Overview
This Big Data Technology MSc programme offered by the 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).
Key facts
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.
Career opportunities:
Upon completion of this program, graduates could take up roles such as Data Analyst, Data Engineer, Database Administrator, Data Scientist, Machine Learning Engineer, Statistician, and Business Analyst, etc applying top big data applications in industries such as e-commerce, education, finance, healthcare, media and entertainment, retail, travel, telecom and many more.
Majority of students had been landing jobs in various well-known financial or technology companies in home country while some would stay in Hong Kong cultivating different cultural experiences. Meanwhile, some students have continued to pursue PhD studies at HKUST or other universities.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Data Mining and Knowledge Discovery
- Big Data Computing
- Quantitative Analysis of Financial Time Series
- Optimization and Matrix Computation
- Image Processing and Analysis
- Machine Learning
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Disciplines
Data Science & Big Data View 11 other Masters in Data Science & Big Data in Hong Kong (SAR)Explore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at The Hong Kong University of Science and Technology and/or in Hong Kong (SAR), please visit Student Insurance Portal.
Other requirements
General requirements
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
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
242000 HKD/yearTuition FeeBased on the tuition of 242000 HKD per year during 12 months. -
National
242000 HKD/yearTuition FeeBased on the tuition of 242000 HKD per year during 12 months.
- Part-time study is HK$209,000 (paid in 4 installments) 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.
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Big Data Technology.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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