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.
Curriculum of Quantum Matter
The Master’s specialisation in Quantum Matter (formerly Physics of Molecules and Materials) is a two-year programme requiring 120 EC. The curriculum includes compulsory courses: four Quantum Matter courses, a Philosophy course, and a Professional Preparation course. These are supplemented by specialisation electives from a curated list, as well as free electives that you can take at any faculty or university, offering the flexibility to further specialise or broaden your academic scope. In the second year, you will complete an internship and thesis.
About this study curriculum
The list below illustrates the basic organisation of the Master's specialisation in Quantum Matter:
- Compulsory courses (23 EC)
- Elective courses (24 EC)
- Free electives (13 EC)
- Master's thesis (60 EC)
You can also decide to do the synergy track Computational and Data Science. You can find more information about this track at the bottom of this page.
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
- P1
- P1
- P2
- P1
- P2
- P1
- P2
- P3
- P3
- P4
Elective courses
You need to choose at least 24 EC worth of electives from this list. For detailed requirements, and starting periods, please consult the online course guide in Osiris. Part of your elective course programme can take the form of a synergy track in Computational and Data Science. You can find more information about this synergy track at the bottom of this page.
CDS: Advanced Programming (3 EC)
CDS: Machine Learning (3 EC)
CDS: Numerical Methods (3 EC)
Computational Physical Chemistry 1 (3 EC)
Computational Physical Chemistry 2 (3 EC)
Computational Quantum Physics (6 EC)
Condensed Matter Quantum Field Theory (6 EC)
Experimental Techniques (3 EC)
Fundamentals of Magnetism (6 EC)
Fundamentals of Spectroscopy (6 EC)
Laser Matter Interaction (6 EC)
Pattern Recognition for Natural Science (3 EC)
Photonics (3 EC)
Quantum Dynamics (3 EC)
Quantum Transport (6 EC)
Scanning Probe Microscopy (3 EC)
Superconductivity (3 EC)
Ultracold Atoms and Molecules (3 EC)
Free electives
Free electives (13 EC) can be chosen from any other specialisation or programme, not necessarily within the Master's programme Physics and Astronomy.
- P1
- P2
- P3
- P4
Specialisations
Data science and computational methods play an increasing important role in modern science as well as in industry and society. This is why we offer a synergy track Computational and Data Science (15 EC) in this Master's programme, where we use the synergy of different disciplines in the Faculty of Science that are engaged in computational modeling and data science.
About this study curriculum
This track intersects with the Master's specialisations in Particle and Astrophysics, Quantum Matter, Neurophysics and Physical Chemistry.
The synergy track consists of a 9 EC core curriculum, that covers fundamental aspects of computing and data science. This core curriculum should be supplemented by dedicated electives to at least 15 EC based on your specialisation. Please check the course guide for the current information.
- P1
- P2
- P3