Bachelor's Degree 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
Introduction to Programming 1 1st Semester Compulsory INF 6.0
Linear Algebra and Analytical Geometry 1 1st Semester Compulsory MAT 6.0
Mathematical Analysis I 1 1st Semester Compulsory MAT 6.0
Optimization and Graphs Analysis 1 1st Semester Compulsory MAT 6.0
Physics 1 1st Semester Compulsory PHY 6.0
Introduction to Data Science and Engineering 1 2nd Semester Compulsory INF 6.0
Linear Algebra and Scientific Computing 1 2nd Semester Compulsory MAT 6.0
Mathematical Analysis II 1 2nd Semester Compulsory MAT 6.0
Object-Oriented Programming 1 2nd Semester Compulsory INF 6.0
Statistics 1 2nd Semester Compulsory MAT 6.0
Course unit title Year Regime Type Subject area ECTS credits
Continuous Optimization 2 1st Semester Compulsory MAT 6.0
Data Management Systems 2 1st Semester Compulsory INF 6.0
Data Structures and Algorithms 2 1st Semester Compulsory INF 6.0
Statistics for Data Science 2 1st Semester Compulsory MAT 6.0
Topics on Artificial Intelligence 2 1st Semester Compulsory INF 6.0
Data Analysis and Transformation 2 2nd Semester Compulsory INF 6.0
Distributed Systems 2 2nd Semester Compulsory INF 6.0
Machine Learning 2 2nd Semester Compulsory INF 6.0
Management and Innovation Processes 2 2nd Semester Compulsory SSLM 6.0
Sensing and Actuation Networks and Systems 2 2nd Semester Compulsory INF 6.0
Course unit title Year Regime Type Subject area ECTS credits
Computing Systems and Infrastructures 3 1st Semester Compulsory INF 6.0
Data Visualization 3 1st Semester Compulsory INF 6.0
Data, Society and Law 3 1st Semester Compulsory SSLM 6.0
Feature Engineering 3 1st Semester Compulsory INF 6.0
Natural Language Processing 3 1st Semester Compulsory INF 6.0
Audiovisual Signals Processing 3 2nd Semester Compulsory INF 6.0
Data Science and Engineering Project 3 2nd Semester Compulsory INF 12.0
Probabilistic Machine Learning and Pattern Recognition 3 2nd Semester Compulsory INF 6.0
Rules
  • The student should register, in the 2nd semester, in a curricular unit of 6 ECTS, among the curricular units taught in the UC, through the open list rule. The register is subject to approval by the course Coordinator.