Master's Programme in Statistics and Data Science
120 credits
Outline, SSD2M
- Code
- SSD2M
- Finalised by
- The Department Board, 14 October 2022
- Registration number
- SAMFAK 2022/25 Doss: 3.2.1
Semester 1
Period 1-2
- Linear Algebra for Statisticians, 7.5 credits (2ST115) Main field(s) of study and in-depth level: Statistics A1N
- Probability Theory, 7.5 credits (2ST080) Main field(s) of study and in-depth level: Statistics A1N
Period 3-4
- Statistical Programming with R, 7.5 credits (2ST105) Main field(s) of study and in-depth level: Statistics A1N
- Inference, 7.5 credits (2ST120) Main field(s) of study and in-depth level: Statistics A1N
Semester 2
Period 1-2
- Advanced Econometrics, 7.5 credits (2ST123) Main field(s) of study and in-depth level: Statistics A1N
- Multivariate Statistical Analysis, 7.5 credits (2ST125) Main field(s) of study and in-depth level: Statistics A1F
Period 3-4
- Structural Equation Models, 7.5 credits (2ST114) Main field(s) of study and in-depth level: Statistics A1N
- Causal Inference, 7.5 credits (2ST124) Main field(s) of study and in-depth level: Statistics A1N
Semester 3
Choose two of the following three courses for period 1-2:
- Generalised Linear Models, 7.5 credits (2ST075) Main field(s) of study and in-depth level: Statistics A1N
- Time Series Econometrics, 7.5 credits (2ST111) Main field(s) of study and in-depth level: Statistics A1N
- Bayesian Statistics and Data Analysis, 7.5 credits (2ST128) Main field(s) of study and in-depth level: Statistics A1N
Choose two of the following three courses for period 3-4:
- Analysis of Survival Data, 7.5 credits (2ST072) Main field(s) of study and in-depth level: Statistics A1N
- Financial Econometrics, 7.5 credits (2ST119) Main field(s) of study and in-depth level: Statistics A1F
- Machine Learning, 7.5 credits (2ST129) Main field(s) of study and in-depth level: Statistics A1F
Semester 4
- Master's Thesis in Statistics, 30 credits (2ST116) Main field(s) of study and in-depth level: Statistics A2E