Undergraduate Studies
Academic Year 2025-26
Financial Technology (FinTech)
Files and Links
- Course Outline .pdf (Greek)
- Course Outline .pdf (English)
- Full Description @courses.xrh
- Link to e-class
6th or 8th Semester
ΧΡΗΤΕ
Course id
7,5
ECTS
Special background, Skills development
Course type
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.
- 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
- 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
