Programme Introduction
Think Data. Shape Policy. – Empowering Data-Driven Policy Leaders
The Bachelor of Social Science in Data Science and Policy Studies (DSPS) at CUHK is an interdisciplinary programme that integrates data science with public policy analysis. It is designed to equip students with the skills and vision to design innovative, evidence-based solutions for complex social challenges, using the power of data, technology, and critical thinking.
The programme is ideal for students who:
- Aspire to apply data science in addressing real-world issues such as inequality, sustainability, healthcare, and urban development
- Wish to develop strong technical capabilities in Python programming, machine learning, social network analysis, and emerging tools such as AI and immersive media
- Value academic flexibility and are keen to shape their own area of specialisation (e.g. Social Data and Policy, Technology Governance, Urban Innovation, or Environmental Policy Analytics)
Programme Highlights
- Integrated training in data management, statistics, machine learning, policy design, and analytical methodologies, with a strong emphasis on integrations and applications
- Critical exploration of the governance, ethical implications, and real-world applications of emerging technologies including AI, big data, and AR/VR
- Flexible curriculum structure offering a broad selection of electives across data science and policy applications, allowing students to build a personalised academic pathway and specialisation
- Experiential learning opportunities, including internships with public and private organisations, a hands-on capstone project, and overseas exchanges to broaden global perspectives
Career Prospects
Graduates are prepared for impactful careers in but not limited to:
- Government departments and public policy think tanks
- Non-governmental and international organisations
- Consulting and technology firms
- Academic and research institutions
If you are interested in this programme, please review the application requirements and deadlines specific to the respective admission scheme to increase your chances of getting accepted.
