MSc in Financial Data Intelligence

Unlock your career potential with our MSc in Financial Data Intelligence, combining finance and data expertise. Explore cutting-edge topics like AI, cryptocurrencies, neural networks, and fintech, gaining insights into the latest financial innovations. With hands-on learning, this programme equips you to tackle real-world challenges and prepares you for global careers in finance and insurance.

Programme

Master Year 1 (M1)

CORE COURSES*

Introduction to Programming Language
Managing Diversity: an International Perspective
Change Management in a Digital & Sustainable World
Introduction to Business Analytics
Open Strategy for an Uncertain World
Statistics & Data Analysis

SPECIALISATION*

Data Management
Decision Science
Introduction to Data Analytics specialisation
Introduction to AI & Machine Learning
Time Series Analysis
Data Analytics Project
Introduction to Deep Learning
Research Methods

*Subject to change

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)

SPECIALISATION*

Financial Theory
Topics in Financial Economics with “R”
Coding & Data science for Finance
AI & Fin Tech
Block Chain & Crypto Assets
Advanced Financial Modeling
Applied Research in Finance (Linked to the Graduating Project)
Financial Engineering & Commodity Trading
Deep Learning & Neural Networks for Finance
Financial Data Infrastructure & Text Mining
Learning Expedition

*Subject to change

RESEARCH

Graduating Project

PROFESSIONAL EXPERIENCE

4-month internship minimum (in France or abroad)

Methods used and evaluation

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.

Admission

ACADEMIC BACKGROUND
2-YEAR MSc (M1):

3-year bachelor’s degree

1-YEAR MSc (M2):

4-year bachelor’s degree or 3-year bachelor’s degree with a minimum of 3 years of professional experience*
*VAPP process 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

ADMISSION PROCESS

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.

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

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 professions include:

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

You will be supported by the Rennes SB Career Centre and the Alumni Network, which provide professional mentoring, networking events and business advice.

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.

Students with disabilities

Rennes SB is committed to fighting against all forms of discrimination and inequality, in order to ensure that all of our students are given equal opportunities to succeed.
To meet this objective, we have put in place specific measures to welcome and support students with disabilities.

Fees, Finance

Fees and funding of your MSc

“So, are you convinced?”

Download the brochure apply

Any questions about your eligibility? Contact your admissions advisor

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