MSc in Financial Data Intelligence


Programme Mission

Finance is rapidly changing. Data science and artificial intelligence are revolutionising 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 programme :

  • Linked to the first AI business-research centre in Europe.
  • A solid base in AI research and developing solutions for AI-driven business.
  • An innovative programme 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 programme in a triple-accredited school.


Become an expert in the future of Finance!

Become an expert in the future of Finance! We welcome applicants with a non-finance background in, for example, engineering, maths, economics, as knowing how to work with data is the key starting skill that will benefit you on this journey.

Admission procedure

Admission requirements

  • A strong academic background

English proficiency (one of the following):

  • TOEFL > 80 IBT
  • or TOEIC > 750
  • or IELTS > 6.0
  • or Cambridge Proficiency Exam (CPE) > B2
  • or Pearson Test of English (PTE) > 63 (minimum score of 59 in each section)
  • or TOEFL 70 or TOEIC 700 or IELTS 5.5 + IEC
  • or Native Language: English
  • or previous studies taught in English (minimum 2 years)
  • or a placement English test (similar to TOEIC) , at no extra cost. Available at the time of your acceptance into the programme.

Fees structure and funding:


Intake: September 2021
Duration: 15 months
Modules: September 2021 to April 2022
Internship (4 to 6-month duration): May 2022 up to February 2023
Graduating project: October 2022

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Tuition fees:


Application fees


Teaching language



Welcome Guide Download the pdf


Programme structure

NB: In 2021, the MSc in Financial Data Intelligence is opening a new specialisation in cybersecurity.

Semester 1


  • Financial Theory
  • Research Methods in Accounting and Finance
  • Economic Modelling
  • Financial Markets & Portfolio Management
  • Coding and Data Science for Accounting and Finance
  • Ethics and Socially Responsible Finance
  • Empirical Methods in Finance 1

Semester 2


  • Deep learning and Neural Networks for Finance
  • Financial Data Infrastructures
  • Derivatives and Commodity Trading
  • Alternative Investments
  • Empirical Methods in Finance 2
  • Al and FinTech
  • Recent Topics in Al and Finance


Career opportunities

Investment Banker, Investment Fund Trader, Mergers and Acquisitions Adviser, Corporate Financing Manager…

General Information

Admission procedure

Candidates have to fill in the application form. The complete student’s file must be submitted to the admissions office.


Eligible candidates will be contacted for a an interview (Face-to-face, telephone, skype or on-line interview).

Visa for non-European students

Please contact the local French Embassy or Campus France in your country to obtain a visa application to arrange your stay in France as soon as you are admitted.

Resident permit

The international office of Rennes School of Business helps students to obtain a resident permit.


Rennes School of Business offers scholarships depending on academic performance or social criteria.

Orientation programme

The School provides an orientation programme for all international students the week before classes start. Sessions are compulsory and cover application for residence permit, health insurance, banking, internet provider, mobile phones, bus pass and information sessions on French culture, academic expectations and standards.


Rennes School of Business helps international students to finding suitable accommodation (student residence, private house, shared flat, family homestay) in the city. A residence campus for international students is available on the campus.


The basics ; Before my arrival ; First week : Miscellaneous ; …

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