FinTech
Full Time// 2nd Semester, Course Code: ΜΕΧΡΗ335
Part Time // 4th Semester, Course Code: ΜΕΧΡΗ-Μ335
Credits: 6
Learning Outcomes
Students will be using their PCs all the time, allowing them to become more familiar with both the theory and its implementation using the appropriate software (Python, Power BI and sql). Prior knowledge of these programs is not required for attending this course. Goal of the course is to help students understand WHAT they want to develop, WHY they would need to develop it and then actually develop it.
General Competences
- Search for, analysis and synthesis of data and information, with the use of the necessary technology
- Decision-making
- Working independently
- Teamwork
- Production of free, creative, and inductive thinking
Course Content
- Big Data Analytics και Business Intelligence Tools (Power BI)
- Statistical Learning, Machine Learning και Artificial Intelligence
- Blockchain και Cryptocurrencies
- Algorithmic Trading
Selected material is covered in the following CFA sections:
- CFA Level I: Fintech in Investment Management
- CFA Level II: Algorithmic Trading and High Frequency Trading
Student Performance Evaluation
Students will be assigned 4 projects, one per main course unit, prepare a presentation and examined through open-ended questions
Bibliography
Suggested Bibliography
- Artificial Intelligence Applications in Financial Services, Oliver Wyman
- An Introduction to Statistical Learning with Applications in R. Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
- Blockchain Technology Overview, Dylan Yaga, Peter Mell, Nik Roby, Karen Scarfone
Related Academic Journals
Master of Science (M.Sc.) in
«Banking and Finance»
Specialization in
«Banking and Financial Management»