0st year

Total credits: 12 | Optional: 12.

1nd year

Total credits: 60 | Compulsory: 60.
Code Name Credits Type (of subject) Course syllabus, schedules, exams
46572 Signal analysis 4.5 Compulsory Check info
46573 Exploratory data analysis 4.5 Compulsory Check info
46574 Machine learning (I) 6 Compulsory Check info
46575 Machine learning (II) 6 Compulsory Check info
46581 Machine learning (III) 3 Compulsory Check info
46577 Deep learning 6 Compulsory Check info
46570 Statistics and optimisation 6 Compulsory Check info
46571 Management and manipulation of information 3 Compulsory Check info
46579 Causal inference and machine learning 3 Compulsory Check info
46569 Introduction to data science 6 Compulsory Check info
46578 Natural language processing 6 Compulsory Check info
46580 Productivization and implementation 3 Compulsory Check info
46576 Advanced visualisation of data 3 Compulsory Check info

2rd year

Total credits: 30 | Compulsory: 30.
Code Name Credits Type (of subject) Course syllabus, schedules, exams
46583 External internships 10 Compulsory Check info
46582 Seminars 5 Compulsory Check info
46584 Master's final project 15 Compulsory Check info

Elective subjects

Code Name Credits Type (of subject) Course syllabus, schedules, exams
44788 Informatics 6 Optional Check info
44787 Mathematics I 6 Optional Check info