Universitat Politècnica de Catalunya Master's degree in Data Science

The Universitat Politècnica de Catalunya (UPC) is offering an interdisciplinary Master's degree in Data Science focusing on the essential pillars of data science: data management and data analytics. This programme provides a holistic view of the field and covers cross-disciplinary topics including ethics and entrepreneurship. Graduates of this programme will be highly qualified professionals and highly in demand in both academia and industry. 

This programme also seeks to foster the exchange of information to boost education, research and innovation which are critical to data science. This programme is a two-year programme, is taught entirely in English, and covers 120 ECTS. This is an in-person programme with a limited number of admissions (maximum 40 students). 

Programme structure

Semester one

• Algorithms, data structures and databases
• Data warehousing
• Multivariate analysis
• Process-oriented data science
• Statistical inference and modelling

Semester two

• Big Data Management
• Machine Learning
• Mining Unstructured Data
• Semantic Data Management
• Advanced Statistical Modelling
• Algorithmics for Data Mining
• Bioinformatics and Statistical Genetics
• Cloud Computing and Big Data Analytics
• Computer Vision
• Data Management for Transport
• Data Visualisation
• Debates on Ethics of Data Science
• Human Language Engineering
• Innovation and Research Techniques and Methodology in Informatics
• Interdisciplinary Innovation Project
• Introduction to Quantitative Linguistics
• Introduction to Research
• Optimisation Techniques for Data Mining
• Social and Complex Networks
• Software Development for Geographic and Spatial Information
• Techniques and Tools for Bioinformatics
• Viability of Business Projects

Semester three course options

• Advanced Machine Learning
• Advanced Multivariate Analysis
• Data Analysis and Knowledge Discovery
• Data Visualization
• Information Retrieval and Recommender Systems
• Machine Learning Systems in Production (Mlops)
• Modeling and Solving Discrete Optimization Problems 

Semester four

• Master's thesis

Requirements

As this degree is taught entirely in English students must certify a B2 level (CEFR) of English or equivalent. Holders of Bachelor's degrees in Informatics Engineering, Mathematics, Physics, Statistics, Telecommunications Science and Technology, Telecommunications technologies and Services Engineering or Electronic Engineering and Telecommunications, Civil Engineering or Industrial Technology Engineering or Industrial Electronics and Automatic Control Engineering will be considered for direct admission. Holders of Bachelor's degrees in Bioinformatics, Artificial Intelligence or Data Science and Engineering will be considered for admission as well.