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Master of Science in Digital Financial Technology

Overview

The National University of Singapore (NUS) Master of Science in Digital Financial Technology (MSc DFinTech) is offered by the NUS School of Computing. 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 courses 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 areas.
• 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.

Application for Admission

Application Period

An Academic Year (AY) at NUS consists of two semesters and a special term. For the MSc in DFinTech programme, there is one application period for each AY:

• Programme: MSc in DFinTech
• Intake: Semester 1 (Aug Intake)
• Application Dates: 1 Nov of the year preceding the intake year to 31 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).
• Skill/Experience: Python programming knowledge and/or learning in advanced quantitative subjects. For holders of Bachelor’s Degrees in related disciplines, two years of FinTech or information technology (IT) industry experience.
• English Language: Applicants whose 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 of 6.0.
• 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 700, or Graduate Aptitude Test in Engineering (GATE) scores for graduates from Indian universities.

Mode of Study and Programme Candidature

The NUS MSc in DFinTech programme is offered on the following basis:

• Full-time: 18 months
• Part-time: 30 months

Programme Structure

The NUS MSc in DFinTech is a 52-Unit coursework-based Master’s Degree programme comprising:

• Core/essential courses (28 Units)
• Elective courses (12 Units)
• Capstone project (12 Units)

Core/Essential Courses

Students must complete 28 Units, comprising courses from the following list:

• FT5001: Fintech Innovations for Consumers
• FT5002: Digital Transformation at Financial Institutions
• FT5003: Blockchain Innovations
• FT5004: Programming for Blockchain Applications
• FT5005: Machine Learning for Finance
• FT5009: Contemporary Topics in Financial Data Analytics
• FT5010: Algorithmic Trading Systems Design and Deployment
• FT5011: Deep Learning for Finance
• BMD5301: Introduction to Finance for FinTech Professionals
• BMD5302: Financial Modelling for FinTech Professionals
• IT5001: Software Development Fundamentals
• IT5003: Data Structures and Algorithms

Elective Courses

Students are strongly encouraged (but not required) to take their 12 Units of elective courses from one vertical track:

• Vertical 1: Computing Technologies
  • CS5224: Cloud Computing
  • CS5231: Systems Security
  • CS5321: Network Security
  • CS5331: Web Security
  • CS5421: Database Applications Design and Tuning
  • CS5439: Software Security
  • FT5008: Contemporary Topics in Blockchain Applications
  • IS4234: Compliance and Regulation Technology
  • IS5008: Technology Risk and Cyber Resilience
  • IS5009: Topics in Financial Technology Solutions
• Vertical 2: Financial Data Analytics and Intelligence
  • CS5242: Neural Networks and Deep Learning
  • CS5246: Text Processing on the Web
  • CS5339: Theory and Algorithms for Machine Learning
  • CS5344: Big-Data Analytics Technology
  • CS5446: AI Planning and Decision Making
  • FT5009: Contemporary Topics in Financial Data Analytics
  • IS5006: Human-Centred Intelligent Systems
  • IS5126: Hands-on with Applied Analytics
  • IS5152: Data-Driven Decision Making
• Vertical 3: Digital Financial Transactions and Risk Management
  • BMF5342: Technological Disruptions in Finance and Data Analytics
  • BMF5346: Venture Capital and Private Equity
  • BMF5353: Applied Investment Strategies
  • BMF5354: Financial Regulation in a Digital Age
  • BMF5355: Financial Institutions, Markets, Systems and Technology
  • BMF5358: Entrepreneurship in Financial Technology
  • BT4013: Analytics for Capital Market Trading and Investment
  • BT4016: Risk Analytics for Financial Services
  • CS5233: Simulation and Modelling Techniques
  • FE5103: Equity Products and Exotics
  • FE5224: Current Topics in Applied Risk Management
  • FE5227: Commodities Fundamentals and Modelling

Capstone Project

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

• FT5007: FinTech Capstone Project

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 Units, comprising 28 Units of core/essential courses, 12 Units of elective courses, and 12 Units of capstone project.
• Course and/or Qualification: Not applicable.
• Grade Point Average (GPA): Minimum 3.0 (out of maximum 5.0).
• Other: Not applicable.

Fees

The University reserves all rights to review fees as necessary and adjust accordingly without prior notice:

• Tuition: S$68,000.00 (excluding GST) / S$74,120.00 (including 9% GST).
• Application: S$109.00 (including 9% GST).
• Acceptance: S$7,412.00 (including 9% GST).
• Miscellaneous Student Fees: As published by the Office of the University Registrar.

Scholarships & Financial Assistance

The scholarships and financial assistance schemes presented here are examples of the kinds of funding from the University as well as third-party sponsors that might be available to eligible NUS Master's Degree (Coursework) programme students and applicants:

• NUS Master's by Coursework Enhanced Tuition Fee Rebate.
• NUS Master's Degree by Coursework Tuition Fee Rebate.
• SG Digital Scholarship (Postgraduate).
• SkillsFuture Level-Up Programme.