The National University of Singapore (NUS) is a comprehensive research university in Singapore, offering degree programs in a wide range of disciplines at both undergraduate and postgraduate levels. It offers a global approach to education and research and plays a key role in the further development of modern technology and science. The university together with the Asian Institute of Digital Finance (AIDF), NUS School of Computing, and NUS Business School jointly offered the Master of Science in Digital Financial Technology (MSc in DFinTech) in their programs. This program will equip students with a strong foundation in cloud computing, finance, data analytics, and artificial intelligence (AI). Students can also take elective modules in addition to the core modules and can choose to do either an academic research project or a FinTech internship for the two-semester capstone project. This program optimizes learning with a customizable curriculum by choosing one of the three tracks on the elective modules specified as computing technologies, financial data analytics and intelligence, and digital financial transactions and risk management.
Throughout the course duration, students will advance their skills in FinTech innovations for customers, digital transformation at financial institutions, programming for blockchain applications, python programming, machine learning for finance, financial modeling for FinTech professionals, software development fundamentals, and data structures and algorithms. Graduates from this program will showcase their overall skills and experience that can lead to rewarding careers as AI software developers, data scientists, FinTech security specialists, financial quantitative analysts, blockchain developers, FinTech product specialists, and other professions in financial institutions or FinTech firms.
The admission requirements for the Master of Science in Digital Financial Technology (MSc in DFinTech) at the National University of Singapore are Bachelor’s Degree in Computing or Bachelor’s Degree in a related discipline (STEM, Finance, Economics, or Business); python programming knowledge or learning in advanced quantitative subjects, or for holders of bachelor’s degree in related disciplines, a two-year FinTech or IT industry experience; TOEFL minimum score of 90 in internet-based or IELTS minimum academic score of 6.0. For international applicants, it is preferred to submit a graduate record examinations (GRE) minimum score of 320 (verbal and quantitative reasoning) and 3.5 (analytical writing) or a graduate management admission test (GMAT) minimum score of 700, or a graduate aptitude test in engineering (GATE) scores for graduates from Indian universities.
Students are required to pay the tuition fee amounting to S$58,000.00 (excluding GST) or S$62,060.00 (including GST) for 52-Modular credits. For the students who are required to take more than 52-Modular credits for program completion, they are subject to pay supplementary tuition fees. An application fee of S$50 (including GST) and an acceptance fee of S$5,000 (excluding GST) are exclusive to the tuition fee. Eligible students can apply for financial assistance and receive funding support from Singapore Digital (SG:D) Scholarship (Postgraduate) (Singapore Citizens only), AIDF Full-Tuition-Fee-Waived Scholarships (ASEAN and Singapore Citizens only), and AIDF MSc DFinTech Study Awards (Singapore Citizens and Singapore Permanent Residents only).