MSc in Financial Data Intelligence
Rennes, France
DURATION
15 Months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 18,200 *
STUDY FORMAT
On-Campus
* for non-EU students | €16.200 for EU students
Introduction
Become an expert in the future of Finance! We welcome applicants with a non-finance background in, for example, engineering, maths, and economics, as knowing how to work with data is the key starting skill that will benefit you on this journey.
Mission
Finance is rapidly changing. Data science and artificial intelligence are revolutionizing how finance is practiced. The MSc in Financial Data Intelligence prepares you to be part of where finance is going by training you in modern data-driven finance abilities.
6 reasons to join this program
- Linked to the first AI business-research center in Europe.
- A solid base in AI research and developing solutions for AI-driven business.
- An innovative program that prepares students for a successful, international career.
- A new specialization in cybersecurity.
- Located in Rennes, a vibrant and cosmopolitan city with a high quality of life.
- An international and multicultural program in a triple-accredited school.
Calendar
Intake: September 2022
- Modules: September 2022 to April 2023
- Internship (4 to 6-month duration): May 2023 up to February 2024
- Graduating project: October 2023
Student Life
Resident permit
The international office of the Rennes School of Business helps students to obtain a resident permit.
Scholarships
Rennes School of Business offers scholarships depending on academic performance or social criteria.
Accommodation
Rennes School of Business helps international students to find suitable accommodation (student residence, private house, shared flat, family homestay) in the city. A residence campus for international students is available on the campus.
Gallery
Admissions
Curriculum
Program
NB: In 2021, the MSc in Financial Data Intelligence is opening a new specialization in cybersecurity.
Semester 1
Compulsory modules
- Financial Theory
- Economic Modelling
- Introduction to Financial Econometrics
- Financial Equity & Portfolio Management
- Coding and Data Science for Accounting and Finance
- Ethics and Corporate Social Responsibility in Finance
Semester 2
Compulsory modules, Specialization: AI-driven finance
- Financial Engineering and Commodity Trading
- Empirical Methods in Finance
- Deep Learning in Neural Networks for Finance
- AI and FinTech
- Recent Topics in AI and Finance
or
Compulsory modules, Specialization: FDI cybersecurity
- Cyber Security Management
- Key Challenges with Cryptocurrencies
- Geopolitics of cybersecurity
- AI and cybersecurity (+cryptography)
- Applied Cyber security Concepts Project / Recent topics in cybersecurity
Program Tuition Fee
Career Opportunities
Career
Investment Banker, Investment Fund Trader, Mergers and Acquisitions Advisor, Corporate Financing Manager.