The Graduate Programme is comprised of courses that are available to students at the Masters and PhD levels.
Courses at the Masters level can often be taken as part of the PhD degree. The demands for the PhD students are set higher, however, and supplementary research oriented assignments may be required.
All courses in the Graduate Program are part time, i.e. students are expected to read two courses in parallel. All courses are given in English.
There is a set of core courses, comprising nine compulsory courses (all courses are 7.5 credits, 60 credits per year).
The compulsory courses are as follows (S = Spring term and A = Autumn term)
- (A)) Mathematical Methods - Static Optimisation
- (A) Mathematical Methods - Dynamic Optimisation (odd years)
- (A) Statistical Methods (even years)
- (A) Microeconomics - Theory for Individual Choice
- (S) Microeconomics - Strategic Interaction (even years)
- (A) Advanced Macroeconomic Analysis
- (S) Economic Growth, Advanced Course (even years)
- (S) Econometric Theory (odd years)
- (S) PhD Course in Econometrics (odd years)
The courses in mathematics and statistics serve as preparation for the remaining compulsory courses. Advanced Econometrics is a prerequisite for Econometric Theory, and Advanced Macroeconomic Analysis is a prerequisite for Economic Growth, Advanced Course.
Other PhD courses (as lectures or seminars) are also given, but vary from year to year. In addition reading courses will be arranged as required.
The Masters courses that are available vary from term to term.