List of programme's course units, number of exams (i.e. how many times the exam was taken in a year) and average marks
The data refer to last year. A course unit may include modules, subgroups, integrated exams. Proficiency tests are not included in the list.
| Course unit | Number of times exam was taken | Average mark |
|---|---|---|
| ADVANCED TIME SERIES | 50 | 27 |
| DATABASES | 32 | 24 |
| METHODS AND TOOLS FOR OFFICIAL STATISTICS: POPULATION AND HEALTH STATISTICS | 10 | 27 |
| SYSTEMS AND ALGORITHMS FOR DATA SCIENCE | 9 | 28 |
| DATA SCIENCE APPLICATIONS | 1 | 30 |
| DISCRETE MATHEMATICS | 5 | 29 |
| LONGITUDINAL AND TIME-TO-EVENT DATA ANALYSIS | 37 | 26 |
| MODERN STATISTICS AND BIG DATA ANALYTICS | 52 | 27 |
| ANALYSIS OF CATEGORICAL DATA | 25 | 24 |
| STOCHASTIC PROCESSES | 50 | 28 |
| SOCIAL DEMOGRAPHY | 9 | 28 |
| EXPERIMENTAL PSYCHOLOGY | 12 | 28 |
| MACHINE LEARNING SYSTEMS FOR DATA SCIENCE | 63 | 29 |
| SOCIOGENOMICS | 10 | 29 |
| METHODS AND TOOLS FOR HEALTH STATISTICS | 15 | 29 |
| FUNDAMENTAL CONCEPTS OF STATISTICS | 80 | 27 |
| DIFFERENTIAL EQUATIONS | 6 | 28 |
| ECONOMETRICS | 6 | 26 |
| MULTIVARIATE STATISTICS | 5 | 26 |
| COMPUTATIONAL HUMAN GENOMICS | 13 | 30 |
| DIFFERENTIAL CALCULUS | 26 | 26 |
| BIG DATA (PRIVACY) | 4 | 25 |
| MEASURE THEORY | 10 | 28 |
| STOCHASTIC PROCESSES AND ADVANCED TIME SERIES | 1 | 25 |
| TIME-TO-EVENT DATA ANALYSIS | 2 | 28 |
| ADVANCED SURVIVAL ANALYSIS | 10 | 28 |
| HUMAN GENETICS | 16 | 29 |
| DESIGN OF EXPERIMENTS | 10 | 30 |
| METHODS AND TOOLS FOR OFFICIAL STATISTICS: SOCIO-ECONOMIC STATISTICS | 7 | 28 |
| BAYESIAN INFERENCE | 9 | 27 |
| ADVANCED PROBABILITY | 44 | 28 |
| POPULATION AND CLIMATE CHANGE | 5 | 26 |
| SUPERVISED STATISTICAL LEARNING | 52 | 27 |
| BIODEMOGRAPHY | 16 | 29 |
| STATISTICAL MODELS AND APPLICATIONS | 61 | 26 |
| BAYESIAN INFERENCE | 43 | 27 |
| LATENT VARIABLE MODELS | 44 | 26 |