Master of Science in Financial Technology and Computing (MFT)
Corsi 2021-2022
Semestre autunnale - Corso di base
- Data Analytics for Finance I & II, Gruber P.
- Databases, Crestani F., Riva M.
- Distributed Algorithms, Pedone F., Eslahi Kelorazi M., Milosevic N.
- Distributed Systems, Eugster P. T., Mangipudi S.
- Financial Econometrics, Mancini L., Ye Y.
- Financial Modelling, Franzoni F., Mano N.
- Financial Stability, Mele A., Yang H.
- High-Performance Computing, Schenk O., Holt T. A. B., Lechekhab M.
- Introduction to Programming, Binder W., Georgiou A.
- Investments, Franzoni F., Buergin D.
- Machine Learning, Wand M., Ashley D. R., Faccio F., Gopalakrishnan A., Herrmann V., Kirsch L.
- Master Thesis (MFT), Langheinrich M., Pedone F.
Semestre autunnale - Corso a scelta
- Advanced Derivatives, Barone Adesi G., Ye Y.
- Algorithms & Complexity, Papadopoulou E., Nayak K.
- Alternative Investments, Mueller P.
- Fixed Income Markets, Mele A., Yang H.
- Launching FinTech Ventures, Schueeli M.
- Mobile and Wearable Computing, Santini S., Gashi S.
- Project Management, Gonçalves P., Akhavan Anvari A.
- Qualitative Marketing Research and Data Analysis, Pellandini-Simányi L., Rovetta N.
- Software Engineering, Denaro G., Mohebbi A.
- Software Performance, Hauswirth M., Blicha M.
- User Experience Design, Landoni M., Langheinrich M., Soares Guedes L., Valguarnera S.
