Master of Science (MSc) in Data Science

If one or several of the mandatory courses have already been credited when entering the Master of Data science program, they can be replaced by a corresponding amount of credits chosen among the elective courses.
Code	Détails	Bloc	Organisation	Théorie	Pratique	Autres	Crédits

Compulsory Courses

B1

20Cr

B2

35Cr
Code	Détails	Bloc	Organisation	Théorie	Pratique	Autres	Crédits
Computer Science, Applied Mathematics and Data Science fundamentals :
INFO0016-1	Introduction to the theory of computation (english language) Quentin Louveaux	B1	Q1	26	26	-	5
MATH0461-2	Introduction to numerical optimization (english language) - [25h Projet] Quentin Louveaux	B1	Q1	30	20	[+]	5
ELEN0060-2	Information and coding theory (english language) - [30h Projet] Louis Wehenkel	B1	Q2	30	15	[+]	5
ELEN0062-1	Introduction to machine learning (english language) - [40h Projet] Pierre Geurts, Louis Wehenkel	B1	Q1	30	5	[+]	5
Master thesis
ATFE9009-1	Master thesis (english language) - [750h Projet] Pierre Geurts	B2	TA	-	-	[+]	25
Management and legal issues
DROI1357-1	European law, (big) data and artificial intelligence applications seminar (english language) - Suppl : Ljupcho Grozdanovski	B2	Q1	24	-	-	5
GEST3162-1	Principles of management (english language) - [25h Projet] François Pichault, Willem Standaert	B2	Q1	30	-	[+]	5
[...]	Students who have already acquired the skills and knowledge of GEST3162 (or equivalent) will replace it by a course of their choice of 5 ECTS						5

Elective courses

B1: 40Cr
B2: 25Cr

Single focus

B1: 30Cr

Professional focus in data science

B1

30Cr
Code	Détails	Bloc	Organisation	Théorie	Pratique	Autres	Crédits
MATH2021-1	High-dimensional data analysis (english language) - [30h Projet] Gentiane Haesbroeck	B1	Q1	30	15	[+]	5
INFO8002-1	Large-scale data systems (english language) - [45h Projet] Gilles Louppe	B1	Q1	25	10	[+]	5
PROJ0016-1	Big data project (english language) - [180h Projet] Bertrand Cornélusse, Pierre Geurts, Gilles Louppe, Gilles Louppe Corequisite INFO8006-1 Introduction to artificial intelligence	B1	TA	25	-	[+]	10
INFO9014-1	Knowledge representation and reasoning (english language) Christophe Debruyne	B1	Q2	24	20	-	5
INFO8010-1	Deep learning (english language) - [55h Projet] Gilles Louppe	B1	Q2	25	10	[+]	5

Choose 10 credits in the following list, among those that have not already been credited before entering the Master programme:

B1

10Cr
Code	Détails	Bloc	Organisation	Théorie	Pratique	Autres	Crédits
INFO8006-1	Introduction to artificial intelligence (english language) - [45h Projet] Gilles Louppe	B1	Q1	25	20	[+]	5
INFO8003-1	Optimal decision making for complex problems (english language) - [45h Projet] Damien Ernst	B1	Q2	25	10	[+]	5
INFO8004-1	Advanced Machine learning (english language) - [45h Projet] Pierre Geurts, Gilles Louppe, Louis Wehenkel	B1	Q2	25	-	[+]	5
INFO2049-1	Web and Text Analytics (english language) Ashwin Ittoo	B1	Q1	30	-	-	5
ELEN0016-2	Computer vision (english language) - [50h Projet] Marc Van Droogenbroeck	-	Q1	30	10	[+]	5
INFO0948-2	Introduction to intelligent robotics (english language) - [80h Projet] Pierre Sacré	B1	Q2	30	4	[+]	5
PROJ0017-1	Personal student project in Data Science (english language) - [150h Projet] Pierre Geurts, Gilles Louppe	B1	TA	-	-	[+]	5
INFO9015-1	Logic for Computer Science (english language) Pascal Fontaine	B1	Q1	24	20	-	5
INFO0027-2	Programming techniques (english language)	B1	Q2				5
	Algorithmics - [40h Projet] Laurent Mathy			14	14	[+]
	Software patterns - [30h Projet] Laurent Mathy			10	10	[+]
INFO0010-4	Introduction to computer networking (english language) - [12h Laboratory work, 40h Projet] Guy Leduc	B1	Q1	35	2	[+]	5
INFO0940-1	Operating systems (english language) - [30h Projet] Laurent Mathy	B1	Q2	30	6	[+]	5
INFO0045-3	Introduction to computer security (english language) - [10h Laboratory work, 30h Projet] Benoît Donnet	B1	Q1	30	6	[+]	5
INFO8011-1	Network infrastructures (english language) - [12h Laboratory work, 30h Projet] (Odd years, organized in 2021-2022) Benoît Donnet, Guy Leduc, Laurent Mathy	B1	Q1	30	-	[+]	5

Choose 25 credits in the following topics, among those that have not already been credited in Block 1 or before entering this Master programme:

B2

25Cr
Code	Détails	Bloc	Organisation	Théorie	Pratique	Autres	Crédits
Elective courses in Data Science and Artificial Intelligence
INFO8004-1	Advanced Machine learning (english language) - [45h Projet] Pierre Geurts, Gilles Louppe, Louis Wehenkel	B2	Q2	25	-	[+]	5
INFO2049-1	Web and Text Analytics (english language) Ashwin Ittoo	B2	Q1	30	-	-	5
GEST5006-1	SAS Certification applied analytics (english language) Michael Schyns	B2	Q2	15	25	-	5
MATH2022-1	Large sample analysis : theory and practice (english language)	B2	Q2				5
	General course - [10h Projet] Arnout Van Messem			24	12	[+]
	Project complement - [30h Projet] Arnout Van Messem			-	-	[+]
INFO8003-1	Optimal decision making for complex problems (english language) - [45h Projet] Damien Ernst	B2	Q2	25	10	[+]	5
ELEN0016-2	Computer vision (english language) - [50h Projet] Marc Van Droogenbroeck	B2	Q1	30	10	[+]	5
INFO0948-2	Introduction to intelligent robotics (english language) - [80h Projet] Pierre Sacré	B2	Q2	30	4	[+]	5
Elective courses in Computer Science and Applied Mathematics
INFO0027-2	Programming techniques (english language)	B2	Q2				5
	Algorithmics - [40h Projet] Laurent Mathy			14	14	[+]
	Software patterns - [30h Projet] Laurent Mathy			10	10	[+]
INFO0939-1	High performance scientific computing (english language) - [20h Projet] Christophe Geuzaine	B2	Q1	30	15	[+]	5
INFO0010-4	Introduction to computer networking (english language) - [12h Laboratory work, 40h Projet] Guy Leduc	B2	Q1	35	2	[+]	5
INFO0940-1	Operating systems (english language) - [30h Projet] Laurent Mathy	B2	Q2	30	6	[+]	5
INFO0045-3	Introduction to computer security (english language) - [10h Laboratory work, 30h Projet] Benoît Donnet	B2	Q1	30	6	[+]	5
INFO8011-1	(pas organisé en 2021-2022) Network infrastructures (english language) - [12h Laboratory work, 30h Projet] (Odd years, organized in 2021-2022) Benoît Donnet, Guy Leduc, Laurent Mathy	B2	Q1	30	-	[+]	5
MATH0462-1	Discrete optimization (english language) - [25h Projet] Quentin Louveaux	B2	Q2	30	20	[+]	5
MQGE0002-3	Computational Optimization (english language) Yves Crama	B2	Q2	30	-	-	5
INFO9014-1	Knowledge representation and reasoning (english language) Christophe Debruyne	B2	Q2	24	20	-	5
Elective courses in bioinformatics
GBIO0002-1	Genetics and bioinformatics (english language) - [15h Projet] Franck Dequiedt, Kristel Van Steen	B2	Q1	30	15	[+]	5
GBIO0009-1	Topics in bioinformatics (english language) - [35h Projet] Kristel Van Steen	B2	Q1	25	15	[+]	5
GBIO0030-1	Computational approaches to statistical generics (english language) - [35h Projet] Kristel Van Steen	B2	Q2	25	15	[+]	5
Elective courses in management
GEST3032-1	eBusiness and eCommerce (english language) Ashwin Ittoo	B2	Q1	30	-	-	5
Optional company internships
Notice : the course units ASTG9008-1 et ASTG9009-1 are mutually exclusive.
ASTG9008-1	Internship (coupled with Master thesis) (english language) - [80d Field work] Pierre Geurts	B2	TA	-	-	[+]	5
ASTG9009-1	Internship (independent of Master thesis) - [40d Field work] Pierre Geurts	B2	TA	-	-	[+]	10
Miscellaneous
INGE0012-1	Scientific research in engineering and its impact on innovation (english language) Rodolphe Sepulchre	B2	Q2	26	26	-	5
[...]	With the agreement of the President of the Jury, students may also choose up to 15 credits in the application area of their Master thesis in other programmes of the university						-
[...]	With the agreement of the President of the Jury, students may also choose 5 credits in any other programme of the university.						-

Extra credits Master in Data Science (120 ECTS)

Code

Détails

Bloc

Organisation

Théorie

Pratique

Autres

Crédits

Optional courses

B0: 56Cr

The following courses are prerequisites for some courses of this master programme. Therefore, students who are admitted to this master without having acquired equivalent courses must add them to the programme of their first year.

B0

56Cr
Code	Détails	Bloc	Organisation	Théorie	Pratique	Autres	Crédits
MATH2007-1	General mathematics I Françoise Bastin	B0	Q1	30	40	-	6
MATH0499-1	Graph theory Michel Rigo	B0	Q1	25	20	-	4
MATH0495-1	Elements for calculating probabilities - [5h Projet] Céline Esser	B0	Q1	15	15	[+]	3
MATH0487-2	Elements of statistics - [25h Projet] Pierre Sacré	B0	Q1	15	10	[+]	3
MATH1222-3	Introduction to stochastic processes - [10h Monitored workshops] Amir Aboubacar, Pierre Geurts	B0	Q2	20	10	[+]	5
INFO0946-1	Introduction to computer programming - [10h Laboratory work] Benoît Donnet	B0	Q1	30	30	[+]	5
INFO2050-1	(pas organisé en 2021-2022) Advanced computer programming - [40h Projet]	B0	Q1	25	20	[+]	5
INFO0009-2	Database (general organisation) - [25h Projet] Christophe Debruyne	B0	Q2	26	26	[+]	5
MATH0500-1	Introduction to numerical algorithmic - [6h Laboratory work, 45h Projet] Quentin Louveaux	B0	Q1	24	14	[+]	5
INFO0054-1	(pas organisé en 2021-2022) Functional programming - [15h Projet] Christophe Debruyne	B0	Q1	28	24	[+]	5
INFO0062-1	Object-oriented programming (english language) - [20h Projet] Bernard Boigelot	B0	Q2	25	20	[+]	5
MATH2019-1	Mathematics for computing 1 Emilie Charlier, N...	B0	Q1	26	26	-	5
MATH2020-1	Mathematics for computing 2 Emilie Charlier, N...	B0	Q1	26	26	-	5
INFO8006-1	Introduction to artificial intelligence (english language) - [45h Projet] Gilles Louppe	B0	Q1	25	20	[+]	5

Students must have a level B2 in English

Of Science (MSc) in Data Science

Cycle view

If one or several of the mandatory courses have already been credited when entering the Master of Data science program, they can be replaced by a corresponding amount of credits chosen among the elective courses.

Compulsory Courses

Computer Science, Applied Mathematics and Data Science fundamentals :

Master thesis

Management and legal issues

Elective courses

Single focus

Professional focus in data science

Choose 10 credits in the following list, among those that have not already been credited before entering the Master programme:

Choose 25 credits in the following topics, among those that have not already been credited in Block 1 or before entering this Master programme:

Elective courses in Data Science and Artificial Intelligence

Elective courses in Computer Science and Applied Mathematics

Elective courses in bioinformatics

Elective courses in management

Optional company internships

Miscellaneous

Extra credits Master in Data Science (120 ECTS)

Optional courses

The following courses are prerequisites for some courses of this master programme. Therefore, students who are admitted to this master without having acquired equivalent courses must add them to the programme of their first year.