30th Jan,2023 Monday
12:00 noon 
Curriculum Structure
Curriculum Structure
We recruit students from diverse backgrounds each year to enrich the learning experience at our programme. To make sure everyone has a similar foundation to tackle the studies ahead, the Boot Camp covers basic knowledge in mathematical techniques, programming, databases and statistics that are related to business analytics. The Boot Camp is a mandatory course for all MSc(BA) students. It consists 30 hours of teaching and will be held prior to the commencement of the 1st module:
3 hours
9 hours
12 hours
6 hours
Those without a pure quantitative background can build up essential competencies through the Boot Camp whilst others can take the opportunity to refresh their relevant skills.
Our programme delivers a rigorous learning experience across a wide spectrum of fields, including big data techniques, business statistics, simulation and forecasting models, operations and supply chain management, and financial and marketing analytics. The curriculum is structured as follows:
- Information analytics to understand the basis of data
- General analytics to transform data into information
- Operations analytics to convert information into executable actions
- Capstone Course to tie the above three areas together through real world business projects
You will gain an in-depth knowledge of tools such as R and Python for applying data science and analytics to a business context.
Students are required to complete a total of 10 courses including:
Core Courses
Elective Courses
Capstone Course
Total Courses
Boot Camp
- Database - 3 hours
- Mathematics - 9 hours
- Programming - 12 hours
- Statistics - 6 hours
4 Core Courses
- Business Intelligence and Analytics
- Business Statistics
- Operations Analytics
- Quantitative Analysis Methods
5 Elective Courses - Minimum 3
- Accounting Analytics for Managerial Decisions
- Analysis of High-Dimensional Data
- Big Data Analytics on the Cloud
- Blockchain Cybersecurity Risk Analytics
- Business Simulation
- Database Design and Management
- Deep Learning
- Digital Experimentation Methods
- Digital Innovation
- Entrepreneurial Opportunities in Financial Technology
- Financial Engineering
- Forecasting and Predictive Analytics
- Geospatial and Business Analytics
- Machine Learning
- Marketing Analytics
- Prescriptive Analytics
- Quantitative Trading
- Service Operations Management
- Social Media and Digital Marketing Analytics
- Storytelling with Data
- Supply Chain and Logistics Management
- Other Masters Programmes Elective Courses**
- Master of Accounting
- Master of Economics
- Master of Finance
- Master of Finance in Financial Technology
- Master of Global Management
- Master of Science in Marketing
1 Capstone Course
- Business Analytics Capstone
Remarks: Not all of the courses listed above will necessarily be offered each year and the above list is subject to further adjustments.
** Up to two elective courses may be taken from other taught postgraduate programmes offered by HKU Business School. Subject to availability and review by the Programme Director based on your profile, capabilities, and performance in the Master of Science in Business Analytics Programme.