Statistical and Financial Engineering - Master's Year 2
Syllabus apprenticeship training
University apprenticeship training combines theoretical courses with work experience in a company, enabling students to learn while gaining professional experience.
UE fondamentales
- Anglais des affaires
- Decentralized & crypto finance : new era of financial services
- Deep learning and agentic AI
- Introduction à l'apprentissage supervisé
- Introduction à l'assurance vie et non vie
- Introduction au machine learning
- Méthodes actuarielles
- Méthodes pour les modèles de régression
- Méthodologie en gestion globale des risques : VaR
- Processus stochastiques
- SAS, R et Python
- Statistiques et dynamique des produits dérivés
- Solvabilité II
UE complémentaires voie QRF
UE fondamentales
UE complémentaires voie QRF
- Implémentation de modèles multivariés en finance et assurance
- Modélisation stochastique de la courbes de taux
UE complémentaires voie MDB
Conduite de projets et mémoire - 15 ECTS
Academic Training Year 2026 - 2027 - subject to modification
Teaching modalities
Detailed assessment methods are communicated at the beginning of the year.
Courses in the second year of the Master's degree in Mathematics and Applications for the ISF apprenticeship program are organized in semesters 3 and 4. Semester 3 consists of core courses, and semester 4 consists of core courses and complementary courses in either "Quantification des Risques Financiers (QRF)" track or "Modélisation et Big Data (MBD)" track, to which is added a block grade for "Conduite de projet et mémoire".
The program begins in September. The work-study schedule consists of three days at the company and two days at the university.