
MSc In Data Science & Business Analysis
Anticipate the changing needs and expectation of the markets with input from IT, mathematics and business, and learn how to use data in decision-making processes in order to optimize business performance.
- September 2025
- 1 or 2 years
- 150 ECTS
- English
- September & March: starting €14,300
MSc IN DATA SCIENCE & BUSINESS ANALYSIS
Anticipate the changing needs and expectation of the markets with input from IT, mathematics and business, and learn how to use data in decision-making processes in order to optimize business performance.
The program is labeled MSc – Master of Science the Conférence des Grandes Ecoles.
KEY INFORMATIONS
THE OBJECTIVES MSc IN DATA SCIENCE & BUSINESS ANALYSIS
- Enhance your Big Data skills
- Transmit management tools specific to the data processing, analysis and visualization industries
- Put Big Data and Data Science at the service of the company in many fields (marketing, operations management, finance...)
- Develop an in-depth knowledge of the latest methods of data structuring, analysis and visualization
- Acquire the main languages used in Data Science
- Use of key IT tools for data alysis (SQL, Python, Power Bi, etc...)
- Specialization at the crossroads of IT, mathematics and business
Start date: September 2025
In the 1st and 2nd years, the course is an initial training course.
Start of academic year September 2025 (French and International students):
- 1st year: €14,300
- 2nd year: €17,500
Spring intake March 2026 (French and International students):
- 1st year: €14,300
- 2nd year: €17,500
- Business analyst
- Data Analyst
- Data Scientist
PROGRAM
SEMESTER 1
Entrepreneurship & Business Plan
Corporate Finance
Project Management & MSI
"Sustainable Management "
Strategic Management
Business Cases for Learning: Methodology
Elective Course
English 7 ou FLE ALT
LV2 Optional
SS4_Be a humanist & inspiring Leader
Vie associative
Career Development Workshops
SEMESTER 2
R for Data Science
"Mathematics for Data Science "
Probability and Statistics for Data Science
"SQL and Databases Exploitation "
Python for Data Science
HTML, CSS and Javascript
Badges Electifs LinkedIn Learning
English 8 DS-EB
LV2 Optional (20 hours online)
SS5_Be a responsible player in the sustainable development
SEMESTER 3
Data Analysis and Visualization with PowerBI
Cloud Computing
Applied Machine Learning with Python
Big Data Analytics
Artificial Intelligence for Cybersecurity
Thesis methodology
Electif au choix
Badges Electifs LinkedIn Learning
Business Rhetoric
LV2 Optional (20 hours online)
Negotiation and conflict Management
SEMESTER 4
Data Engineering
AI for Time Series Forecasting
Deep Learning
Data Analysis and Visualization with Tableau
Natural Language Processing
Wordpress: Data Science Portfolio Management
Ateliers Carrière
Cross Cultural Communication
LV2 Optional (20 hours online)
Business Game
- Project-based learning: case studies, team projects, associative projects
- Learning through co-construction of knowledge: flipped classrooms
- Blended learning: use of computer and video tools for plural teaching, both face-to-face and distance learning
- Immersion learning: in companies (internships, work-study programs, missions, community life)
Throughout the academic curriculum, students are evaluated in multiple ways:
- Continuous & Partial Assessments
- Master's thesis: Students write a dissertation and defend it in front of a jury composed of two professors. Validation of the MFE is one of the conditions for obtaining the diploma.
The faculty evaluates students through six key cognitive skills:
- Comprehension: quizzes, matching exercises...
- (Re)recognition: quizzes, matching exercises...
- The application of concepts and theories: practical exercises, simulations, etc.
- Analysis: problem solving, case studies...
- Immersion: case studies, reviews, missions, business game
- Creativity: projects, entrepreneurship...
There are no bridges or equivalents: all enrolments in the programme require you to complete all modules.
If you want to continue your studies after the MSc IN Data Science & Business Analysis, you can!
You can, for example, subject to the prerequisites, decide to do a doctorate or a Master of Science in another speciality of your choice.
Working professionals can apply to have the skills they have acquired in a professional situation recognised through a process known as Validation Of Prior Learning and Experience (VAE), subject to an application being submitted more than 9 months before the graduation jury.
For more information, please contact our Admissions Department:
- E-mail: [email protected]
- Phone: 01 46 93 02 70
JOINING THE PROGRAM
Ideal for reinforcing your general management fundamentals and starting to specialise in a particular field.
- For students with a Bac+3 or international equivalent.
Admissions:
- National students: application and interview
- International students: application, interview and language test
Application deadline: according to the terms and conditions of the competition or on the day the programme starts (except for foreign students requiring a visa 8 weeks before the start of the programme).
If you have a disability and would like to join us, you can find more information on our accessibility page.
Ideal for achieving a high level of specialisation and obtaining a level 7 RNCP qualification.
For students with a Bac+4 or international equivalent.
Admissions :
- For national students: by application and interview
- For international students: by application, interview and language test
Application deadline: according to the terms and conditions of the competition or on the first day of the programme (except for foreign students requiring a visa 8 weeks before the start of the programme).
If you have a disability and would like to join us, you can find more information on our accessibility page.