Year 1
Course | EC | Semester 1 | Semester 2 |
---|---|---|---|
Mandatory: |
|||
Mathematics for statisticians | 3 | ||
Statistics and probability | 9 | ||
Statistical computing with R | 6 | ||
Introduction to Data Science | 3 | ||
Linear & generalized linear models and linear algebra | 9 | ||
Bayesian Statistics | 6 | ||
Databases | 6 | ||
Mixed and longitudinal modeling | 6 | ||
Multivariate analysis and multidimensional data analysis | 6 | ||
Preapproved Electives: |
|||
Study designs in the Life and Behavioral Sciences | 6 | ||
Survey Methodology | 6 | ||
Survival analysis | 6 |
Year 2
Course | EC | Semester 1 | Semester 2 |
---|---|---|---|
Mandatory: |
|||
Advanced Statistical Computing | 3 | ||
Statistical Consulting (Statistical Science) | 5 | ||
Statistical learning | 6 | ||
Internship | 10 | ||
Master Thesis | 24 | ||
Preapproved Electives: |
|||
Psychometrics and SEM | 6 | ||
Advances in Data Mining | 6 | ||
Introduction to Deep Learning | 6 | ||
High-dimensional data analysis | 6 | ||
Statistical genetics | 6 | ||
EMOS Core Module | 12 |