Please note: This page is aimed at prospective students. Are you already a student at Radboud University? You can find your current study programme in the Course catalogue.
Synergy tracks
Our synergy tracks are interdisciplinary programmes that interconnect mathematics with other fields of science: Mathematics of Computer Science, Mathematics of Data Science and Gravity+.
About this study curriculum
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: 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.
Gravity+: this 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.
- Compulsory courses (8 EC)
- Track electives (36 EC)
- Electives (36 EC):
- Mathematical electives (18 EC)
- Master electives (12 EC)
- Free electives (6 EC) - Master's thesis Mathematics (40 EC)
Provisional overview for prospective students
This overview provides an indication of the study programme of the academic year 2026-2027 and is aimed at prospective students. It is subject to change and no rights may be derived from it. Already a student at Radboud University? View your current study programme in the Course catalogue.
- P1
- P2
- P3
- P1
- P2
- P3
- P4
For your philosophy course, you can choose one from this list of science philosophy electives.
You can find the Track courses of the three synergy programmes at the bottom of this page.
Required track electives
Minimum 36 ECMathematical electives
Minimum 18 ECMaster electives
Minimum 12 ECFree electives
Minimum 6 EC- P1
- P2
- P3
- P4
Specialisations
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.
- P3
- P4
Choose at least two from this list:
Minimum 12 EC- P1
- P2
- P1
- P2
- P1
- P2
- P1
- P2
- P3
- P4
Besides the compulsory courses (20 EC) above, you need to choose 16 EC of electives from the list below.
- Category Theory and Homological Algebra
- Sheaves and Geometry
- Calculus of Variations (MasterMath)
- Calculus of Variations
- Differential Geometry (MasterMath)
- Algebraic Geometry 1 (MasterMath)
- Lie Groups (MasterMath)
- Lie Algebras (MasterMath)
- Algebraic Topology 1
- Algebraic Topology 1 (MasterMath)
- Complexity Theory
- Complexity Theory (MasterMath)
- Riemann Surfaces (MasterMath)
- Elliptic Curves (MasterMath)
- Operator Algebras (MasterMath)
- Computability Theory
- Computability Theory (Mastermath)
- Functional Analysis (MasterMath)
- Algebraic Number Theory (MasterMath)
- Analytic Methods in Number Theory
- PDEs (Mastermath)
The full Mastermath course schedule can be found on the Mastermath's website.
In the synergy track Mathematics and Data Science 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. This interdisciplinary programme interconnects applied mathematics with specialisations in physics and computer science, focussing on topics such as Data Analysis, Machine Learning and Computational Modelling.
- P1
- P2
Choose courses for at least 12 EC
Minimum 12 EC- P1
- P2
- P3
- P4
- P3
- P4
- P1
- P2
- P3
- P4
Besides the compulsory courses (20 EC) above, you need to choose 16 EC of electives from the list below.
- Calculus of Variations
- Calculus of Variations (MasterMath)
- Measure Theoretic Probability (MM)
- Numerical Linear Algebra (MasterMath)
- Optimal Transport (MasterMath)
- Mathematical Neuroscience (MasterMath)
- Dynamical Systems (MasterMath)
- Regression Analysis
- Mathematical Biology (MasterMath)
- Asymptotic Statistics (MasterMath)
- Finite Element Methods
- Forensic Probability and Statistics (MM)
- Monte Carlo Methods
- Entropy and Large Deviations
- Nonlinear Wave Equations
- Stochastic Simulation
- PDEs (MasterMath)
The full Mastermath course schedule can be found on the Mastermath's website.
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.
The aim is to bring students to the forefront of international research in gravity, including the unique programme conducted at Radboud University exemplified by the recent breakthrough in black-hole imaging through the Event Horizon Telescope.
Choose at least 12 EC from this list:
Minimum 12 EC- P1
- P2
- P1
- P2
- P3
- P3
- P4
- P3
- P4
- P3
- P4
Besides 12 EC from the list above, you need to choose 24 EC of electives from the list below.
- Differential Geometry (MasterMath)
- Symplectic Geometry (MasterMath)
- Riemannian Geometry
- Noncommutative Geometry
- Entropy and Large Deviations
- Lie Groups (MasterMath)
- Lie Algebras (MasterMath)
- Calculus of Variations (MasterMath)
- Calculus of Variations
- PDEs (MasterMath)
- Nonlinear Wave Equations
- Singularities and Black Holes
- Functional Analysis (MasterMath)
- Operator Algebras (MasterMath)
- Quantum Computing (MasterMath)
- Quantum Information Theory (MasterMath)
The full Mastermath course schedule can be found on the Mastermath's website.