Simulations Track

Centres on the development and interpretation of simulations, applicable in diverse fields such as engineering and biomedical research.

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

24

Discretization Methods

6

Scientific Learning

6

Particle Methods

6

Stochastic Methods

6

Electives

6

   

Third Semester

30

Mandatory

12

Master Thesis Preparation

6

Algorithms & Complexity

6

Electives

18

   

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: