Are you a current student? For the programme of this academic year, check the course guide.

Applied Mathematics

The Applied Mathematics track covers the modern theory and techniques needed to model, analyse and investigate phenomena in real life applications. You can choose from a wide range of courses in Applied Analysis, Applied Stochastics, and Numerics and Computation. The Mathematics department has a strong connection with other fields such as biology, physics, medicine, neuroscience.

About this study curriculum

The Mathematics department has a broad expertise in applied mathematics, in particular, in analysis, computation, data, modelling and stochastics. As such, within this track you can choose from a wide range of courses in:

  • Applied Analysis: e.g. Calculus of Variations, Mathematical Biology, Optimal Transport, Partial Differential Equations
  • Applied Stochastics: e.g. Biostatistics, Martingales and Large Deviations, Probabilistic Combinatorics, Regression Analysis and Non-Parametric Statistics
  • Numerics and Computation: e.g. Finite Elements, Monte Carlo Methods, Numerical Linear Algebra, Stochastic Simulation

Typical fields of applications are: Bioscience (e.g. cell-biology, thin-films, neuroscience, tumor growth, epidemiology), Wave propagation (e.g. for high-intensity ultrasound, marine reserves), Geosciences (e.g. porous-media flow, volcanology), Material science (e.g. pattern formation, phase transitions), Imaging science (e.g. reconstruction of damaged images, noise reduction).

Course guide

The course overview is an indication of the study programme of the academic year 2024-2025. Are you a current student, please consult the online course guide for your course overview.

COURSE GUIDE

Course overview

The structure of the Applied Mathematics track is as follows:

  • Compulsory courses (8 EC)
  • Track electives (40 EC)
  • Other electives (32 EC):
          - Mathematical electives (14 EC)
          - Master electives (12 EC)
          - Free electives (6 EC)
  • Master's thesis Mathematics (40 EC)
Compulsory courses
P1
P2
P3
P4
  1. P1
  2. P2
  3. P3
  4. P4
Philosophy course
3 EC
  1. P1
  2. P2
  3. P3
  4. P4

For your philosophy course, you can choose one from this list of science philosophy electives.

Elective courses
P1
P2
P3
P4

1:

Total number EC: 8 EC
Mastermath: Measure Theoretic Probability
8 EC
  1. P1
  2. P2
Mastermath: Numerical Linear Algebra
8 EC
  1. P1
  2. P2
Mastermath: Calculus of Variations
8 EC
  1. P3
  2. P4

2:

Total number EC: 8 EC
  1. P3
  2. P4
Mastermath: Optimal Transport
8 EC
  1. P3
  2. P4

3:

Total number EC: 8 EC
  1. P1
  2. P2

4:

Total number EC: 8 EC
Mastermath: Mathematical Biology
8 EC
  1. P1
  2. P2
Mastermath: Asymptotic Statistics
8 EC
  1. P1
  2. P2

5:

Total number EC: 6 EC
Mastermath: Forensic Probability and Statistics
8 EC
  1. P3
  2. P4
  1. P3
  2. P4

6:

Total number EC: 8 EC
Mastermath: Numerical Bifurcation Analysis of Large-scale Systems
8 EC
  1. P3
  2. P4

7:

Total number EC: 8 EC
Mastermath: Partial Differential Equations
8 EC
  1. P1
  2. P2

You need to choose courses from different 'categories', indicated with a number. If you are interested in more than one course per category, you can always choose them as elective courses. Some of the courses are taught biennially.

The full Mastermath course schedule can be found on the Mastermath's website.

Free electives
P1
P2
P3
P4
Mathematical electives
14 EC
  1. P1
  2. P2
  3. P3
  4. P4
Master electives
12 EC
  1. P1
  2. P2
  3. P3
  4. P4
Free electives
6 EC
  1. P1
  2. P2
  3. P3
  4. P4

Besides your track electives, you need to choose up to 32 EC of other electives:

  • 14 EC should be Mathematical courses at Master level
  • 12 EC can be from any field within or outside of Mathematics at Master level
  •  6 EC can be any course at university level
Thesis & research
P1
P2
P3
P4