2170 Numerical Geometry   Vincent Legat
, Jean-François Remacle
30h+30h  5 credits q1 x x