Master of Science in Business and Data Analytics
Programme
Master of Science in Business and Data Analytics
理學碩士(商業及數據分析)
Award Title
Master of Science in Business and Data Analytics
理學碩士(商業及數據分析)
Offering Academic Unit
This Programme is jointly offered by:
Department of Management Sciences
Department of Information Systems
Mode of Study
Combined mode

Normal Period of Study

Full-time: 1 year
Part-time/Combined mode: 2 years

Maximum Period of Study

Full-time: 2.5 years
Part-time/Combined mode: 5 years

Credit Units Required for Graduation

30

Programme Aims

This programme aims to cultivate students with professional knowledge of business data analytics through active learning of the theories, methods, supporting techniques across a wide range of knowledge areas such as applied statistics, big data management, data mining, and social media analytics.

Programme Intended Learning Outcomes (PILOs)

Upon successful completion of this Programme, students should be able to:

  1. Describe the theories, methods, and techniques for the management and analysis of complex data structures arising from typical business applications.
  2. Apply the data analytics theories, methods and techniques to design and build data-driven solutions to enhance business decision-making.
  3. Demonstrate an understanding of and competence in the key concepts and techniques in different areas of statistics.
  4. Apply acquired quantitative knowledge to solve business problems and to make decisions.
  5. Use appropriate statistical or analytics software to investigate and solve practical problems.

Programme Requirements



1. Core Courses: (18 credit units)
Course CodeCourse TitleCredit Units
IS5312Advanced Business Software Construction3
IS5413Database Management Systems3
IS5941Big Data & Social Media Analytics3
MS5217Statistical Data Analysis3
MS5218Applied Linear Statistical Models3
MS6711Data Mining3

2. Electives: (12 credit units)
Students are required to choose from one of the three streams listed below to fulfill the elective course requirements.

The General Stream
Students are required to choose any four postgraduate elective courses offered by any departments within the College of Business.

The Information Systems Management Stream
Students are required to complete four elective courses in which at least three courses must be selected from the following specialization list, and the remaining course(s) can be chosen among the postgraduate elective courses offered by any departments in the College of Business.
 
Course CodeCourse TitleCredit Units
IS5740Management Support and Business Intelligence Systems3
IS6200Blockchain Technology and Business Applications3
IS6400Business Data Analytics3
IS6321Business Intelligence Applications3

The Quantitative Analysis for Business Stream
Students are required to complete four elective courses in which at least three courses must be selected from the following specialization list, and the remaining course(s) can be chosen among the postgraduate elective courses offered by any departments in the College of Business.
 
Course CodeCourse TitleCredit Units
MS5216Decision Analytics3
MS6219Predictive Modeling and Forecasting for Business3
MS6221Predictive Modeling in Marketing3
MS6601Statistical Modelling in Economics and Finance3