FB470 – Innovative Financial Technologies (FinTech)
Master of Science in Business Intelligence and Data Analytics
Core Course
FB470 – Innovative Financial Technologies (FinTech)
Course Unit Code: FB470
Type Of Unit: Elective
Level of Course Unit: Second cycle
Year of Study: Second year
Semester: On demand
Number of ECTS Credits: 6
Class Contact Hours: 28
Mode of Delivery
Face to Face
Prerequisites
None
Course Objectives
The objective of this course is to to provide students with an overview of FinTech and introductions to its applications in financial services, such as commercial and investment banking, digital investing, financial advising, and insurance.
Learning Outcomes
- Understand the new FinTech and InsurTech Business Models.
- Understanding current Fintech solutions.
- Understand Chatbots and Robo-advisors in FinTech.
- Understand Artificial Intelligence in Finance and Insurance.
- Understanding the leading Fintech Hubs.
Course Content
Course Features
Planned learning activities and teaching methods
Lectures; in-class discussion and debates; in-class exercises; problem sets; team work; video case studies, team presentations, interactive online learning via Moodle (quizzes, assignments, forums)
Assessment methods and criteria
10% Class participation
90% Assigned Project
Language of Instruction
English
Work Placement(s)
Not applicable
Readings
Recommended or required reading
Textbooks:
1. Chishti, S., Barberis, J., (2016). The FINTECH Book: The Financial Technology Handbook for Investors, Entrepreneurs and Visionaries, Wiley: Haboken, ISBN: 978-1-119-21887-6.
Articles & Journals:
2. Chen, M., Wu Q. & Yang B. (2019). How Valuable Is FinTech Innovation? Review of Financial Studies, 1-45. Available from (open access): https://academic.oup.com/rfs/article/32/5/2062/5427776?login=true
3. Zarifis A. & Cheng X. (2021). Evaluating the New AI and Data Driven Insurance Business Models for Incumbents and Disruptors: Is there Convergence?, Lecture Notes in Business Information Processing-Springer, 1-13.
4. Zarifis A., Kawalek P. & Azadegan A. (2021). ‘Evaluating if Trust and Personal Information Privacy Concerns are Barriers to Using Health Insurance that Explicitly Utilizes AI’, Journal of Internet Commerce, vol.20, pp.66-83.
Available from (open access): https://doi.org/10.1080/15332861.2020.1832817
5. Zarifis A., Holland C.P. & Milne A. (2019). Evaluating the impact of AI on insurance: The four emerging AI and data driven business models, Emerald Open Research, pp.1-17. Available from (open access): https://emeraldopenresearch.com/articles/1-15/
6. Herbert I., Milne A. & Zarifis A. (2019). Data technologies and next generation insurance operations, Journal of Financial Transformation, vol.50, pp.110-117. Available from: https://ideas.repec.org/a/ris/jofitr/1630.html
7. Herbert I. & Zarifis A. (2019). The AI Challenge, Management Services Journal, Winter, pp.14-20. Available from: https://www.ims- productivity.com/page.cfm/content/Management-Services-Article-Archive/
Online sources:
https://fintechweekly.com/
English (UK) 
Ελληνικά