Students
Tuition Fee
HKD 339,840
Per course
Start Date
Not Available
Medium of studying
On campus
Duration
1.5 years
Details
Program Details
Degree
Masters
Major
Data Analysis | Data Science | Statistics
Area of study
Information and Communication Technologies | Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
HKD 339,840
About Program

Program Overview


Master of Data Science (MDASC) | HKU School of Computing and Data Science

The Master of Data Science (MDASC) programme at the University of Hong Kong is designed to equip students with the skills and knowledge required to navigate the dynamic landscape of big data. The programme's interdisciplinarity promotes the applications of computer technology, operational research, statistical modelling, and simulation for problem-solving and decision-making in organisations and enterprises within the private and public sectors.


Programme Overview

In the era of big data, a colossal amount of data is being generated every day from channels including social media, consumer profiles, and the global economy. This complexity of data requires not only description and understanding but also the revelation of crucial information to facilitate the best course of action. While traditional data processing application software is incapacitated, the emergence of the HKU Master of Data Science opens up a new frontier of high-performance analytics in this era of big data.


Key Facts

  • Entrance Year: 2026
  • Mode of study and Normal Duration:
    • Full-time (1.5 year)
    • Part-time (2.5 years)
  • Credits Required for Graduation: 72
  • Tuition Fee:
    • $324,000 for Local students
    • $339,840 for Non-local students
  • Application Deadline:
    • Main Round: 1 December, 2025
    • Clearing Round: 31 March, 2026

Programme Highlights

The programme covers a range of areas, including:


  • Computer Science / IT
  • Statistics
  • Domain/Business Knowledge
  • Machine Learning
  • Software Development
  • Research

Graduates' Career Prospects

Graduates of the programme have gone on to pursue careers in various fields, including:


  • AI Engineer
  • Algorithm Engineer
  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Senior Data Science & AI Research Assistant
  • Senior Technical Analyst
  • Software Engineer (Machine Learning)

What Our Alumni Say

Alumni of the programme have praised its ability to:


  • Develop the precise skill set required for navigating the dynamic landscape
  • Provide an interdisciplinary approach to analysing data
  • Explore potential and adapt well in the workplace

Latest News

The programme is committed to staying at the forefront of developments in data science, with recent news and updates available for those interested in exploring the latest advancements and achievements in the field.


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