Capstone Project
Capstone projects, which are credit-bearing and integral to the programme requirements for masters students at HKU Business School, represent a flagship initiative that bridges our students with leading organisations. These collaborations empower students and partners to co-create practical solutions for real-world business challenges. Through this partnership model, high-quality projects are sourced from diverse stakeholders, ensuring both relevance and impact.
Each capstone project team is composed of eight masters students, carefully matched to the project through a structured bidding process that considers students’ interests and programme backgrounds. Every project is led by an academic advisor, ensuring strong guidance and quality control throughout the experience. Each project team works intensively on practical problem-solving, delivering actionable insights and innovative solutions for project partners. The process is streamlined via an online portal for project proposals, matching, and feedback, while a robust quality control system ensures high standards and meaningful outcomes. This structure ensures that students have ample time for in-depth problem-solving, stakeholder engagement and the development of impactful solutions.
Note: This project-based capstone course does not apply to the Master of Family Wealth Management Programme.
The workflow of Capstone Project
Project introduction by Project Partner
Student registration and project bidding
Status meetings with Faculty Advisor and Project Partner
Student presentation and Project Partner’s feedback
Report submitted by students
Grading and feedback by Faculty Advisor
Past Project Partners
Our past Project Partners have collaborated with us to develop innovative solutions and advanced their strategy.
Sample Project Topics
Accounting
Cost Reduction Opportunities and Logistic Management through Process Optimization
Dashboards for Real-Time Financial Performance Monitoring
Accounting Analytics
Forecast Cash Flows and Improve Liquidity Management through Analytical Techniques
Using Analytics to Identify Revenue Opportunities and Drive Business Growth
Artificial Intelligence in Business
Designing Automated AI Agents for Business Process Optimization and Workflow Automation
Designing and Evaluating Chatbots for Customer Services
Remark: Capstone projects for the Master of Artificial Intelligence in Business Programme shall be launched in September 2026.
Business Analytics
Data-Driven Prediction of Electric Vehicle Battery Health Attenuation
Predicting User Behaviors on Online B2B Platforms
Economics
Optimising Recruitment Efficiency: Applying Labor Matching Models to Enhance Job Candidate Screening
Uncovering Industrial Clusters and Policy Preferences: A Textual Analysis of Policy Documents and Municipal Data
Finance
Comprehensive Financial Modeling and Risk Evaluation of a Target Asset
Identification and Assessment of Opportunities and Risks in Emerging Financial Market Trends
Finance in Financial Technology
Backtesting Trading Strategies
Stress Testing a Generative AI Chatbot for Reliability in Financial Applications
Global Management
Promotion and Implementation of Self Leadership
Effectiveness of Teams on Creativity and Innovation
Marketing
Exploring Consumer Willingness to Pay: A Price Sensitivity Analysis Across Segments
Cross Channel Marketing: Integrating Online and Offline Strategies for Maximum Impact
Sustainable Accounting and Finance
Corporate Transition Plan Towards Net Zero Consistent with the Paris Agreement
Design a System for Corporate ESG Performance Evaluation, Including ESG Rating
Wealth Management
Intergenerational Wealth Transfer: A Global Study of Family Office Models from Asia Pacific to Middle East and Western Centers
Digital Transformation in Global Wealth Management: Comparative Analysis of AI and Fintech Adoption Across Regions

23rd Feb,2026 Monday
12:00 noon (GMT +8)