MSc in Financial Mathematics is an online full-time, three-semester, 90 academic credit program intended to postgraduate students wishing to gain important skills in applied financial mathematics, modeling, and data analysis. The program can be considered terminal for postgraduates planning to start their professional career right away. It is also suitable for those planning to pursue a PhD in applied mathematics. Program provides the students with the state of the art of modern methods in statistical modeling and data mining, machine learning, numerical methods, stochastic analysis, risk management on financial markets, and partial differential equations.

The program aims to enable graduates and professionals with 

• A strong mathematical background to analyze real financial situations
• Financial analytic expertise necessary to apply computational methods to risk management
• Computer Science skills to develop and program data driven models using statistical and computational analysis tools and interpret the findings
• Skills necessary to carry out independent research as a quantitative analyst

Bachelor in technical/natural sciences

• Mathematical analysis
• Differential Equations

• Demonstrating mastery of global concepts of theory and practice in modern financial mathematics;
• Demonstrate strong mathematical background to analyze real financial situations;
• Demonstrate advanced financial analytic expertise necessary to apply computational methods to risk management;
• Conducting independent inquiry and develop a creative work as a quantitative analyst, evidenced by a Master’s thesis and research publications;
• Demonstrating abilities in the critical analysis and quantitative reasoning of global problems arising in Mathematics;
• Demonstrating advanced computer science skills to develop and program data driven models using statistical and computational analysis tools and interpret the findings;
• Communicating mathematical ideas to a mathematics audience both in writing and presentation form.

Our graduates can be recruited in corporate sectors, financial institutions, insurance companies, investment banks, energy sectors and so on. They can be good candidates for PhD studies in Applied Mathematics.