 | Study programme 2024-2025 | Français | |
 | Faculty of Science | ||
| Master's in Computer Science (MONS) (day schedule) |
- Panel Chairperson : Jef WIJSEN
- Panel Secretary : Tom MENS
| Show AAs | |||||||||||||||||
| Bloc 1 | Hours (*) | Term | Credits | Weight. | |||||||||||||
| HT(*) | HTPE(*) | HTPS(*) | HD(*) | HR(*) | Total | ||||||||||||
| Compulsory Courses | 18 | ||||||||||||||||
 US-M1-INFO60-010-M Master Thesis | 0 | 0 | 0 | 0 | 0 | 0 | Y | 18 | 18 | ||||||||
| Themes: main options | 30 | ||||||||||||||||
| Data Science and Artificial Intelligence | |||||||||||||||||
| US-M1-INFO60-023-M Artificial intelligence and graphs | 20 | 10 | 0 | 0 | 0 | 30 | Q1 | 3 | 3 | ||||||||
| US-M1-INFO60-005-M Knowledge representation and reasoning | 24 | 24 | 0 | 0 | 0 | 48 | Q2 | 6 | 6 | ||||||||
| US-M1-INFO60-022-M Advanced Topics in Machine Learning and Data Science | 30 | 30 | 0 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| US-M1-INFO60-024-M Logical programmation | 16 | 0 | 14 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| US-M1-INFO60-070-M Advanced topics in artificial intelligence | 18 | 18 | 0 | 0 | 0 | 36 | Q1 | 3 | 3 | ||||||||
| US-M1-INFO60-071-M Deep Learning for Natural Language and Sequence Processing | 18 | 18 | 0 | 0 | 0 | 36 | Q2 | 4 | 4 | ||||||||
| Computer Networks and Security | |||||||||||||||||
| US-M1-INFO60-008-M Selected topics in computer networking | 24 | 24 | 0 | 0 | 0 | 48 | Q1 | 6 | 6 | ||||||||
| US-M1-INFO60-009-M Cryptography and Computer Security | 24 | 0 | 12 | 0 | 0 | 36 | Q1 | 4 | 4 | ||||||||
US-M1-INFO60-011-M Cybersecurity  | 24 | 24 | 0 | 0 | 0 | 48 | Q2 | 5 | 5 | ||||||||
| US-M1-INFO60-111-M Selected topics in Cybersecurity | 24 | 12 | 12 | 0 | 0 | 48 | Q2 | 5 | 5 | ||||||||
| Theoretical Computer Science | |||||||||||||||||
| US-M1-INFO60-027-M Formal methods for systems design : fundamentals | 30 | 18 | 12 | 0 | 0 | 60 | Q1 | 6 | 6 | ||||||||
| US-M1-INFO60-026-M Formal methods for system design : applications | 0 | 0 | 60 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| US-M1-INFO60-004-M Computability and Complexity | 24 | 24 | 0 | 0 | 0 | 48 | Q2 | 6 | 6 | ||||||||
| Software Development | |||||||||||||||||
| US-M1-INFO60-058-M Real-time computing systems | 20 | 10 | 0 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| US-M1-INFO60-001-M Software Evolution | 24 | 12 | 12 | 0 | 0 | 48 | Q2 | 6 | 6 | ||||||||
| US-M1-INFO60-029-M Advanced operating systems | 6 | 6 | 24 | 0 | 0 | 36 | Q2 | 4 | 4 | ||||||||
| Numerical and Statistical Analysis | |||||||||||||||||
| US-M1-INFO60-030-M Introduction to scientific calculus | 20 | 40 | 0 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| US-M1-INFO60-032-M Simulation | 12 | 0 | 18 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| Multimedia Signal Processing | |||||||||||||||||
| US-M1-INFO60-028-M Signal Processing | 16 | 32 | 0 | 0 | 0 | 48 | Q1 | 5 | 5 | ||||||||
| Sciences and Society | |||||||||||||||||
| US-M1-INFO60-033-M Seminar: IT in new technology monitoring | 0 | 30 | 0 | 0 | 0 | 30 | Q2 | 2 | 2 | ||||||||
| Foreign Languages | |||||||||||||||||
| US-M1-INFO60-034-M English for scientific communication | 30 | 0 | 0 | 0 | 0 | 30 | Q1,Q2 | 3 | 3 | ||||||||
| Themes : other options | 12 | ||||||||||||||||
| Data Science and Artificial Intelligence | |||||||||||||||||
| US-M1-INFO60-039-M AI challenges | 12 | 36 | 0 | 0 | 0 | 48 | Q1 | 4 | 4 | ||||||||
| US-M1-INFO60-038-M Machine & Deep Learning for Multimedia Retrieval | 12 | 12 | 0 | 0 | 0 | 24 | Q2 | 2 | 2 | ||||||||
| US-M1-INFO60-037-M Advanced and Streaming AI | 30 | 30 | 0 | 0 | 0 | 60 | Q1 | 5 | 5 | ||||||||
| Computer Networks and Security | |||||||||||||||||
| US-M1-INFO60-040-M Networks for Multimedia | 24 | 12 | 0 | 0 | 0 | 36 | Q2 | 3 | 3 | ||||||||
| US-M1-INFO60-041-M Network Security | 28 | 8 | 0 | 0 | 0 | 36 | Q1 | 3 | 3 | ||||||||
| US-M1-INFO60-042-M Communications analogiques et numériques | 12 | 12 | 0 | 0 | 0 | 24 | Q2 | 2 | 2 | ||||||||
| Software Development | |||||||||||||||||
| US-M1-INFO60-057-M Software & digital expert assessment project | 12 | 48 | 0 | 0 | 0 | 60 | Q1 | 5 | 5 | ||||||||
| US-M1-INFO60-056-M Base de données Web et Web sémantique | 30 | 40 | 0 | 0 | 0 | 70 | Q2 | 3 | 3 | ||||||||
| US-M1-INFO60-143-M Cloud computing | 12 | 12 | 0 | 0 | 0 | 24 | Q2 | 2 | 2 | ||||||||
| US-M1-INFO60-144-M Web and Multimedia applications (Charleroi) | 42 | 58 | 0 | 0 | 0 | 100 | Q2 | 10 | 10 | ||||||||
| Numerical and Statistical Analysis | |||||||||||||||||
| US-M1-INFO60-059-M Analyse numérique | 30 | 60 | 0 | 0 | 0 | 90 | Q2 | 9 | 9 | ||||||||
| Multimedia Signal Processing | |||||||||||||||||
| US-M1-INFO60-047-M Visual processing and smart spaces | 24 | 24 | 0 | 0 | 0 | 48 | Q1 | 4 | 4 | ||||||||
| US-M1-INFO60-046-M Medical image processing | 16 | 20 | 0 | 0 | 0 | 36 | Q2 | 3 | 3 | ||||||||
| US-M1-INFO60-045-M Computer Vision | 16 | 20 | 0 | 0 | 0 | 36 | Q2 | 3 | 3 | ||||||||
| US-M1-INFO60-043-M Audio and Music Processing | 20 | 16 | 0 | 0 | 0 | 36 | Q1 | 4 | 4 | ||||||||
| US-M1-INFO60-147-M Speech and Language Processing | 12 | 12 | 0 | 0 | 0 | 24 | Q2 | 2 | 2 | ||||||||
| Optimization and Decision Support | |||||||||||||||||
| US-M1-INFO60-052-M Optimisation non linéaire | 22 | 10 | 0 | 0 | 0 | 32 | Q1 | 3 | 3 | ||||||||
| US-M1-INFO60-050-M Models and methods in Data Sciences | 12 | 12 | 0 | 0 | 0 | 24 | Q1 | 2 | 2 | ||||||||
| US-M1-INFO60-048-M Modelling workshops in operational research | 12 | 48 | 0 | 0 | 0 | 60 | Q1 | 5 | 5 | ||||||||
| US-M1-INFO60-051-M Multicriteria help to decision | 12 | 12 | 0 | 0 | 0 | 24 | Q2 | 3 | 3 | ||||||||
| Entrepreneurship and Creative Technologies | |||||||||||||||||
| US-M1-INFO60-007-M Management and organization analysis | 38 | 16 | 0 | 0 | 0 | 54 | Q2,Y | 6 | 6 | ||||||||
| US-M1-INFO60-054-M Human Ressources Management | 12 | 15 | 0 | 0 | 0 | 27 | Q2 | 3 | 3 | ||||||||
| US-M1-INFO60-200-M Entrepreneurship, Creativity and Business Models | 15 | 27 | 0 | 0 | 0 | 42 | Q1 | 4 | 4 | ||||||||
| US-M1-INFO60-201-M Entrepreunership and business plan | 15 | 27 | 0 | 0 | 0 | 42 | Q2 | 4 | 4 | ||||||||
| Sciences and Society | |||||||||||||||||
| US-M1-INFO60-063-M Sciences et société | 15 | 0 | 0 | 0 | 0 | 15 | Q2 | 2 | 2 | ||||||||
| US-M1-INFO60-062-M Sciences Philosophy | 12 | 0 | 0 | 0 | 0 | 12 | Q1 | 2 | 2 | ||||||||
| US-M1-INFO60-064-M Computer sciences right and Ethics | 30 | 0 | 0 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| US-M1-INFO60-061-M Industrial and territorial ecology | 21 | 0 | 0 | 0 | 0 | 21 | Q1 | 2 | 2 | ||||||||
| US-M1-INFO60-153-M Introduction to epistemology | 12 | 0 | 0 | 0 | 0 | 12 | Q1 | 1 | 1 | ||||||||
| Foreign Languages | |||||||||||||||||
| Language lessons for non French native speakers | |||||||||||||||||
| US-M1-INFO60-035-M French foreign language I | 56 | 0 | 0 | 0 | 0 | 56 | Q1 | 5 | 5 | ||||||||
| US-M1-INFO60-036-M French foreign language II | 56 | 0 | 0 | 0 | 0 | 56 | Q2 | 5 | 5 | ||||||||
| Theoretical Computer Science | |||||||||||||||||
| US-M1-INFO60-100-M Competitive programming | 18 | 18 | 0 | 0 | 0 | 36 | Q2 | 2 | 2 | ||||||||
| Cours réservés aux étudiants ayant effectué une passerelle à l'UMONS | |||||||||||||||||
| US-M1-INFO60-072-M Compilation | 27 | 0 | 27 | 0 | 0 | 54 | Q2 | 6 | 6 | ||||||||
| US-M1-INFO60-120-M Introduction to Machine Learning and Data Science | 30 | 30 | 0 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| 60 | |||||||||||||||||
| Bloc Complémentaire | Hours (*) | Term | Credits | Weight. | |||||||||||||
| HT(*) | HTPE(*) | HTPS(*) | HD(*) | HR(*) | Total | ||||||||||||
| Extra Courses | 60 | ||||||||||||||||
| US-MC-INFO60-001-M Data Base I | 30 | 21 | 0 | 0 | 0 | 51 | Q1 | 7 | 7 | ||||||||
| US-MC-INFO60-003-M Data base II | 28 | 24 | 0 | 0 | 0 | 52 | Q2 | 6 | 6 | ||||||||
| US-MC-INFO60-004-M Optimisation linéaire | 14 | 14 | 0 | 0 | 0 | 28 | Q1 | 3 | 3 | ||||||||
| US-MC-INFO60-005-M Artifical intelligence | 30 | 20 | 0 | 0 | 0 | 50 | Q1 | 6 | 6 | ||||||||
| US-MC-INFO60-006-M Graphs and combinatorial optimization | 42 | 18 | 0 | 0 | 0 | 60 | Q1 | 5 | 5 | ||||||||
| US-MC-INFO60-008-M Data structure II | 24 | 0 | 30 | 0 | 0 | 54 | Q1,Y | 6 | 6 | ||||||||
| US-MC-INFO60-009-M Computer Networks | 30 | 0 | 0 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| US-MC-INFO60-010-M Elementary Mathematics | 0 | 60 | 12 | 0 | 0 | 72 | Q1 | 6 | 6 | ||||||||
| US-MC-INFO60-011-M Linear algebra | 24 | 36 | 0 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| US-MC-INFO60-013-M fonctional programming | 18 | 0 | 18 | 0 | 0 | 36 | Q2 | 3 | 3 | ||||||||
| US-MC-INFO60-014-M Probability | 24 | 12 | 0 | 0 | 0 | 36 | Q2 | 3 | 3 | ||||||||
| US-MC-INFO60-015-M Object-oriented software modelling | 18 | 12 | 0 | 0 | 0 | 30 | Q1 | 3 | 3 | ||||||||
| US-MC-INFO60-016-M Model-driven development | 8 | 16 | 0 | 0 | 0 | 24 | 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.