Study programme

The Master’s programme in Mathematics takes two years and is taught at the Faculty of Science. The curriculum is highly flexible and can be tailored based on your interests. You start by choosing one of six tracks and can specialise even further based on your preferences and background. 

    Curriculum

    • Curriculum of Mathematics

      The Master's programme of Mathematics has a course load of 120 ECTS and takes two years. The content of your programme depends on the track you choose. There are a few compulsory courses every student takes, but the rest of the programme is filled with electives. You end the programme with a Master's thesis project.

      View curriculum

    Study abroad

    During your Master's programme, you will have the opportunity to go abroad for your studies, internship and/or thesis. You will learn to look at things from the perspective of a different culture and you will meet new people; it is an experience that will enrich your life. What’s more, it will look great on your CV. Please see the Radboud International web page for information about meetings, scholarships, internships and other practical information.

    Additional challenge

    Do you want an extra challenge during your studies? Do you find it interesting to think about current, social themes from different academic perspectives? Discover what the Radboud Honours Academy has to offer to achieve your maximum potential during your time as a student.

    Tracks

    As a student in this Master’s specialisation you can choose one of the core tracks or, if you're interested in an interdisciplinary programme, you can choose one of the synergy tracks that interconnect mathematics with other fields of science.

    Core tracks: Pure Mathematics, Applied Mathematics, Mathematical Physics
    Synergy tracks: Mathematics of Computer Science, Mathematics and Data Science, Gravity+

    Pure Mathematics

    Pure Mathematics

    Pure Mathematics is primarily concerned with questions that originate from inside mathematics and is often viewed as the field of most abstract mathematical thinking. This track covers a very broad range of core areas including algebra, analysis, geometry, topology, number theory, and logic. 

    Applied Mathematics

    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.

    Mathematical Physics

    Mathematical Physics

    The Mathematical Physics core track will bring you up-to-date in modern mathematical physics, and prepares you for research in one (or both) of the two great fundamental theories of physics, namely general relativity and quantum (field) theory.

    Mathematics of Computer Science

    Mathematics of Computer Science

    The synergy track Mathematics of Computer Science focuses on many common themes that pure mathematics shares with theoretical computer science. From the foundations in logic, on which proof assistants are built, the theory of algorithms and their complexity, right to the implementation of algebraic objects in computer algebra and their application to cryptography.

    Mathematics and Data Science

    Mathematics and Data Science 

    In this track you study the modern disciplines in computational modelling and data science that play an increasingly important role in modern science as well as in industry and society. It interconnects applied mathematics with specialisations in physics and computer science. Important research topics are Data Analysis, Machine Learning, and Computational Modelling.

    Black hole

    Gravity+

    The Gravity+ synergy track reflects the unique Radboud expertise on the role of gravity in the universe, from the largest to the smallest length scales. The track brings together the worlds of physics, mathematical physics and astronomy, covering a wide range of topics that encompasses classical and quantum gravity, the mathematical foundations of general relativity, and (observational) astrophysics.