 | Study programme 2024-2025 | Français | |
 | Faculty of Science | ||
| Master's in Computer Science : Specialist Focus on Artificial Intelligence and Data Analytics (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 | ||||||||||||
| Thématiques | |||||||||||||||||
| Computer Networks and Security | |||||||||||||||||
 US-M1-SCINFO-009-M Selected topics in computer networking | 24 | 24 | 0 | 0 | 0 | 48 | Q1 | 6 | 6 | ||||||||
| US-M1-SCINFO-010-M Cryptography and Computer Security | 24 | 0 | 12 | 0 | 0 | 36 | Q1 | 4 | 4 | ||||||||
US-M1-SCINFO-050-M Cybersecurity  | 24 | 24 | 0 | 0 | 0 | 48 | Q2 | 5 | 5 | ||||||||
| US-M1-SCINFO-150-M Selected topics in Cybersecurity | 24 | 12 | 12 | 0 | 0 | 48 | Q2 | 5 | 5 | ||||||||
| Data Science and Artificial Intelligence | |||||||||||||||||
| US-M1-SCINFO-056-M Logic programming | 16 | 0 | 14 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| US-M1-SCINFO-058-M Advanced Topics in Machine Learning and Data Science | 30 | 30 | 0 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| US-M1-SCINFO-002-M Artificial Intelligence and graphs | 20 | 10 | 0 | 0 | 0 | 30 | Q1 | 3 | 3 | ||||||||
| US-M1-SCINFO-500-M Knowledge representation and reasoning | 24 | 24 | 0 | 0 | 0 | 48 | Q2 | 6 | 6 | ||||||||
| US-M1-SCINFO-501-M Deep Learning for Natural Language and Sequence Processing | 18 | 18 | 0 | 0 | 0 | 36 | Q2 | 4 | 4 | ||||||||
| US-M1-SCINFO-502-M Advanced topics in artificial intelligence | 18 | 18 | 0 | 0 | 0 | 36 | Q1 | 3 | 3 | ||||||||
| Theoretical Computer Science | |||||||||||||||||
| US-M1-SCINFO-067-M Formal Methods for System Design: Foundations | 30 | 18 | 12 | 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-004-M Computability and Complexity | 24 | 24 | 0 | 0 | 0 | 48 | Q2 | 6 | 6 | ||||||||
| Software Development | |||||||||||||||||
| US-M1-SCINFO-081-M Real-time computing systems | 20 | 10 | 0 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| US-M1-SCINFO-001-M Software Evolution | 24 | 12 | 12 | 0 | 0 | 48 | Q2 | 6 | 6 | ||||||||
| US-M1-SCINFO-289-M Advanced operating systems | 6 | 6 | 24 | 0 | 0 | 36 | Q2 | 4 | 4 | ||||||||
| Numerical and Statistical Analysis | |||||||||||||||||
| US-M1-SCINFO-018-M Introduction to scientific calculus | 20 | 40 | 0 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| US-M1-SCINFO-083-M Simulation | 12 | 0 | 18 | 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 Seminar: IT in new technology monitoring | 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 | |||||||||||||||||
| 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 Machine & Deep Learning for Multimedia Retrieval | 12 | 12 | 0 | 0 | 0 | 24 | Q2 | 2 | 2 | ||||||||
| US-M1-SCINFO-060-M Advanced and Streaming AI | 30 | 30 | 0 | 0 | 0 | 60 | Q1 | 5 | 5 | ||||||||
| Computer Networks and Security | |||||||||||||||||
| US-M1-SCINFO-052-M Networks for Multimedia | 24 | 12 | 0 | 0 | 0 | 36 | Q2 | 3 | 3 | ||||||||
| US-M1-SCINFO-065-M Network security | 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-090-M Cloud computing | 12 | 12 | 0 | 0 | 0 | 24 | Q2 | 2 | 2 | ||||||||
| US-M1-SCINFO-091-M Web and Multimedia applications (Charleroi) | 42 | 58 | 0 | 0 | 0 | 100 | Q2 | 10 | 10 | ||||||||
| Numerical and Statistical Analysis | |||||||||||||||||
| 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 | 16 | 20 | 0 | 0 | 0 | 36 | Q2 | 3 | 3 | ||||||||
| US-M1-SCINFO-072-M Computer Vision | 16 | 20 | 0 | 0 | 0 | 36 | Q2 | 3 | 3 | ||||||||
| US-M1-SCINFO-171-M Speech and Language Processing | 12 | 12 | 0 | 0 | 0 | 24 | 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 Models and methods in Data Sciences | 12 | 12 | 0 | 0 | 0 | 24 | Q1 | 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 | 12 | 12 | 0 | 0 | 0 | 24 | Q2 | 3 | 3 | ||||||||
| Entrepreneurship and Creative Technologies | |||||||||||||||||
| US-M1-SCINFO-008-M Management and organization analyses | 38 | 16 | 0 | 0 | 0 | 54 | Q2,Y | 6 | 6 | ||||||||
| US-M1-SCINFO-033-M Human Resources Management | 12 | 15 | 0 | 0 | 0 | 27 | Q2 | 3 | 3 | ||||||||
| US-M1-SCINFO-200-M Entrepreneurship, Creativity and Business Models | 15 | 27 | 0 | 0 | 0 | 42 | Q1 | 4 | 4 | ||||||||
| US-M1-SCINFO-201-M Entrepreneurship and business plan | 15 | 27 | 0 | 0 | 0 | 42 | Q2 | 4 | 4 | ||||||||
| 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 | 12 | 0 | 0 | 0 | 0 | 12 | Q1 | 2 | 2 | ||||||||
| US-M1-SCINFO-100-M seminar of companies | 30 | 0 | 0 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| US-M1-SCINFO-031-M Industrial and territorial ecology | 21 | 0 | 0 | 0 | 0 | 21 | Q1 | 2 | 2 | ||||||||
| US-M1-SCINFO-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-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 | ||||||||
| Theoretical Computer Science | |||||||||||||||||
| US-M1-SCINFO-055-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-SCINFO-120-M Introduction to Machine Learning and Data Science | 30 | 30 | 0 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| US-M1-SCINFO-070-M Compilation | 27 | 0 | 27 | 0 | 0 | 54 | Q2 | 6 | 6 | ||||||||
| Cours spécifique à la finalité spécialisée en artifical intelligence and data analytics | 12 | ||||||||||||||||
| US-M1-INFFSA-300-M Reading and scientific communication in AI & DA | 0 | 0 | 0 | 0 | 0 | 0 | Y | 6 | 6 | ||||||||
| US-M1-INFFSA-301-M Advanced Topics in Machine Learning and Data Science | 30 | 30 | 0 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| 228 | |||||||||||||||||
| 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 | ||||||||
| Enseignements optionnels | 17 | ||||||||||||||||
| Themes: main options | |||||||||||||||||
| Thématiques : Autres Options | |||||||||||||||||
| Cours spécifique à la finalité spécialisée en artifical intelligence and data analytics | 18 | ||||||||||||||||
US-M2-INFFSA-002-M Stage en artificial intelligence and data analytics  | 0 | 0 | 380 | 0 | 0 | 380 | Y | 18 | 18 | ||||||||
| 60 | |||||||||||||||||
| Bloc Complémentaire | Hours (*) | Term | Credits | Weight. | |||||||||||||
| HT(*) | HTPE(*) | HTPS(*) | HD(*) | HR(*) | Total | ||||||||||||
| Extra Courses | 60 | ||||||||||||||||
| US-MC-SCINFO-039-M Databases I | 30 | 21 | 0 | 0 | 0 | 51 | Q1 | 7 | 7 | ||||||||
| US-MC-SCINFO-040-M Databases II | 28 | 24 | 0 | 0 | 0 | 52 | Q2 | 6 | 6 | ||||||||
| US-MC-SCINFO-042-M Optimisation linéaire | 14 | 14 | 0 | 0 | 0 | 28 | Q1 | 3 | 3 | ||||||||
| US-MC-SCINFO-043-M Artificial Intelligence | 30 | 20 | 0 | 0 | 0 | 50 | Q1 | 6 | 6 | ||||||||
| US-MC-SCINFO-044-M Graphs and Combinatorial Optimisation | 42 | 18 | 0 | 0 | 0 | 60 | Q1 | 5 | 5 | ||||||||
| US-MC-SCINFO-047-M Data Structures II | 24 | 0 | 30 | 0 | 0 | 54 | Q1,Y | 6 | 6 | ||||||||
| US-MC-SCINFO-046-M Computer Networks | 30 | 0 | 0 | 0 | 0 | 30 | Q2 | 3 | 3 | ||||||||
| US-MC-SCINFO-048-M Elementary Mathematics | 0 | 60 | 12 | 0 | 0 | 72 | Q1 | 6 | 6 | ||||||||
| US-MC-SCINFO-049-M Linear algebra | 24 | 36 | 0 | 0 | 0 | 60 | Q2 | 6 | 6 | ||||||||
| US-MC-SCINFO-051-M Functional programming | 18 | 0 | 18 | 0 | 0 | 36 | Q2 | 3 | 3 | ||||||||
| US-MC-SCINFO-052-M Probability | 24 | 12 | 0 | 0 | 0 | 36 | Q2 | 3 | 3 | ||||||||
| US-MC-SCINFO-053-M Object-oriented software modelling | 18 | 12 | 0 | 0 | 0 | 30 | Q1 | 3 | 3 | ||||||||
| US-MC-SCINFO-054-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.