Statistical and Financial Engineering - Master's Year 2
Program Objectives
The second year of the Master's degree in Mathematics and Applications, specializing in Statistical and Financial Engineering (ISF initial training), prepares students for jobs requiring a five-year higher education degree and the use of applied mathematics in line with the needs of businesses in statistics and finance. It offers students a solid education that enables them to quickly enter the workforce in industry and services. The Master's program offers two tracks: "Data Science" and "Finance". The emphasis is on professional training with the help of participants from the business world, and on business knowledge through internships.
Training objectives :
The aim of this program is to train business executives.
- Possess a good command of quantitative methods, mathematical and statistical modeling, and IT tools.
- Be able to analyze a problem, propose and implement a solution, taking charge of digital and IT processing.
- Be trained in specific techniques used in the service industry (economic studies, marketing, production management, quality control, finance, insurance, etc.)
- Finance, insurance, data science, statistics, and marketing are the main sectors that recruit students from the Master 2 in Classical Statistical and Financial Engineering program upon completion of their training.
The program is proposed as a traditional course and a work-study program.
When you enroll in a Master's program, you also join Université PSL. Ranked in the top 50 universities in the world (THE and QS), PSL offers excellent graduate programs at the Master's and PhD level, which benefit from the scientific capabilities of its member institutions. The degree is prepared at Université Paris Dauphine-PSL and awarded by Université PSL.
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Types of education
Executive Education
Initial training
Work-based training
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ECTS Credits
60 credits
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Capacity
30
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Academic Year
2026/2027
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Language(s)
French
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Internship
20 weeks
No work-based training -
Type of Diploma
National diploma
Educational team
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Katia MEZIANI
Associate Professor
Program supervisor - Initial training -
Pierre BRUGIERE
Associate Professor
Program supervisor - Apprenticeship -
Secretariat