Data Science and Policy Studies — CUHK Minor Requirements (2026-27)
Applicable to students admitted in 2026-27.
Description
Students are required to complete a minimum of 18 units of courses, with at least 6 units at 3000 or above level, as follows:
1. Required Courses: 6 units
DSPS1001, 1003
Show 2 course(s) →
| Code | Title | T1 | T2 | T1 Teaching schedule | T2 Teaching schedule | Prerequisites | Also in minor |
|---|---|---|---|---|---|---|---|
| DSPS 1001 | Introduction to Policy Sciences | --LEC: We 2:30PM - 5:15PM | — | — | — | ||
| DSPS 1003 | Foundation of Data Science | A-LEC: Tu 2:30PM - 5:15PM | — | — | — |
2. Elective Courses: 12 units
12 units from the following, including a minimum of 6 units of courses at 3000 or above level: DSPS1004, 2102, 2103, 2104, 2201, 2202, 2301, 2320, 2501, 2520, 2730, 2830, 3190, 3202, 3310, 3320, 3330, 3340, 3350, 3501, 3790, 3791, 3802, 3803, 4203, 4310, 4803, 4804
Show 28 course(s) →
| Code | Title | T1 | T2 | T1 Teaching schedule | T2 Teaching schedule | Prerequisites | Also in minor |
|---|---|---|---|---|---|---|---|
| DSPS 1004 | Statistics for Data Science and Policy Studies | — | --LEC: Mo 2:30PM - 5:15PM | — | — | ||
| DSPS 2102 | Introduction to Data Science Applications in Public Policy and Political Studies | — | --LEC: Th 2:30PM - 5:15PM | — | |||
| DSPS 2103 | Intermediate Data Science Applications in Public Policy and Political Studies | — | — | — | — | ||
| DSPS 2104 | Advanced Programming for Data Science | — | — | Pre-requisite(s): DSPS1003. | — | ||
| DSPS 2201 | Data Preprocessing for Data Analytics | — | --LEC: Tu 2:30PM - 5:15PM | Pre-requisite(s): DSPS2102 or (DSPS1003 and DSPS1004). | — | ||
| DSPS 2202 | Database Systems for Data Science | --LEC: Th 10:30AM - 1:15PM | — | Pre-requisite(s): DSPS1003. | — | ||
| DSPS 2301 | Policy Analysis and Design Thinking | --LEC: Th 2:30PM - 5:15PM | — | — | |||
| DSPS 2320 | AI Governance and Public Policy | — | --LEC: We 2:30PM - 5:15PM | — | — | ||
| DSPS 2501 | Managing Technology and Policy Innovation | — | --LEC: Tu 10:30AM - 1:15PM | — | |||
| DSPS 2520 | Data Science Project Management | --LEC: Tu 10:30AM - 1:15PM | — | — | — | ||
| DSPS 2730 | Linear Algebra for Data Science | — | — | Pre-requisite(s): DSPS1003. | — | ||
| DSPS 2830 | Calculus for Data Science | — | — | Pre-requisite(s): DSPS1003. | — | ||
| DSPS 3190 | Big Data Analytics for Public Policy | — | --LEC: We 10:30AM - 1:15PM | Pre-requisite(s): DSPS2202. | |||
| DSPS 3202 | Machine Learning for Public Policy | --LEC: Mo 2:30PM - 4:15PM -T01-TUT: Mo 4:30PM - 5:15PM | — | Pre-requisite(s): DSPS2201. | |||
| DSPS 3310 | Collaborative Governance in a Global Context | — | — | — | — | ||
| DSPS 3320 | Data Science and Regulation | — | — | — | — | ||
| DSPS 3330 | Extended Reality (XR) for Data Visualization and Policy Narratives | — | — | Pre-requisite(s): DSPS1003. | |||
| DSPS 3340 | Smart Cities and Internet of Things | — | — | Pre-requisite(s): DSPS1003. | — | ||
| DSPS 3350 | Computer Simulation for Policymaking | — | — | Pre-requisite(s): DSPS1003 and DSPS1004. | — | ||
| DSPS 3501 | Policy Leadership and Entrepreneurship Workshop | — | -T01-TUT: Mo 12:30PM - 1:15PM -W01-WKS: Mo 10:30AM - 12:15PM | — | |||
| DSPS 3790 | Social Network Analysis for Public Policy | — | — | Pre-requisite(s): DSPS2201. | |||
| DSPS 3791 | Natural Language Processing for Public Policy | — | --LEC: Th 10:30AM - 1:15PM | Pre-requisite(s): DSPS3202. | |||
| DSPS 3802 | Advanced Data Visualization | --LEC: Mo 10:30AM - 12:15PM -T01-TUT: Mo 12:30PM - 1:15PM | — | Pre-requisite(s): DSPS2201. | — | ||
| DSPS 3803 | AI for Social Good | --LEC: We 2:30PM - 4:15PM -T01-TUT: We 4:30PM - 5:15PM | — | — | — | ||
| DSPS 4203 | Advanced Applications of Data Science in Public Policy | — | — | Pre-requisite(s): DSPS2201 and DSPS3202. | — | ||
| DSPS 4310 | Data, Evidence and Public Policy | — | — | — | — | ||
| DSPS 4803 | Selected Topics in Data Science and Policy Studies III | — | — | — | — | ||
| DSPS 4804 | Selected Topics in Data Science and Policy Studies IV | — | — | — | — |
Explanatory Notes
1.No more than 9 units of courses taken to fulfill the requirements of the students’ Major Programme(s) and other Minor Programme(s) respectively can be used to fulfill the requirement of this Minor Programme.