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Programme of Applied Stochastics

Master’s specialisation in Applied Stochastics

The Master’s specialisation in Applied Stochastics is taught at the Faculty of Science. It has a course load of 120 EC* (two years). In the standard research specialisation students must take a total of 24 EC of Mastermath courses (in the three societal specialisations this total consists of only 12 EC). Although the courses may differ per academic year, the core topics of Applied Stochastics remain rather constant.

The structure of your programme is as follows:

Art of course Course EC Time period
Compulsory courses

Regression Analysis and Non-parametric statistics

6 EC Year 1


6 EC Year 1

Master seminar

3 EC Year 1

Philosophy of Mathematics

3 EC Year 1 or 2
Major electives A total of 15 EC Year 1 & 2
Minor electives A total of 24 EC Year 1 & 2
Mathematical electives A total of 16 EC Year 1 & 2
Free electives A total of 6 EC Year 1 & 2

Professional Preparation

1 EC Year 1

Master's Thesis

40 EC Year 2

Compulsory major courses Applied Stochastics

Major courses

Your Major courses are a self-selected set of courses that are related to the field of Applied Stochastics.

Minor courses

Your Minor courses are a self-determined set of coherent courses within Mathematics in general or even within another field of interest.

Mathematical electives

Mathematical electives are courses of choice within the field of Mathematics.

Free electives

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

Please note

Your study advisor or the specialisation coordinator will help you choose your courses, and that your chosen set of courses will need to be approved by the Examination Board. This programme will help you construct a Master’s programme that suits your professional and academic interests.

Core topics of Applied Stochastics

In general, the core of the programme for the Applied Stochastics specialisation consists of the following topics, which are taught in courses either locally at the Radboud University, Radboud university medical centre or as part of the Mastermath programme:

Courses that would prepare for a more theoretical thesis:

  • Interacting Particle Systems
  • Quantum Probability
  • Asymptotic Bayesian Statistics
  • Stochastic Differential Equations
  • Stochastic Processes
  • Time Series
  • Measure-Theoretic Probability
  • Asymptotic Statistics

Courses that would prepare for a more applied thesis:

* European Credit Transfer System (ECTS)
The workload of an academic year is equivalent to 60 European credits (EC), where 1 EC point is 28 hours of study.