Master - Computer Science

Program Objectives

The Bachelor's in Organizational IT covers different aspects of information processing. It provides a solid preparation in IT, theoretical tools for the analysis of complex systems and skills for the business management sector.
Professionalization is particularly emphasized. The curriculum includes an internship and a requirement of two modern languages.

Program Objectives :

  • Offer high-level preparation in computer science on subjects such as decision-making and data sciences, artificial intelligence.
  • Emphasize quality professionalization with various industry speakers.
  • Foster the possibility of pursuing doctoral studies.

The degree is awarded by Université PSL and prepared at Université Paris Dauphine-PSL. Several academic paths are the fruit of a collaboration between Dauphine-PSL, l'École Normale Supérieure-PSL and Mines ParisTech PSL.

Organization of the Master’s Degree

Excellent, multi-disciplinary courses supported by a research laboratory specialising in Computer Science

1st year
Computer Science, Decision-making, Data

After completion of the first year, 2 specializations are possible.

Types of education
Initial and work-based training
Outgoing Level
BAC+5
Language(s)
French and English
Duration of studies
4 semesters (excluding the gap year)
ECTS Credits
120 credits
Type of Diploma
National diploma
Academic Year
2025/2026

Primary Opportunities

  • Business Analyst - Applications Consultant
  • Decision Making IT Consultant
  • Data Scientist and Big Data Engineer
  • IT Project Manager Business 2
  • IT Consultant for Finance
  • Doctoral candidate in Computer Science

A dedicated team

  • André ROSSI

    University Professor, Head of Informatics

  • Hassan AISSI

    Associate professor, Head of the 1st year of Master - Computer Science, Decision, Data (I2D)

  • Thierry Jaillet

    PAST - Head of the 1st year of Master - Applied IT Methods for Business Management (initial training)

  • Olivier CAILLOUX

    Associate professor, Head of the 1st year of Master - Applied Computer Methods for Business Management (work study)

  • Olivier CAPPÉ

    Research director, Head of the 2nd year of Master - Artificial Intelligence, Systems, Data (initial training)

  • Benjamin NEGREVERGNE

    Associate professor, Co-head of the 2nd year of Master - Artificial Intelligence, Systems, Data (initial training)

  • Tristan CAZENAVE

    University Professor, Head of Artificial Intelligence, Systems, Data (IASD) (work study)

  • Dario COLAZZO

    University Professor, Head of Artificial Intelligence, Systems, Data (IASD) (work study)

  • Daniel VANDERPOOTEN

    University Professor, Head of the 2nd year of Master - Modeling, Optimization, Decision and Organization

  • Elsa NEGRE

    Associate professor, Head of the 2nd year of Master - MIAGE Business Intelligence (initial training)

  • Cristina BAZGAN

    University professor, Head of the 2nd year of Master - MIAGE Business Intelligence (work study)

  • Julien LESCA

    Associate professor, Head of the 2nd year of Master - MIAGE Information Systems and Digital Transformation (initial training)

  • Khalid BELHAJJAME

    Associate professor, Head of the 2nd year of Master - MIAGE Information Systems and Digital Transformation (work study)

  • Emmanuel LEPINETTE

    Associate professor, Head of of the 2nd year of Master - MIAGE Informatique pour la Finance (work study)