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 PROBABILITY | 28 | 29 |
| DIFFERENTIAL EQUATIONS | 1 | 30 |
| SYSTEMS AND ALGORITHMS FOR DATA SCIENCE | 6 | 29 |
| BAYESIAN INFERENCE | 19 | 27 |
| MULTIVARIATE STATISTICS | 4 | 27 |
| MACHINE LEARNING SYSTEMS FOR DATA SCIENCE | 52 | 29 |
| LATENT VARIABLE MODELS | 13 | 25 |
| ADVANCED TIME SERIES | 41 | 28 |
| TIME-TO-EVENT DATA ANALYSIS | 8 | 27 |
| BAYESIAN INFERENCE | 56 | 27 |
| SYSTEMS AND ALGORITHMS FOR DATA SCIENCE | 1 | 20 |
| MEASURE THEORY | 27 | 29 |
| FUNDAMENTAL CONCEPTS OF STATISTICS | 92 | 27 |
| DISCRETE MATHEMATICS | 2 | 30 |
| STATISTICAL MODELS AND APPLICATIONS | 66 | 25 |
| ANALYSIS OF CATEGORICAL DATA | 30 | 24 |
| SUPERVISED STATISTICAL LEARNING | 50 | 27 |
| DEMOGRAPHIC ANALYSIS | 2 | 29 |
| HUMAN GENETICS | 19 | 29 |
| LONGITUDINAL AND TIME-TO-EVENT DATA ANALYSIS | 33 | 24 |
| SOCIAL DEMOGRAPHY | 11 | 28 |
| STOCHASTIC PROCESSES AND ADVANCED TIME SERIES | 1 | 30 |
| STOCHASTIC PROCESSES | 57 | 27 |
| METHODS AND TOOLS FOR HEALTH STATISTICS | 16 | 27 |
| ADVANCED SURVIVAL ANALYSIS | 20 | 29 |
| ECONOMETRICS | 4 | 28 |
| METHODS AND TOOLS FOR OFFICIAL STATISTICS: POPULATION AND HEALTH STATISTICS | 3 | 26 |
| DESIGN OF EXPERIMENTS | 7 | 29 |
| NONPARAMETRIC STATISTICS | 1 | 18 |
| EXPERIMENTAL PSYCHOLOGY | 8 | 30 |
| DIFFERENTIAL CALCULUS | 40 | 28 |
| DATABASES | 30 | 24 |
| MODERN STATISTICS AND BIG DATA ANALYTICS | 36 | 26 |
| SOCIOGENOMICS | 15 | 28 |
| METHODS AND TOOLS FOR OFFICIAL STATISTICS: SOCIO-ECONOMIC STATISTICS | 10 | 26 |
| COMPUTATIONAL HUMAN GENOMICS | 6 | 30 |
| BIODEMOGRAPHY | 6 | 30 |
| POPULATION AND CLIMATE CHANGE | 8 | 28 |