FinTech Exit program

Second Year 2026-27  

The specialization provides 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 includes 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. As such institutions also offer online platforms for their clients, the other aspect of the specialization is about how such multi-tiers and networked software are developed and secured in face of risks of various forms all along the digitalized chain. Say another way, the M2 track targets front, middle and back offices needs of financial institutions.

It is grounded on a specialisation created 25 years ago at Polytech, "Informatique et Mathématiques Appliquées à la Finance et à l'Assurance" (IMAFA). Since then, a set of industrial contacts, both local, regional, national and even european wide, and a strong alumni network exist, and will be shared with EIT Digital students. 

Check here for more information about studying at Sophia Tech campus of UniCA as international student.

Syllabus of some of the exit courses, specific or not to FinTech track are collected in a shared zip file with our applicants on demand, and with enrolled students.

Semester 3

Mandatory as elective courses are most of the times spread on either of the two periods (quarters of consecutive 8 weeks including last one for the written exam). The semester lasts from early september up to early march. The indicated slot of each course is subject to modification.

Compulsory courses (6 ECTS)

Models & computation for risk coverage (6  ECTS)	Coefficient
Introduction to Insurance and Actuarial calculus	3
Machine learning for actuariat	3

Elective courses (12 ECTS): choose sufficient courses to collect 12 ECTS (or more) 

Period 1 Elective courses : mid sept-mid nov	Schedule
EIEN947 (Panorama of) Big Data technologies	Monday morning	Coefficient 2
EIENIV9 Information visualisation (in French TBC)	Monday morning	Coefficient 2
EIESIV9 Vie privée et sécurité	Monday morning	Coefficient 2
EIIN932 An algorithmic approach to distributed systems	Monday afternoon	Coefficient 2
EIIN935 Data Science	Monday afternoon	Coefficient 2
EIENAA9 Applied A.I.	Tuesday morning	Coefficient 2
EIENRE9 Reinforcement learning	Monday afternoon	Coefficient 2
EIESIW9 Semantic Web and Linked data	Tuesday morning	Coefficient 2
SMEUB300 Graph algorithms and combinatorial optim	Tuesday afternoon	Coefficient 2
EIMAN952 Cybersécurité-1 (in French)	Tuesday morning	Coefficient 2
DS4H Digitalization & environment: friend or foe	Thursday morning, partly spans also on period 2, from Oct 8	Coefficient 2
DS4H Quantum technologies	Thursday morning (Sciences faculty campus "Valrose") partly spans also on period 2, from Oct 8	Coefficient 2
ELMI (introduction to) Behavioural economics	From Monday Sept 21 2pm, to Monday Nov 2 afternoon, plus Wed afternoon 30/09, 7/10, 21/10 (Economy faculty campus "St Jean Angely")	Coefficient 2
ELMI Digital economics	xxx (Economics faculty campus "St Jean Angely") partly spans also on period 2	Coefficient 2
Advanced Optimisation	Wednesday afternoon, Sciences faculty campus "Valrose" from 1pm	Coefficient 2+2
EIMAAI905 Finance de marché (in French)	From Oct 26 afternoon, 3 full days	Coefficient 2

 

Period 2 Elective courses : Nov-Jan	Schedule
SMEFI392 Agentic A.I.	New course, Friday mornings mainly, from end of oct	Coefficient 2
EIEIEMAF9 From NLP Foundations to Generative and Agentic AI	Monday morning	Coefficient 2
EIIN906B Blockhain and privacy	Monday morning	Coefficient 2
EIENAT9 Advanced topics in deep learning (maths oriented)	Monday afternoon	Coefficient 2
EIIN952 Advanced deep learning (CS oriented)	Monday afternoon	Coefficient 2
EIENAI9 AI engineering	Tuesday afternoon	Coefficient 2
EIEIN908 Machine learning for networks	Tuesday morning	Coefficient 2
EIERO921 Reinforcement learning (from Robotics dept)	Tuesday afternoon, but also some thursdays and fridays (period 2)	Coefficient 2
EISIK9 Knowledge graph -based A.I.	Tuesday afternoon	Coefficient 2
EINC905 Sécurité des applications web (can be taught in English)	Tuesday morning	Coefficient 2
EIIN943 Large scale distributed systems	Tuesday afternoon	Coefficient 2
SMEUB312 Virtualized infrastructures for cloud computing	Wednesday morning	Coefficient 2

Project Fin d'Etudes in FinTech (6 ECTS)

Project Fin d'Etudes	Schedule
Personal research and/or development project in FinTech	Starts september till early march, 4 weeks almost full time in Feb	6 ECTS

Innovation and Entrepreunership module (6 ECTS)

Besides, the student must develop a mandatory Innovation and Entrepreneurship (I&E) work of 6 ECTS, as mandated by EIT Digital I&E common specification of masters. This work is coached by the UniCA local coordinator in I&E and spans the whole October-March period once per two weeks starting early of october in general. The goal is to reuse on-line I&E material from the Moodle, common to all EIT Digital masters, and apply this to selected business cases. These business cases are most of the time proposed by the various EIT Digital Action Lines partners or the local ecosystem. 

Semester 4

Internship/Master thesis (30 ECTS, 4 to 6 months max)

This internship can be done either in our partner research institutions teams at I3S, LJAD, INRIA even if for EIT Digital students, industrial internship is the preferred choice. We provide support and guidance to this aim. Including for outside the Nice - Sophia-Antipolis Technology park, eg. in the Paris area. The evaluation of the internship work encompasses three aspects: work achieved as measured by the internship supervisor, written thesis submitted at the end of August and evaluated by the university supervisor, oral defense organized early September (can happen in visio conference mode) and evaluated by a jury of professors. Positions as employee in a company can also be turned as the mandatory period for preparing the master thesis, as soon as the content is approved by the local track coordinator.

Master thesis internships of former students

This is one way to let known who are the students that have studied one year in FinTech at UCA. This includes the name of their  entry point. And what are the topics that they have been able to be in touch with, that yield to their master thesis, and if available, where they are now employed.

Master 2, Cohort 2022-23 

Internship Topic/Title	Team	Student(s)
Fullstack Developer for Form and Signicat Mint Products	Signicat, EU	Radu Emanuel Ioan (UPM) [now at xxx]
Building a multi-component cloud-based funding platform	Cogito Technologies, Romania	Frey Balazs Konrad (UNITN) [now at xxx]
Blockchain software development	Tehnolifetops, Romania	Dragomir Julian-Valentin (UPM) [now xxx]

Master 2, Cohort 2023-24 

Internship Topic/Title	Team	Student(s)
Development of mobile applications for controlling IoT devices	Enhancers, Italy	Bianchin Simone (UNITN) [now at xxx]
Smart Contracts: A Research-Driven Approach to Enhance Upgradeability	INRIA Sophia-Antipolis, France	Rigotti Giovanni (UNITN) [now at xxx]
The Project Management Officer’s Role in facilitating the IT Integration of UBS and Credit Suisse	UBS, Luxembourg	Sorrentino Mario (UNITN) [now at UBS]

Master 2, Cohort 2024-25 

Internship Topic/Title	Team	Student(s)
Fraud detection and analysis in Shopify e-commerce store	Shrooly, Hungary	Dienes Adam (ELTE) [now at Shopify]
Benchmarking FATES properties for LLMs	INRIA / CNRS I3S, Sophia-Antipolis, France	Beregi Bence Zsolt (ELTE) [now at xxx]

Master 2, Cohort 2025-26 

Internship Topic/Title	Team	Student(s)
Engineering Genuine Interaction: Building Organic Social Networks Without Algorithmic Manipulation	EU-located own startup	Dessolier Thomas (UPM) [now at xxx]
Business Intelligence engineering	Amazon, Luxembourg	Partasidis Christos (POLIMI) [now at xxx]
Fullstack software development	Inspeerity, PL	Przyborowski Bartolmiej (ELTE) [now at xxx]