Continuing Education Fund (CEF)

Continuing Education Fund (CEF)

With effect from Fall 2020 intake, the following 4 core courses have been included in the list of reimbursable courses under the Continuing Education Fund. This program (MSc in Big Data Technology) of these modules is recognized under the Qualifications Framework (QF Level [6]).  Eligible applicants for CEF may be reimbursed with a maximum sum of HK$25,000 upon successful completion of the reimbursable course(s) with an attendance rate over 70% in each course. For details and updates of eligibility, application, and reimbursement procedures (in particular the reimbursement period from the date of application), please check the CEF Office or 3142-2277 (24-hour enquiry hotline). 

Meanwhile, as informed by the Labour and Welfare Bureau (LWB), for CEF courses to be offered with effect from Fall 23 Term, students are required to sign a Statement of Consent & Acknowledgement for the CEF reimbursement claims with one form per course in each term.  Completed forms can be returned to Program Office or the drop-off box outside Rm 5601 during non-office hours.  

**The below core courses will only be eligible for CEF reimbursement until 1/4/2024.**

Name of Institution The Hong Kong University of Science and Technology (HKUST) 
CEF Institution Cod 003 
Institution HKUST 
CEF Course Code CEF Course Title Sector
34Z126908 cef logo Foundations of Data Analytics 
[Module from Master of Science in Big Data Technology]
A04 Computer Science and Information Technology
34Z126918 cef logo Data Mining and Knowledge Discovery
[Module from Master of Science in Big Data Technology]
34Z126928 cef logo Big Data Computing
[Module from Master of Science in Big Data Technology]
34Z126938 cef logo Mathematical Methods for Data Analysis
[Module from Master of Science in Big Data Technology]

Please note the followings:

  1. “This course has been included in the list of reimbursable courses under Continuing Education Fund”
  2. “The mother course (Master of Science in Big Data Technology) of this module is recognised under the Qualifications Framework (QF Level [6])”