MSc Big Data Technology
MSc Big Data Technology
Overview
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).

Program Details 

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.

Program Fee

The nominal program fee for 2020 Fall intake full-time study is HK$210,000 (paid in 2 instalments) and part-time study is HK$150,000 (paid in 4 installments) respectively.  

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.

Faculty

This program is a gateway for students to learn from our professors with diverse knowledge and research experience in the field gained from the top engineering institutions from around the world. 

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 Office of Postgraduate Studies. 

Application Deadline Round 1 Round 2
Full-Time & Part-Time Applications for Fall 2020 Intake 1 January 2020 1 March 2020
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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)
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