OVERVIEW

The National University of Singapore (NUS) Master of Science in Digital Financial Technology (MSc DFinTech) is jointly offered by the Asian Institute of Digital Finance (AIDF), NUS School of Computing and NUS Business School.

Financial technology (abbreviated as FinTech) refers to a broad spectrum of 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 new flagship graduate programme in FinTech is designed to help students build a strong foundation in computing and finance, and features a range of elective modules organised along three tracks: Computing Technologies, Financial Data Analytics and Intelligence, and Digital Financial Transactions and Risk Management.

The programme is intended 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.

Why This Programme?

  • Build a solid foundation in FinTech with a programme backed by NUS School of Computing and the NUS Business School, both of which are ranked among the best schools in their subject areas1.

  • Optimise learning with a customisable curriculum; choose electives according to one of three tracks or based on personalised needs, and decide which capstone project option is a better fit—an academic research project conducted under the supervision of our accomplished faculty, or an internship with a FinTech company to gain practical industry experience.

  • Prepare for a career in the fast-growing FinTech sector such as a Blockchain Developer, Financial Analyst or FinTech Product Specialist.

1 QS World University Rankings by Subject 2021

APPLICATION FOR ADMISSION

Application Period
An Academic Year (AY) at NUS consists of two semesters and a special term (which occurs during the Semester 2 Vacation, and is divided into two parts of six weeks duration each):

  • Semester 1: Aug–Dec
  • Semester 2: Jan–May
  • Special Term (Part 1): May–Jun
  • Special Term (Part 2): Jun–Jul

For the MSc in DFinTech programme, there is one application period for each AY:

Programme Intake Application Dates
MSc in DFinTech Semester 1
(Aug Intake)
Nov of year preceding the intake year to Jan of the intake year

ADMISSION REQUIREMENTS

Admission to the NUS MSc in DFinTech programme is granted on a competitive basis as places in the programme are limited. Applicants should possess the following minimum requirements:

Academic 
  • Bachelor's Degree in Computing, or
  • Bachelor's Degree in a related discipline (such as Science, Technology, Engineering, and Mathematics (STEM), Finance, Economics or Business)

Note: Candidates with academic qualifications other than the above may be considered on a case-by-case basis, subject to approval by the department

Skill/Experience

Python programming knowledge and/or learning in advanced quantitative subjects

For holders of Bachelor’s Degrees in related disciplines (see above), two years of Fintech or information technology (IT) industry experience

English Language
Applicants whose native tongue and medium of university instruction is not completely in English:

  • Test of English as a Foreign Language (TOEFL) minimum score of 90 (Internet-based), or
  • International English Language Testing System (IELTS) minimum Academic score 6.0

Note: TOEFL / IELTS scores are valid for two years from the test date and should not have expired at point of application. Expired scores will not be considered for the application.

Other

International applicants*:

  • Graduate Record Examinations (GRE) minimum scores of 320 (Verbal Reasoning and Quantitative Reasoning) and 3.5 (Analytical Writing), or
  • Graduate Management Admission Test (GMAT) minimum score of 650, or
  • Graduate Aptitude Test in Engineering (GATE) scores for graduates from Indian universities.

* GRE/GMAT/GATE preferred, but not required.

Candidates may be required to sit for other tests as prescribed by the School.

Note: GRE scores are valid for five years from the test date and should not have expired at point of application. Expired scores will not be considered for the application.


MODE OF STUDY AND PROGRAMME CANDIDATURE

The NUS MSc in DFinTech programme is offered on the following basis (with estimated time to complete the programme indicated below):

 Full-time  18 months 

Note: International applicants must be accepted into an approved full-time course in Singapore to apply for a Student’s Pass. Part-time courses and courses conducted in the evening or on weekends are not eligible. For more information, refer to the Singapore Immigration & Checkpoints Authority (ICA) website.

PROGRAMME STRUCTURE

The NUS MSc in DFinTech is a 52-modular credit (MC) coursework-based Master’s Degree programme comprising:

  • Core/essential modules (28 MCs), 
  • Elective modules (12 MCs), and
  • Capstone project (12 MCs).

Core/Essential Modules

Students must complete 28 MCs (16 MCs focused on computing and finance, and 12 MCs on FinTech), comprising modules from the following list.

View Modules

Module Code Module Title MCs
FT5001 Fintech Innovations for Consumers 2
FT5002
Digital Transformation at Financial Institutions
2
FT5003
Blockchain Innovations
2
FT5004
Programming for Blockchain Applications
2
FT5005
Machine Learning for Finance
4
BMF5321
Financial Modelling
4
*BMF5322D Introduction of Finance
4
*IT5001
Software Development Fundamentals
4
*IT5003  Data Structures and Algorithms
4

* Students who have completed one or more module(s) similar to BMF5322D, IT5001 and/or IT5003 can submit a request to the School of Computing and (subject to the School’s approval) take the following as replacement:

  • IT5004 Enterprise Systems Architecture Fundamentals,
  • IT5005 Artificial Intelligence, or
  • IT5006 Fundamentals of Data Analytics
Elective Modules

Students are strongly encouraged (but not required) to take their 12 MCs of elective modules from one vertical track, as described in the following list.

View Modules

Vertical 1: Computing Technologies
Module Code Module Title MCs
CS5224 Cloud Computing 4
CS5231
Systems Security
4
CS5321
Network Security
4
CS5331
Web Security
4
CS5421
Database Applications Design and Tuning
4
CS5439  Software Security  4
IS4234
Compliance and Regulation Technology
4
IS5008
Technology Risk and Cyber Resilience 4
IS5009
Topics in Financial Technology Solutions
4
Vertical 2: Financial Data Analytics and Intelligence
Module Code Module Title MCs
CS5242 Neural Networks and Deep Learning 4
CS5246 Text Processing on the Web 4
CS5339 Theory and Algorithms for Machine Learning  4
CS5344 Big-Data Analytics Technology 4
CS5446
AI Planning and Decision Making
4
IS5006
Intelligence Systems Deployment
4
IS5126  Hands-on with Applied Analytics
4
IS5152
Data-Driven Decision Making
4
Vertical 3: Digital Financial Transactions and Risk Management
Module Code Module Title MCs
BMF5333 Options and Fixed Income 4
BMF5342 Technological Disruptions in Finance and Data Analytics 4
BMF5346 Venture Capital and Private Equity 4
BMF5353 Applied Investment Strategies 4
BMF5355 Financial Institutions, Markets, Systems and Technology 4
BMF5356 Applied Financial Risk Management 4
BT4013 Analytics for Capital Market Trading and Investment 4
BT4016 Risk Analytics for Financial Services 4
CS5233 Simulation and Modelling Techniques 4

Capstone Project

Students can choose to do either an academic research project or a FinTech internship for the two-semester capstone project.

View Modules

Module Code Module Title MCs
FT5007 FinTech Capstone Project 12

Note: For more information about the modules listed above (as well as other modules offered in the current academic year), please visit NUSMODS.

GRADUATION REQUIREMENTS

To graduate from the NUS MSc in DFinTech programme, students must meet the following requirements:

Programme and/or Specialisation

Read and pass a total of 52 MCs, comprising:

  • 28 MCs of core/essential modules
  • 12 MCs of elective modules
  • 12 MCs of capstone project
Module and/or Graduate Certificate

Not applicable

Cumulative Average Point (CAP) 

Minimum 3.0 (out of maximum 5.0)

Please see also the University’s minimum standards for Continuation and Graduation Requirements specific programmes may implement stricter or additional requirements.

Other 

Not applicable


FEES AND FINANCIAL ASSISTANCE

Kindly note that all fees for the NUS MSc in DFinTech programme quoted on this page are exclusive of prevailing GST, unless otherwise stated. The University reserves all rights to review fees as necessary and adjust accordingly without prior notice.

 


Tuition

S$58,000 (excluding GST)

Note: The tuition fee stated above is for 52 MCs. Students who are required to take more than 52 MCs for programme completion are subject to supplementary tuition fees.

Financial Assistance

Students in this programme have in the past been eligible for, or received funding support from:

Singapore Digital (SG:D) Scholarship (Postgraduate) (Singapore Citizens only) — An industry scholarship offered by the Infocomm Media Development Authority that empowers individuals interested in pursuing Infocomm Media-related studies at the Master's or PhD level

For more about loans and other financial assistance, please refer to the NUS Office of Admissions.

Acceptance

S$50 (including GST)

  • Non-refundable and non-transferable
  • Limited to one application submission per intake, for up to a maximum of five programmes/courses per application
Acceptance

S$5,000 (excluding GST)

  • Payable upon acceptance of offer
  • Non-refundable and non-transferable
  • Will be credited towards tuition fees
Miscellaneous Student Fees

As published by NUS Registrar’s Office

  • Payable every regular semester

Programme at a Glance*
Upcoming Webinar(s):

Fri, 19 Nov 2021,
8.30pm–9.30pm (SGT):

MSc in Digital Financial Technology Info Session

Register now!


Next Intake:
Application Period:
1 Nov 2021–31 Jan 2022

Coming soon!

* For full details, please refer to main write-up.

Related Content

• NUS ranked among top 10 worldwide for Computer Science and Engineering

• FinTech in Singapore: Leveraging on Disruption for a Better Tomorrow

FREQUENTLY ASKED QUESTIONS

Click on the links below for more information:

Is two years of relevant work experience an admission requirement?

Fresh graduates are welcome to apply for this programme. If you do not possess an Honours and/or a four-year Bachelor Degree, work experience in the field of financial technology (FinTech), artificial intelligence (AI) or data analytics would be advantageous but is not strictly required.

Applications will be assessed holistically, with consideration given to academic performance, professional certifications, relevant work/internship experience, company endorsement and co-curricular activities.

Is programming knowledge needed?

Since a large proportion of the MSc in Digital Financial Technology programme curriculum involves programming, non-computing students must provide sufficient evidence of Python programming knowledge and/or evidence of learning advanced quantitative subjects. This can be in the form of completed modules, online courses and/or professional certifications. However, exceptional applicants who do not meet the above requirements may still be considered.

What is the minimum Grade Point Average (GPA)/result required?

There is no minimum GPA stipulated as part of the admission requirements. However, as this is a highly competitive programme with limited seats, it would be advantageous to have a good GPA (i.e. a score of 80% and above).

Is the Graduate Record Examinations (GRE)/Graduate Management Admission Test (GMAT) mandatory?

As evidence of academic ability and readiness for graduate study, international applicants are encouraged to submit GRE/GMAT test scores (for GRE, minimum scores for Verbal Reasoning & Quantitative Reasoning of 320 and Analytical Writing of 3.5, and for GMAT, minimum score of 650).

Applications submitted without GRE/GMAT test scores will be reviewed holistically, with consideration given to academic performance, professional certifications, relevant work/internship experience, company endorsement and co-curricular activities.

Will applicants need to attend interviews?

This will assessed on a case-by-case basis, but in general applicants are unlikely to be required to attend interviews.

However, in the Personal Statement section of the online application, applicants are required to describe succinctly your reasons for applying to the programme, preparation for the field of study, future career plans, and other aspects of your background and interests that may help in the evaluation of your aptitude and motivation for graduate studies.

For enquiries, please email us at pgc@nus.edu.sg.

 
18 October 2021