Presentation
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.
Editorial
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:
Calendar
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
Way up! Languages courses
Tuition fees:
€18,200
Application fees
€90
Teaching language
English
Downloads
News
Programme structure
NB: In 2021, the MSc in Financial Data Intelligence is opening a new specialisation in cybersecurity.
THESIS / LANGUAGE COURSES / INTERNSHIP
Semester 1
COMPULSORY MODULES
- 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
COMPULSORY MODULES
- 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
TOTAL = 120 ECTS
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.
Interview
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.
Scholarships
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.
Accommodation
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.
FAQ
The basics ; Before my arrival ; First week : Miscellaneous ; …