Master of Science in Financial Technology and Computing (MFT)
Courses 2022-2023
Fall semester
Lecture
Core
- Data Analytics for Finance I & II, Gruber P.
- Distributed Algorithms, Pedone F., de Lima Batista E. R., Milosevic N.
- Distributed Systems, Eugster P. T., Otoni R. B.
- Financial Econometrics, Mancini L., Ye Y.
- Financial Modelling, Formenti M., Mazzari F.
- Financial Stability, Mele A., Yang H.
- Fundamentals of Informatics, Sharygina N., Britikov K., Buckley A.
- Introduction to Programming, Binder W., Adamoli A.
- Investments, Franzoni F., Lazzaretto P.
- Machine Learning, Wand M., Ashley D. R., Gopalakrishnan A., Herrmann V., Kirsch L.
Elective
- Algorithms & Complexity, Papadopoulou E., Prorokovic K., Wang Z.
- Alternative Investments, Mueller P.
- Fixed Income Markets, Mele A., Yang H.
- Launching FinTech Ventures, Schueeli M.
- Mobile and Wearable Computing, Santini S., Abdalazim N. A. R.
- Project Management, Gonçalves P., Andreeva M.
- Qualitative Marketing Research and Data Analysis, Pellandini-Simányi L., Musil R.
- Software Performance, Hauswirth M., Felici R.
- User Experience Design, Landoni M., Langheinrich M., Soares Guedes L., Zanardi I.
Lecture and Laboratory
Spring semester
Lecture
