Full time & Part time September MSc 1 year full-time; 2 years part-time

About the course

Big data is poised to change the way enterprises function and a society operates, and is changing the way science and engineering is conducted. The MSc program in Big Data Technology jointly offered by the Departments of Computer Science and Engineering and Mathematics integrates different disciplines together to allow students to know all the important aspects of the big data and how it is used in the real world.

Program Objectives

The program is aimed at educating students about big data and issues related to big data. The students are expected to be familiar with the workflow of big data systems and social and societal implications of big data systems.

The program helps to integrate different disciplines together and students in this program will learn the major components of big data:

  • big
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Entry 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.

Please visit the website for further information.

 Course Content

Where is Hong Kong University of Science and Technology

Student Profile(s)

Gu Jiani

BDT program at HKUST provides me an insight into the field of big data. Teaching and supervision here are topnotch. Courses in this program are well designed, which cover not only professional knowledge but also frontier research in mathematics, artificial intelligence, finance and computer science. To complete projects in each course, we need to spend a lot of time and energy in researching, coding and presenting. This gives me an opportunity to work on the content I am interested in and to contribute creative ideas. Although courses here are a bit hard and make me overwhelmed, the improvements I obtained during the program are huge and now I am well prepared for a data scientist career. Besides, I also accept meticulous instruction from the supervisor for my independent project that gives me real hands-on experience so that I can develop relevant job skills. It is a fulfilling experience in my life where I learned from the first-class professors in the field and worked with excellent classmates from all over the world.

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