Introduction to the programme
You will learn to translate from reality to mathematics and back again, to understand the basic prerequisites for when mathematical models work and, especially, when they do not work. Mathematical models play an important role in almost every part of society and business, so graduates with these skills are highly valued in many sectors, including industry, the financial sector, and software development as well as the educational section.
Physics has a long tradition of describing the world with mathematics, so many physicists are employed in all the above fields. In the Mathematical Physical Modelling programme, we build on this tradition and combine mathematics and physics so you are introduced to both subjects' foundational disciplines and ways of thinking and learn how to develop and work with mathematical models. The program thus unites the abstraction of mathematics with the concrete approach to the world of physics.
The programme will provide you with the skills to identify, formalise, analyse, evaluate and solve problems within physics and mathematics independently or in cooperation with others. You will learn to understand, develop, implement and evaluate experimental studies, simulations, physical reasoning and mathematical proofs, and to understand, develop, apply and evaluate qualitative and/or quantitative models within the subjects.
You finish the programme by writing an interdisciplinary master thesis.
Career
The programme offers you a wide range of job opportunities in:
- High-tech manufacturing and development, including in the electronics and pharmaceutical industries
- The educational system
- The IT, insurance and pension industries
- Companies for which modelling, programming or consultancy plays an important role
The master degree qualifies graduates to start on a PhD programme.
Academic staff
Facts about the programme
Degree: Master of Science (MSc) in Physics and Mathematics
Language of tuition: English
Example of a study programme
| 1. year | 2. year | ||
|---|---|---|---|
| 1. Semester | 2. Semester | 3. Semester | 4. Semester |
Course Geometry 10 ECTS |
Course Fundamental Mathematical Structures 10 ECTS |
Course Problemsolving in Physics II 10 ECTS |
Thesis
in Mathematical Physical Modelling 30 ECTS |
| Course Advanced Physics E.g. Statistical Mechanics 5 ECTS |
Course Physical Techniques 5 ECTS |
Elective course E.g. Integrated Science 5 ECTS |
|
| Project Reflection project 15 ECTS |
Elective course E.g. Probability Theory and Statistics 5 ECTS |
Project Modelling project 15 ECTS |
|
Elective course E.g. Elective courses in Mathematics and Physics 2x5 ECTS eller 10 ECTS |
|||
Please note: The table shows an example of a course of study. Courses, projects, internships and studies abroad with credit transfer may vary for each student. See current courses at study.ruc.dk
What advantage has Ruppeiners concept of thermodynamic curvature compared to classical thermodynamics?
Can it be shown experimentally whether different types of liquids obey isochronal superposition?
How is the effective diffusivity of oxygen in meat affected when the distribution and concentration of fat change?
Why is the theory of distributions more used and recognized than the theory of currents?
How is the concentration of free cortisol affected in the model if the excretion of cortisol in the blood is dynamic in 24 hours?
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