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May 29, 2024

Presentation of specialisation

The curricula related to the specialisation.

Who is it for?

  • Graduates of the undergraduate cycle of the
    • Applied Mathematics, Mathematics
    • Mathematics – Computer Science
    • Economic informatics
  • Graduates of other undergraduate or postgraduate degrees in Economics

What are the skills acquired?

General skills:

  • Ability to use higher mathematics for data processing purposes
  • Ability to use mathematical tools to interpret financial data
  • Ability to analyse and synthesise data and ability to work in a team in financial institutions
  • Mathematics teaching skills in pre-university education

Specific skills:

  • Ability to perform graphical representations and specific simulations for various financial data
  • Ability to implement algorithms and statistically interpret volumes of economic and financial data
  • Ability to use advanced mathematical knowledge in teaching activity
  • Ability to use mathematical and complementary knowledge to carry out specific statistical analyses

Career opportunities:

  • Mathematician in financial institutions at home or abroad
  • Secondary school teacher
  • Data analyst, data administrator

What is studied:

  • Special chapters on probability and statistics
  • Stochastic differential equations
  • Mathematical models in insurance, econometric models
  • Valuation models for financial assets, methods for exploring financial data
  • Actuarial mathematics
  • Numerical methods and numerical simulation
  • Project management and academic writing

Discipline Sheets