Computer Science, Decision and Data Science - Master's Year 1

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UE Complémentaires

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Academic Training Year 2026 - 2027 - subject to modification

Teaching Modalities

Detailed assessment methods are communicated at the beginning of the year.

The course starts in the last week of August, and attendance is mandatory.   Courses in the first year of the Master's degree in Computer Science, Decision-making and Data are organized into semesters 1 and 2. Each semester is made up of a fundamental block and complementary UEs, plus an internship block for semester 2. Each UE is associated with a certain number of European credits (ECTS); each semester is associated with the sum of the ECTS associated with the UEs making up the semester.

Internships and Supervised Projects

The internship takes place in a company or research center, and may be replaced by a three- to four-month dissertation supervised by a university lecturer. The subject of the internship must include a substantial element of design and analysis, as well as implementation. The internship subject must be validated by the internship supervisor before the internship begins.
At the end of the internship, the student submits a report approved by the internship supervisor no later than 10 days before the start of the presentation week.

Research Support

 

Research-driven Programs 

Training courses are developed in close collaboration with Dauphine's world-class research programs, which ensure high standards and innovation. 
Research is organized around 6 disciplines all centered on the sciences of organizations and decision making.

Learn more about research at Dauphine