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GAMMA Professional Master - Actuarial Management and Mathematical Modeling

Home › Programs › Masters › GAMMA Professional Master – Actuarial Management and Mathematical Modeling
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level

Professional Master

Prerequisite

Bac + 3 and more

credits

120 ECTS

Duration

4 semesters

Initial

Training / Full-time scheme

Semestre 1
  • Normes de présentation
  • Normes relatives aux instruments financiers
  • Normes relatives aux actifs et passifs autres que les instruments financiers
  • Audit et contrôle interne I
  • Economie Digitale
  • ERP, Gouvernance et sécurité des systèmes d’information (préparation à la certification Sage)
  • Fiscalité directe
  • Droit des entreprises commerciales
  • Communication in Business English
  • Projet intégré I/ Séminaire I
Semestre 2
  • Commissariat aux comptes
  • Normes internationales relatives aux produits et autres thèmes particuliers
  • Droit pénal des affaires
  • Fiscalité indirecte
  • Finance d’entreprise : investissements et financements
  • Evaluation des entreprises
  • Contrôle de gestion stratégique
  • Management des projets
  • Audit et contrôle interne II
  • Ingénierie financière
  • Projet intégré II/ Séminaires II
Semestre 3
  • Comptabilité : Fusion et Consolidation
  • Gestion Juridique et fiscale des structures
  • Audit et Contrôle interne III
  • Finance Internationale
  • Finance des marchés et gestion des risques
  • Fiscalité Internationale
  • Contrôle et contentieux fiscal
  • Avantages Fiscaux
  •  Comptabilité internationale des entités publiques
  • Anglais des affaires
  • Projet intégré III
  • Séminaire III
Semestre 4
  • Cas de synthèse en comptabilité
  • Cas de synthèse en Audit et contrôle interne
  • Cas de synthèse en commissariat aux comptes et droit des affaires
  • Cas de synthèse en fiscalité
  • Cas de synthèse en Finance
  • Cas de synthèse en contrôle de gestion
  • Initiation à la méthodologie de recherche Stage
Presentation
Admission
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Presentation

The objective of the GAMMA master is to train graduates with skills in mathematics, statistics, IT and management capable of organizing, analyzing and translating information of an economic nature (customer data, financial data, sales, purchases, etc…) allowing them to master decision-making tools in a company.

Skills

  • Adapt statistical data processing tools
  • Mathematically model managerial problems, simulate, test and verify to make purchasing and production decisions …
  • Develop mathematical models for the creation of insurance or savings products.
  • Develop explanatory or predictive models
  • Analyze big data.
  • Carry out studies in financial data analysis.

 

Trades

  • Financial Analyst
  • Data Analyst
  • Field survey manager
  • Financial market operator
  • Actuary, in charge of actuarial studies in insurance
  • Bank credit and risk analyst

 

Activity area

  • Banks, Insurance& Stock Exchanges
  • Study and surveyorganization
  • CRetirement and provident fund
  • Commercial or industrial companies

 

Traineeship

The fourth semester is dedicated to the master’s end-of-studies internship lasting four to six months. The GAMMA master’s degree resolutely falls within a perspective of professionalization by relying on both theoretical and practical acquisition of the fundamentals of actuarial science and management of random risks.

Subjects per semester

Semester 1
  • Integration and Probability
  • Numerical analysis
  • Programming workshop with Python
  • Data base
  • Inferential statistics
  • Introduction to actuarial science
  • General and financial accounting
  • Risk theory
  • English1 / Seminar 1
  • Tutored project 1 (VBA programming)
Semester 2
  • Generalized linear models
  • Time series
  • Fundamentals in probability
  • Monte-Carlo methods
  • Life and non-life actuarial
  • Machine Learning
  • Financial models
  • Risk management
  • Sector Accounting (Insurance)
  • Digital law and personal data protection
  • English2 / Seminar 2
  • Tutored project 2 (VBA programming)
Semester 3
  • Random models for actuarial science and finance
  • Actuarial for reinsurance and extreme risks
  • Risk modeling and measurement
  • Asset and Liability Management (ALM)
  • Statistical learning
  • Big Data Analytics
  • Insurance company law and regulation
  • Insurance risk management
  • Preparation and professional integration / Seminar 3
  • Tutored project 3
Semester 4
  • 6-month internship in a company

La délivrance du diplôme est en outre soumise à l’obtention du niveau B2 en français et en anglais.

Admission

Terms of Access

Access in M1 : Access to the Master Actuarial Management and Mathematical Modeling GAMMA will be reserved for candidates who have acquired skills in the field of mathematics and statistics. One can access the Master from a bachelor’s degree in mathematics and applied mathematics and a minimum Bac + 3 diploma in the field of computer science and economics, subject to verification of the prior acquisition of fundamental mathematical skills.
The admission of candidates is also subject to their success in a competition comprising the following stages : Evaluation of the file by the jury made up of teachers,Tests of French, English, logic and general knowledge,Motivational interviewing.
Access in M2 : Passing to the M2 level requires validation of the M1 modules. Access to the GAMMA Professional Master will be possible for students from the aforementioned training courses, after a preselection which is carried out at ESB level via the admission competition.

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