BSSc in Data Science and Policy Studies (DSPS)
Programme Overview
The BSSc in Data Science and Policy Studies (DSPS) programme focuses on linking the fields of data science and policy science to equip students with the essential knowledge, skills and capacity to design innovative, big data-driven, and evidence-based policy solutions for complex problems in society. The programme offers a comprehensive, balanced curriculum on fundamental aspects of data, statistical and machine learning knowledge, policy design and analytical techniques, as well as hands-on experience with data science software and visualisation tools.
Your Journey to Transformative Learning Experiences
Prepare You for the Future, Enable You to Drive the Future
DSPS (BSSc in Data Science and Policy Studies) focuses on linking up the two interdisciplinary and transdisciplinary fields of data science and policy science to equip students with essential knowledge, skills and capacities to design innovative, big data-driven, and evidence-based policy solutions to complex problems in society. It is an outstanding and transformative programme for students who have a strong interest in BOTH data science and public policy.
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
|
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 |
Overseas Exchange Experience
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.
Internships
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.
Knowledge and Capacities Acquired
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:
- Understand policy issues with insights and intelligence by integrating theory and practice
- Design data-driven and evidence-based solutions to address policy problems
- Apply statistical and computational methods to analyze data to provide actionable insights
- Present and visualize results in a clear and professional manner to enhance policy decisions
Career Prospects
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:
- Government
- Think tanks
- Consulting firms
- Non-government organizations
- Startups
- Multinational corporations
- Science and technology companies
- Nonprofit advocacy organizations