 | Study programme 2019-2020 | Français | |
 | Faculty of Science | ||
| Master's in Computer Science : Specialist Focus on Artificial Intelligence and Data Analytics (Mons) |
- Panel Chairperson : Jef WIJSEN
- Panel Secretary : Tom MENS
| Show AAs | |||||||||||||||||
| Bloc 1 | Hours (*) | Term | Credits | Weight. | |||||||||||||
| HT(*) | HTPE(*) | HTPS(*) | HD(*) | HR(*) | Total | ||||||||||||
| Compulsory Teachings | 3 | ||||||||||||||||
 US-M1-SCINFO-007-M Scientific Reading and Writing | 0 | 0 | 0 | 0 | 0 | 0 | Y | 3 | 3 | ||||||||
| Thématiques | 30 | ||||||||||||||||
| Data Science and Artificial Intelligence | |||||||||||||||||
| US-M1-SCINFO-056-M Logic programming | 15 | 0 | 15 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| US-M1-SCINFO-058-M Big data analytics | 30 | 30 | 0 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| US-M1-SCINFO-002-M Advanced aspects of Artificial Intelligence | 30 | 15 | 0 | 0 | 0 | 45 | Q1 | 5 | 5 | ||||||||
| US-M1-SCINFO-500-M Knowledge representation and reasoning | 30 | 30 | 0 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| Computer Networks and Security | |||||||||||||||||
| US-M1-SCINFO-009-M Networks II | 30 | 30 | 0 | 0 | 0 | 60 | Q1 | 6 | 6 | ||||||||
| US-M1-SCINFO-010-M Cryptography and Computer Security | 30 | 0 | 15 | 0 | 0 | 45 | Q1 | 5 | 5 | ||||||||
| Theoretical Computer Science | |||||||||||||||||
| US-M1-SCINFO-067-M Formal Methods for System Design: Foundations | 40 | 15 | 5 | 0 | 0 | 60 | Q1 | 6 | 6 | ||||||||
| US-M1-SCINFO-069-M Formal methods for system design : application | 0 | 0 | 60 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| US-M1-SCINFO-070-M Compilation | 30 | 0 | 30 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| US-M1-SCINFO-004-M Computability and Complexity | 30 | 30 | 0 | 0 | 0 | 60 | Q1 | 6 | 6 | ||||||||
| US-M1-SCINFO-003-M Algorithms and Bioinformatics | 15 | 0 | 30 | 0 | 0 | 45 | Q1 | 5 | 5 | ||||||||
| Software Development | |||||||||||||||||
| US-M1-SCINFO-081-M Real-time computing systems | 18 | 18 | 0 | 0 | 0 | 36 | Q1 | 3 | 3 | ||||||||
| US-M1-SCINFO-001-M Software Evolution | 30 | 15 | 15 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| US-M1-SCINFO-289-M Advanced operating systems | 10 | 30 | 0 | 0 | 0 | 40 | Q2 | 4 | 4 | ||||||||
| Numerical and Statistical Analysis | |||||||||||||||||
| US-M1-SCINFO-018-M Introduction to Numerical Analysis | 30 | 50 | 0 | 0 | 0 | 80 | Q1,Q2 | 8 | 8 | ||||||||
| US-M1-SCINFO-082-M Analyse statistique de données | 15 | 15 | 0 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| US-M1-SCINFO-083-M Simulation | 15 | 15 | 0 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| Multimedia Signal Processing | |||||||||||||||||
| US-M1-SCINFO-027-M Signal processing | 16 | 32 | 0 | 0 | 0 | 48 | Q1 | 5 | 5 | ||||||||
| Sciences and Society | |||||||||||||||||
| US-M1-SCINFO-085-M Computer Science seminar in business management | 0 | 30 | 0 | 0 | 0 | 30 | Q2 | 2 | 2 | ||||||||
| Foreign Languages | |||||||||||||||||
| US-M1-SCINFO-038-M English for scientific communication | 30 | 0 | 0 | 0 | 0 | 30 | Q1,Q2 | 3 | 3 | ||||||||
| Options | 12 | ||||||||||||||||
| Data Science and Artificial Intelligence | |||||||||||||||||
| US-M1-SCINFO-062-M Challenges in artificial intelligence | 12 | 36 | 0 | 0 | 0 | 48 | Q1 | 4 | 4 | ||||||||
| US-M1-SCINFO-061-M Multimedia information retrieval | 18 | 18 | 0 | 0 | 0 | 36 | Q1 | 3 | 3 | ||||||||
| US-M1-SCINFO-060-M Advanced machine learning and deep learning | 30 | 30 | 0 | 0 | 0 | 60 | Q1 | 5 | 5 | ||||||||
| Computer Networks and Security | |||||||||||||||||
| US-M1-SCINFO-052-M Networks for multimedia and the Internet of things | 24 | 12 | 0 | 0 | 0 | 36 | Q1 | 3 | 3 | ||||||||
| US-M1-SCINFO-065-M Network security and management | 28 | 8 | 0 | 0 | 0 | 36 | Q1 | 3 | 3 | ||||||||
| US-M1-SCINFO-066-M Analog and Digital Communications | 12 | 12 | 0 | 0 | 0 | 24 | Q2 | 2 | 2 | ||||||||
| Software Development | |||||||||||||||||
| US-M1-SCINFO-080-M Digital and software expertise project | 12 | 48 | 0 | 0 | 0 | 60 | Q1 | 5 | 5 | ||||||||
| US-M1-SCINFO-079-M Web technologies | 12 | 24 | 0 | 0 | 0 | 36 | Q1 | 3 | 3 | ||||||||
| US-M1-SCINFO-006-M High performance computing | 12 | 12 | 0 | 0 | 0 | 24 | Q1 | 2 | 2 | ||||||||
| US-M1-SCINFO-090-M Cloud computing | 12 | 12 | 0 | 0 | 0 | 24 | Q1 | 2 | 2 | ||||||||
| Numerical and Statistical Analysis | |||||||||||||||||
| US-M1-SCINFO-022-M Exploration et prédiction des données | 15 | 15 | 0 | 0 | 0 | 30 | Q1 | 3 | 3 | ||||||||
| US-M1-SCINFO-084-M Numerical analysis | 30 | 60 | 0 | 0 | 0 | 90 | Q2 | 9 | 9 | ||||||||
| Multimedia Signal Processing | |||||||||||||||||
| US-M1-SCINFO-074-M Visual processing and smart spaces | 24 | 24 | 0 | 0 | 0 | 48 | Q1 | 4 | 4 | ||||||||
| US-M1-SCINFO-073-M Medical image processing | 12 | 24 | 0 | 0 | 0 | 36 | Q2 | 3 | 3 | ||||||||
| US-M1-SCINFO-072-M Image analysis and pattern recognition | 24 | 24 | 0 | 0 | 0 | 48 | Q1 | 4 | 4 | ||||||||
| US-M1-SCINFO-071-M Audio processing | 24 | 24 | 0 | 0 | 0 | 48 | Q2 | 4 | 4 | ||||||||
| US-M1-SCINFO-026-M Speech Processing | 15 | 0 | 0 | 0 | 0 | 15 | Q2 | 2 | 2 | ||||||||
| Optimization and Decision Support | |||||||||||||||||
| US-M1-SCINFO-077-M Nonlinear optimization | 22 | 10 | 0 | 0 | 0 | 32 | Q1 | 3 | 3 | ||||||||
| US-M1-SCINFO-024-M Stochastic Models for Operational Research | 18 | 6 | 0 | 0 | 0 | 24 | Q2 | 2 | 2 | ||||||||
| US-M1-SCINFO-023-M Optimisation et gestion de la production | 12 | 12 | 0 | 0 | 0 | 24 | Q2 | 2 | 2 | ||||||||
| US-M1-SCINFO-075-M Modeling workshops in operational research | 12 | 48 | 0 | 0 | 0 | 60 | Q1 | 5 | 5 | ||||||||
| US-M1-SCINFO-028-M Multi-Criteria Decision Making | 18 | 6 | 0 | 0 | 0 | 24 | Q2 | 3 | 3 | ||||||||
| Entrepreneurship and Creative Technologies | |||||||||||||||||
| US-M1-SCINFO-013-M Entrepreneurship, Creativity and Business Models | 30 | 45 | 0 | 0 | 0 | 75 | Q1,Q2 | 8 | 8 | ||||||||
| US-M1-SCINFO-008-M Management | 30 | 15 | 0 | 0 | 0 | 45 | Q1 | 4 | 4 | ||||||||
| US-M1-SCINFO-033-M Human Resources Management | 30 | 0 | 0 | 0 | 0 | 30 | Q1 | 3 | 3 | ||||||||
| Sciences and Society | |||||||||||||||||
| US-M1-SCINFO-020-M Science and Society | 15 | 0 | 0 | 0 | 0 | 15 | Q2 | 2 | 2 | ||||||||
| US-M1-SCINFO-019-M Philosophy of Science | 20 | 0 | 0 | 0 | 0 | 20 | Q2 | 2 | 2 | ||||||||
| US-M1-SCINFO-100-M seminar of companies | 30 | 0 | 0 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| US-M1-SCINFO-031-M Sustainable Development and Production | 30 | 0 | 0 | 0 | 0 | 30 | Q1 | 3 | 3 | ||||||||
| Foreign Languages | |||||||||||||||||
| Language lessons for non French native speakers | |||||||||||||||||
| US-M1-SCINFO-053-M French as a Foreign Language I | 56 | 0 | 0 | 0 | 0 | 56 | Q1 | 5 | 5 | ||||||||
| US-M1-SCINFO-054-M French as a Foreign Language II | 56 | 0 | 0 | 0 | 0 | 56 | Q2 | 5 | 5 | ||||||||
| Cours spécifique à la finalité spécialisée en artifical intelligence and data analytics | 15 | ||||||||||||||||
| US-M1-INFFSA-001-M Projet en artificial intelligence and data analytics | 0 | 0 | 0 | 0 | 0 | 0 | Y | 15 | 15 | ||||||||
| 60 | |||||||||||||||||
| Bloc 2 | Hours (*) | Term | Credits | Weight. | |||||||||||||
| HT(*) | HTPE(*) | HTPS(*) | HD(*) | HR(*) | Total | ||||||||||||
| Master Thesis | 25 | ||||||||||||||||
| US-M2-SCINFO-001-M Master Thesis in Information Technology | 0 | 0 | 0 | 0 | 0 | 0 | Y | 25 | 25 | ||||||||
| Themes: main options | |||||||||||||||||
| Thématiques : Autres Options | |||||||||||||||||
| Cours spécifique à la finalité spécialisée en artifical intelligence and data analytics | |||||||||||||||||
| US-M2-INFFSA-002-M Stage en artificial intelligence and data analytics | 0 | 0 | 380 | 0 | 0 | 380 | Y | 15 | 15 | ||||||||
| 40 | |||||||||||||||||
| Bloc Complémentaire | Hours (*) | Term | Credits | Weight. | |||||||||||||
| HT(*) | HTPE(*) | HTPS(*) | HD(*) | HR(*) | Total | ||||||||||||
| Extra Courses | 60 | ||||||||||||||||
| US-MC-SCINFO-039-M Databases I | 30 | 25 | 0 | 0 | 0 | 55 | Q1 | 5 | 5 | ||||||||
| US-MC-SCINFO-041-M Software Engineering | 30 | 0 | 30 | 0 | 0 | 60 | Q1 | 6 | 6 | ||||||||
| US-MC-SCINFO-040-M Databases II | 30 | 30 | 0 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| US-MC-SCINFO-042-M Optimisation | 14 | 14 | 0 | 0 | 0 | 28 | Q1 | 3 | 3 | ||||||||
| US-MC-SCINFO-043-M Artificial Intelligence | 30 | 15 | 0 | 0 | 0 | 45 | Q2 | 5 | 5 | ||||||||
| US-MC-SCINFO-044-M Graphs and Combinatorial Optimisation | 36 | 12 | 0 | 0 | 0 | 48 | Q1 | 5 | 5 | ||||||||
| US-MC-SCINFO-045-M Projet de modélisation et d'implémentation | 0 | 30 | 0 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| US-MC-SCINFO-047-M Data Structures II | 30 | 0 | 30 | 0 | 0 | 60 | Q1,Y | 6 | 6 | ||||||||
| US-MC-SCINFO-046-M Networks I | 30 | 0 | 0 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| US-MC-SCINFO-048-M Elementary Mathematics | 0 | 82 | 0 | 0 | 0 | 82 | Q1 | 4 | 4 | ||||||||
| US-MC-SCINFO-049-M Mathematics for Computer Science | 20 | 40 | 0 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| US-MC-SCINFO-050-M Machine learning | 30 | 15 | 0 | 0 | 0 | 45 | Q2 | 5 | 5 | ||||||||
| US-MC-SCINFO-051-M Functional programming | 15 | 0 | 15 | 0 | 0 | 30 | Q1 | 3 | 3 | ||||||||
| 60 | |||||||||||||||||
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Please note, the course titles given here are translations of the original titles and are provided in English for information only. In order to know in which language the course will be taught, please refer to the French page. There, the titles provided in French indicate that the course is taught in French and the titles provided in English indicate that the course is taught in English.