Master of Data Science

The Master combines a structured first year that lays foundations in several disciplines with a more open curriculum for the second year, in which students have the possibility to choose courses, workshops as well as their internship and master thesis topic in view of a future professional specialisation.

Part-time programme

Upon request – development of a study plan which must be validated by the course director
Duration of the study program: 4 years instead of 2 years
When?
- Course will take place during the day (between 08.00 am and 05.00 pm) together with the full-time students.
- No evening course will be proposed.

You can find more Information by clicking HERE

MADS Course Schedule WS 2022/2023:

Schedule MADS SS 2022-2023 - Semester 2.pdf 149,98 kB

Refresher Course:

Two refresher courses entitled:

Basic Algebra with Applications to Data Anaylsis (16TU)
Analysis (32TU)

will be offered to students of the Master of Data Science from 4 to 15 September. These courses are not compulsory and aim at filling possible gaps in Algebra and Analysis.

We strongly recommend that students take these courses in order to be well prepared for the courses of the winter semester.

Teaching language: EN

Schedule: will be added soon

Course description:

Basic Algebra with appli Data Analysis_WS 22-23.pdf 261,32 kB

Semestre 1 (Winter 2023-2024)

		CM (hours)	TD (hours)	ECTS
TOTAL (mandatory / optional)		0 / 0	0 / 0	0 / 0
Optimization and Numerical Probabilities [MA_DS-2]	Module 1 Mathematics for Data Science	60		5
Signal processing [MA_DS-3]	Module 1 Mathematics for Data Science		30	3
Probability Theory [MA_DS-31]	Module 1 Mathematics for Data Science	60		5
Programming with R and PYTHON [MA_DS-4]	Module 2 Programming, Data Management and Visualization	60		5
NoSQL Databases & Cloud Computing [MA_DS-5]	Module 2 Programming, Data Management and Visualization	45		5
Data visualization [MA_DS-6]	Module 2 Programming, Data Management and Visualization	30		3
Introduction to Graph Theory [MA_DS-8]	Module 3 Transversal courses	30		3
Applied Philosophy of Science and Data Ethics [MA_DS-7]	Module 3 Transversal courses	30		3

Semestre 2 (Summer 2022-2023)

		CM (hours)	TD (hours)	ECTS
TOTAL (mandatory / optional)		0 / 0	0 / 0	0 / 0
Fundamentals of Statistical Learning [MA_DS-9]	Module 4 Mathematics for Statistical Learning	60		5
Resampling methods and estimator selection [MA_DS-10]	Module 4 Mathematics for Statistical Learning	60		5
High Dimensional Statistics [MA_DS-11]	Module 4 Mathematics for Statistical Learning	60		5
Big Data Analytics [MICS2-41]	Module 5 Big Data Analytics	30	30	5
Introduction to Machine Learning Methods and Data Mining [MA_DS-13]	Module 6 Introduction to Machine Learning Methods and Data Mining		60	5
Introduction to Biology for Data Scientists [MA_DS-14] (optionnel)	Module 7 Optional courses	60		5
Advanced Statistics [MA_DS-15] (optionnel)	Module 7 Optional courses	60		5
Prototyping with Deep-Learning [MA_DS-16] (optionnel)	Module 7 Optional courses		60	5

Semestre 3 (Winter 2023-2024)

		CM (hours)	TD (hours)	ECTS
TOTAL (mandatory / optional)		0 / 0	0 / 0	0 / 0
Fundamentals of causal learning [MICS2-49] (optionnel)	Module 8 Advanced courses	30		4
Computational Methods [MCMP-21] (optionnel)	Module 8 Advanced courses	30	15	4
Introduction to Deep Learning for Image Analysis and Computer Vision - Applications in Medical Imaging [MA_DS-19] (optionnel)	Module 8 Advanced courses	60		5
Network Analysis in Life Sciences [MA_DS-20] (optionnel)	Module 8 Advanced courses	60		5
Analysis of Complex Networks [MA_DS-21] (optionnel)	Module 8 Advanced courses		60	5
Parallel and Grid Computing [MICS-COMMSYST-024] (optionnel)	Module 8 Advanced courses	16	15	4
Bayesian Statistics [MA_DS-22] (optionnel)	Module 8 Advanced courses	60		5
Functional Analysis [F1_MA_MAT_MMCS2-2] (optionnel)	Module 8 Advanced courses	45	15	6
Advanced topics in applied Machine Learning [MA_DS-23] (optionnel)	Module 8 Advanced courses	40	20	5
Natural Language Processing in Data Science [MA_DS-29] (optionnel)	Module 8 Advanced courses	30		5
Nonparametric Statistics [MA_DS-18] (optionnel)	Module 8 Advanced courses	60		5
Workshop I "Actuarial Science" [MA_DS-24]	Module 9 Workshops	60		5
Workshop II "Practical Data Science for the Public Sector: Reproducible Pipelines and Time Series Forecasting" [MA_DS-25]	Module 9 Workshops	60		5