About the program
The Master of Financial Technology gives students in-depth knowledge and applied skills in combining technology with financial services, to develop innovative solutions for finance and business.
The program focuses on digital financial systems and emerging technologies such as blockchain, artificial intelligence and big data analytics,
and their role in making financial transactions more efficient, managing risk and developing digital financial products.
It also prepares graduates to lead digital transformation initiatives in financial institutions,
and to develop competitive, innovation-based strategies in step with the rapid developments of local and global financial markets,
and in FinTech start-ups,
by developing skills in quantitative analysis, financial programming, digital product design and digital risk management.
Program outcomes
- Advanced knowledge of modern economic and financial theories and their application in financial technology.
- Mastery of modern technologies such as blockchain, smart contracts, digital currencies and AI in financial solutions.
- Understanding of the legal and regulatory frameworks of FinTech at local and international level.
- The ability to analyze digital financial models and assess the viability of innovative technical solutions.
- Using predictive and statistical analysis tools to interpret big financial data.
- Critical thinking to assess the impact of financial innovation on markets and institutions.
- Developing intelligent financial models with programming languages and advanced analytics tools.
- Designing and delivering FinTech solutions through APIs and cloud environments.
- Carrying out research or applied projects in risk analysis and digital financial compliance.
- Managing FinTech projects efficiently in multidisciplinary digital environments.
- Communicating professionally with stakeholders through technical and analytical reports.
- Upholding ethical standards and social responsibility in financial innovation.
Study plan
The approved plan in the university system, by semester.
1Semester 1
| Code | Course | Hours | Prerequisite |
|---|---|---|---|
| UNI201 | Principles of Statistics | 3 | — |
| UNI102 | Research Methodology | 3 | — |
| FIN102 | Financial Markets and Institutions | 3 | — |
2Semester 2
| Code | Course | Hours | Prerequisite |
|---|---|---|---|
| UNI103 | Academic Writing and Research Skills | 3 | — |
| UNI105 | Using Artificial Intelligence in the Discipline | 3 | — |
| MFTC-101 | Modern Financial Technologies | 3 | — |
3Semester 3
| Code | Course | Hours | Prerequisite |
|---|---|---|---|
| MFTC-102 | Quantitative Analysis for FinTech | 3 | — |
| UNI104 | Research Issues | 3 | — |
| MFTE-201 | Cybersecurity in Financial Systems | 3 | — |
4Semester 4
| Code | Course | Hours | Prerequisite |
|---|---|---|---|
| MFTC-103 | Blockchain and Digital Currencies | 3 | — |
| MFTC-110 | Completing the thesis for its defense after the fourth semester | 6 | — |