first year
While the built-up of the programme is guided by certain rules, the programme offers ample opportunity to take electives. Your choice of electives will partly depend on which specialisation you choose. Therefore, the educational profile of the programme is characterised on the one hand by the three specialisations within the programme and on the other hand by the attention paid to mathematical modelling.
Second year
For the specialisations SACS, MOR and MDS, your second year starts with an internship, a period of practical training that takes place outside the university. The internship has a workload of 20 EC and has opportunities to be carried out abroad. The remaining 40 EC of the second year are devoted to your Graduation Project, which includes a literature review.
For the specialisation AI4Health, you take a few more courses, possibly together with a couple of case studies and then finally, execute a 30 EC Graduation Project at a health-related institution outside the university.
During the execution of your graduation project you are given the greatest opportunity to demonstrate that you have acquired the qualities outlined in the final qualifications of the programme on a research topic related to your chosen specialisation.
Courses
Core (17 credits)
Obligatory courses for all Applied Mathematics students:
- Continuous Optimisation (Mastermath) (6 EC)
- Scientific Computing (6 EC)
- Pioneers of Applied Mathematics (5 EC)
Mathematical Systems Theory, Applied Analysis and Computational Science
Extra core courses for the specialisation in Mathematical Systems Theory, Applied Analysis and Computational Science:
Mandatory courses | Electives |
Applied Functional Analysis - 6 credits | Time Series Analysis - 5 credits |
Optimal Control - 5 credits | Systems & Control - 6 credits |
Finite Element Methods: theory and applications - 6 credits | Numerical Techniques for PDE - 5 credits |
Introduction to Partial Differential Equations - 5 credits | |
Robust Control - 5 credits | |
Partial Differential Equations - 6 credits | |
Nonlinear Dynamics - 5 credits | |
Inverse Problems in Imaging - 5 credits | |
Measure & Probability - 5 credits |
Operations Research
Extra core courses for the specialisation in Operations Research:
Mandatory: Three out of eight courses | Electives |
Discrete Optimisation - 6 credits | Complex Networks - 5 credits |
Measure & Probability - 5 credits | Limits to Computing - 5 credits |
Mixed-Integer Optimisation - 5 credits | Information Theory and Statistics - 5 credits |
Game Theory - 5 credits | Scheduling - 6 credits |
Markov Decision Theory - 5 credits | Spatial Statistics - 5 credits |
Stochastic Processes - 5 credits | Applied Statistics - 6 credits |
Queueing Theory - 6 credits | Capita Selecta OR - 5 credits |
Applied Queueing Models - 5 credits |
Mathematics of Data Science
Extra core courses for the specialisation in Mathematics of Data Science:
Mandatory, three out of six | Advanced courses: at least three courses |
Deep Learning – From Theory to Practice - 5 credits | Discrete Optimisation - 5 credits |
Complex Networks - 5 credits | Markov Decision Theory and Algorithmic Methods - 5 credits |
Machine Learning 1 - 5 credits | Data Science - 5 credits |
Statistical Learning - 5 credits | Applied Statistical Learning - 5 credits |
Information Theory and Statistics - 5 credits | Capita Selecta Statistics - 5 credits |
Spatial Statistics - 5 credits |
Artificial Intelligence for Health
Extra core courses for the specialisation in Artificial Intelligence for Health:
Mandatory, added by two out of five marked ** | Electives |
Machine Learning 1 - 5 credits | Applied Statistical Learning - 5 credits |
Deep Learning – From Theory to Practice - 5 credits | Complex Networks - 5 credits |
Markov Decision Theory and Algorithmic Methods - 5 credits | Information Theory and Statistics - 5 credits |
Statistical Learning - 5 credits | Optimisation of Healthcare Processes - 5 credits |
Mixed-Integer Optimisation** - 5 credits | Imaging Techniques - 5 credits |
Deep Learning Medical Image Analysis** - 5 credits | Inverse Problems in Imaging - 6 credits |
Graphical Models and Causality** - 5 credits | Optimal Control - 5 credits |
Uncertainty Quantification and Data-driven Modeling** - 5 credits | Capita Selecta Statistics - 5 credits |
Reinforcement Learning** - 5 credits |
Electives (28 credits)
Selection of 28 credits according to your preference and within the framework of the chair.
Course programmes are provided within specialisations and can be found here.
Mastermath
The Departments of Mathematics of the Dutch universities have combined their efforts to enhance their Master's in mathematics. Part of the cooperation is aimed at organising joint courses in mathematics. These courses offer you the highest quality of instruction and open up opportunities for interaction with students of other institutes of mathematics. In our master's you will take two or more courses that are offered by Mastermath.
More about Mastermath on the website.