12 months
Duration
26763 USD/year
26763 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

This Big Data Technology programme offered by the Hong Kong University of Science and Technology is jointly offered by the Department of Computer Science and Engineering and the Department of Mathematics. 

Visit the official programme website for more information

Overview

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).

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. 

Programme 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 

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

Language

English
IELTS admission requirements IELTS
6.5
TOEFL admission requirements TOEFL® IBT
80

Credits

30 alternative credits

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

IELTS admission requirements IELTS
6.5
TOEFL admission requirements TOEFL® IBT
80

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 now

Start 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 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

Tuition Fee

To alway see correct tuition fees
  • International

    26763 USD/year
    Tuition Fee
    Based on the tuition of 26763 USD for the full programme during 12 months.
  • National

    26763 USD/year
    Tuition Fee
    Based 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

13720 - 23419 HKD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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.

Our partners

Big Data Technology
-
Hong Kong University of Science and Technology

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