The first undergraduate programme in Hong Kong and one of the few in the world to integrate data science with policy studies. DSPS Programme offers a comprehensive and balanced curriculum on fundamental aspects of data, statistical and machine learning knowledge, policy design and analytics techniques, as well as hands-on experience with data science software and visualization tools. The final-year capstone project offers students the opportunity to integrate and apply what they have learned in the Programme to address real-world policy issues.
To further enhance interdisciplinarity of the Programme, a new DSPS curriculum is to be launched in 2023-24.
2023-24 Entry (New Curriculum) | Units |
Foundation Courses | 9 |
Resident Study Overseas | 9 |
Internship | 3 |
Capstone Courses | 6 |
| Category I Elective Courses: Methods and Tools | 21 |
Category II Elective Courses: Policy Applications - 5 Specialization Areas
| 18 |
Faculty Package | 9 |
Total | 72 |
*Students can design their own specialization based on their selection of Category I courses, Category II courses, Capstone Project and Internship Experiences.
2022-23 Entry & Before | Units |
Major Required Courses (e.g. Foundation of Data Science, Data Science and Public Policy) | 27 |
Resident Study Overseas | 9 |
Internship | 3 |
Capstone Courses | 6 |
Major Elective Courses (e.g. Social Science Disciplinary Courses OR Selected Technology Courses offered by Faculty of Science and Faculty of Engineering) | 18 |
Faculty Package | 9 |
Total | 72 |
In this increasingly interconnected world, the DSPS Programme is both the destination and take-off runway of students. We have lined up with some top institutions in Europe and Australasia for students to explore and broaden their horizons. Our partners are Technical University of Munich (TUM), a top Germany university in the heart of the European continent and University of Auckland, the best university in New Zealand.
Besides textbook knowledge, we equally value hands-on experience, if not more. The DSPS Programme offers internship opportunities in the public, private, or non-profit sectors.
Upon graduation, DSPS students will have solid knowledge of policy theories, state-of-art data science techniques, and leadership skills to formulate data-driven policy and evaluate policy outcomes. In particular, students will be able to:
DSPS students graduate with the expertise to be data-driven decision-makers, policy leaders, project managers, and research analysts in both public and private organizations, including but not limited to: