Master in data science and engineering (120 ECTS)

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

B1

20Cr

B2

40Cr
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) Pierre Wolper	B1	Q1	26	26	-	5
MATH0461-2	Introduction to numerical optimization (english language) - [25h Projet] Quentin Louveaux	B1	Q1	30	20	[+]	5
INFO8006-1	Introduction to artificial intelligence (english language) - [45h Projet] Gilles Louppe	B1	Q1	25	10	[+]	5
ELEN0062-1	Introduction to machine learning (english language) - [40h Projet] Pierre Geurts, Louis Wehenkel	B1	Q1	30	5	[+]	5
Management and legal issues
GEST3162-1	Principles of management (english language) Michael Ghilissen, François Pichault	B2	Q1	25	25	-	5
DROI8031-2	Introduction to the law of robots, Law of artificial intelligence, robots and data-driven Algorithmic Applications (english language) Nicolas Petit	B2	Q1	20	-	-	5
Notice : students who have already acquired the skills and knowledge of GEST3162 (or equivalent) will replace it by GEST3032 (see options below).
Master thesis
ATFE9009-1	Master thesis and internship (english language) Pierre Geurts	B2	TA	-	-	-	30

Elective courses

B1: 40Cr
B2: 20Cr

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) - [10h Laboratory work, 15h Projet] Gentiane Haesbroeck	B1	Q1	15	-	[+]	3
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	B1	TA	10	-	[+]	7
ELEN0060-2	Information and coding theory (english language) - [30h Projet] Louis Wehenkel	B1	Q2	30	15	[+]	5
INFO8005-1	Semantic Data (english language) - [45h Projet] Jean-Louis Binot	B1	Q2	25	10	[+]	5
INFO8010-1	Deep learning (english language) - [45h Projet] Gilles Louppe	B1	Q2	30	5	[+]	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
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	30	5	[+]	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	B1	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
INFO0051-1	Logic (english language) - [10h Projet] Pascal Gribomont	B1	Q1	25	25	[+]	5
INFO0049-1	Knowledge representation (english language) - [50h Projet] Pascal Gribomont	B1	Q2	28	24	[+]	5
INFO0027-2	Programming techniques (english language) - [70h Projet] Laurent Mathy	B1	Q2	24	24	[+]	5
INFO0010-4	Introduction to computer networking (english language)	B1	Q2				5
	Part A - [8h Laboratory work, 40h Projet] Guy Leduc			30	2	[+]
	Part B - [4h Laboratory work] Guy Leduc			5	-	[+]
INFO0940-1	Operating systems (english language) - [30h Projet] Laurent Mathy	B1	Q2	30	6	[+]	5
INFO0045-3	Introduction to computer security (english language) - [8h Laboratory work, 30h Projet] Benoît Donnet	B1	Q1	30	10	[+]	5
INFO8011-1	(pas organisé en 2018-2019) Network infrastructures - [12h Laboratory work, 30h Projet] (Odd years) Benoît Donnet, Guy Leduc, Laurent Mathy	B1	Q2	30	-	[+]	5

Choose 20 credits in the following topics, among those that have not already been credited in Block 1 or before entering this Master programme:

B2

20Cr
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	30	5	[+]	5
INFO2049-1	Web and Text Analytics (english language) Ashwin Ittoo	B2	Q1	30	-	-	5
MATH2022-1	Large sample analysis : theory and practice (english language)	B2	Q2				5
	General course - [10h Projet] N..., Yvik Swan			24	12	[+]
	Project complement - [30h Projet] N..., Yvik Swan			-	-	[+]
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
INFO0049-1	Knowledge representation (english language) - [50h Projet] Pascal Gribomont	B2	Q2	28	24	[+]	5
GEST5006-1	SAS Certification applied analytics (english language) - [25h Monitored workshops] Michael Schyns	B2	Q2	15	-	[+]	5
Elective courses in Computer Science and Applied Mathematics
INFO0027-2	Programming techniques (english language) - [70h Projet] Laurent Mathy	B2	Q2	24	24	[+]	5
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)	B2	Q2				5
	Part A - [8h Laboratory work, 40h Projet] Guy Leduc			30	2	[+]
	Part B - [4h Laboratory work] Guy Leduc			5	-	[+]
INFO0940-1	Operating systems (english language) - [30h Projet] Laurent Mathy	B2	Q2	30	6	[+]	5
INFO0045-3	Introduction to computer security (english language) - [8h Laboratory work, 30h Projet] Benoît Donnet	B2	Q1	30	10	[+]	5
INFO8011-1	(pas organisé en 2018-2019) Network infrastructures - [12h Laboratory work, 30h Projet] (Odd years) Benoît Donnet, Guy Leduc, Laurent Mathy	B2	Q2	30	-	[+]	5
MATH0462-1	Discrete optimization (english language) - [25h Projet] Quentin Louveaux	B2	Q1	30	20	[+]	5
MQGE0002-3	Computational Optimization (english language) Yves Crama	B2	Q2	30	-	-	5
INFO0051-1	Logic (english language) - [10h Projet] Pascal Gribomont	B2	Q1	25	25	[+]	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
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 and Engineering (120 ECTS)

Code

Détails

Bloc

Organisation

Théorie

Pratique

Autres

Crédits

Optional courses

B0: 57Cr

Students who are admitted to this master without having acquired equivalent courses must add them to the programme of their first year.

B0

57Cr
Code	Détails	Bloc	Organisation	Théorie	Pratique	Autres	Crédits
1. Basic courses of a bachelor degree of science in engineering, including courses equivalent to :
MATH0002-4	Mathematical analysis 1 Eric Delhez	B0	Q1	22	22	-	4
MATH0003-1	Geometry	B0	Q2	25	15	-	3
MATH0013-1	Algebra Eric Delhez	B0	Q1	26	26	-	5
MATH0062-1	Elements of probability calculus - [25h Projet] Louis Wehenkel - Suppl : Adrien Deliège	B0	Q2	15	10	[+]	3
MATH0487-2	Elements of statistics - [25h Projet] Louis Wehenkel	B0	Q1	15	10	[+]	3
MATH0488-1	Elements of stochastic processes - [30h Projet] Maarten Arnst, Vincent Denoël, Pierre Geurts	B0	Q2	10	10	[+]	2
INFO2009-2	Introduction to computer science - [8h Laboratory work] Bernard Boigelot	B0	Q1	24	14	[+]	4
MATH0006-3	Introduction to numerical analysis (english language) Quentin Louveaux	B0	Q1	20	20	-	4
MECA0003-2	Rational Mechanics Eric Delhez	B0	Q1	20	30	-	4
SYST0002-2	Introduction to signals and systems - [15h Projet] Guillaume Drion	B0	Q1	26	26	[+]	5
2. Additional courses in computer science :
INFO0902-1	Data structures and algorithms - [40h Projet] Pierre Geurts	B0	Q2	26	20	[+]	5
INFO0009-2	Database (general organisation) - [25h Projet] Pierre Wolper - Suppl : Samuel Hiard	B0	Q2	26	26	[+]	5
INFO0054-1	Functional programming - [15h Projet] Pascal Gribomont	B0	Q2	28	24	[+]	5
INFO0062-1	Object-oriented programming (english language) - [20h Projet] Bernard Boigelot	B0	Q2	25	20	[+]	5
3. Students must have a level B2 in English.

Data science and engineering (120 ECTS)

Cycle view

Compulsory Courses

Computer Science, Applied Mathematics and Data Science fundamentals :

Management and legal issues

Master thesis

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 20 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

Miscellaneous

Extra credits Master in Data Science and Engineering (120 ECTS)

Optional courses

Students who are admitted to this master without having acquired equivalent courses must add them to the programme of their first year.

1. Basic courses of a bachelor degree of science in engineering, including courses equivalent to :

2. Additional courses in computer science :

3. Students must have a level B2 in English.