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