Master’s Degree in Data Science and Engineering

The master's degree in Data Science and Engineering trains professionals able to collect, manage and analyse large amounts of data and to turn them into knowledge and decisions. The first year is devoted to compulsory courses on data-driven processes, data acquisition, machine learning, statistics, visualisation and ethics, and provides a complete foundation, technical and critical. The second year offers specialist and innovation courses and ends with the master's thesis. Data science is the field in which statistics, computer science and domain knowledge meet to extract value from data. The course teaches participants to build the whole work chain: collecting data from different sources, cleaning and organising it, choosing and training machine learning models, assessing their reliability and communicating results through visual representations that are clear and understandable even to non-experts.

Teaching comprises lectures, exercises, laboratories and the final thesis work. The course takes place in person in Turin, at the Department of Control and Computer Engineering. The page does not give the language of delivery, which can be assumed to be Italian, even though the title is in English. It does not give the duration either, which for a master's degree is normally two years, or the credits, whether there is an internship, the cost, the start dates and the enrolment deadlines. The attention to ethics, indicated from the first year, reflects the fact that the use of data raises questions of privacy, fairness and accountability. Students learn to recognise the risks of bias in data and algorithms and to consider the impact of their choices on people, an aspect increasingly demanded by companies and by European regulation on artificial intelligence.

The aim is to train data scientists, data engineers, big data engineers, machine learning engineers and data engineers, figures in great demand in companies, consulting firms, financial services, healthcare and research. The course is aimed at graduates in disciplines related to data science and engineering, and access is open, but includes a formal verification that the required prerequisites are met. It is suited to those who want a solid grounding in computer science, mathematics and statistics, with a sensitivity to the ethical aspects of data use. The Polytechnic University of Turin is ranked 241st in the 2025 QS world rankings and 103rd in the European ones. The cost is not public. The second year, with specialist and innovation courses, makes it possible to steer one's profile towards fields such as data engineering, machine learning or the analysis of large volumes of information. The master's thesis offers the chance to develop an original project, often linked to research or to an experience in a company, and to build a portfolio to present to future employers.