MSc in Financial Technology
MASTER OF SCIENCE IN FINANCIAL TECHNOLOGY (MS FinTech) PROGRAM
VISION:
To equip future professionals with a balanced, cutting-edge education in finance and technology, enabling them to lead transformative innovation across the global financial ecosystem.
MISSION:
The Master of Science in Financial Technology program aims to provide students with interdisciplinary expertise across finance, technology, and data science. Through rigorous coursework and real-world application, the program prepares graduates to navigate and shape the rapidly evolving FinTech landscape with ethical insight, analytical precision, and practical innovation.
PROGRAM LEARNING OUTCOMES:
Upon successful completion of the MS FinTech program, students will be able to:
- Demonstrate a strong foundational understanding of financial technology, including its principles, applications, and emerging trends.
- Apply statistical and data science techniques using tools such as R and Python for financial analysis and risk management.
- Analyze blockchain systems, digital assets, and cryptocurrency markets with an understanding of their legal, technical, and economic implications.
- Evaluate cybersecurity frameworks and implement fraud detection methods tailored to FinTech operations.
- Integrate financial strategy with sustainability goals, addressing ESG considerations in FinTech environments.
- Design data-driven dashboards and communicate insights through effective data storytelling and visualization.
- Understand and apply financial regulations, compliance standards, and model governance in real-world contexts.
- Employ artificial intelligence and machine learning techniques to optimize financial services, investment decisions, and customer experiences.
- Lead and manage interdisciplinary projects in FinTech, including successful execution of capstone or dissertation research aligned with industry needs.
- Uphold ethical standards and data responsibility in all aspects of financial technology development and deployment.
Program Structure
The program spans 4 semesters (16 months), comprising 36 credits in total.
| CODE | COURSE NAME | CREDIT |
| MSFT 101 | Foundations of FinTech | 3 |
| MSFT 102 | Statistics for Analytics with R | 3 |
| MSFT 103 | Research Methods, Data Ethics & Reproducibility | 3 |
| MSFT 201 | Blockchain, Digital Assets & Cryptocurrencies | 3 |
| MSFT 202 | Cybersecurity & Fraud Detection in FinTech | 3 |
| MSFT 203 | Intersection of Finance, Strategy & Sustainability | 3 |
| MSFT 301 | Data Visualization, Storytelling & Dashboards | 3 |
| MSFT 302 | FinTech Regulation, Compliance & Model Governance | 3 |
| MSFT 303 | Digital Investment & Portfolio Management | 3 |
| MSFT 401 | Artificial Intelligence & Machine Learning for Finance | 3 |
| MSFT 699 | Industry Capstone Project or Dissertation | 3 |
Entry Requirements
- Applicants of this program should possess a bachelor’s degree.
- All Applicants must pass the university English proficiency test or provide evidence for international English certification.
Duration:
1.5 year = 4 Semesters * 4 months
Program Fees:
- Tuition Fees: $2000 ($100/ Month)
- Registration Fees: $80
Graduation Requirements
Candidates must fulfil the following requirement for graduation to qualify for the degree:
- Satisfactorily completed all the courses and the total number of credit hours specified for the program.
- Obtained a final CGPA of at least 2.67 on completion of the program.
- Paid all fees due to the university.
Grading System
The grading system for all courses is as follows:
| Marks | Grade | Grade Point (GPA) | Meaning |
| 90-100 | A+ | 4.00 | High Distinction |
| 80-89 | A | 3.67 | Distinction |
| 75-79 | A- | 3.33 | Very Good |
| 70-74 | B+ | 3.00 | Good |
| 65-69 | B | 2.67 | Pass |
| 60-64 | B- | 2.33 | |
| 55-59 | C+ | 2.00 | |
| 50-54 | C | 1.67 | |
| Less than 50 | F | 0.0 | Fail |
