Students majoring the DSPS Programme are required to complete a minimum of 72 units of courses as follows*:

1.
Required Courses
DSPS1002
Data Science and Public Policy
3
DSPS1003
Foundation of Data Science
3
DSPS2101
Research Methods for Policy Studies
3
DSPS2102
Statistical Analysis for Policy Decision
3
DSPS2201
Data Analytics for Public Policy I
3
DSPS2301
Policy Analysis and Design Thinking
3
DSPS2501
Managing Technology and Policy Innovation
3
DSPS3202
Data Analytics for Public Policy II
3
DSPS3501
Policy Leadership and Entrepreneurship Workshop
3
DSPS3801
Internship
3
DSPS4801
Graduation Capstone Project I
3
DSPS4802
Graduation Capstone Project II
3
Students are required to study overseas for one academic term in a partner institution and complete at least 9 units of courses related to Data Science and Policy Studies approved by the Programme Director. Students who are unable to obtain the required units from partner institutions must make up the shortfall by completing appropriate courses at CUHK, subject to the approval of the Programme Director.
2.
Elective Courses
DSPS3310
Collaborative Governance in a Global Context
3
DSPS3320
Data Science and Regulation
3
DSPS3802
Selected Topics in Data Science and Policy Studies I
3
DSPS3803
Selected Topics in Data Science and Policy Studies II
3
DSPS4203
Advanced Applications of Data Science in Public Policy
3
DSPS4310
Seminar of Policy and ICT Studies
3
DSPS4803
Selected Topics in Data Science and Policy Studies III
3
DSPS4804
Selected Topics in Data Science and Policy Studies IV
3
ECON4130#
Economic Analysis for Social Networks
3
SOCI3236#
Migration, Entrepreneurship and Policy Reflection on Global Citizenship
3
SOWK2204#
Social Innovation and Social Change for Good
3
(i) Disciplinary Courses:
Any courses at 3000 or above level with specific subject area codes listed in explanatory note [b].
(ii) Technology and Statistics Courses:
CSCI2100#
Data Structures
3
CSCI2520#
Data Structures and Applications
3
CSCI3170#
Introduction to Database Systems
3
CSCI3230#
Fundamentals of Artificial Intelligence
3
CSCI3320#
Fundamentals of Machine Learning
3
CSCI4180#
Introduction to Cloud Computing and Storage
3
ENGG2430#
Probability and Statistics for Engineers
3
IERG3320#
Social Media and Human Information Interaction
3
IERG4230#
Introduction to Internet of Things
3
IERG4330#
Programming Big Data Systems
3
SEEM2460#
Introduction to Data Science
3
SEEM4630#
E-Commerce Data Mining
3
SEEM4680#
Technology, Consulting and Analytics in Practice
3
SEEM4720#
Computational Finance
3
STAT2001#
Basic Concepts in Statistics and Probability I
3
STAT2005#
Programming Languages for Statistics
3
STAT2006#
Basic Concepts in Statistics and Probability II
3
STAT2102#
Basic Statistical Concepts and Methods II
3
STAT3003#
Survey Methods
3
STAT3006#
Statistical Computing
3
STAT3008#
Applied Regression Analysis
3
STAT4001#
Data Mining and Statistical Learning
3
DSPS1001
Introduction to Policy Sciences and any two courses, offered by Programmes/Departments/Schools, chosen from the following:
3
ARCH1001
Living Architecture
3
ARCH1002
Understanding Cities
3
COMM1110
Media and Everyday Life
3
COMM1120
Development of Mass Communication
3
ECON1210
Economics and Society
3
ECON1220
Contemporary Economic Thinking
3
ECON2011
Basic Microeconomics
3
GLSD1001
Introduction to Global Studies
3
GPAD1020
Fundamentals of Government
3
GPAD1076
Thinking Politically
3
GPAD1077
Critical Debates in Hong Kong
3
GRMD1302
People, Space and Place
3
GRMD1401
A World of Diversity
3
GRMD1402
Global Change and Environmental Sustainability
3
PSYC1000
General Psychology
3
PSYC1630
Communication for Healthy Relationship
3
SOCI1001
Introduction to Sociology
3
SOCI1201
Hong Kong Society
3
SOWK1001
Introduction to Social Work and Social Welfare
3
SOWK1113
Self- development in Changing Society
3
SOWK1114
Self-development in Changing Society
3
URSP1001
Introduction to Urban Studies
3
URSP1002
Urban Studies in a Nutshell
3

Explanatory Notes:
1. DSPS courses at 2000 and above level, courses at 3000 and above level with specific subject area codes listed in [b] below as well as those labeled as # will be included in the calculation of Major GPA for honours classification.
2. Students are responsible for the extra costs incurred in relation to the overseas resident study.
[a] Students are encouraged to build a specialty by taking all three courses from either the Disciplinary Courses or Technology and Statistics Courses. Students are recommended to consult Academic Advisor on their study plan.
[b] Subject Area Codes: ARCH, COMM, ECON, GDRS, GLSD, GPAD, GRMD, PSYC, SOCI, SOWK, URSP

* For details of study schemes (by year of admissions) and course descriptions, please refer to this link

Students minoring the DSPS Programme are required to complete a minimum of 18 units of courses as follows*:

DSPS1001
Introduction to Policy Sciences and any two courses, offered by Programmes/Departments/Schools, chosen from the following:
3
DSPS1002
Data Science and Public Policy
DSPS1003
Foundation of Data Science
12 units from the following, including a minimum of 6 units of courses at 3000 or above level:
DSPS2201
Data Analytics for Public Policy I
3
DSPS2301
Policy Analysis and Design Thinking
3
DSPS2501
Managing Technology and Policy Innovation
3
DSPS3202
Data Analytics for Public Policy II
3
DSPS3310
Collaborative Governance in a Global Context
3
DSPS3320
Data Science and Regulation
3
DSPS3501
Policy Leadership and Entrepreneurship Workshop
3
DSPS3802
Selected Topics in Data Science and Policy Studies I
3
DSPS3803
Selected Topics in Data Science and Policy Studies II
3
DSPS4203
Advanced Applications of Data Science in Public Policy
3
DSPS4310
Seminar of Policy and ICT Studies
3
DSPS4803
Selected Topics in Data Science and Policy Studies III
3
DSPS4804
Selected Topics in Data Science and Policy Studies IV
3

* For details of study schemes (by year of admissions) and course descriptions, please refer to this link