MSc in Financial Technology (MSc FinTech)
A jointly run engineering, business and science programme covering the engineering and financial principles behind financial technology, including AI, machine learning and blockchain. Students take a common core plus electives drawn from all three schools (at least one from each), and complete an enrichment activity requirement.
What you’ll study
Core
- FINA 5120
- FINA 5210
- ISOM 5220
- MFIT 5001
- MFIT 5002
- MFIT 5003
- MFIT 5004
- MFIT 5005 (16 credits; page gives codes only)
- MFIT 5012 enrichment activities (required)
- MFIT 5006 (may be required for students without strong maths background)
Electives
- 14 credits from School of Engineering, School of Business and Management and School of Science; list announced each year, none named on page
Source: prog-crs.hkust.edu.hk ↗
Before you apply
- Background
- Bachelor's degree from a recognised institution
- Maths
- Mathematics background preferred (not mandatory)
- Programming
- Programming background preferred (not mandatory)
- Tests
- GMAT or GRE highly recommended, not compulsory
- English
- TOEFL iBT 80 (tests before 21 Jan 2026) / new-scale 4.5 (from that date); IELTS Academic 6.5 with all sub-scores 5.5; exempt if English-medium degree
- Other
- Part-time: at least 2 years full-time post-qualification work experience highly recommended; full-time has no minimum. Selective, rolling admission.
Source: prog-crs.hkust.edu.hk ↗
After graduation
The programme doesn’t publish an employment report.
Want to see what employers ask for? Browse open quant roles.
Also offers a 4+1 pathway for HKUST BScRMBI students (CGA 3.3+). Not on the QuantNet ranking. Forums not searched successfully.
Checked 6 November 2026 against the sources linked on this page. Fees, units and requirements change each year, so confirm them on the programme’s website before applying.