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The MSc Financial Data Intelligence is a cutting-edge programme designed by Rennes School of Business to meet the growing demand for skilled professionals in financial, data, and technology-driven environments. Combining the latest developments in financial technology, data science, and artificial intelligence, this master of science offers a unique learning journey that prepares students to lead in the evolving world of finance and digital innovation. The programme bridges the gap between finance, analytics, and technology, equipping students with both theoretical understanding and practical expertise. Through advanced modules, hands-on projects, and internships, participants gain the tools to make data-driven decisions in sectors such as banking, investment companies, insurance, and the broader financial services industry. Delivered by a leading institution in France, this programme offers a transformative educational experience that is both rigorous and relevant.
Each programme is supported by an external advisory board composed of industry professionals, ensuring that programmes are aligned with market realities and employer expectations.
Learn more about our External Advisory Boards
Degree : Master of Science + Grade de Master Diplôme Supérieur en Analyse, Intelligence et Sécurité des Données – Niveau 7 RNCP Titre No. 39273
Campus : Rennes
Duration : 1 or 2 years
Format : Full-time
Teaching language : English
Entry requirements : Bac +3 and Bac +4
Any questions about this programmme?
Contact your admissions Advisor.
Admissions Advisor
International Country Managers
Prepare to tackle the challenges of modern finance by combining data analysis, financial intelligence and market strategy.
Master Year 1 (M1)
The Master 1 in Financial Data Intelligence offers cutting-edge training, combining finance, data management and artificial intelligence. Students acquire solid skills in data analysis, advanced statistics and programming, while learning about key concepts such as decision science, artificial intelligence and machine learning. The programme also includes practical modules such as data management and time series analysis, enabling students to develop concrete data analytics projects.
Find out more about the programme modules by downloading the brochure.
LANGUAGES
PROFESSIONAL EXPERIENCE
Master Year 2 (M2)
The Master 2 in Financial Data Intelligence offers an in-depth specialisation in finance and advanced technologies, preparing students to become experts in data analysis applied to finance. They explore key areas such as advanced financial modelling, blockchain, crypto-assets, and artificial intelligence applied to finance. With modules on deep learning, neural networks and text analytics for finance, students are equipped with cutting-edge technical skills.
Optional: Learn French just before the start of the programme : French Immersive programmes
RESEARCH
At the end of the programme, you will be able to:
Technical skills
Students are trained on various tools such as:
Experiential learning approach and assessment methods
Our master’s programmes are built on a 100% experiential-learning approach, seamlessly integrating real-world business challenges into every course. Through direct engagement with industry partners, real-time projects, and hands-on problem-solving, students develop practical skills and strategic insight in a setting that mirrors today’s global business environment.
The pedagogy implemented in the different modules is adapted to the different learning objectives. Active teaching methods are favoured, and co-modal methods are developed. Group sizes are small, allowing for privileged interaction, both among peers and with professionals and teacher-researchers.
At the end of the course and after validation of all programme requirements, the certification is awarded to the participants. If certain modules have not been validated and therefore the credits have not been obtained, the student must take resit examinations to catch up on these credits during the periods provided for this purpose.
The award of the certification is conditional upon the validation of all competency blocks according to the chosen track, and proof of the required weeks of professional experience in the targeted field.
Each validated year allows the acquisition of 60 ECTS credits.
Programme certification
RNCP 39273 – Level 7 – Advanced Degree in Analyse, Intelligence et Sécurité des Données (Master’s Level), certified by Rennes School of Business Group and the Ministry of Higher Education and Research, registration date 05/07/2024, expiry date 31/08/2027.
Rennes School of Business is committed to a non-discriminatory admissions policy and to actively promoting diversity of profiles.
Entry into Master 1: Bachelor’s degree or equivalent, validating 180 ECTS credits Entry into Master 2: Master 1 completed as part of a degree programme, validating 60 ECTS credits; OR Bachelor’s degree, validating 180 ECTS credits, with a minimum of 3 years of professional experience (VAPP application required)
English requirement TOEIC score of 785, IELTS score of 6.0, TOEFL score of 80, Cambridge B2, or completion of the last two years of education in English.
NB: An official test with a minimum score of TOEIC>800, TOEFL>80, or IELTS>6.5 is required for graduation
How to apply
Response guaranteed within 10 days after the interview.
Fees vary depending on the programme format. Visit the Fees and scholarships page for current fees and information on financial aid, student loans and scholarships.
Fees and scholarships
The school also provides information on regional, national and international grants that enable eligible candidates to reduce their financial burden.
Scholarships may be awarded for academic excellence or based on social criteria.
Discover an overview of Rennes School of Business and its campuses.
Our triple-accredited school offers an ideal environment for a fulfilling student life.
This programme is primarily aimed at students who want further training at a master’s level to pursue a professional career path in financial data intelligence.
The Rennes School of Business community is centred around its students. The School is dedicated to student life and well-being on campus. During their studies at RSB, students do not just benefit from an exceptional learning environment, they become part of a unique student experience.
Living in RennesLiving in Paris
Rennes School of Business is committed to fighting all forms of discrimination and inequality to give all our students the same opportunities for success.
Student well-being
Support for students with disabilities
What makes the MSc Financial Data Intelligence unique among similar programmes?
This programme combines finance, data science, and artificial intelligence, providing an interdisciplinary approach that aligns with the current industry needs. It prepares students to become leaders in financial technology, data analytics, and investment strategy.
At the end of the programme, you can continue your studies at Doctoral level.
How long is the programme and what is the duration of study?
Depending on your entry point (M1 or M2), the programme runs for 1 year (M2) or 2 years (M1+M2), including internship and project components.
Can I apply without a business degree?
Yes, students from mathematics, engineering, computing, statistics, or other quantitative fields are encouraged to apply. If your qualification is in mathematics or a related discipline, you may be especially well suited to this course.
What kind of internships can I expect?
Students may intern in France or abroad, working with investment companies, financial services, technology firms, or fintech startups. The programme provides guidance and contacts through the Career Centre.
Are there options for part-time or online study?
Les diplômés du programme intègrent des entreprises comme BNP Paribas, AXA, EY, Société Générale, Capgemini, ainsi que des fintech et startups du numérique.
Which similar programmes might suit me?
Which MSc programmes combining finance and data at Rennes School of Business could suit you? If you are interested in financial analysis, data-driven decision-making, and quantitative skills, several programmes offer similar opportunities. Thus, you may consider MSc in Data and Business Analytics or MSc in International Finance.
For any questions about this programme, please contact your advisor:
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