Data Science

General EIT Digital Data Science track

Technological and societal changes led to an explosion of digitally available data. Exploiting the available data to its fullest extent, in order to improve decision making, increase productivity, and deepen our understanding of scientific questions, is one of today’s major challenges. Data science is an emerging discipline that aims to address this challenge.  This is an opportune time to pursue training in both a challenging and rewarding new field deemed by the Harvard Business Review to offer the “… sexiest job of the 21st century”.

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.

First-year program at POLIMI

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

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

Technical common base – mandatory courses (total ECTS = 21)

  • DATA BASES 2 – 5 ECTS, I semester
  • SOFTWARE ENGINEERING 2 – 5 ECTS, I semester
  • COMPUTING INFRASTRUCTURES – 5 ECTS, II semester
  • MACHINE LEARNING – 6 ECTS, II semester

Technical core – elective courses (3 out of 6, total ECTS = 15)

  • SOFT COMPUTING – 5 ECTS, I semester
  • DISTRIBUTED SYSTEMS – 5 ECTS, I semester
  • RECOMMENDER SYSTEMS – 5 ECTS, I semester
  • PRINCIPLES OF PROGRAMMING LANGUAGES – 5 ECTS, I semester
  • DATA MINING AND TEXT MINING – 5 ECTS, II semester
  • ADVANCED ALGORITHMS AND PARALLEL PROGRAMMING – 5 ECTS, II semester

I&E Minor – Innovation & Entrepreneurship courses (Total ECTS = 24)

  • STRATEGY & MARKETING (I&E Basic + I&E Elective) – 10 ECTS, I semester
  • DESIGNING DIGITAL BUSINESS INNOVATION LAB (I&E Business Development Lab) – 10 ECTS, II semester
  • I&E Summer School – 4 ECTS, II semester

The Summer School 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.

The I&E Minor will be increasingly offered in a blended format, with online modules and innovative teaching methods (blended I&E Education).

Course information and descriptions 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 the Exit Universities. Please, refer to their local programs for the second year or find them out on the EIT Digital Master School webpage for Data Science.

Contacts

Program Coordinator: Prof. Paolo Cremonesi
Politecnico di Milano
Department of Electronics, Information and Bio-engineering (DEIB)
Email: paolo.cremonesi@polimi.it

For information:
Federico Schiepatti (EIT Digital programme manager at Politecnico di Milano)
Email: federico.schiepatti@polimi.it

The Data Science major at Polimi is a specific track of the Study Course in Computer Science and Engineering (M.Sc.). 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.