Overview
The MSc in Financial Data Intelligence combines finance and advanced data analysis to equip students with expertise in AI, cryptocurrencies, neural networks, and fintech. The program emphasizes hands-on, experiential learning through real-world projects and internships—preparing graduates for roles in finance, insurance, and technology.
Semester starts
September
Degree info
- MSc in Financial Data Intelligence
- 2 academic years / 120 ECTS
- Language of instruction: English
- Tuition fee:
- M1 + M2: Full-time / Alternance – €28,900
- M2 Direct: Full-time – €18,500 | Alternance – €16,500
Edunation application period
Regular Admissions
• Rolling: 25.05.2026
- Integrate finance knowledge with advanced data analytics and AI
- Skill up in data management, time-series analysis, and programming (Python/R)
- Study emerging topics such as cryptocurrencies, neural networks, and fintech innovations
- Prepare with practical experience through real-world projects and internships
Year 1 (M1)
- Core modules include data analysis, advanced statistics, programming (Python/R), decision science, AI, machine learning, and time-series analysis.
- French and optional language studies.
- At least a 2-month internship in France or abroad.
Year 2 (M2)
- Specialisations in advanced financial modelling, blockchain, crypto-assets, deep learning, neural networks, and text analytics.
- Includes a dissertation-style Graduating Project.
- Minimum 4-month internship.
Graduates pursue roles such as:
- Financial Analyst
- Data Scientist
- Credit Analyst
- Data Flow Specialist
- Business Intelligence Manager
- Operations Manager
Career planning is supported by Rennes SB’s dedicated Career Centre and alumni network.
- For M1 entry: Bachelor’s degree (minimum 3 years)
- For M2 entry: 4-year Bachelor’s degree or 3-year degree with at least 3 years of relevant work experience
- English proficiency:
- TOEIC: minimum 785 (800+ needed for graduation)
- IELTS: minimum 6.0 (6.5+ for diploma eligibility)
- TOEFL: minimum 80
- Cambridge English B2 or higher
- Exemption possible for those with prior education in English
Further information about the tuition fee and available scholarships for the program can be found on the university page.
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