EDC Paris Business School

M.SC In Data Science & Business Analysis

  • From €14,300/year
  • 150 ECTS
  • September 2025
  • 1 or 2 years
  • English

M.SC 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 M.SC 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 2024

    In the 1st and 2nd years, the course is an initial training course.

  • Start of the school year September 2025:

    • 2-year program (1st and 2nd year): €28,600 
    • 1-year program (2nd year): €17,500

    DISCOVER THE DIFFERENT TYPES OF FINANCING AVAILABLE

    • Business analyst 
    • Data Analyst 
    • Data Scientist

2024-2025 PROGRAM

SAMPLE COURSES, TEACHING METHODS AND ASSESSMENT METHODS

SEMESTER 1

  • Entrepreneurial Ecosystem
  • Corporate Finance
  • Sustainable management 
  • Strategic management

SEMESTER 2

  • Mathematics for Data Science 
  • Provability and Statistics for Data Science 
  • SQL and Databases Exploitation
  • Python for Data Science 

SEMESTER 3

  • Data Analysis and Visualization
  • Cloud Computing 
  • Big Data Analytics 
  • Artificial Intelligence for Cybersecurity

SEMESTER 4

  • Data Engineering 
  • Deep Learning 
  • Natural Language Processing 
  • Data Science Portfolio Management 

  • 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 M.SC 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
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