First year

Semester 1

COURSES	ECTS	Hours	Lectures*	Practice**	Type
Innovative project 1	5	150	2	8	Obligatory
Negotiation and conflict resolution	4	45	2	1	Obligatory
Data Preparation	6	60	2	2	Obligatory
Data Warehouses and Business Intelligence	6	60	2	2	Obligatory
Introduction to Data Science	3	45	1	2	Obligatory
Data Analysis: Statistical Modeling and Computation in Applications	5	60	2	2	MITx*
Disruptive technologies	6	60	2	2	Elective
Machine Learning with Python: from Linear Models to Deep Learning	6	75	2	3	MITx*
Probability - The Science of Uncertainty and Data	5	60	2	2	MITx*
Managing Quality in IT Projects	6	60	2	2	Elective

Semester 2

COURSES	ECTS	Hours	Lectures*	Practice**	Type
Innovative project 2	6	15	0.4	0.6	Obligatory
Creativity and Critical Thinking	3	45	2	1	Obligatory
Quantitative methods of data processing	6	45	1	2	Obligatory
Machine Learning Methods	4	45	1	2	Obligatory
Security, privacy and ethics of digital data	5	45	1	2	Obligatory
Capstone Exam in Statistics and Data Science	8	40	0	2.6	MITx*
Data Analysis in Social Science	5	60	2	2	MITx*
Fundamentals of Statistics	6	75	2	3	MITx*
Internet of things	6	60	2	2	Elective
Management of Innovation	6	45	1	2	Elective

Second year

Semester 3

COURSES	ECTS	Hours	Lectures*	Practice**	Type
Analytical techniques based on large data sets	6	60	2	2	Obligatory
Innovative project 3	6	15	0.4	0.6	Obligatory
Advanced Machine Learning Methods	6	45	1	2	Obligatory
Management of Information Services	3	45	2	1	Obligatory
Visualisation and analytical software tools	3	45	1	2	Obligatory
Cloud Analysis	6	60	2	2	Elective
Structured Analytical Techniques	6	60	2	2	Elective

Semester 4

COURSES	ECTS	Hours	Lectures*	Practice**	Type
Affective Computing	6	60	2	2	Obligatory
Social Network Analysis	6	60	2	2	Obligatory
Graduation Thesis	18	0	0	0	Obligatory