Mathematics and Applied Mathematics - Master’s Year 1
Statistics Major
Syllabus
A new model for the 1st year Master's degree in Mathematics and Applications program is currently being developed for implementation at the start of the 2026-2027 academic year. The planned changes are limited in scope: they mainly involve reorganizing and grouping certain courses. The Actuarial Science and Statistics tracks will be combined into a single track. However, this restructuring preserves the educational content and career opportunities, as students will still be able to specialize in one of the fields through an appropriate system of options.
UE fondamentales
UE de majeure
UE complémentaire
UE optionnelles (choisir 1 option)
UE fondamentales
UE de majeure
UE complémentaire
UE optionnelles (choisir 2 options)
- Calculus of variations
- Actuariat 2
- Comptabilité de l'entreprise
- Numerical optimization
- Allemand 1&2
- Espagnol 1&2
Certificat
Academic Training Year 2026 - 2027 - subject to modification
Teaching Modalities
Detailed assessment methods (MCC) are communicated at the beginning of the year.
The Statistics major is selective. At the end of the third year of the Applied Mathematics Bachelor's degree at Paris Dauphine-PSL University, students wishing to enroll in this major must apply. Only selected students and students admitted to the BECEAS competitive examination (if they have completed the Bachelor's degree in Applied Mathematics) will be able to pursue the Statistics major.
The validation of a year entails the validation of each of the two semesters and all associated teaching units and ECTS credits.
The program begins in the last week of August and attendance is mandatory.
Internships and Supervised Projects
Internship is not required.
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
