Data Science Track

This track focuses on the analysis and interpretation of data to understand complex systems and relationships, suitable for those interested in studying interconnected phenomena.

First Semester

30

Mandatory

24

Numerical Algorithms

6

High-Performance Computing

6

Introduction to Data Science

6

Introduction to Programming (Python)

6

Electives

6

Introduction to Ordinary Differential Equations

3
Scattered Data Approximation
or
Artificial Intelligence
3
or
6
   

Second Semester

30

Mandatory

18

Graphical Models and Network Science

6

Effective HPC & Data Analytics

6

Stochastic Methods

6

Electives

12

Graph Deep Learning or Data Analytics

6

Other

6

   

Third Semester

30

Mandatory

24

Master Thesis Preparation

6

Advanced Topics in Machine Learning

6

Analysis of Social Networks

6

Bioinformatics

6

Electives

6

   

Fourth Semester

30

Mandatory

24

Master Thesis

24

Electives

6

Please be aware that slight changes in the study programme may occur.

For students who require special provisions, modifications to the track curriculum can be arranged following discussions with MCS Study Coordination and program director(s).

Other specialised Tracks: