Master of Science in Data Analytics and Business Economics

Programme Director: Dr WAN, Shui Ki 

The programme provides solid training in business economic analysis and data analytics.  By taking various applied electives, in addition to the core foundation courses, students will be trained to analyse business economic issues using relevant data.  A distinct feature of this programme is a balanced training in business economic knowledge, statistical models and programming skills.  Specifically, this programme aims at training competent analytics-enabled professionals and proficient data strategists.

 The structure of the curriculum is as follows:

I) Required Courses 18 units
II) Elective Courses 12 units
    30 units

Requirements

I. Required Courses 18 units
  ECON7870 Managerial Economics and Business Strategy 3 units
  ECON7880 Foundations in Big Data Analytics: Concepts and Techniques 3 units
  ECON7890 Foundations in Big Data Analytics: Programming  3 units
  ECON7900 Statistics for Data Science 3 units
  ECON7910 Data Visualization with Story-telling 3 units
  ECON7920 Executive Workshop Series 3 units
     
II. Elective Courses 12 units
  Four of the following courses: 
  ECON7035 Artificial Intelligence for Business   3 units
  ECON7045 Law and Economics of Data Protection 3 units
  ECON7055 Projects for Data Analytics 3 units
  ECON7430 Applied Cost-Benefit Analysis 3 units
  ECON7850 Economics of Digital Markets 3 units
  ECON7930 Analytics for Spatial, Textual and Social Network Data  3 units
  ECON7940 Data-driven Decision Making 3 units
  ECON7950 Business and Economic Forecasting with Big Data 3 units
  ECON7960 User Experience and A/B Testing 3 units
  ECON7970 Applied Predictive Modeling 3 units
  ECON7980 Innovation and Entrepreneurial Economy: China and Global Development 3 units
  ECON7990 Economics of Smart Cities 3 units
    30 units
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