FinTech *NEW*

EIT Digital Master School track

The Fintech is the ideal master’s degree programme for the next generation of computer scientists who will apply innovative technological solutions in key emerging sectors such as Digital Finance.

Digital technology and finance have been inextricably linked for decades, but we are entering a new era. Technologies like machine learning, data analytics, biometrics or blockchain are creating new possibilities to address credit and risk management, identity management, information security, secure payments or portfolio management.

The full impact on the banking and insurance sectors is yet to be seen, but the impact on every aspect of our lives can still be only imagined. Imagine for example: what will be the impact on businesses when customers can pay anytime, anywhere, using only biometric information?

The new Fintech programme at the EIT Digital Master School is designed to provide graduates in Computer Engineering with a holistic skill set, a cross-functional perspective and an entrepreneurial mindset that will enable them to lead organisations in this new paradigm. They will not only be able to imagine these new technology applications, but to develop them and bring them to market.

First-year program at POLIMI

Politecnico di Milano offers the entry-year for Fintech providing 60 ECTS specifically designed for Computer Engineering graduates. It integrates a set of technical courses with Innovation & Entrepreneurship courses (I&E Minor) and a thematic Summer School.

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 plan, 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
  • COMPUTER SECURITY – 5 ECTS, II semester
  • FINTECH – 6 ECTS, II semester

Elective courses (3 out of 6, total ECTS = 15)

  • ARTIFICIAL NEURAL NETWORKS AND DEEP LEARNING – 5 ECTS, I semester
  • UNSTRUCTURED AND STREAMING DATA ENGINEERING – 5 ECTS, I semester
  • DATA MINING AND TEXT MINING – 5 ECTS, I semester
  • COMPUTING INFRASTRUCTURES – 5 ECTS, II semester
  • MODEL IDENTIFICATION AND DATA ANALYSIS – 5 ECTS, II semester
  • FINANCIAL RISK MANAGEMENT – 5 ECTS, II semester

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

  • STRATEGY & MARKETING – 10 ECTS, I semester
  • FINANCIAL MARKETS AND INSTITUTIONS – 5 ECTS, I semester
  • DIGITAL INNOVATION LAB – 5 ECTS, II semester
  • I&E Summer School – 4 ECTS, II semester

The Innovation & Entrepreneurship Summer School brings all EIT Digital 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 abroad at the Exit University

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 Fintech.

Contacts

Local coordinator for the Fintech track: prof. Nicola Gatti (Dept of Electronics, Information and Bioengineering)

For information, please contact Federico Schiepatti (EIT Digital programme manager at Politecnico di Milano) – email: federico.schiepatti@polimi.it

The Fintech at Polimi is a 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.