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 |
|---|---|---|
| BIODEMOGRAPHY | 13 | 30 |
| LANGUAGE LABORATORY: COMMUNICATION OF STATISTICS AND DATA BUSINESS ANALYTICS | 1 | 30 |
| MEASURE THEORY | 7 | 28 |
| LATENT VARIABLE MODELS | 54 | 26 |
| DATA SCIENCE APPLICATIONS | 2 | 28 |
| EXPERIMENTAL PSYCHOLOGY | 8 | 29 |
| SOCIAL DEMOGRAPHY | 10 | 29 |
| SUPERVISED STATISTICAL LEARNING | 56 | 27 |
| MODERN STATISTICS AND BIG DATA ANALYTICS | 60 | 28 |
| ADVANCED SURVIVAL ANALYSIS | 8 | 28 |
| BAYESIAN INFERENCE | 7 | 28 |
| COMPUTATIONAL HUMAN GENOMICS | 4 | 29 |
| DATABASES | 34 | 25 |
| METHODS AND TOOLS FOR HEALTH STATISTICS | 12 | 29 |
| METHODS AND TOOLS FOR OFFICIAL STATISTICS: SOCIO-ECONOMIC STATISTICS | 7 | 27 |
| NONPARAMETRIC STATISTICS | 1 | 23 |
| STATISTICAL MODELS FOR (FUZZY) SET-VALUED DATA | 2 | 30 |
| FUNDAMENTAL CONCEPTS OF STATISTICS | 68 | 27 |
| DIFFERENTIAL EQUATIONS | 30 | 28 |
| MULTIVARIATE STATISTICS | 9 | 27 |
| MACHINE LEARNING SYSTEMS FOR DATA SCIENCE | 59 | 29 |
| SYSTEMS AND ALGORITHMS FOR DATA SCIENCE | 1 | 30 |
| STOCHASTIC PROCESSES | 58 | 28 |
| ECONOMETRICS | 5 | 22 |
| STATISTICAL MODELS AND APPLICATIONS | 89 | 26 |
| ANALYSIS OF CATEGORICAL DATA | 29 | 25 |
| BAYESIAN INFERENCE | 35 | 29 |
| HUMAN GENETICS | 15 | 27 |
| DIFFERENTIAL CALCULUS | 15 | 27 |
| SOCIOGENOMICS | 12 | 28 |
| ADVANCED TIME SERIES | 65 | 26 |
| SYSTEMS AND ALGORITHMS FOR DATA SCIENCE | 11 | 29 |
| DISCRETE MATHEMATICS | 3 | 29 |
| ADVANCED PROBABILITY | 63 | 28 |
| POPULATION AND CLIMATE CHANGE | 17 | 29 |
| ADVANCED SURVIVAL ANALYSIS | 1 | 26 |
| METHODS AND TOOLS FOR OFFICIAL STATISTICS: POPULATION AND HEALTH STATISTICS | 7 | 28 |
