EIT Digital

Data Science

Within the EIT Digital programme in Data Science (DSC) students learn about scalable data collection techniques, data analysis methods, and a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, and visualization.

Big Data can provide important insights into business processes and uncover opportunities to cut costs and increase efficiency. Furthermore, data analytics enables organisations to effectively target specific audiences and to adapt product characteristics based on customer preferences. It can also be used to improve the decision-making process.

First-year program at POLIMI

Politecnico di Milano offers the first year in Data Science providing 60 ECTS. It integrates a set of computer science courses (36 ECTS) with Innovation & Entrepreneurship courses (20 ECTS) and a thematic I&E Summer School (4 ECTS).

The following table summarizes the study plan for the first year. Please notice that, on the basis of the curriculum of previous studies, the Admission Committee at Politecnico can specify some little directions on the individual study plans.

First SemesterECTSSecond Semester
Technical Major - mandatory courses (21 ECTS)
Data Bases II5
Software Engineering II5
5Computing Infrastructures
6Machine Learning
Technical Major - elective courses (15 ECTS - make 3 choices)
Uncertainty in Artificial Intelligence5
Recommender Systems5
Distributed Systems5
Data Mining5
Advanced Algorithms and Parallel Programming5
5Multidisciplinary Project
5Natural Language Processing
5Computer Security
I&E Minor - mandatory courses (24 ECTS )
I&E Basic (5 ECTS, 1 choice)
High-Tech Startups: creating and scaling-up5
5High-Tech Entrepreneurship
5Digital Business
I&E Business Development Lab (10 ECTS)
10Digital Business Lab
I&E Complementary skills (5 ECTS, 1 choice)
Creativity, Science and Innovation5
5Communication and Argumentation
I&E Summer School (4 ECTS in the summer)(*)

(*) The Summer School takes place between the first and second year, being computed among the 60 ECTS of the first year. It brings students together for two weeks to work in groups on a business modelling and planning project in the context of a societally relevant thematic area. Summer Schools take place at different locations throughout Europe, supporting a multidisciplinary and international dimension, with a clear EIT Digital flavour to education. You can choose the one you like to attend from the catalogue of Summer Schools organised by EIT Digital and published at the beginning of the first semester.

Detailed descriptions for Polimi courses on our Manifesto degli Studi

Second year

During the second year, students have the option to specialise in one of the technical areas that are offered by their respective Exit Universities, providing 30 ECTS of exams + 30 ECTS for the Thesis. Please, refer to their local programs for the second year study plans, you can find them on the EIT Digital Master School webpage for Data Science.

Double Degree

At the end of the programme, a Master degree will be awarded by both universities involved in the mobility pathway (namely, by Polimi and by your exit university). Moreover you will receive an “EIT label” certificate, which attests to the Innovation and Entrepreneurship skills acquired during the programme.

EIT label: a seal of quality for entrepreneurial education

The EIT Label, granted by the European Institute of Innovation and Technology (EIT), recognises education programmes that develop practical skills in innovation and entrepreneurship, preparing students to address real-world challenges. Courses that bear our EIT Label are all guaranteed to make sure you’re getting hands-on experience across Europe that directly prepares you for your chosen sector and connects you to the like-minded people ready to help get your ideas off the ground.

The Data Science major at Polimi is a specific track of the Study Course in Computer Science and Engineering (MSc). Therefore, this entry university is best suited for applicants with a bachelor degree in Computer Engineering (or equivalent programmes). This means a strong base of ICT, computer science, programming and engineering courses in your transcript of records, including physics and math courses at academic level.

Contacts

Paolo Cremonesi
DSC Coordinator at Polimi
Federico Schiepatti
EIT Digital Programme Manager at Polimi
For info: federico.schiepatti@polimi.it