Physics and Scientific Modelling provides training in experimental, theoretical, and numeric 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.
The programme can be tuned to give different profiles depending on how the elective courses are chosen and the type of projects you work with. Particularly there is the option of following one of three predefined thematic profiles. You can choose to specialise in:
- Experimental and Computational Physics
- Mathematical Foundation of Physics and Scientific Modelling
- Experimental and computational biophysics
It is also possible to follow the programme with an individual approach based on combining elective courses within Physics and Scientific Modelling.
At Physics and Scientific Modelling you will as a student become part of the study- and research environment linked to the programme and the department of Science and Environment. In addition to the education, you will be invited to academic seminars, student run events as the Natcafé, boardgames nights and an annual alumni event, where you can meet former students. The teaching consists of 50 % courses and 50 % project work, where you and your co-students set the direction of your studies.
The master’s programme in Physics and Scientific Modelling will give you a strong professional position in the labor market and a solid starting point for research. The programme will enable you to:
Our candidates graduate to a wealth of opportunities within teaching, research, and development in all areas and sectors where physics, mathematics and scientific modelling play a role. You can find jobs in the energy sector, hospital physics, medicine, finance, software development, data science as well as in companies that either provide or purchase modelling or consultancy tasks.
Job titles include senior engineer, forecast analyst, industry technology specialist, physics and mathematics high school teacher, lead data scientist, quant, project manager, PhD student or professor.
Fra 2. semester former du selv din uddannelse. Du kan specialisere dig inden for:
Her vil du udvikle beregningsm?ssig viden og numeriske f?rdigheder inden for naturvidenskabelig databehandling og datavidenskab. Du vil ogs? tilegne dig metoder inden for statistik og sandsynlighedsteori.
Du vil udvikle kompetencer i logiske t?nkning og beviser inden for matematik. Endvidere vil du opn? viden om grundl?ggende strukturer i matematik, og du vil tilegne dig viden og metoder inden for statistik og sandsynlighedsteori.
Du udvikler beregningsm?ssig viden og numeriske f?rdigheder i videnskabelig databehandling og datavidenskab. Du vil ogs? l?re om anvendelse af de grundl?ggende fysikteorier i konteksten af biofysik og etablere viden om den biokemiske m?de at t?nke og analysere en given problemstilling p?.
| 1. ?r | 2. ?r | ||
|---|---|---|---|
| 1. semester | 2. semester | 3. semester | 4. semester |
| Kursus
Experiments and Models – Linear Response and Structure and Dynamics of Condensed Matter 10 ECTS |
Kursus
Integrated Science 5 ECTS |
Kursus
Problem Solving in Physics II 10 ECTS |
Speciale
Speciale i Physics and Scientific Modelling 30 ECTS |
| Kursus
Probability and Statistics 5 ECTS |
|||
| Kursus
Statistical Physics with Scientific Programming 5 ECTS |
Kursus
Problem Solving in Physics I 5 ECTS |
Kursus
Parameter Estimation 5 ECTS |
|
| Projekt
Modelling Project 15 ECTS |
Kursus
Scientific Computing and Data Science 10 ECTS |
Projekt
Specialisation Project eller Praktik Project-oriented Internship 15 ECTS |
|
| Kursus
Differential Equations in Models 5 ECTS |
|||
| 1. ?r | 2. ?r | ||
|---|---|---|---|
| 1. semester | 2. semester | 3. semester | 4. semester |
| Kursus
Experiments and Models – Linear Response and Structure and Dynamics of Condensed Matter 10 ECTS |
Kursus
Integrated Science 5 ECTS |
Kursus
Problem Solving in Physics II 10 ECTS |
Speciale
Speciale i Physics and Scientific Modelling 30 ECTS |
| Kursus
Probability and Statistics 5 ECTS |
|||
| Kursus
Statistical Physics with Scientific Programming 5 ECTS |
Kursus
Problem Solving in Physics I 5 ECTS |
Kursus
Differential Geometry 5 ECTS |
|
| Projekt
Modelling Project 15 ECTS |
Kursus
Advanced Topics in Mathematics 10 ECTS |
Projekt
Specialisation Project eller Praktik Project-oriented Internship 15 ECTS |
|
| Kursus
Dynamical Systems Analysis 5 ECTS |
|||
| 1. ?r | 2. ?r | ||
|---|---|---|---|
| 1. semester | 2. semester | 3. semester | 4. semester |
| Kursus
Experiments and Models – Linear Response and Structure and Dynamics of Condensed Matter 10 ECTS |
Kursus
Integrated Science 5 ECTS |
Kursus
Problem Solving in Physics II 10 ECTS |
Speciale
Speciale i Physics and Scientific Modelling 30 ECTS |
| Kursus
Biophysical Chemistry 5 ECTS |
|||
| Kursus
Statistical Physics with Scientific Programming 5 ECTS |
Kursus
Problem Solving in Physics I 5 ECTS |
Kursus
Proteomics and Metabolomics 5 ECTS |
|
| Projekt
Modelling Project 15 ECTS |
Kursus
Scientific Computing and Data Science 10 ECTS |
Projekt
Specialisation Project eller Praktik Project-oriented Internship 15 ECTS |
|
| Kursus
Differential Equations in Models 5 ECTS |
|||
Kandidat fra 兴发娱乐官网手机版客户端 Universitet i Fysik + Matematik
Du kan v?lge at bruge et semester p? at rejse ud med din uddannelse. Enten i praktik hos en af vores partnervirksomheder eller hos en virksomhed, som du selv finder frem til. Du afpr?ver dine kompetencer, faglige og processuelle, i et job, f?r v?rdifulde kontakter og bliver klogere p?, om det er en fremtidig karriere for dig. Du kan ogs? v?lge at tage et semesters udveksling p? et partneruniversitet i udlandet, hvor du kan f? internationalt udsyn, erfaring og netv?rk.
Du bliver en del af et st?rkt fagmilj?, hvor du er t?t p? forskerne, i dialog om alt fra faglige problemstillinger, mulige metoder og teorier, veje til at skabe nye indsigter og dine ?nsker til faglig retning for din kandidatuddannelse. Du bliver en del af et socialt milj? typisk centreret i én bygning p? campus, hvor forskere og studerende arbejder d?r om d?r. Du kommer til at studere inden for universitetets projektform, hvor identifikation af en problemstilling, dybdeg?ende analyser, valg og implementering af metodisk tilgang, samt opstilling af en st?rkt teoretisk ramme er dit ansvar under faglig vejledning fra en forsker. Du kommer til at deltage i en r?kke kurser, som udvider dine metodiske og teoretiske viden. I l?bet af et semester vil du opstille et v?sentligt problem inden for dit fag og udvikle viden til at fremstille videnskabelige argumenter for l?sningsmulighed(er). Du f?r konkret erfaring med den hele videnskabelige proces.
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