Programme Overview
Source: https://dsps.ssc.cuhk.edu.hk/why-dsps/programme-overview/ Parent: https://dsps.ssc.cuhk.edu.hk/
Innovative Curriculum
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 - Policy Science and Public Governance - Global Relationship - Human Resources - Social Problems, Deviance, Law and Order - Sustainable Smart Cities | 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 |