PhD Program in Financial Technology:

Core Courses

Total Hours per Course: 20 hours per semester 

Semester 1 (Total 80 Course Hours): 

1. Foundations of Financial Technology and Digital Ecosystems (20 hours) 

2. BlockchainTechnology, Cryptocurrencies, and Decentralized Finance (DeFi) (20 hours) 

3. Research Design, Ethics, and Qualitative Methods in FinTech (20 hours) 

4. Advanced Financial EconometricsI: Time Series and Panel Data Analysis (20 hours) 

 

Semester 2 (Total 80 Course Hours): 

5. Artificial Intelligence and Machine Learning in Financial Services (20 hours) 

6. FinTechRegulation, Policy, and RegTech Innovation (20 hours) 

7. Cybersecurity, Financial Risk Management, and Digital Resilience (20 hours)

8. Advanced Financial EconometricsII: Machine Learning, Big Data, and Microeconometrics for FinTech (20 hours) 

Advanced Topics

Beyondcore courses, studentswill engage withadvancedtopicsthrough dissertation research, specializedseminars, and independentstudy. Potential areas include: 

• DecentralizedAutonomousOrganizations (DAOs) 

•Central Bank Digital Currencies (CBDCs) &Monetary Policy 

• AlgorithmicBias and Fairness in AI for Finance 

• Quantum Computing applications in FinTech (emerging) 

• SustainableFinTech and Green Finance Technologies 

•Advanced RegTech/SupTech solutions 

• BehavioralEconomics of FinTech Adoption 

• The Economics of Digital Platforms and FinTechEcosystems