Curricula | UniBG Economics & Finance

Curricula

Academic year 2024-2025

The MSc in Economics and Finance is organized in three curricula:

  • Investments, Banking and Finance (IBF)
  • Quantitative Finance and Insurance (QFI)
  • Economics, Finance and Sustainability (EFS)

All the curricula offer a deep knowledge in economics, finance, advanced computational/statistical methods and programming languages. The program is flexible thanks to some elective courses that can be tailored to suit the student’s career goals, even if each curriculum specializes itself (EFS in sustainable economy and finance, QFI in quantitative tools for finance and Insurance and IBF in corporate finance and financial intermediaries).

Here you can find the presentation, that illustrates the characteristics of the program, the curricula, and the courses.

Up to academic year 2022-2023

The MSc in Economics and Finance is organized in two curricula:

  • Sustainable Finance and Economics (SFE)
  • Quantitatative Finance and Insurance (QFI)

All the curricula offer a deep knowledge in economics, finance, advanced computational/statistical methods and programming languages. The SFE curriculum is relatively more focused on economics and sustainable finance, while the QFI curriculum emphasizes financial and risk methodologies as well as data management techniques. In both courses, particular emphasis will be placed on the themes of sustainable finance and on advanced techniques in the analysis and management of data, both through specific courses and across the training course.

The SFE and QFI curricula share (almost entirely) the first year. In the second year SFE and QFI differentiate: SFE provides three economics courses related to financial economics and sustainable finance (Financial Econometrics, Sustainable Finance, Financial economics and institutions) whereas in the QFI curriculum there are three courses on quantitative finance and insurance methodologies (Financial Econometrics, Insurance methodologies and techniques, Financial and insurance risk modeling).