This Big Data Technology programme offered by Hong Kong University of Science and Technology integrates a variety of disciplines to allow students to learn all the important facets of big data and how it is used in the real world.
Students will learn the major components of big data, including infrastructure, data integration, storage, modeling and management, computing systems, analytic and mining systems, security, policy and social implications, as well as human factors and big data applications in various fields (data science).
Students are required to complete a total of 30 credits of coursework, including 12 credits of core courses and 18 credits of elective courses. Subject to approval, students may take a maximum of 6 credits of courses from the Master of Science in Information Technology.
All the courses are normally held on weekday evenings as well as Saturday mornings or afternoons at HKUST campus.
- Data Mining and Knowledge Discovery
- Big Data Computing
- Quantitative Analysis of Financial Time Series
- Optimization and Matrix Computation
- Image Processing and Analysis
- Machine Learning
- 12 months
- 24 months
Start dates & application deadlines
- Apply before
DisciplinesComputer Sciences Data Science & Big Data Machine Learning View 18 other Masters in Computer Sciences in Hong Kong (SAR)
We are not aware of any academic requirements for this programme.
A bachelor's degree in Computer Engineering, Computer Science, Mathematics or a related area, or
(i) A bachelor’s degree in other disciplines and (ii) relevant work experience in IT and Mathematics related fields
International26763 USD/yearTuition FeeBased on the tuition of 26763 USD for the full programme during 12 months.
National26763 USD/yearTuition FeeBased on the tuition of 26763 USD for the full programme during 12 months.
- The nominal program fee for Fall intake for full-time study is HK$210,000 and part-time study is HK$180,000 respectively.
Living costs for Hong Kong
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.