Fintech (FT)

Degree:
Fintech (FT)

ECTS:
120 ECTS

Field of Study:
Computer Science and Information Technology

Duration:
2 years, full-time

Eligibility:
Hold a Bachelor of Science or be in the final year of studies of... (read more).

Tuition fees & scholarships:
For EU and non-EU citizens.
More information.

Language of Instruction:
English
More information.

Fintech (FT)

Why study Fintech at EIT Digital Master School?

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. Imaginem 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 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.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the I&E minor please click here.

Where can I study Fintech?

Entry 1st Year

  • Eötvös Lorand University (ELTE), Hungary
  • Politecnico di Milano (POLIMI), Italy
  • Technical University of Madrid, Spain
  • Université Côte d’Azur (UCA), France
  • University of Rennes 1, France
  • University of Trento, Italy

Exit 2nd Year

  • Eötvös Lorand University (ELTE), Hungary
  • Université Côte d’Azur (UCA), France
  • University of Rennes 1, France
  • University of Trento, Italy

What can I study at the entry and exit points?

Entry - 1st year, common courses

Eötvös Lorand University (ELTE), Hungary

Contact: Molnár Bálint, molnarba@inf.elte.hu

Entry year

Semester 1

  • Innovation & Entrepreneurship Basics (5ECTS)
  • Principles of Artificial Intelligence (5ECTS)
  • Introduction to Finance (5ECTS)
  • Introduction to Data Science (5ECTS)
  • Introduction to Computer Security (5ECTS)
  • Business Development Laboratory I (5ECTS)

Semester 2

  • Information Security Management (6ECTS)
  • Business Development Laboratory II (5ECTS)
  • Machine Learning (5ECTS)
  • Service Science (5ECTS)
  • Management skills for tech entrepreneurs (5ECTS)
  • Summer School in Fintech Entrepreneurship (4ECTS)

University of Trento (UNITN), Italy

Contact: Fabio Massacci, fabio.massacci@unitn.it

Entry year

Semester 1

  • Innovation and Entrepreneurship Basic
  • Introd. to Computer and Network Security
  • Machine Learning
  • Web architectures
  • Concurrency
  • International Accounting and Finance I: International Accounting 2
  • Financial Mathematics 2
  • Statistical models 3

Semester 2

  • Business Development Laboratory (9ECTS)
  • ICT Innovation (includes EIT Summer School) (9ECTS)
  • Agent-Oriented Software Engineering
  • Cyber Security Risk Assessment
  • Deep learning
  • Distributed systems 1
  • International Accounting and Finance II: International Corporate Finance 2
  • Workshop on Financial simulation
  • Intelligent Optimization for data science

Université Côte d’Azur (UCA), France

Contact: Francoise BAUDE, Francoise.BAUDE@univ-cotedazur.fr

Entry year

Semester 1

  • Innovation and Entrepreneurship Basic (3 ECTS)
  • BDL Part I (3 ECTS)
  • Elective course in I&E/FinTech (3ECTS)
  • An algorithmic approach to Distributed systems (3 ECTS)
  • Data Mining (3ECTS)
  • Multi tiers applications (3 ECTS)
  • Software security (3 ECTS)
  • Smart Cards and Trusted infrastructures (3 ECTS)
  • Models and computation for risk coverage (6 ECTS)

Semester 2

  • BDL Part II (FinTech cases) & Summer school (5+4 ECTS)
  • Elective courses in I&E (6 ECTS)
  • From BD to Big Data (MOOC) (3ECTS)
  • Advanced networks and middleware (3ECTS)
  • Parallel and distributed programming ( 3ECTS)
  • Data Valorization or AI (ML and Optimization) (3ECTS)
  • Software Engineering (3ECTS)

University of Rennes 1 (UR1), France

Contact: Alvaro Pina Stranger, alvaro.pina-stranger@univ-rennes1.fr

Entry year

Semester 1

  • Innovation and Entrepreneurship Basics (5ECTS)
  • Business Development Laboratory 1 (5ECTS) 
  • Introduction to Finance (4ECTS)
  • Technological Watch on Fintech (Tech) (4ECTS)
  • Advance Data Bases (4ECTS) 
  • Object oriented analyses and design (5ECTS)              
  • Concurrency and cooperation in Systems and Networks (4ECTS)                     

Semester 2

  • Intangible assets management (elective) (5ECTS)        
  • Business Development Laboratory 2 (5ECTS) 
  • Summer School on Fintech (4ECTS)
  • Fintech technologies and services (Tech) (4ECTS)
  • FinTech business cases (4ECTS)
  • Machine learning (4ECTS)      
  • Distributed Information Systems (5ECTS)                   
  • Information security (3ECTS)             

Politecnico di Milano (POLIMI), Italy

Contact; Federico Schiepatti, federico.schiepatti@polimi.it

Entry year

Semester 1

  • Data Bases 2 (5ECTS)
  • Software Engineering 2 (5ECTS)
  • Computing Infrastructures (5ECTS)
  • Machine Learning (6ECTS)
  • Electives (Recommender Systems, Data Mining and Text Mining, Advanced Algorithms and Parallel Programming, Data Intelligence Applications, Artificial Neural Networks and Deep Learning) (10ECTS)

Semester 2

  • Electives (Financial Risk Management, Computer Security, Cryptography and Architectures for Computer Security) (5ECTS)
  • I&E Minor
  • Strategy and Marketing (10ECTS)
  • Financial Markets and Institutions (5ECTS)
  • Digital Business Innovation Lab (5ECTS

I&E Summer School (4ECTS)

Technical University of Madrid (UPM)

Contact; Alejandro Rodríguez González, alejandro.rg@upm.es

Entry year

Semester 1

  • Introduction to Innovation and Entrepreneurship management (6 ECTS)
  • Fundamentals of finance  (6ECTS)
  • Seminars on Systems for Finance  (4 ECTS)
  • Agile Software Development: Agile Practices and Agile Usability (4 ECTS)                
  • Software Verification and Validation (6 ECTS)           
  • Computer security (4 ECTS)               

Semester 2

  • Introduction to technology watch and competitive intelligence (1 ECTS)          
  • I&E Seminars (5 ECTS)          
  • Entrepreneurship and business modelling  (6 ECTS)    
  • Launching of ICT product/services to the market (2 ECTS)      
  • Summer School (4 ECTS)       
  • Subject about data analysis/management to be defined (5 ECTS)                      
  • Blockchain and distributed systems and services (3 ECTS)                   
  • Rigorous Software Development (4 ECTS)                  

Exit - 2nd year, specialisation

Eötvös Lorand University (ELTE), Hungary

Contact: Molnár Bálint, molnarba@inf.elte.hu

Exit year (specialization): Systems Engineering for Financial Technologies

The specialization will provide content oriented towards “Systems Engineering for Financial Technologies”. It includes courses in Consultation for Dissertation (Fintech Lab.), Development of Financial IT Systems, Advanced Machine Learning, Cryptography, Business Intelligence and Data Visualization, among others.

Semester 1

  • Consultation for Dissertation (Fintech Lab.) (4 ECTS)
  • Advanced Machine Learning (5 ECTS)
  • Cryptography (5 ECTS)
  • I&E Study (6 ECTS)
  • Development of Financial IT Systems (4 ECTS)
  • Business Intelligence and Data Visualization (4 ECTS)
  • Optional course on Finance and Financial Technologies (2 ECTS)

Semester 2

  • Master Thesis (30 ECTS)

University of Trento (UNITN), Italy

Contact: Fabio Massacci, fabio.massacci@unitn.it

Exit year (specialization): Distributed Fintech systems

The specialization will provide content oriented towards distributed FinTech systems that uses advanced machine intelligence and distributed algorithms while providing open and secure access. It includes courses in advanced learning methods, advanced distributed secure systems (blockchain and consensus, cryptography and zero knowledge) and evolutionary algorithms and AI and key notions of financial risks managements and markets.

Semester 1

  • Innov. & Entrepreneurship Studies in ICT
  • Machine Learning
  • Concurrency
  • Distributed systems 2
  • Complexity, Cryptography and FinTech
  • Bio-Inspired Artificial Intelligence
  • International Accounting and Finance I: International Accounting 2
  • (Financial) Risk management
  • Financial Markets and Economic Activity
  • Research Project (in alternative to any of the above)

Semester 2

  • Company internship (6ECTS)
  • Master Thesis (24ECTS)

Université Côte d’Azur (UCA), France

Contact: Francoise BAUDE, Francoise.BAUDE@univ-cotedazur.fr

Exit year (specialization): Fintech for Financial and Insurance Business

The specialization will provide content oriented towards Financial or Insurance institution’s needs, related to their common B2C activities but also to their investment activities on financial markets.  This means courses content will include an introduction to financial markets, some mathematical and digitialized tools for modeling how financial products are priced and traded on such markets, and how associated risks can be covered.

Semester 1

  • I&E Study (6ECTS)
  • Models and computation for risk coverage (6 ECTS)
  • Elective in Security in Fintech (2+2+2ECTS)
  • Project in Fintech (6 ECTS)
  • Elective in CS (Big Data, Cloud, Distr. Systems, Data Science, Web Science) (2+2+2ECTS)

Semester 2

  • Company internship and Master Thesis (30ECTS)

University of Rennes 1 (UR1), France

Contact: Alvaro Pina Stranger, alvaro.pina-stranger@univ-rennes1.fr

Exit year (specialization): Fintech for Social Impact

Rennes 1 will provide specialization contents oriented to advanced data management, using scalable data analytics methods and techniques. Some of these techniques are distributed data management, distributed and parallel query processing, NoSQL technologies, NewSQL technologies, complex event processing, scalable data management ecosystems, and cloud infrastructure, specifically, computing and storage, and elastic management. Rennes 1 will approach its contents from a social point of view, this is, bearing in mind that Fintech applications have a positive impact on society, specially, democratising financial knowledge and granting access to a wide array of financial tools.

Semester 1

  • I&E study on fintech (6ECTS) 
  • Fintech for social impact (6ECTS)
  • Fintech Project (Tech) (5ECTS)
  • Data Mining (5ECTS) 
  • Machin learning advanced (5ECTS)                
  • Cloud and Big Data Management (3ECTS)                 

Semester 2

  • Master Thesis (30ECTS)

Period 1 Application Deadline: February 3

Have questions? We are here to help!

Degree:
Fintech (FT)
ECTS:
120 ECTS
Field of Study:
Computer Science and Information Technology
Duration:
2 years, full-time
Eligibility:
Hold a Backelor of Science or be in the final year of studies of... (read more).
Tuition fees & scholarships:
For EU and non-EU citizens.
More information.
Language of Instruction:
English
More information.

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