Master MSc. in Data Science and Engineering, professional focus

Block 1

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 from the core curriculum
Code	Details	Organization	Theory	Practical	Others	Credits
PROJ0021-1	Data science project (english language) - [120h Projet] Christophe Debruyne, Maxime Fays, Pierre Geurts, Gilles Louppe Corequisite INFO0902-1 Structures des données et algorithmes MATH0461-2 Introduction to numerical optimization	Q2	5	-	[+]	5

Optional courses from the core curriculum

In agreement with the Jury, choose a total of 25 credits for Block 1 in the following list, among those that have not already been credited before.
Code	Details	Organization	Theory	Practical	Others	Credits
Data Science foundation courses The following courses (INFO0009-2, INFO8006-1, MATH0461-2 and INFO0902-1) are corequisite to some compulsory courses of the master program. They must be taken as a priority, unless they were already taken as part of the bachelor of science in engineering or bachelelor of computer science, or unless the corresponding knowledge and skills have been acquired previously.
INFO8006-1	Introduction to artificial intelligence (english language) - [45h Projet] Gilles Louppe	Q1	25	20	[+]	5
MATH0461-2	Introduction to numerical optimization (english language) - [25h Projet] Quentin Louveaux	Q1	30	20	[+]	5
INFO0009-2	Database (general organisation) - [25h Projet] Christophe Debruyne	Q2	26	26	[+]	5
INFO0902-1	Data structures and algorithms - [40h Projet] Pierre Geurts	Q2	26	20	[+]	5
DATS0002-1	Data visualization (english language) - [25h Projet] Adrien Deliège	Q2	25	20	[+]	5
ELEN0016-2	Computer vision (english language) - [50h Projet] Anthony Cioppa, Adrien Deliège, Marc Van Droogenbroeck	Q1	30	10	[+]	5
ELEN0060-2	Information and coding theory (english language) - [30h Projet] Louis Wehenkel	Q2	30	15	[+]	5
ELEN0449-1	Computer Vision understanding (english language) - [50h Projet] Anthony Cioppa	Q2	24	10	[+]	5
INFO0016-1	Introduction to the theory of computation (english language) Quentin Louveaux	Q1	26	26	-	5
INFO0027-2	Programming techniques (english language)	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	Q1	30	15	[+]	5
INFO0948-2	Introduction to intelligent robotics (english language) - [80h Projet] Pierre Sacré	Q2	30	4	[+]	5
INFO2049-1	Artificial Intelligence Methods for Natural Language Processing (english language) Ashwin Ittoo	Q1	30	-	-	5
INFO8003-1	Reinforcement learning (english language) - [45h Projet] Damien Ernst	Q2	25	10	[+]	5
INFO8004-1	Advanced Machine learning (english language) - [20h Projet] Pierre Geurts, Gilles Louppe, Louis Wehenkel	Q2	25	-	[+]	5
INFO9015-1	Logic for Computer Science (english language) Pascal Fontaine	Q1	24	20	-	5
INFO9023-1	Machine Learning Systems Design (english language) - [17h Laboratory work, 18h Projet] Thomas Vrancken Corequisite ELEN0062-1 Introduction to machine learning	Q2	17	-	[+]	5
INFO9030-1	Explainable Artificial Intelligence (english language) - [50h Projet] Vân Anh Huynh-Thu Corequisite ELEN0062-1 Introduction to machine learning	Q2	24	-	[+]	5
MATH0462-1	Discrete optimization (english language) - [25h Projet] Quentin Louveaux	Q2	30	20	[+]	5
MATH1222-3	Introduction to stochastic processes - [10h Monitored workshops] Céline Esser, Pierre Geurts	Q2	20	10	[+]	5
MATH2022-1	Monte Carlo methods in statistics (english language) - [40h Projet] (Even years, organized in 2026-2027) Arnout Van Messem	Q2	24	12	[+]	5
MQGE9007-1	Advanced Modeling Techniques in Optimization (english language) Quentin Louveaux, N...	Q1	30	-	-	5
SYST0022-1	Linear Systems Design (english language) - [15h Projet] Guillaume Drion, Pierre Sacré	Q2	26	26	[+]	5
BIOL0021-1	Biology of the systems - [10h Monitored workshops] Patrick Meyer Corequisite OCEA0089-1 Introduction to marine ecosystems modelling	Q1	10	-	[+]	2
OCEA0089-1	Introduction to marine ecosystems modelling (english language) Marilaure Grégoire Corequisite BIOL0021-1 Biologie des systèmes	Q1	15	15	-	3
GEOG0057-1	Spatial analysis François Jonard, Jean-Paul Kasprzyk	Q2	30	30	-	5
GEOG0059-1	Infrastructures of spatial data Roland Billen, Jean-Paul Kasprzyk	Q1	30	30	-	5
GEST0832-4	Financial Markets Georges Hübner	Q2	40	15	-	5
FINA0063-1	Advanced Statistical Methods in Finance (english language) Julien Hambuckers	Q1	30	-	-	5
GEST3032-1	e-Commerce Methods and Techniques (english language) Ashwin Ittoo	Q1	30	-	-	5
SPAT0263-1	Machine Learning in Space Sciences (english language) Maxime Fays	Q1	30	15	-	5
SPAT0264-1	Machine Learning for Gravitational-wave Astronomy (english language) Maxime Fays	Q2	10	20	-	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 or from the UNIC course catalog						-

Focus courses
Code	Details	Organization	Theory	Practical	Others	Credits
DATS0001-1	Foundations of data science (english language) - [60h Projet] Gilles Louppe	Q1	30	-	[+]	5
ELEN0062-1	Introduction to machine learning (english language) - [40h Projet] Pierre Geurts, Louis Wehenkel Corequisite INFO8006-1 Introduction to artificial intelligence	Q1	30	5	[+]	5
INFO9016-1	Advanced Databases (english language) - [20h Projet] Christophe Debruyne Corequisite INFO0009-2 Bases de données (organisation générale)	Q1	24	20	[+]	5
MATH2021-1	High-dimensional statistics (english language) - [30h Projet] Gentiane Haesbroeck	Q1	30	15	[+]	5
INFO8010-1	Deep learning (english language) - [60h Projet] Gilles Louppe	Q2	30	-	[+]	5
INFO9014-1	Knowledge representation and reasoning (english language) - [45h Projet] Christophe Debruyne	Q2	24	20	[+]	5

Block 2

Compulsory courses from the core curriculum
Code	Details	Organization	Theory	Practical	Others	Credits
DROI1357-1	European law, (big) data and artificial intelligence applications seminar (english language) Jérôme De Cooman, Ljupcho Grozdanovski	Q1	24	-	-	5
GEST3162-1	Principles of management (english language) - [25h Projet] Michaël Parmentier, Willem Standaert	Q1	30	-	[+]	5
ATFE9009-1	Master thesis (english language) - [750h Projet] Christophe Debruyne	TA	-	-	[+]	25
[...]	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						-

Optional courses from the core curriculum

In agreement with the Jury, choose a total of 25 credits for Block 2 in the following list, among those that have not already been credited before.
Code	Details	Organization	Theory	Practical	Others	Credits
DATS0002-1	Data visualization (english language) - [25h Projet] Adrien Deliège	Q2	25	20	[+]	5
ELEN0016-2	Computer vision (english language) - [50h Projet] Anthony Cioppa, Adrien Deliège, Marc Van Droogenbroeck	Q1	30	10	[+]	5
ELEN0060-2	Information and coding theory (english language) - [30h Projet] Louis Wehenkel	Q2	30	15	[+]	5
ELEN0449-1	Computer Vision understanding (english language) - [50h Projet] Anthony Cioppa	Q2	24	10	[+]	5
INFO0016-1	Introduction to the theory of computation (english language) Quentin Louveaux	Q1	26	26	-	5
INFO0027-2	Programming techniques (english language)	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	Q1	30	15	[+]	5
INFO0948-2	Introduction to intelligent robotics (english language) - [80h Projet] Pierre Sacré	Q2	30	4	[+]	5
INFO2049-1	Artificial Intelligence Methods for Natural Language Processing (english language) Ashwin Ittoo	Q1	30	-	-	5
INFO8003-1	Reinforcement learning (english language) - [45h Projet] Damien Ernst	Q2	25	10	[+]	5
INFO8004-1	Advanced Machine learning (english language) - [20h Projet] Pierre Geurts, Gilles Louppe, Louis Wehenkel	Q2	25	-	[+]	5
INFO9015-1	Logic for Computer Science (english language) Pascal Fontaine	Q1	24	20	-	5
INFO9023-1	Machine Learning Systems Design (english language) - [17h Laboratory work, 18h Projet] Thomas Vrancken Corequisite ELEN0062-1 Introduction to machine learning	Q2	17	-	[+]	5
INFO9030-1	Explainable Artificial Intelligence (english language) - [50h Projet] Vân Anh Huynh-Thu Corequisite ELEN0062-1 Introduction to machine learning	Q2	24	-	[+]	5
MATH0462-1	Discrete optimization (english language) - [25h Projet] Quentin Louveaux	Q2	30	20	[+]	5
MATH1222-3	Introduction to stochastic processes - [10h Monitored workshops] Céline Esser, Pierre Geurts	Q2	20	10	[+]	5
MATH2022-1	Monte Carlo methods in statistics (english language) - [40h Projet] (Even years, organized in 2026-2027) Arnout Van Messem	Q2	24	12	[+]	5
MQGE9007-1	Advanced Modeling Techniques in Optimization (english language) Quentin Louveaux, N...	Q1	30	-	-	5
SYST0022-1	Linear Systems Design (english language) - [15h Projet] Guillaume Drion, Pierre Sacré	Q2	26	26	[+]	5
BIOL0021-1	Biology of the systems - [10h Monitored workshops] Patrick Meyer Corequisite OCEA0089-1 Introduction to marine ecosystems modelling	Q1	10	-	[+]	2
OCEA0089-1	Introduction to marine ecosystems modelling (english language) Marilaure Grégoire Corequisite BIOL0021-1 Biologie des systèmes	Q1	15	15	-	3
GEOG0057-1	Spatial analysis François Jonard, Jean-Paul Kasprzyk	Q2	30	30	-	5
GEOG0059-1	Infrastructures of spatial data Roland Billen, Jean-Paul Kasprzyk	Q1	30	30	-	5
GEST0832-4	Financial Markets Georges Hübner	Q2	40	15	-	5
FINA0063-1	Advanced Statistical Methods in Finance (english language) Julien Hambuckers	Q1	30	-	-	5
GEST3032-1	e-Commerce Methods and Techniques (english language) Ashwin Ittoo	Q1	30	-	-	5
SPAT0263-1	Machine Learning in Space Sciences (english language) Maxime Fays	Q1	30	15	-	5
SPAT0264-1	Machine Learning for Gravitational-wave Astronomy (english language) Maxime Fays	Q2	10	20	-	5
Optional company internship
ASTG9009-1	Internship (independent of Master thesis) - [40d Field work] Christophe Debruyne	TA	-	-	[+]	10
[...]	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 or from the UNIC course catalog						-

Bloc d'aménagement du programme de l'année

Bridging courses Master in Data Science Engineering (120 credits)

Code

Details

Organization

Theory

Practical

Others

Credits

Optional courses

Each student's program will be determined by the jury based on their previous education. If an applicant does not meet certain prerequisites,
their program will include up to 60 additional course credits, mainly from the list below.
Code	Details	Organization	Theory	Practical	Others	Credits
1. Basic courses of a bachelor degree of science in engineering, including courses equivalent to :
MATH0002-4	Analyse mathématique 1, Théorie et applications Eric Delhez	Q1	22	22	-	5
MATH0013-1	Algebra Eric Delhez	Q1	26	26	-	4
MATH0062-1	Elements of probability calculus - [25h Projet] Pierre Sacré	Q2	15	10	[+]	3
MATH0487-2	Elements of statistics - [25h Projet] Pierre Sacré	Q1	15	10	[+]	3
MATH1222-3	Introduction to stochastic processes - [10h Monitored workshops] Céline Esser, Pierre Geurts	Q2	20	10	[+]	5
INFO2009-2	Introduction to computer science Bernard Boigelot	Q1	24	14	-	4
MATH0006-3	Introduction to numerical analysis (english language) Quentin Louveaux	Q1	20	20	-	4
MECA0003-2	Rational Mechanics Eric Delhez	Q1	20	30	-	4
SYST0002-2	Introduction to signals and systems - [15h Projet] Guillaume Drion, Alessio Franci	Q2	26	26	[+]	5
2. Additional courses in computer science :
INFO0902-1	Data structures and algorithms - [40h Projet] Pierre Geurts	Q2	26	20	[+]	5
INFO0009-2	Database (general organisation) - [25h Projet] Christophe Debruyne	Q2	26	26	[+]	5
INFO8006-1	Introduction to artificial intelligence (english language) - [45h Projet] Gilles Louppe	Q1	25	20	[+]	5
3. A level B2 in English

MSc. in Data Science and Engineering, professional focus

Block 1

Compulsory courses from the core curriculum

Optional courses from the core curriculum

In agreement with the Jury, choose a total of 25 credits for Block 1 in the following list, among those that have not already been credited before.

Focus courses

Block 2

Compulsory courses from the core curriculum

Optional courses from the core curriculum

In agreement with the Jury, choose a total of 25 credits for Block 2 in the following list, among those that have not already been credited before.

Optional company internship

Bloc d'aménagement du programme de l'année

Bridging courses Master in Data Science Engineering (120 credits)

Optional courses

Each student's program will be determined by the jury based on their previous education. If an applicant does not meet certain prerequisites,their program will include up to 60 additional course credits, mainly from the list below.

Each student's program will be determined by the jury based on their previous education. If an applicant does not meet certain prerequisites,
their program will include up to 60 additional course credits, mainly from the list below.