Areas of specialization

Through your choice of electives, you can either opt for a broad profile or specialise in one of the following research areas within Applied Mathematics.

Each specialisation profile consists of a number of elective courses and projects, which we recommend you choose from if you wish to specialise in the relevant research area.

To the extent possible, we aim to ensure that courses within the same area of specialization do not overlap in times of classes if you follow the recommended course of study within the standard time limits.

Computational Science is a branch of mathematics that deals with efficient numerical solutions to mathematically formulated models. This could be, for example, optimising a financial portfolio, calculating the flow of air around a car, or weather forecasts.

Please note that some of the recommended courses may not be offered every year.

Autumn

We recommend that you choose MM834: Partial differential equations: theory, modelling and simulation (10 ECTS) if you haven't already passed an equivalent course as part of your Bachelor's degree.

Additionally, we recommend the following course:

DM871: Linear and Integer Programming (5 ECTS)
DM872: Mathematical Optimization at Work (5 ECTS)
MM802: Stochastic differential equations I (10 ECTS)
MM831: Differential equations II (5 ECTS)
MM836: Convex analysis (5 ECTS)

Spring

DM8100: High Performance Computing (10 ECTS)
MM850: Complexity and Computability (10 ECTS)
MM852: Computational option pricing, part 1 (5 ECTS)
MM862: Selected topics in numerical analysis II (5 ECTS)
MM863: Selected topics in numerical analysis I (5 ECTS)

Please note that some of the recommended courses may not be offered every year.

Autumn

We recommend that you choose MM835: Probability theory (10 ECTS) if you haven't already passed an equivalent course as part of your Bachelor's programme.

Additionally, we recommend the following courses: