Cycle view
- Bloc
- Organisation
- Théorie
- Pratique
- Autres
- Crédits
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 |
|---|---|---|---|---|---|---|---|
| DATS0001-1 | Foundations of data science (english language) - [55h Projet] | B1 | Q1 | 25 | 10 | [+] | 5 |
| PROJ0021-1 | Data science project (english language) - [120h Projet] | B1 | Q2 | 5 | - | [+] | 5 |
| 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] | B2 | Q1 | 30 | - | [+] | 5 |
| ATFE9009-1 | Master thesis (english language) - [750h Projet] | B2 | 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 | 5 | |||||
Elective courses
- B1
- 50Cr
- B2
- 25Cr
Single focus
- B1
- 30Cr
| Code | Détails | Bloc | Organisation | Théorie | Pratique | Autres | Crédits |
|---|---|---|---|---|---|---|---|
| ELEN0062-1 | Introduction to machine learning (english language) - [40h Projet] | B1 | Q1 | 30 | 5 | [+] | 5 |
| INFO8010-1 | Deep learning (english language) - [55h Projet] | B1 | Q2 | 25 | 10 | [+] | 5 |
| INFO9014-1 | Knowledge representation and reasoning (english language) | B1 | Q2 | 24 | 20 | - | 5 |
| INFO9016-1 | Advanced Databases (english language) | B1 | Q2 | 24 | 20 | - | 5 |
| MATH0461-2 | Introduction to numerical optimization (english language) - [25h Projet] | B1 | Q1 | 30 | 20 | [+] | 5 |
| MATH2021-1 | High-dimensional statistics (english language) - [30h Projet] | B1 | Q1 | 30 | 15 | [+] | 5 |
| Code | Détails | Bloc | Organisation | Théorie | Pratique | Autres | Crédits |
|---|---|---|---|---|---|---|---|
| ELEN0016-2 | Computer vision (english language) - [50h Projet] | - | Q1 | 30 | 10 | [+] | 5 |
| ELEN0060-2 | Information and coding theory (english language) - [30h Projet] | - | Q2 | 30 | 15 | [+] | 5 |
| INFO0016-1 | Introduction to the theory of computation (english language) | - | Q1 | 26 | 26 | - | 5 |
| INFO0027-2 | Programming techniques (english language) | - | Q2 | 5 | |||
| Algorithmics - [40h Projet] | 14 | 14 | [+] | ||||
| Software patterns - [30h Projet] | 10 | 10 | [+] | ||||
| INFO0054-1 | Functional programming - [15h Projet] | - | Q1 | 28 | 24 | [+] | 5 |
| INFO0939-1 | High performance scientific computing (english language) - [20h Projet]
Christophe Geuzaine - Suppl : David Colignon
| - | Q1 | 30 | 15 | [+] | 5 |
| INFO0948-2 | Introduction to intelligent robotics (english language) - [80h Projet] | - | Q2 | 30 | 4 | [+] | 5 |
| INFO2049-1 | Web and Text Analytics (english language) | - | Q1 | 30 | - | - | 5 |
| INFO8003-1 | Optimal decision making for complex problems (english language) - [45h Projet] | - | Q2 | 25 | 10 | [+] | 5 |
| INFO8004-1 | Advanced Machine learning (english language) - [45h Projet] | - | Q2 | 25 | - | [+] | 5 |
| INFO9012-1 | Parallel Programming (english language) | - | Q2 | 25 | 25 | - | 5 |
| INFO9015-1 | Logic for Computer Science (english language) | - | Q1 | 24 | 20 | - | 5 |
| INGE0012-1 | (pas organisé en 2022-2023) Scientific research in engineering and its impact on innovation (english language) | - | Q2 | 26 | 26 | - | 5 |
| MATH0462-1 | Discrete optimization (english language) - [25h Projet] | - | Q2 | 30 | 20 | [+] | 5 |
| MATH2022-1 | Monte Carlo methods in statistics (english language) | - | Q2 | 5 | |||
| General course - [10h Projet] | 24 | 12 | [+] | ||||
| Project complement - [30h Projet] | - | - | [+] | ||||
| MQGE0002-3 | Computational Optimization (english language) | - | Q2 | 30 | - | - | 5 |
| PROJ0017-1 | Personal student project in Data Science (english language) - [150h Projet] | - | TA | - | - | [+] | 5 |
| BIOL0021-1 | Biology of the systems - [10h Monitored workshops]
Corequisite
| - | Q1 | 10 | - | [+] | 2 |
| OCEA0089-1 | Introduction to marine ecosystems modelling (english language)
Corequisite
| - | Q1 | 15 | 15 | - | 3 |
| GEOG0057-1 | Spatial analysis | - | Q2 | 30 | 30 | - | 5 |
| GEOG0059-1 | Infrastructures of spatial data | - | Q1 | 30 | 30 | - | 5 |
| GEST0832-4 | Financial Markets
Corequisite
| - | Q1 | 40 | 15 | - | 5 |
| FINA0063-1 | Advanced Statistical Methods in Finance (english language) | - | Q1 | 30 | - | - | 5 |
| GEST3032-1 | eBusiness and eCommerce (english language) | - | Q1 | 30 | - | - | 5 |
| GBIO0002-1 | Genetics and bioinformatics (english language) - [15h Projet] | - | Q1 | 30 | 15 | [+] | 5 |
| GBIO0009-1 | Topics in bioinformatics (english language) - [35h Projet] | - | Q1 | 25 | 15 | [+] | 5 |
| GBIO0030-1 | Computational approaches to statistical generics (english language) - [35h Projet] | - | Q2 | 25 | 15 | [+] | 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. | - | |||||
Optional company internships |
|||||||
| Notice : the course units ASTG9008-1 and ASTG9009-1 are mutually exclusive | |||||||
| ASTG9008-1 | Internship (coupled with Master thesis) (english language) - [80d Field work] | B2 | TA | - | - | [+] | 5 |
| ASTG9009-1 | Internship (independent of Master thesis) - [40d Field work] | B2 | TA | - | - | [+] | 10 |
| Code | Détails | Bloc | Organisation | Théorie | Pratique | Autres | Crédits |
|---|---|---|---|---|---|---|---|
| Students who are admitted to this master without having acquired equivalent courses must add them to the programme of their first year. | |||||||
| MATH0002-4 | Mathematical analysis 1 | B0 | Q1 | 22 | 22 | - | 4 |
| MATH0013-1 | Algebra | B0 | Q1 | 26 | 26 | - | 5 |
| MATH0062-1 | Elements of probability calculus - [25h Projet] | B0 | Q2 | 15 | 10 | [+] | 3 |
| MATH0487-2 | Elements of statistics - [25h Projet] | B0 | Q1 | 15 | 10 | [+] | 3 |
| MATH0488-1 | Elements of stochastic processes - [30h Projet] | B0 | Q2 | 10 | 10 | [+] | 2 |
| INFO2009-2 | Introduction to computer science | B0 | Q1 | 24 | 14 | - | 4 |
| MATH0006-3 | Introduction to numerical analysis (english language) | B0 | Q1 | 20 | 20 | - | 4 |
| MECA0003-2 | Rational Mechanics | B0 | Q1 | 20 | 30 | - | 4 |
| SYST0002-2 | Introduction to signals and systems - [15h Projet] | B0 | Q1 | 26 | 26 | [+] | 5 |
|
2. Additional courses in computer science : |
|||||||
| INFO0902-1 | Data structures and algorithms - [40h Projet] | B0 | Q2 | 26 | 20 | [+] | 5 |
| INFO0009-2 | Database (general organisation) - [25h Projet] | B0 | Q2 | 26 | 26 | [+] | 5 |
| INFO8006-1 | Introduction to artificial intelligence (english language) - [45h Projet] | B0 | Q1 | 25 | 20 | [+] | 5 |