Programme structure

Course of study

 Example

Courses

The programme has two mandatory courses. These can be chosen among the following:

• IN4200 – High-Performance Computing and Numerical Projects
• FYS-STK4155 – Applied Data Analysis and Machine Learning
• MAT4110 – Introduction to Numerical Analysis

If you have already completed these courses, or courses with similar content, you may replace them with elective courses. If so, please consult your contact person regarding recommendation of elective courses.

There are also mandatory courses in Health, safety and environment  (HSE) at the beginning of the first semester:

• HMS0501 – Safety and Physical Environment
• HMS0502 – Positive Learning Environment

HSE courses do not give credits. If you have previously passed equivalent courses at the University of Oslo, you will not need to re-apply these.

The remaining courses are elective, which courses you choose depends on thesis topic and specialization. The different programme options have recommendations of  elective courses, please see each programme option for further detalis.

Master's thesis

After admission to one of the programme options, we recommend that you get in touch with the various researchers and teachers which are involved with your programme option. They will guide you with respect to possible Master's thesis projects and through common seminars and meetings during the first year of studies, you will meet scientists from the various programme options as well. The latter can give you a guidance about possible multi-disciplinary thesis projects.

Recognition of Master's courses from former education

If you are admitted to the Master's programme and you have completed Master's courses outside the University of Oslo, you may apply to have these courses recognised as part of your degree. Please contact the Department of Physics for more information.