Banner_Image
Faculty of Science
Master of Data Science
MDASC | Full-time & Part-time
Add to Bookmark
Programme Highlights:
Expected Duration
Expected Duration
1.5 years
Fees
Fees
HK$324,000
Expected Programme Start Date
Expected Programme Start Date
September 2025
Application Deadline
Application Deadline
Round 1 (Main):
12:00 noon (GMT +8), November 18, 2024
Round 2 (Clearing):
12:00 noon (GMT +8), January 13, 2025
Description
Description
Full Time (one and a half years, including daytime, evenings and weekends)
Closed to Applications
Expected Duration
Expected Duration
2.5 years
Fees
Fees
HK$324,000
Expected Programme Start Date
Expected Programme Start Date
September 2025
Application Deadline
Application Deadline
Round 1 (Main):
12:00 noon (GMT +8), November 18, 2024
Round 2 (Clearing):
12:00 noon (GMT +8), January 13, 2025
Description
Description
Part Time (two and a half years, including evenings and weekends)
Closed to Applications

Overview

The curriculum structure of the Master of Data Science programme is comprised of a wide range of statistics and computer science courses, with two study modes: full-time mode with one and a half academic years and part-time mode with two and a half academic years. The curriculum is designed to provide graduates with training in the principles and practice of data science.

Candidates should have knowledge of calculus and algebra, computer programming and introductory statistics and should have taken at least one university or post-secondary certificate course in each of these three subjects or related areas.

Expected graduation period for normal course of studies

Full Time: Summer (July 2027)
Part Time: Summer (July 2028)

Entrance Requirements

1. A Bachelor's degree or an equivalent qualification; and

2. Applicants should have taken at least one university or post-secondary certificate course in each of the following three subjects (calculus and algebra, computer programming and introductory statistics) or related areas.

Download Documents

For additional information, we recommend reviewing the following documents:

Additional Information
PDFPDF Document
Regulations & Syllabuses
PDFPDF Document
Supporting Documents
PDFPDF Document