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MSc in Financial Technology

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(This database will only be kept till 31 March 2025. During this period, we'll keep you informed with notifications based on your selections, such as information session (video recording link), outreach activities, admission portal opening and closing.)

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).


 

 

MSc in Financial Technology Brochure

 

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)  
Compulsory courses12 AU
Elective Courses (12+6 AU)
Prescribed Electives of the chosen specialisation12 AU
Unrestricted Electives  6 AU
Total 30 AU

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.​ 

Programme Features

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.

Compulsory Courses

MH6800  Foundations of Statistical Modelling1.5 AU
MH6801  Introduction to ​FinTech
1.5 AU
MH6802  FinTech Ecosystem and Innovations
1.5 AU
MH6803  Python Programming
1.5 AU
MH6804  Python for Data Analysis
1.5 AU
MH6805  Machine Learning in Finance3 AU
MH6806  Principles of Finance and Risk Management
1.5 AU

Prescribed Elective Courses for Intelligent Process Automation Specialisation

MH6301  Information Retrieval and Analysis 3 AU
MH6812  Advanced Natural Language Processing with Deep Learning 3 AU
MH6813  Blockchain Systems I: Concepts and Principles1.5 AU
MH6814  Blockchain Systems II: Development and Engineering
1.5 AU
MH6815  Algorithmic Trading and Robo-Advisors
1.5 AU
MH6816  Introduction to Cybersecurity 1.5 AU
MH6831 Quantitative Methods in Finance1.5 AU
MH6832 Reinforcement Learning for Finance1.5 AU

Prescribed Elective Courses for Digital Financial Services Specialisation

MH6331  Financial and Risk Analytics I 1.5 AU
MH6332  Financial and Risk Analytics II 1.5 AU
MH6821  Anti-Financial Crime and Compliance 1.5 AU
MH6822  Regulatory Technology 1.5 AU
MH6823  Financial Inclusion and Decentralized Finance 1.5 AU
MH6824  Fundamentals of FinTech Entrepreneurship 1.5 AU
MH6825 FinTech Entrepreneurial Practice1.5 AU
MH6826 Investment and Portfolio Management1.5 AU
MH6827 Financial Data Management and Business Intelligence1.5 AU
MH6833 Microeconomics and Macroeconomics1.5 AU

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.

MH6838 Practicum 3 AU

Remarks:

  1. 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.

  2. 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.

Academic Calendar

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.

Admission Requirements

The admission criteria are as follows:

  • A good Bachelor's Degree in a relevant programme (e.g. quantitative majors, business, engineering 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

    Below are preferred but not required:
  • A good GMAT score or GRE score
  • Some relevant work experience

Refer to Coursework Programmes Admission Guide for the general requirements for admission.

NOTE:

  • Do not send a hardcopy admission package unless requested. 
  • Complete set of supporting documents (must be legible) have to be uploaded via the fully digital application portal. Applicants to/may upload their TOEFL, IELTS, GMAT or GRE score via the online application.

 

Application Procedure and Timeline

Application
Apply online here

04 Nov 2024 to 31 Jan 2025 (1st batch)
04 Nov 2024 to 15 Mar 2025 (2nd batch)

Offer and Acceptance
Acceptance and deposit payment must be completed within two weeks of the offer.

February 2025 (1st Batch)
March 2025 (2nd Batch) 

Matriculation Mid July 2025
Non-credit-bearing Preparatory Lessons (Linear Algebra, Calculus, and R programming)
Complimentary for matriculated MSc in FinTech students
End July 2025
Course Commencement04 August 2025


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.


Medical Check-Up

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 2025/26 are as follows:

Tuition FeesS$63,220
Deposit FeesS$5,450 – This amount will be deducted from the first billing.
Payment ScheduleFull-time students will be billed in three trimesters while part-time students will be billed in six trimesters.

*All fees shown are inclusive of 9% prevailing GST.

Please note the following:

  1. All fees shown are inclusive of the prevailing Goods and Services Tax (GST).
  2. The above fees are based on the shortest candidature period. Additional fees will be determined and applied on a case-by-case basis.
  3. There is an application fee of S$50.
  4. A one-time miscellaneous fee will be billed every academic year. Please click here for details.
  5. Tuition fees do not include the cost of recommended textbooks and other course materials. The costs of travel, accommodation and miscellaneous expenses must be borne by the student.
  6. All grants will be distributed evenly across the entire billing period, whether it is 3 trimesters for full-time students or 6 trimesters for part-time students. (The tuition fee will be paid in three instalments at the beginning of each trimester. Study grants and other incentives will also be applied to these three installments.)
  7. The university currently has no scholarship, government service agreement, or service obligation scheme available for students.
  8. The fees and grants are reviewed annually and subject to revision

 

Scholarships:

  • (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.

 

SPMS PGC Studentship:

SPMS awards partial scholarships to outstanding candidates to nurture talents for the competitive quantitative field. Scholarship applicants must possess vital/strong academic records and demonstrate leadership qualities and potential.

This scholarship is open to candidates of all nationalities except those already receiving a scholarship/grant.

All applicants will be considered for the awards, and the shortlisted candidates will receive interview invitations.

The successful candidates will receive a scholarship letter together with the offer letter.


Financial Assistance:

  • Singapore Citizens (SCs): study grant of S$10,000 + prevailing GST (S$10,900).
  • Singapore Permanent Residents (SPRs): study grant of S$5,000 + prevailing GST (S$5,450)
  • Needy SCs and SPRs may apply for financial aid (up to S$5,450 in addition to the SC/SPR study grant).
  • NTU Alumni: On top of the above, alumni can enjoy a 10% grant of the tuition fee (S$5,800 + Prevailing GST (S$6,322)). Eligible for holders of bachelor’s, master’s, and/or doctoral degrees obtained from NTU Singapore.
  • SCs and SPRs may enjoy tuition fee subsidies under SkillsFuture Singapore (For enquiry: [email protected])

Contact Us

For general enquiries, email [email protected].

For academic enquiries, email the Programme Director, Associate Prof Patrick PUN ([email protected]).