MSc in Financial Data Intelligence

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.

Programme objectives

Equip students with strong analytical skills, quantitative methods, and an understanding of modern financial markets.
Develop expertise in data analytics, financial modeling, and statistical analysis.
Prepare graduates to apply machine learning and artificial intelligence to real-world financial data challenges.
Foster critical thinking, innovation, and advanced problem-solving skills.
Provide international exposure and hands-on experience through internships and research projects.
Build leadership potential and strategic vision for future managers, analysts, and data scientists.

Brochure Je candidate

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

Make an appointment with an advisor

Programme

Prepare to tackle the challenges of modern finance by combining data analysis, financial intelligence and market strategy.

Labels and accreditations

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

French Language & Culture for non-fluent French speakers
Initiation to Spanish/Italian/Chinese/Arabic for fluent French speakers

PROFESSIONAL EXPERIENCE

2-month internship minimum (in France or abroad)

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.

Find out more about the programme modules by downloading the brochure.

RESEARCH

Graduating Project

PROFESSIONAL EXPERIENCE

4-month internship minimum (in France or abroad)

At the end of the programme, you will be able to:

Understand the codes of hybrid spaces (digital and human), master the expert tools of your field, and anticipate the impact of technological developments on the organisation.
Mobilise and produce highly specialised knowledge.
Communicate effectively in multicultural and multi-situational contexts and transfer your knowledge in the exercise of your managerial responsibilities.
Manage responsibly within your organisation.
Develop and lead a strategic vision in a complex and globalised environment.
Design and implement innovative solutions in data management and analysis.
Oversee, control, and optimise performance in data management in compliance with applicable rules and standards.
Identify the drivers of your personal and professional development to adapt to the evolving field of data analysis.

Assessment and certification

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.

The programme is assessed through the following methods of validation:

Module assessment (continuous and final assessment): assessments are carried out throughout the course in the form of individual or group projects and end of semester examinations;
The Graduating Project: submission of a dissertation written under the supervision of an academic tutor; and
Completion of an internship and submission of an evaluation (pass or fail).

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.

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.

Admission

Rennes School of Business is committed to a non-discriminatory admissions policy and to actively promoting diversity of profiles.

Admission requirements

Entry into first year: Bachelor’s degree
Direct entry into second year: First year of master’s degree obtained as part of a degree programme OR Bachelor’s degree with at least 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

Apply 0nline
Submit scanned copies in English of your CV, a letter of recommendation and transcripts encompassing all years of your prior degree.
Online interview
Eligible candidates will be invited to an online interview featuring pre-recorded questions.

1/3

International students

TOP 100

European Business Schools

30,000

alumni network members

90%

international tenured professors

330

major partner universities

Fees & funding

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

Grants 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.

Zoom on Rennes School of Business

Discover an overview of Rennes School of Business and its campuses.

Our triple-accredited school offers an ideal environment for a fulfilling student life.

Career

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.

Possible job titles include:

Financial Analyst
Data Scientist
Credit Analyst
Data Flow Specialist
Business Intelligence Manager
Operations Manager

Personalised support:

Coaching with the Career Centre
Networking via the Alumni Network
CV workshops, mock interviews, mentoring
Access to online job offers via the school’s website

Student Life

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 Rennes SB, students do not just benefit from an exceptional learning environment, they become part of a unique student experience.

Living in Rennes Living in Paris

Accessibility and Disability

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

RSB’s key strengths

Global recognition

A credential highly valued by employers worldwide.

Innovative teaching methods

A learning approach designed to inspire and experiment.

Career development

Salary growth and leadership opportunities after graduation.

Personalised support

Individual guidance, Career Centre services, and professional events

FAQs

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.

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.