The 120-credit Master in Data Science programme consists of the following items.
A common curriculum of 46 credits, including a final thesis and teaching units in:
- Databases
- Machine Learning
- Statistics
- A seminar
- Professional integration work.
One focus of 30 credits will be taken among a choice of two:
- The data analytics focus offers a range of algorithmic and statistical methods for data mining, learning, and visualization of large data sets.
- The cybersecurity focus is structured around 5 pillars: cryptography, hardware, software and system security, and privacy, as well as an introduction to information theory.
Elective courses and/or options are chosen so as to reach at least 120 credits.
To the 120-credit programme may be added an additional preparatory module for students who do not have all the prerequisites for the Master. These teaching units will be selected with the study advisor.
For a programme-type, and regardless of the focus, options/or elective courses selected, this master will carry a minimum of 120 credits divided over two annual units, corresponding to 60 credits each.