Programme Structure

The programme is very free and can, to a great extent, be composed according to your own wishes, with an emphasis on financing, econometrics, operations research, or theoretical economics. Regardless of which direction you choose, the mathematical foundation will play a major role.

Do a Project in Practice or Study Abroad

There are good opportunities to participate in external projects and to have credit for them transferred as part of your studies. For instance, you can choose to do a Project in Practice in collaboration with a company or an institution.

It is also possible to study abroad during your degree. You can study abroad for one or two semesters or for a shorter period.

Master's Thesis

The programme concludes with a thesis, where you work in depth with an academic problem. Often, the thesis takes its point of departure in practice, and the work is carried out in collaboration with a company in many cases.

Below you can see some examples of possible thesis topics:

• Optimum mortgage-credit portfolio planning
• Implicit volatility and realised variance
• Credit risk
• Co-integration – stable correlations in explosive processes
• Optimum route plans in large networks

 

The programme can be structured in two ways, depending on whether you start your studies in September or February:

Programme Overview, Study Start in September

Compulsory courses: 30 ECTS
Restricted elective courses: 30 ECTS
Elective courses: 30 ECTS
Thesis: 30 ECTS 

One block each year equals nine weeks of study and 15 ECTS.

Programme Overview, Study Start in February

Study start in February is only for students with a reserved access to the programme. Read about reserved access here >>

Compulsory courses: 30 ECTS
Restricted elective courses: 30 ECTS
Elective courses: 30 ECTS
Thesis: 30 ECTS 

One block each year equals nine weeks of study and 15 ECTS.

Restricted Elective Courses

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

• Stochastic Processes in Non-Life Insurance
• Stochastic Processes in Life Insurance
• Computational Statistics
• Applied Operations Research
• Regression (Reg)
• Advanced Probability Theory 1
• Machine Learning A
• Seminar in Statistics
• Reserving in Non-Life Insurance
• Consumption-Investment Problems
• Term Structure Models
• Survival Analysis
• Advanced Probability Theory 2
• Continuous Time Financing
• Introduction to Extreme Value Theory
• Quantitative Risk Management
• Machine Learning B
• Point Processes*
• Statistics A (StatA)
• Monte Carlo Methods in Insurance and Finance*
• Optimal Stopping with Applications
• Privacy in Statistics and Machine Learning
• Inference for Stochastic Differential Equations
• Microeconomic and Econometric Production Analysis
• Economic Efficiency and Benchmarking
• Natural Resource Economics
• Convex Optimization, Complementarity and Equilibrium Modelling
• Corporate Finance Theory
• Financial Econometrics A
• Health Economics
• Årsregnskab og regnskabsanalyse
• Advanced Economics of the Environment and Climate Change
• Mechanism Design
• Contract Theory
• Advanced Microeconometrics
• Fixed Income Derivatives: Risk Management and Financial Institutions (F)
• Anvendt økonomisk modellering
• Advanced Macroeconomics: Heterogeneous Agent Models
• Energy Econometrics of the Green Transition
• Continuous Time Finance 2
• Numerical Optimisation (NO)
• Statistics B (StatB)
• Semiparametric Inference
• Applied Probability*
• Models for Complex Systems
• Topics in Life Insurance
• Machine Learning Methods in Non-Life Insurance
• Online and Reinforcement Learning (OReL)
• Operations Research 2: Advanced Operations Research (OR2)
• Interpretable Machine Learning
• Modelling and Estimation for Health and Disability Insurance
• Economic Valuation Methods and Cost-Benefit Analysis
• Advanced Operations Research: Stochastic Programming
• Project in Statistics
• Computational Finance*
• Applied Programming (APP)
• Advanced Deep Learning (ADL)
• Causality
• Topics in Non-Life Insurance (Skade2)
• Projects in the mathematics of life insurance
• Empirical Bayes and generalized linear mixed models*
• Computational Methods in Non-life Insurance
• Advanced Development Economics – Micro Aspects
• Economics of Banking
• Industrial Organization
• International Economics
• Pricing Financial Assets
• Regnskabsanalyse og aktievurdering
• Economics of the Environment and Climate Change
• Behavioral Finance (F)
• Kapitalmarkedsforhold (F)
• Applied Econometric Policy Evaluation (p)
• Advanced Empirical Finance: Topics and Data Science
• Financial Markets Microstructure (F)
• Dynamic Programming – Theory, Computation, and Empirical Applications

* The course is not offered in the academic year 2023/24.