Financial technology (abbreviated as FinTech) refers to a broad spectrum of the technologies and innovations that are being used to improve and automate the delivery of financial services. The FinTech industry has grown explosively in the last decade, with the advances being made in cloud computing, data analytics and artificial intelligence (AI). To meet surging demand for high quality FinTech talent in Singapore and globally, this graduate programme in FinTech is designed to help students build a strong foundation in computing and finance, and features a range of elective courses organised along three tracks: Computing Technologies, Financial Data Analytics and Intelligence, and Digital Financial Transactions and Risk Management.
The Master of Science in Digital Financial Technology (MSc DFinTech) is designed primarily to help prepare graduates for challenging but rewarding careers as AI software developers, data scientists, FinTech security specialists, financial quantitative analysts and other similar professions in financial institutions or FinTech firms.
In addition, to help build a strong foundation in computing and finance, this programme offers elective courses that cover deep computing and finance expertise to help prepare graduates for future career challenges in the FinTech sector.
Computing
Dean's Office
msc-dft@comp.nus.edu.sgThe NUS School of Computing traces its roots back to the Nanyang University Department of Computer Science that was established in 1975 – the first of its kind in Singapore. Since then, we have developed into one of the leading computing schools in the world, with faculty members who are both internationally recognised researchers and inspiring teachers.
We offer outstanding undergraduate and graduate degree programmes across the full spectrum of the field of computing, including Computer Science, Information Systems, Computer Engineering, Business Analytics and Information Security, as well as specialisations in emerging areas of importance such as artificial intelligence, fintech, blockchain, analytics and security. Correspondingly, we attract excellent students and produce talented graduates who are making their mark in the world.
| Commitment | Average Candidature | Maximum Candidature |
|---|---|---|
| Full Time | 1.5 Year | 3 Years |
| Part Time | 2.5 Years | 3 Years |
MSc in Digital Financial Technology programme is suitable for candidates with passion in learning FinTech subjects. Admission to the programme is granted on a competitive basis as places in the programme are limited. Applicants should possess the following minimum requirements:
- A bachelor’s degree in computing; or
- A bachelor’s degree in a related discipline (such as Science, Technology, Engineering and Mathematics (STEM), Finance, Economics, Statistics or Business).
Work experiences in FinTech, AI, or Data Analytics will be advantageous, but are not required. Since a large proportion of our curriculum involves programming, non-computing students must provide sufficient evidence of python programming knowledge and/or evidence of learning advanced quantitative subjects.
| Criteria | Minimum Score | ||
|---|---|---|---|
| GMAT | 650 / 800 | ||
| English Proficiency Tests | TOEFL Internet-based | 90 / 120 | |
| IELTS | 6.0 / 9 | ||
Please refer to MSc in DFinTech Admission Requirements for more information.
| Category | Application Window | Application Result Released | |
|---|---|---|---|
Semester 1 Intake (August) | All students of any nationalities | Application Opens: November 1 2025 Application Closes: January 31 2025 | Please refer to https://www.comp.nus.edu.sg/programmes/pg/mdft/application/ for more information. |