Master of Science in Big Data Technology
MSc(BDT)
Both full- and part-time
Full-time : 1 year
Part-time : 2 years
Full-time: HK$242,000
Part-time: HK$209,000
New students admitted with credit transfer are also required to pay the full program fee. Students who take additional courses or need to retake any courses are required to pay additional fee.
Program Director:
Prof Ke YI, Professor of Computer Science and Engineering
Big data is poised to change the way enterprises function and a society operates, and is changing the way engineering and science is conducted. The Master of Science (MSc) Program in Big Data Technology aims to educate students about big data and issues related to big data. Students are expected to be familiar with the workflow of big data systems and social and societal implications of big data systems. Jointly offered by the Department of Computer Science and Engineering and the Department of Mathematics, the program integrates different disciplines to allow students to know all the important aspects of big data and how it is used in the real world.
On successful completion of the program, graduates will be able to:
- Identify, explain, and use Big Data infrastructure;
- Solve Big Data integration and storage problems;
- Perform various data analytic tasks using Big Data management and computing techniques;
- Derive knowledge and strategies from Big Data analytics and apply them to privacy protection and policy making; and
- Investigate existing problems on Big Data and conduct original Big Data research.
-
Minimum Credit Requirement
30 credits
-
Credit Transfer
Subject to the approval of the Program Director and the University regulations governing credit transfer, a maximum of 9 credits can be transferred to the program. Holders of the MicroMasters Program in Big Data Technology certificate from HKUST and edX may be granted credit transfer of 9 credits.
-
Core Courses
12 credits
Subject to the approval of the Program Director, holders of the MicroMasters Program in Big Data Technology certificate may be exempted from the above core courses and substitute with 3 credits of MSBD 5014 to fulfill the core course requirement.
-
Elective Courses
18 credits
-
Remarks
-
Subject to the approval of the Program Director, students may take a maximum of 6 credits of CSIT courses from the MSc Program in Information Technology as partial fulfillment of the graduation requirements of the program.
-
Part-time students may take a maximum of 9 credits in each term.
-
Students failing to meet the graduation grade average (GGA) requirement of 2.850 or above are required to repeat or take additional course(s) even if they attain passing grades for all courses.
Last update: 30 May 2024
To qualify for admission, applicants must meet all of the following requirements. Admission is selective and meeting these minimum requirements does not guarantee admission.
-
Applicants seeking admission to a master's degree program should have obtained a bachelor’s degree from a recognized institution, or an approved equivalent qualification.
Applicants have to fulfill English Language requirements with one of the following proficiency attainments:
-
TOEFL-iBT: 80 *
-
TOEFL-pBT: 550
-
TOEFL-Revised paper-delivered test: 60 (total scores for Reading, Listening and Writing sections)
-
IELTS (Academic Module): Overall score: 6.5 and All sub-score: 5.5 *
* Refers to scores in one single attempt only. Test at home option is not accepted.
Applicants are not required to present TOEFL or IELTS score if
-
their first language is English, or
-
they obtained the bachelor's degree (or equivalent) from an institution where the medium of instruction was English.
-
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
Applicants who are holders of the MicroMasters Program in Big Data Technology certificate from HKUST and edX may apply for:
-
credit transfer of 9 credits;
-
exemption of 4 core courses and substitution with 3 credits of Independent Project;
-
tuition fee reduction with reference to fee of the MicroMasters Program in Big Data Technology.
Integrated Bachelor-Master Pathway
- Only for HKUST students in Year 3 or above who are studying a bachelor's degree in Artificial Intelligence (AI), Computer Engineering (CPEG), Computer Science (COMP/COSC), Data Science and Technology (DSCT), Information Systems, Business Statistics and Operations Management (RMBI), Mathematics (MATH), and Mathematics and Economics (MAEC). Admission depending on academic excellence.
- Successful applicants will receive a conditional offer for admission to MSc(BDT) and need to pay a deposit at the prevailing deposit rate.
- They will be allowed to start taking MSc(BDT) courses in their final year of undergraduate study, and will enter the MSc(BDT) Program upon successful completion of the undergraduate degree.
- Upon entering MSc(BDT), they can transfer up to 6 credits taken during the undergraduate study to fulfill the MSc(BDT) program requirements. They will pay tuition fee for the remaining credits on a pro-rata basis, with a minimum payment for 24 credits.
