Master of Science in Financial Technology and Computing (MFT)
Corsi 2023-2024
Semestre autunnale
Lezione
Obbligatorio
- Data Analytics for Finance I & II, Gruber P.
- Distributed Algorithms, Pedone F., de Lima Batista E. R., Milosevic N.
- Distributed Systems, Eugster P. T., Bedi N. S., Peykani Sani P., Rovelli D.
- Financial Modeling, Franzoni F., Mazzari F.
- Fundamentals of Informatics, Sharygina N., Britikov K., Buckley A., Labbaf F.
- Introduction to Fintech, Gruber P., Stojceski F.
- Introduction to Programming (Python), Rosales Rosero E. E., Alecci L., Fenoglio D.
- Investments, Franzoni F., Lazzaretto P.
- Machine Learning (MSc), Wand M., Ashley D. R., Gopalakrishnan A., Herrmann V., Hou Q.
A scelta
- Advanced Topics in Finance, Della Corte P., Füss R.
- Algorithms & Complexity, Arseneva E., Papadopoulou E., Oliver Burwitz N., Wang Z.
- Alternative Investments, Mueller P.
- Finance and Sustainability, Frésard L., Yang Q.
- Financial Stability, Mele A., Yang H.
- Fixed Income Securities and Credit Markets, Mele A., Yang H.
- Innovation, Munshi N. V.
- Launching FinTech Ventures, Schueeli M.
- Mobile and Wearable Computing, Santini S., Abdalazim N. A. R., Alchieri L.
- Project Management, Gonçalves P., Mamashli Z.
- Qualitative Marketing Research and Data Analysis, Pellandini-Simányi L.
- Software Performance, Hauswirth M., Di Lauro F.
- User Experience Design, Landoni M., Langheinrich M., Cosentino A., Zanardi I.
Semestre primaverile
Lezione
