Students will be able to identify the challenges of digital economy and apply economic principles to think strategically about business decisions.
Students will be able to demonstrate ability in choosing appropriate algorithms and implementing programming languages for business analysis.
Students will be able to define business problem clearly and identify appropriate analytical tools to address the issues.
Students will be able to interpret the data outcomes and deliver the crucial findings and insights effectively through data visualization for business analysis.
Students will be able to formulate solutions to real-world problems with data analytics and/ or economic principles.
Students are required to take ten courses, of which Five are required courses and Five are elective courses.
The normal duration of the programme is one-year full time.
Medium of Instruction
The medium of instruction is English.
|Core Units||Elective Units||Semester Units|
|The first semester (total 5 courses)|
|5 cores (3 units/course)||15||15|
|The second semester (total 5 courses)|
|5 electives (3 units/course)||15||15|
|Total number of units||15||15||30|
- ECON7870 Managerial Economics and Business Strategy
- ECON7880 Foundations in Big Data Analytics: Concepts and Techniques
- ECON7890 Foundations in Big Data Analytics: Programming
- ECON7900 Statistics for Data Science
- ECON7920 Executive Workshop Series
- ECON7025 Business Economics Internship
- ECON7035 Artificial Intelligence for Business
- ECON7045 Law and Economics of Data Protection
- ECON7055 Projects for Data Analytics
- ECON7430 Applied Cost-Benefit Analysis
- ECON7850 Economics of Digital Markets
- ECON7910 Data Visualization with Story-telling
- ECON7930 Analytics for Spatial, Textual and Social Network Data
- ECON7940 Data-driven Decision Making
- ECON7950 Business and Economic Forecasting with Big Data
- ECON7960 User Experience and A/B Testing
- ECON7970 Applied Predictive Modeling
- ECON7980 Innovation and Entrepreneurial Economy: China and Global Development
- ECON7990 Economics of Smart Cities
* Subject to prior approval of the Programme Director and quota constraints, students are allowed to take at most two courses offered by other master programmes of the School of Business and of the Department of Computer Science as electives, provided that the selected courses will help the students achieve the LGs of this programme.