Introduction to the programme
Physics and Scientific Modelling provides training in experimental, theoretical and computer based methods to solve problems in physics and other fields. The weighting of experiments, theory and numeric techniques is determined by your choices in the study programme.
The point of departure is the understanding of physics and the laws of nature, but in this study programme, there is a special focus on independent work in identifying which physical concepts and mathematical and numerical methods that are relevant to solve a given problem. In the projects, it is possible to immerse yourself in experimental, computer science and / or mathematical aspects of modelling. At the same time, it is possible to apply the physics competencies outside of classical physics subjects if you want a clear interdisciplinary profile.
The aim of the study programme is to give you competencies and methods to work systematically and critically with physics, modelling and data science in connection with problems in a wide range of fields.
Career
As a graduate from Physics and Scientific Modelling, you will find employment with teaching, research and development, for example in the energy sector, hospital physics, medicine, finance, software development and at companies that offer modelling and consulting services.
Facts about the programme
Degree: Master of Science in Physics and Scientific Modelling
Teaching language: English
Study start: First study start September 2022
An example of a Study Programme
| 1. year | 2. year | ||
|---|---|---|---|
| 1. semester | 2. semester | 3. semester | 4. semester |
| Course
Experiments and Models – Linear Response and Structure and Dynamics of Condensed Matter 10 ECTS |
Course
Problem Solving in Physics I 5 ECTS |
Course
Problem Solving in Physics II 10 ECTS |
Master Thesis
30 ECTS |
| Elective Course
Elective Course or Courses from your specialisation Totally 10 ECTS |
|||
| Course
Statistical Physics with Scientific Programming 5 ECTS |
Elective Course
Elective Courses or Course from your specialisation 5 ECTS |
||
| Project
Modelling Project 15 ECTS |
Project
Differential Equations in Models or Dynamical Systems Analysis 5 ECTS |
Project or Internship
Specialisationproject or Project-oriented Internship 15 ECTS |
|
| Course
Scientific Computing and Data Science or Fundamental Mathematical Structures 10 ECTS |
|||
Note that the above is an example of a recommended course of study. Individual students’ courses, projects, internships and accredited study abroad may vary in relation to the above. You can see the range of courses currently offered by Roskilde University here: study.ruc.dk
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