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Applied Mathematics (core track) and Mathematics of Data Science (synergy track)

This 120 EC research specialisation is built up as follows:

A. Track electives 30 EC
B. Mathematical electives 18 EC
C. Master electives 15 EC
D. Master Thesis Project Mathematics 40 EC
E. Master Seminar 6 EC
F. Professional Preparation 2 EC
G. Philosophy 3 EC
H. Free electives 6 EC

Overall, a maximum of 12 ec of third year bachelor's courses in Mathematics is allowed, to be approved by the examination board.

A. Track electives (30 EC)

Forthe core track Applied Mathematics choose at least 30 EC from the list of track electives below. You have to choose courses from different rows. If you are interested in more than one course per row, you can always choose them as elective courses. Note that some of the courses are taught biennially.

Course information and schedules for the Mastermath courses may be found on the Mastermath website.

Tabel 1: Track electives Applied Mathematics

1. NWI-WM144 Calculus of Variations (6 EC), semester 2
Mastermath: Measure Theoretic Probability (8 EC)
Mastermath: Numerical Linear Algebra (8 EC)
2. NWI-WM246 Optimal Transport (6 EC), semester 2*
NWI-WM160 Gamma-Convergence (6 EC), semester 1
3. NWI-WM126 Biostatistics (6 EC), semester 1
NWI-WM098B Regression Analysis and Non-Parametric Statistics (6 EC)*
4. Mastermath: Mathematical Biology (8 EC)
Mastermath: Asymptotic Statistics (8 EC)
NWI-WM156 Introduction to Finite Elements (6 EC)*
5. NWI-WM255 Probabilistic Combinatorics (6 EC), semester 2
NWI-WM161 Monte Carlo Methods (6 EC), semester 2
6. NWI-WM152 Martingales and Large Deviations (6 EC), semester 1
Mastermath: Numerical Bifurcation Analysis of Large-scale Systems
7. NWI-WM153 Nonlinear Wave Equations (6 EC), semester 2
NWI-WM151 Stochastic Simulation (6 EC), semester 1
Mastermath: Partial Differential Equations (8 EC)

* not taught in 2021/2022

For the synergy track Mathematics and Data Science the course NWI-WM098B Regression Analysis and Non-Parametric Statistics (6 EC) is mandatory and you need to choose two courses from two different rows from Table 1. In addition, you have to choose 12 EC out of the list of mandatory electives:

  • Mastermath: Machine Learning Theory (8 EC)
  • NWI-IMC030 Machine Learning in Practice (6 EC)
  • NWI-NM048D Machine Learning (3 EC) + NWI-NM047D Computational Neuroscience (3 EC) OR NWI-NM048B Advanced Machine Learning (6 EC)
  • NWI-NM127 Modelling of Complex Real-world Systems (6 EC)

B. Mathematical electives (18 EC)

Mathematical electives are courses within the field of Mathematics on Master's level. The mathematical electives need to be approved by the Examination Board.

C. Master electives (14 EC)

Master's level courses in any field within or outside of Mathematics. You can also consider courses from the societal specialisations. These electives need to be approved by the Examination Board.

D. Master Thesis Project Mathematics (40 EC)

Including a literature study, a thesis (which can be an internship report) and a graduation defense.

E. NWI-WM115C Master seminar (6 EC)

The Master seminar should be taken in the first year of the master's programme.

F.  NWI-WM301 Professional Preparation for Math (2 EC)

G. Philosophy (3 EC)

One of the following courses should be completed:

H. Free electives (6 EC)

Free electives are any courses, not necessarily within the field of Mathematics.