Contents
The training is structured in two parts, with a total academic value of 60 ECTS credits:
1 The first part, worth 36 credits, consists of 262 hours of face-to-face theoretical and practical classes over one academic year, divided into two semesters. Each semester includes the following subjects:
Subjects in the first semester:
Introduction to Finance: financial products and markets, insurance and finance, financial strategies, scientific computing in risk. Basic Mathematics and Programming: time series, statistics, programming.
Subjects in the second semester:
Advanced Mathematics: econometrics, stochastic calculus, partial differential equations.
Professional Management: portfolio management, risk management, derivatives management, introduction to the EIKON platform.
2 The second part consists of an internship period worth 18 credits (450 hours) and a written report based on the internship experience, which serves as the Master's Final Project (6 credits). This report must be approved by a specially appointed Evaluation panel, which will assess its content. The panel will also take into account the reports provided by the students' internship supervisors.
| Subject | Credits | Type |
|---|---|---|
Introduction to Finance |
9 ECTS |
Obligatory |
Basic Math and Programming |
9 ECTS |
Obligatory |
Advanced Mathematics |
9 ECTS |
Obligatory |
Professional Management |
9 ECTS |
Obligatory |
Master's dissertation |
6 ECTS |
Obligatory |
Itinerary
The graduate diploma Mathematics for Finance is included in the master's degree.
Related programmes
Graduate Diploma in Mathematics for Financial Instruments
Specific skills
- Master and apply in professional practice the functioning and language of financial markets.
- Use statistics and econometrics at an advanced level.
- Use programming in Visual Basic.
- Demonstrate advanced knowledge of stochastic processes and time series.
- Apply analytical and numerical methods for solving partial differential equations.
- Understand how insurance works.
- Apply portfolio management to real-life situations.
- Apply risk management in professional environments.
- Use derivatives management in financial settings.
- Program in Visual Basic in professional environments.
- Program in SAS and, in general, use statistical software in business practice.
- Know how to analyze finance at an advanced level; in particular, recognize, handle and manage financial products, financial markets, fundamental and technical analysis, insurance, balance sheet analysis, valuation of financial companies, advanced financial management strategies, etc.
Transferable skills
- Design and develop mathematical models of reality; in particular, models that incorporate random components and attempt to validate them in real-world practice.
- Present and communicate orally and in writing the developed models and the solutions obtained for specific real-world problems.
- Present and communicate orally and in writing reports and projects.
- Work in teams in academic and professional environments.
- Manage bibliographic or internet information and use it in report writing.
- Prepare and interpret statistical and financial studies.
Title obtained
Lifelong Learning Master's Degree in Mathematics for Financial Instruments