Computational Physics – University of Copenhagen

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Physics > Specialisations > Computational Physics

Computational Physics

Computational Physics is a specialisation of the MSc programme in Physics.

Calculations and data interact within every branch of physics. Here, you will deploy your physics knowledge to develop advanced statistical methods and algorithms, and work with simulation and data processing at a high scientific level.

Many physics experiments generate enormous quantities of data – Big Data – that require special processing techniques. This specialization will teach you an array of methods with which you will be able to extract the underlying physics from data.

The specialisation will also prepare you to address a wide range of problems using numerical methods. You will be able to select optimal methods for particular solutions and evaluate results with precision.

Furthermore, you can choose from a range of courses addressing areas that include machine learning and data management, parallel computing, distributed systems, or courses geared towards computing within a specific physics discipline, such as astrophysics, biophysics or geophysics.

Study Track

You can design a study track by choosing elective or restricted elective courses that allow you to delve more deeply into a given area during your specialisation. We have composed a study track which is particularly suitable for the specialisation in Computational Physics (click the link below to see the study track):

However, you may also choose to customise your programme with a mix of courses and projects that satisfy your own interests.

Programme structure

The Computational Physics specialisation can be structured in three different ways, depending on the size of your thesis as well as when you start working on your thesis.

Course of study 1 – thesis 60 ECTS, work beginning in the first year of the programme:

Block 1 Block 2 Block 3 Block 4
Year 1
Scientific Computing Inverse Problems
Thesis
Year 2
Thesis
Thesis

Course of study 2 – thesis 60 ECTS, work beginning in the second year of the programme:

Block 1 Block 2 Block 3 Block 4
Year 1 Scientific Computing Inverse Problems
Year 2 Thesis

Course of study 3 – thesis 45 ECTS, work beginning in the second year of the programme:

Block 1 Block 2 Block 3 Block 4
Year 1 Scientific Computing Inverse Problems
Year 2
Thesis
Thesis

     Compulsory course
     Restricted elective course
     Elective course

Restricted elective courses

Choose your restricted elective courses from the lists below. Click on each course for a detailed description.