Master of Science – Fintech and Analytics

Master of Science - Fintech and Analytics

The essentials for successful entrepreneurs and Fintech professionals.

Our M.Sc. in Financial Technology and Analytics is a forward-looking degree that prepares you for the future of finance.

As technology continues to disrupt and redefine the financial landscape, professionals equipped with knowledge in both finance and technology will be in high demand.

This degree offers a holistic education to meet the challenges and harness the opportunities of the digital financial era. It combines the domains of finance, technology, and data analytics.

The programme aims to equip you with the skills and knowledge to navigate, innovate, and lead in the rapidly evolving landscape of the financial services industry, particularly in areas impacted by digital transformation.

Graduates of this programme find roles in

FinTech start-ups and unicorns
Traditional banks transitioning to digital platforms
Financial consulting firms focusing on digital transformation
Regulatory bodies overseeing financial technologies
Investment firms dealing with cryptocurrencies and block chain.

Your Future Job Title

FinTech Product Manager
Data Scientist in Finance
Block Chain Developer
Digital Banking Strategist
Algorithmic Trader
RegTech Specialist

Degree Prerequisites

Students pursuing the Master of Science in Financial Technology and Analytics degree programme are required to have completed some undergraduate courses in calculus, linear algebra, probability/statistics, and programming with a grade of “B” or better. Applicants who have not satisfied these requirements will be considered on a case-by-case basis by the programme coordinator and Admissions office.

Curriculum

In addition to courses in foundations of financial markets, introduction to fintech, and so on, the programme concludes with capstone project (a final thesis) and case studies—6 credit hours—that allow you engage with real-world challenges and applications of FinTech solutions as well as hands-on experience with FinTech platforms and tools.

10 Core Courses (22 credit hours)
4 Elective/Concentration Courses (8 credit hours)
1 Thesis (6 credit hours)

Core Courses

Financial Accounting Information and Analysis (2 credit hours)
Financial Markets and Institutions (2 credit hours)
Asset Pricing and Management (2 credit hours)
Corporate Finance and Risk Management (2 credit hours)
RegTech – Regulatory Technology (2 credit hours)
Blockchain and Cryptocurrencies (2 credit hours)
Robotics and Financial Technology (2 credit hours)
Mathematics and Statistical Methods for Financial Analytics (2 credit hours)
Practical Projects, Case Studies, and M.Sc. Research Seminar (2 credit hours)
Ethics and Governance in FinTech (2 credit hours)

Elective/Concentration Courses

Students apply 8 credit hours of specialized coursework to the M.Sc. in FinTech and Analytics degree from the following, in consultation with their academic advisor.

Special Topics in Financial Technology and Analytics (2 credit hours)
Cloud Computing (2 credit hours)
Advanced Statistical Methods for Financial Analytics (2 credit hours)
Advanced Mathematics in Finance (2 credit hours)
Financial Applications of Natural Language Processing (2 credit hours)
Financial Applications of Machine Learning (2 credit hours)
Financial Applications of Blockchain Technology (2 credit hours)
Financial Applications of Web Technologies (2 credit hours)
Risk Evaluation and Management (2 credit hours)
Risk Management and Cybersecurity (2 credit hours)
Digital Banking and Payments (2 credit hours)
Algorithmic Trading and Robo-Advising (2 credit hours)
Spreadsheet Modelling and Analytics (2 credit hours)

Admission Requirements

Provided the University’s matriculation requirements are satisfied:

Applicants with a degree in a relevant area from a recognized University with a minimum of second class lower division may be admitted to the Master of Science degree programme.
Applicants with postgraduate diplomas at upper credit level in relevant areas from a recognized university may be admitted.

Program Duration

Full-time: A Minimum of four (4) semesters and a maximum of six (6) semesters.
Part-time: A minimum of six (6) semesters and a maximum of eight (8) semesters.