HKU HKU Dept of Statistics & Actuarial Science, HKU
   
 

Master of Data Science (MDASC)


 Courses

  • MDASC add/drop period:
    September 2 to 15, 2019 (for Semester 1 & Semester 2),
    January 20 to February 11, 2020 (Semester 2 & Summer Semester),
    June 6 to 11, 2020 (Summer Semester)
  • Timetable for 2019-20 (Updated on April 27, 2020)
  • DASC7600 Data Science Project (12 credits) (2019-20) (Updated on July 24, 2019)
 

 Fellowships Scheme

  • MDASC is sponsored by University Grants Committee (UGC) for Targeted Taught Postgraduate Programmes Fellowships Scheme. Local offer recipients who will be students of MDASC in the academic year 2020-21 are eligible, full-time or part-time alike, for applications (other terms and conditions apply). Successful Fellowships Scheme applicants will each receive an award of HK$120,000. [Details]
 

 Prizes

 

 Scholarships

  • Suoxinda Scholarship in Data Science awards two scholarships of HK$20,000 annually to students entering the Master of Data Science programme based on academic merit and admission interview performance. [Details]
 

 Continuing Education Fund (CEF)

  • COMP7503
Multimedia Technologies(42Z123846) [Effective from January 2020])
  • COMP7506
Smart Phone Apps Development(42Z123870) [Effective from January 2020])
  • COMP7507
Visualization and Visual Analytics(42Z12379A) [Effective from January 2020])
  • COMP7906
Introduction to Cyber Security(42Z123706) [Effective from January 2020])
  • STAT8017
Data Mining Techniques(21Z10169-2)
  • STAT8019
Marketing Analytics(21Z10170-6)
 

 Student Feedback Channels

The University strives to provide quality education and training to students, and feedback from students is valuable for the evaluation of the result of the endeavor. The Student Evaluation of Teaching and Learning (SETL), in particular, allows students to rate and comment on the courses they take near the end of the courses. To further enhance communication between teaching staff and students, the Department also supports the half-yearly Staff-Student Consultative Committee (SSCC) meetings, during which student course representatives and respective teaching staff exchange their views on certain aspects of the courses concerned. All feedback from students are collected anonymously.