The first year consists of three mandatory courses and 5-7 elective courses. In the second year, you will conduct a research project which will culminate in a Master's thesis.
You have to select two courses from a list of four (Experimental Quantum Physics, Photon Physics, Particle Physics I and Soft Condensed Matter Theory). These courses give a broad and thorough background in the topics of the Master's programme. The elective courses allow you to specialize in your area of interest. The elective courses are subdivided in primary and secondary elective. The primary electives can be chosen form a list of courses relevant to the topics of the programme. The secondary electives (at most 15 EC) can also be chosen from other Master's programmes in natural sciences. You can also carry out an additional research internship as part of your secondary electives.
EC= credits (European Credit Transfer and Accumulation System)
Year 1, lecture courses (60 EC):
Particle Physics 1 (NS-EX416M) 7.5 EC
Experimental Quantum Physics (NS-EX401M) 7.5 EC
Photon Physics (NS-EX418M) 7.5 EC
Soft Condensed Matter Theory (NS-TP453M) 7.5 EC
Primary elective courses 22.5 EC or more
Secondary elective courses 15 EC or less
Experimental Design (NS-EX422M) 7.5 EC
Year 2, research component (60 EC):
Thesis 60 EC
The courses are either full-semester courses consisting of a weekly lecture presented by a staff member and exercises class supervised by teaching assistants (PhD-students or postdocs from the research groups), half-semester courses at double the weekly load or intensive two week courses. Some of these courses are offered as part of national collaborations.
The thesis research project is an one-year project supervised by a staff member, in which you work on your own project as part of an experimental research group.
A profile is a coherent set of courses totaling 30 EC and can be chosen to expand the thematic range of your Master's programme. The courses are on a single theme that is usually not a standard part of the programme.
Educational profile – teacher degree
If you are passionate about sharing your knowledge, and you would consider a career as a teacher in secondary education, this profile might be right for you. The emphasis of the Educational Profile is on practitioner skills and school-based activities. Throughout the profile, learning theories and teaching methods will be taught closely linked to your day to day work in the classroom. The profile is tailored to meet the professional development needs of teachers in the early stages of their careers. More information.
Complex systems profile
Complex Systems is an interdisciplinary profile for ambitious students from different Master’s programmes, who want to work on modelling solutions within the field of Complex Systems. The profile gives you the opportunity to broaden your view and knowledge from an interdisciplinary angle and widens your opportunities for further development. It prepares you for a career in interdisciplinary fields at, for instance, financial companies. You will receive a Complex Systems certificate. More information.
Applied Data Science profile
Applied Data Science is a multidisciplinary profile for students who want to better understand and be able to apply Data Science methods, techniques, and processes to solve real-world problems in various application domains. The foundations of applied data science include relevant statistical methods, machine learning techniques and script programming. Moreover, key aspects and implications of ethics, privacy and law are covered as well. Data science methods and techniques are investigated using case studies and applications throughout the life sciences & health, social sciences, geosciences, and the humanities. More information.