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University Program Information

The University Paris Dauphine-PSL offers a Master's program in Ingťnierie Statistique et FinanciŤre, which is a two-year program that combines theoretical and practical knowledge in statistics and finance.

Program Description

The program is designed to provide students with a solid foundation in statistical and financial methods, as well as practical experience in data analysis and financial modeling. The program is divided into two semesters, with a focus on theoretical courses in the first semester and practical applications in the second semester.

Course Offerings

The program offers a range of courses, including:

• Anglais des affaires (Business English)
• Decentralized & Crypto Finance: new era of financial services
• Deep learning
• Introduction ŗ l'apprentissage supervisť (Introduction to Supervised Learning)
• Introduction ŗ l'assurance vie et non vie (Introduction to Life and Non-Life Insurance)
• Introduction au Machine learning (Introduction to Machine Learning)
• Mťthodes actuarielles (Actuarial Methods)
• Mťthodes pour les modŤles de rťgression (Methods for Regression Models)
• Mťthodologie en gestion globale des Risques: VaR (Methodology for Global Risk Management: VaR)
• Processus Stochastiques (Stochastic Processes)
• SAS, R et Python (SAS, R, and Python)
• Solvabilitť II (Solvency II)
• Statistiques et dynamique des produits dťrivťs (Statistics and Dynamics of Derivatives)
• UE complťmentaires voie QRF (Complementary Courses for QRF Path)
• UE fondamentales (Fundamental Courses)

Program Structure

The program is structured into two semesters, with a total of 60 ECTS credits. The first semester focuses on theoretical courses, while the second semester focuses on practical applications and a final project.

Admission Criteria

Admission to the program is based on a range of criteria, including academic background, language proficiency, and professional experience.

Research Areas

The program is supported by the university's research centers, which focus on a range of areas, including:

• Data science
• Finance
• Insurance
• Machine learning
• Risk management
• Statistics

Career Opportunities

Graduates of the program can pursue a range of career opportunities, including:

• Data analyst
• Financial analyst
• Insurance analyst
• Machine learning engineer
• Risk manager
• Statistician

Tuition Fees

The tuition fees for the program are competitive, with a range of scholarships and financial aid options available to support students.

Conclusion

The Master's program in Ingťnierie Statistique et FinanciŤre at the University Paris Dauphine-PSL is a comprehensive and practical program that provides students with a solid foundation in statistical and financial methods. With a range of course offerings, research areas, and career opportunities, the program is an excellent choice for students looking to pursue a career in data science, finance, or insurance.