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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.

CODECOURSE NAMECREDIT
MSFT 101Foundations of FinTech3
MSFT 102Statistics for Analytics with R3
MSFT 103Research Methods, Data Ethics & Reproducibility3
MSFT 201Blockchain, Digital Assets & Cryptocurrencies3
MSFT 202Cybersecurity & Fraud Detection in FinTech3
MSFT 203Intersection of Finance, Strategy & Sustainability3
MSFT 301Data Visualization, Storytelling & Dashboards3
MSFT 302FinTech Regulation, Compliance & Model Governance3
MSFT 303Digital Investment & Portfolio Management3
 
MSFT 401Artificial Intelligence & Machine Learning for Finance3
MSFT 699Industry Capstone Project or Dissertation3
 
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Entry Requirements

  1. Applicants of this program should possess a bachelor’s degree.
  2. 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:

  1. Satisfactorily completed all the courses and the total number of credit hours specified for the program.
  2. Obtained a final CGPA of at least 2.67 on completion of the program.
  3. Paid all fees due to the university.

Grading System

The grading system for all courses is as follows:

MarksGradeGrade Point (GPA)Meaning
90-100A+4.00High Distinction
80-89A3.67Distinction
75-79A-3.33Very Good
70-74B+3.00Good
65-69B2.67Pass
60-64B-2.33
55-59C+2.00
50-54C1.67
Less than 50F0.0Fail
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