EDC Paris Business School

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.

 

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msc-master-of-science

 

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

    DISCOVER THE DIFFERENT TYPES OF FINANCING AVAILABLE

    • Business analyst 
    • Data Analyst 
    • Data Scientist

PROGRAM

SAMPLE COURSES, TEACHING METHODS AND ASSESSMENT METHODS

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...
GATEWAYS AND EQUIVALENTS, CONTINUING EDUCATION AND VALIDATION OF PRIOR LEARNING AND EXPERIENCE

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.

DISCOVER ALL THE POSSIBLE OPTIONS

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:

JOINING THE PROGRAM

CANDIDATE PROFILE AND PREREQUISITES
  • 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

Information request
Association EDC, Ecole de Commerce privée française, accorde une grande importance à la protection de vos données à caractère personnel.

Par suite, Association EDC vous informe qu’elle traitera vos données à caractère personnel en vue de vous contacter et  vous informer du programme choisi lors des deux prochaines rentrées. Après cette période-là où dès que les informations demandées vous seront fournies, vos données seront supprimées.

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