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:

1. Identify, explain, and use Big Data infrastructure;
2. Solve Big Data integration and storage problems;
3. Perform various data analytic tasks using Big Data management and computing techniques;
4. Derive knowledge and strategies from Big Data analytics and apply them to privacy protection and policy making; and
5. Investigate existing problems on Big Data and conduct original Big Data research.

1. Minimum Credit Requirement

   30 credits 
    

2. 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.
    

3. 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.

4. Elective Courses

   18 credits
    

5. 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.

To qualify for admission, applicants must meet all of the following requirements. Admission is selective and meeting these minimum requirements does not guarantee admission.