Master - Computer Science

Program Objectives

The Master's in Computer Science aims to train high-level specialists in computer science, understood in its broadest sense. The program is based on solid scientific foundations and offers in-depth study in strategic areas such as organizational science, data science, decision science, and artificial intelligence.

The various tracks within the Master's program are designed to prepare students for doctoral studies and careers in academic research, as well as for professional positions of high responsibility within companies and organizations.

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

Types of education
Initial training, Apprenticeship training, Executive Education
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

After Dauphine ?

Employability Indicators After Graduation - Survey Conducted in Collaboration with CGE

- 1 Month

Job hunting's average duration

100 %

Professional integration rate after 6 months

46 300

Median salary


A dedicated team

  • Roland GRAPPE

    University Professor - Head of Informatics

  • Hassan AISSI

    Associate professor, Head of 1st year of the Computer Science, Decision, Data Master's degree (IDD)

  • Olivier CAPPÉ

    Research director, Head of 2nd year of the Artificial Intelligence, Systems, Data-Computer science track Master's degree (initial training)

  • Clément ROYER

    Associate professor, Head of 2nd year of the Artificial Intelligence, Systems, Data-Computer science track Master's degree (initial training)

  • Tristan CAZENAVE

    University Professor, Head of 2nd year of the Artificial Intelligence, Systems, Data-Computer science track Master's degree (IASD) (apprenticeship)

  • Dario COLAZZO

    University Professor, Head of 2nd year of the Artificial Intelligence, Systems, Data-Computer science track Master's degree (IASD) (apprenticeship)

  • Daniel VANDERPOOTEN

    University Professor, Head of 2nd year of the Modeling, Optimization, Decision and Organization Master's degree (MODO)