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MSc Big Data Technology
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MSc Big Data Technology
Title
Overview
Description
This unique program is jointly offered by the Department of Computer Science and Engineering and the Department of Mathematics. The program 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).
Content

Curriculum

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. For details, please refer to the Postgraduate Program Catalog and Course Catalog.

 

Distinct Features of the Program

  • First of its kind in Hong Kong and has been a leader among many similar programs in the region
  • Well balance between the foundations of the subjects and popular topics with state-of-the-art knowledge
  • Hands-on independent project with industry partners engaging students with practical applications for future career or PhD study

 

Admission and English Proficiency Requirements

Applicants must possess a bachelor's degree in Computer Engineering, Computer Science, Mathematics or a related field from a recognized university or tertiary institution. Applicants with a bachelor's degree in other disciplines must have relevant working experience in IT and Mathematics related fields. For English Proficiency Requirements, please refer to HKUST Fok Ying Tung Graduate School.

 

Program Fee

The nominal program fee of Fall 2022/23 intake for full-time study is HK$210,000 (paid in 2 instalments) and part-time study is HK$180,000 (paid in 4 installments) respectively.  

 

Continuing Education Fund (CEF) 

With effect from Fall 2020 intake, the following 4 core courses have been included in the list of reimbursable courses under the Continuing Education Fund. This program (MSc in Big Data Technology) of these modules is recognized under the Qualifications Framework (QF Level [6]).  After 1 April 2019, successful applicants who are HK citizens and are eligible for CEF may be reimbursed with a maximum sum of HK$20,000 upon successful completion of either one of the following four core courses with an overall attendance rate over 70%. For details and updates of eligibility, application, and reimbursement procedures (in particular the reimbursement period from the date of application), please check the CEF Office  or 3142-2277 (24-hour enquiry hotline). 
 
Attention: Effective from 1 April 2019, there will be a series of enhancement measures related to CEF applied to all new, currently valid and closed accounts.

Name of Institution 

The Hong Kong University of Science and Technology (HKUST) 

CEF Institution Code 

003 

Institution 

HKUST 

CEF Course Code 

34Z126908

34Z126918 34Z126928

34Z126938

CEF Course Title 

Foundations of Data Analytics [Module from Master of Science in Big Data Technology]

Data Mining and Knowledge Discovery [Module from Master of Science in Big Data Technology] Big Data Computing [Module from Master of Science in Big Data Technology] Mathematical Methods for Data Analysis [Module from Master of Science in Big Data Technology]

Sector 

A04 Computer Science and Information Technology

 

Application

All applications are considered on a competitive and rolling basis. Early online application is strongly recommended. For admission details and procedures, please refer to HKUST Fok Ying Tung Graduate School

For 2022/23 Fall intake (September 2022) 

Application Deadline Round 1 Round 2
Local Applicants 1 December 2021 1 March 2022
Non-local Applicants 1 December 2021 1 March 2022

 

Career Prospect

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 adn 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.


Prospective students can visit program LinkedIn Page and program video for further information.

Title
QS World University Rankings by Subject 2021: Computer Science & Information Systems
Description
#1 in Hong Kong for 10 times in 11 years
Submodule
Title
Know more about
Description
The opportunities, information and resources in place to help you make the most of your studies
Student Sharing
The university life is not only lessons and assignments here, but also the activities which offer you an opportunity to meet smart people who may inspire you a lot.
Seoyoung PARK
(Korea)
What I find special about the program is the option to take an independent project. This means that if you have a cool project idea you want to work on, you can do so by seeking guidance from some of the professors and gaining practical research experience.
Terence LEUNG
(Canada)
I strongly recommend Big Data Technology to anyone who is interested in computer science and artificial intelligence in general. The knowledge and experience is relevant for industrial needs, and can become a starting point for a research career as well.
Daniil CHEPENKO
(Russia)
Having been working on all the projects, I obtained hands-on experience on real-world data science problems and learnt to communicate my ideas as a data scientist.
GAO Xun
(Mainland China)
The courses offered by the world-class professors are well designed, which address both the theoretical and practical perspectives of topics related to big data technologies.
LAU Tsz-Kit
(Hong Kong)