Big Data Technology

This Big Data Technology MSc program offered by the Hong Kong University of Science and Technology 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).

Key facts

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.

Career opportunities:

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 andentertainment, 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.

Courses include:

• Data Mining and Knowledge Discovery

• Big Data Computing

• Quantitative Analysis of Financial Time Series

• Optimization and Matrix Computation

• Image Processing and Analysis

• Machine Learning