How to apply to Rennes School of Business
We guide you to find the programme that best meets your needs.
School News
Discover what brings the school to life every day: conferences, business partnerships, student projects, and key moments on campus.
Our campuses
Our campuses in Rennes and Paris welcome students in environments conducive to success.
In an increasingly competitive job market, businesses are actively seeking professionals who understand how to harness data for effective decision making. The MSc Data and Business Analytics has been designed in response to the growing demand for business analysts and data scientists who are capable of solving modern challenges through analytics and data science. The programme combines expert faculty guidance, real-world projects, and access to advanced tools and platforms such as DataCamp to develop your analytical, programming, and managerial capabilities.
Whether your career aspirations lie in supply chain, marketing, financial analysis, or healthcare, this STEM-designated master of science delivers the perfect foundation. Students graduate fully equipped to take on leadership roles at the intersection of business strategy and technology. Through a personalised learning journey, you’ll learn to apply predictive modeling, data analysis, and machine learning techniques to deliver insights that drive strategic decisions across a wide range of industries.
Provide an in-depth understanding of business intelligence and analytics in a global context
Equip students with advanced skills in data analysis, programming, and machine learning
Develop expertise in the use of analytical tools to solve real world business challenges
Strengthen capabilities in project management, communication, and leadership
Foster innovation through the application of artificial intelligence in business contexts
Prepare graduates for employment in industries such as energy, healthcare, retail, and financial services
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.
Justine Rébulard
Chargée des admissions – MSc
Get ready to take on key roles in data and business analytics: data analysis, visualisation, data strategy and performance management.
Master Year 1 (M1)
The Master 2 in Data & Business Analytics offers an in-depth specialisation in the application of data and artificial intelligence to strategic business issues. They explore key areas such as risk and ethics analysis, data project management and the integration of AI into CRM systems. Practical modules such as ‘Data Driven Demand Planning’, ‘Retail Analytics’ and ‘Social Media Intelligence’ provide essential skills for optimising business decisions.
Find out more about the programme modules by downloading the brochure.
RESEARCH
PROFESSIONAL EXPERIENCE
Master Year 2 (M2)
At the end of the programme, you will be able to:
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.
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 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
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 data and business analytics.
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 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 is the MSc Data and Business Analytics?
It is a master of science programme combining business, data analysis, and artificial intelligence to prepare students for roles in analytics and data science. This graduate degree is ideal for those looking to gain a competitive edge in the real world of data-driven business.
What are the core courses in this programme?
Core modules include predictive modeling, data mining, project management, business intelligence and analytics, and machine learning. For more detailed information on the programme modules, download the programme brochure.
What career opportunities are available?
Graduates can pursue careers as business analysts, data scientists, financial analysts, and managers in operations, strategy, or data departments across sectors like retail, energy, and healthcare.
How does this programme prepare students?
Through a combination of advanced academic content, hands-on projects, professional experience, and access to leading platforms like DataCamp, students gain the technical and strategic skills required in the modern workforce.
What are the tuition fees for the programme?
For detailed information, consult the Fees and Scholarships page of the Rennes School of Business website, or speak to an admissions advisor.
What is the duration of the programme?
The full-time programme runs for 18–24 months depending on whether students enter at M1 or M2 level.
What skills will I gain from this degree?
You will develop technical, analytical, and managerial skills in areas such as machine learning, data visualization, project management, and decision making. You’ll be prepared to lead in a data driven business environment.
What is the application process like?
Prospective students must submit an online application, including transcripts, a recommendation letter, and a CV. Shortlisted candidates complete a pre-recorded video interview.
For any questions about this programme, please contact your advisor:
Admissions Advisor
International Country Managers
School
École
Programmes
Faculté & Recherche
Faculty & Research
