Master's in Data Science and Engineering

The work developed by a student during one academic year, according to the indicative plan of the course and on a full time basis, totals 60 ECTS.


Study Programme

Course unit title Year Regime Type Subject area ECTS credits
Human-Centric Artificial Intelligence 1 1st Semester Compulsory INF 6.0
Project Management 1 1st Semester Compulsory SSLM 6.0
Security and Privacy 1 1st Semester Compulsory INF 6.0
Service Engineering 1 1st Semester Compulsory INF 6.0
Advanced Data Visualization 1 2nd Semester Compulsory INF 6.0
Advanced Machine Learning 1 2nd Semester Compulsory INF 6.0
Data Fusion and Analysis 1 2nd Semester Compulsory INF 6.0
Decision Support and Risk Analysis 1 2nd Semester Compulsory INF 6.0
Communicating with Data 1 1st Semester Elective * OP 6.0
Data Science Topics 1 1st Semester Elective * OP 6.0
Data Science in Earth and Space Sciences 1 1st Semester Elective * OP 6.0
Data Science in Physics 1 1st Semester Elective * OP 6.0
Industrial Statistics 1 1st Semester Elective * OP 6.0
Advanced Optimization 1 2nd Semester Elective * OP 6.0
Complex Systems 1 2nd Semester Elective * OP 6.0
Evolutionary Computation 1 2nd Semester Elective * OP 6.0
Geometric Data Analysis 1 2nd Semester Elective * OP 6.0
Knowledge Representation 1 2nd Semester Elective * OP 6.0
Simulation 1 2nd Semester Elective * OP 6.0
Spatial Data Analysis 1 2nd Semester Elective * OP 6.0
Course unit title Year Regime Type Subject area ECTS credits
Thesis/Project 2 Annual Compulsory INF 42.0
Data Analytics Technology 2 1st Semester Compulsory INF 6.0
Time Series Analysis and Prediction 2 1st Semester Compulsory INF 6.0
Advanced Infrastructures for Data Science 2 1st Semester Elective * OP 6.0
Bioinformatics 2 1st Semester Elective * OP 6.0
Heuristic Methods 2 1st Semester Elective * OP 6.0

The optional course units are offered on a yearly basis, depending on the availability of the Organic Unit