HKU-SCF Scholarship in Financial Technology
香港大學 - 渣打慈善基金金融科技獎學金
On the Donor
In 2020, the Department of Computer Science under the Faculty of Engineering in
The University of Hong Kong established the HKU-SCF Scholarship in Financial
Technology supported by the Standard Chartered Hong Kong 150th Anniversary Community
Foundation (SCF) for local students admitted to the BASc(FinTech)1, MSc(FTDA)2, and
MSc(CompSc)[Financial Computing Stream]3 programmes of the Department.
The University of Hong Kong (HKU) and Standard Chartered Bank (Hong Kong) Limited are proud to jointly announce the establishment of The University of Hong Kong – Standard Chartered Hong Kong 150th Anniversary Community Foundation FinTech Academy (HKU-SCF FinTech Academy) with generous support from the Standard Chartered Hong Kong 150th Anniversary Community Foundation (SCF).
With the HKU-SCF FinTech Academy in place, HKU will nurture talents through the recently launched Bachelor’s degree in Financial Technology [(BASc (FinTech)] and a new interdisciplinary Master’s degree in Financial Technology in 2021. This will increase the annual intake to meet the demands of students and industry.
In 2025, a new donation was pledged to continue supporting the awarding of this
Scholarship. Following a structural update, the School of Computing and Data Science will
remain responsible for administering the HKU-SCF Scholarship in Financial Technology,
while the Faculty of Business and Economics (HKU Business School) will assume principal
responsibility for managing the FinTech Academy.
HKU-SCF Scholarship in Financial Technology shall support local students admitted to the BASc(FinTech), MSc(FTDA), and MSc(CompSc)[Financial Computing Stream] programmes of the Department of Computer Science.
Read more about FINTECH x HKU
Purpose and Scope
The Scholarship shall be awarded annually under the following categories:
(A) For undergraduate students:
The Scholarship shall be awarded annually to local students admitted to the
BASc(FinTech) programme on the basis of academic merit as shown in the
results of the relevant public examinations. If necessary, applicants may be
invited for interviews.
- The Scholarship shall be awarded annually to local Year 1 students admitted to the BASc(FinTech) programme on the basis of academic merit as shown in the results of the relevant public examinations. If necessary, applicants may be invited for interviews.
- Up to six scholarships (including both new and renewed awards) shall be awarded each year. The value of each Scholarship shall be HK$80,000. The exact number of scholarships to be offered each year shall be determined by the Selection Committee.
- The tenure of the Scholarship shall be determined by the Selection Committee on
the basis of public examination results upon admission (and interview
performance if applicable). For scholarship tenures exceeding one year, renewal shall be subject to satisfactory academic performance being maintained (minimum
CGPA 3.0 or above).
(B) For postgraduate students:
- The Scholarship shall be awarded annually, on the basis of academic merit, to full-time or part-time local students holding a Bachelor’s degree and admitted to the MSc(FTDA) or the MSc(CompSc) [Financial Computing Stream] programme. If necessary, applicants may be invited for interviews.
- Up to four scholarships shall be awarded each year. The value of each Scholarship shall be HK$100,000. The exact number of scholarships to be offered each year shall be determined by the Selection Committee.
- The Scholarship shall be tenable for one year.
- The Scholarship cannot be held concurrently with other scholarships administered by the Department of Computer Science.
Visit the following links to learn more about the Scheme and the recipients of the HKU-SCF Scholarship in Financial Technology:
| Value of Award |
see Purpose and Scope |
| Renewal Conditions |
see Purpose and Scope |
| Type of Scholarships |
Entrance Scholarships for New Students |
| Place of Origin of Students |
Not specified |
| Level of Study |
Undergraduate, Postgraduate |
| Faculty |
School of Computing and Data Science |
last update: 2025-11-24 14:55:19