Financial Technology (FinTech) is a cluster of emerging innovations with the potential to revolutionise the finance industry, enhancing the productivity of financial firms through data science and advanced digital technologies.
Global investment in FinTech has been so active in recent years that the Monetary Authority of Singapore has launched an initiative, the FinTech and Innovation Group, and pledged to spend hundreds of millions of Singapore dollars to develop the FinTech sector in Singapore.
Nanyang Technological University offers the Master of Science in FinTech hosted by the School of Physical and Mathematical Sciences. The curriculum is built on data science, artificial intelligence, and information technology
and provides students with the FinTech skills necessary to navigate the changing landscape of the finance industry. Students will develop in-depth mastery of disruptive technologies in finance, including financial automation (e.g., Robo-advisors),
financial cryptography (e.g., blockchain technology), and digital financial services (e.g., financial inclusion).
The MSc in FinTech Programme is an intensive one-year full-time or two-year part-time programme by coursework taught in 3 trimesters per academic year. The curriculum consists of two specialisations: Intelligent Process Automation (IPA) and Digital Financial Services (DFS).The courses are delivered in intensive periods of 7 weeks (i.e., each trimester is split into two halves). All courses are conducted at the NTU main campus in the evenings (6:30 PM-10 PM) on weekdays or Saturdays (9:30 AM-1 PM or 2 PM-5:30 PM).
The programme consists of a total of 30 Academic Units (AU), with 12 AU of compulsory courses, 12 AU from the chosen specialisation's electives, and 6 AU from other electives:
|Compulsory Courses (12 AU)
|Elective Courses (12+6 AU)
|Prescribed Electives of the chosen specialisation
The requirements for graduation are:
- Successful completion of the courses of a total of 30 AU as prescribed by MSc in FinTech; and
- Attaining a minimum CGPA of 2.50 at the completion of the programme of study.
Applicants must select one of the following two specialisations:
- The Intelligent Process Automation (IPA) specialisation (code: 270) is designed for students interested in the technical aspects of FinTech. Candidates opting for this specialisation should have a good bachelor’s degree in a
quantitative major or a good track record in mathematics and programming (especially for non-science/engineering graduates).
- The Digital Financial Services (DFS) specialisation (code: 271) is designed for students interested in the managerial aspects of FinTech. Candidates opting for this specialisation should have a good bachelor’s degree in a relevant programme (e.g., quantitative majors, business, etc.) or relevant working experience in the finance industry.
The specialisation is chosen at the point of application into the programme, and a change of specialisation is generally not allowed. However, candidates are allowed to submit two separate applications, one for each specialisation; in that case, the preferred specialisation should be indicated in the applications.
The practicum course, MH6838, starts in Trimester 3 and comprises either a research-based project or a self-sourced internship where students work on a professional consulting project mentored by experienced instructors to solve financial problems. The School will assist students in seeking internship opportunities. The internship companies our students were previously involved with include GIC, Grab, Julius Baer, Lumiq, DBS, OCBC, UOB, Macquarie Bank, CIMB, etc.
Prescribed Elective Courses for Intelligent Process Automation Specialisation
Prescribed Elective Courses for Digital Financial Services Specialisation
Unrestricted Elective Courses
Prescribed Electives of one specialisation can be Unrestricted Electives for another specialisation. Moreover, students can take the following courses as Unrestricted Electives.
|MH6825 FinTech Entrepreneurial Practice
|MH6831 Quantitative Methods in Finance
|MH6832 Reinforcement Learning for Finance
- On average, full-time students take 4 courses a week, and part-time students take 2 courses a week. Part-time students can, at most, take 3 courses a week.
- A 1.5 AU course refers to a 7-week course, with each week consisting of 3.5 teaching hours, including breaks. Similarly, a 3 AU course is a 14-week course consisting of 3.5 teaching hours, including breaks.
For the Trimester Calendar (for NTU Graduate Programmes such as this one), please click here.
Changes specific to MSc in FinTech: In the NTU trimester calendar, Trimester 1 (originally 13 weeks) is extended for one more week and the 14th week is our exam week; Trimester 2 has 14 weeks and students will have a one week break in-between. Trimester 3 starts one week earlier such that the first half has seven weeks.
- A good Bachelor's Degree in a relevant programme (e.g. quantitative majors, business, etc.)
- A TOEFL score of 85 or more, or IELTS score of 6.0 or more, for graduates of universities in which English is not the medium of instruction
- A good GMAT score or GRE score is preferred but not required
- A minimum of two years of relevant working experience is preferred but not required
- A recommendation letter/referee report is preferred but not required
Applicants may upload their TOEFL, IELTS, GMAT or GRE score via the online application.
Refer to Coursework Programmes Admission Guide for general requirements for admission.
NOTE: Complete set of supporting documents (must be legible) have to be uploaded via the fully digital application portal. Do not send a hardcopy admission package unless requested.
Application Procedure and Timeline
Apply online here
|1 November 2023 to 15 March 2024
Offer and Acceptance
End of February 2024 (1st batch of offers)
– for applications before 31 January 2024
End of March 2024 (2nd batch of offers)
– for all applications
|Non-credit-bearing Preparatory Lessons (Linear Algebra, Calculus, and R programming)
Complimentary for matriculated MSc in FinTech students
|5 August 2024
|Check Application/Result Status
|Owing to a large number of applicants, we are unable to attend to phone or email enquiries on application status/results. Click here to check your application status after you have made a successful online payment.
Enrolling students must undergo a medical check-up and obtain a receipt certifying that they are medically fit for studies. This certification must be presented before matriculation. Details about the check-up will be provided upon acceptance into the programme.
The tuition fees for Academic Year 2024/25 are as follows:
|Tuition Fee (inclusive of GST) S$58,000 + prevailing GST (S$ 63,220)
|Singapore Permanent Residents
(non-refundable & non-transferrable)
All students: Due upon acceptance of offer
S$ 5,000 + Prevailing GST (S$ 5,450)
All students: Due at the start of Year 1, Trimester 1
Full-time students: Due at the start of Year 1, Trimester 2
Part-time students: Due at the start of Year 2, Trimester 1
- The OCBC AI Scholarship is offered by the OCBC bank.
This scholarship provides financial assistance to students of any nationality who are seeking or are currently pursuing the programme. Terms and conditions apply. Click here for more information about the scholarship.
- (Singapore Citizens only) The Singapore Digital (SG:D) Scholarship is offered by the Infocomm Media Development Authority (IMDA).
The terms and conditions of the scholarship have been enhanced to groom aspiring Infocomm Media (ICM) talent to be industry-ready for an exciting career in a fast-evolving digital economy. Click here for more information about the scholarship.