BSSc in Data Science and Policy Studies (DSPS)
BSSc in Data Science and Policy Studies (DSPS)
Curriculum
1. Curriculum for Students Admitted in 2023-24
| Course Category | 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.
| Major Programme Requirement | ||
| Students are required to complete a minimum of 72 units of courses as follows: | ||
| Units | ||
| 1. | Faculty Package: | 9 |
| DSPS1001 and any two courses, offered by two different Programmes/Departments/Schools, chosen from the following:
ARCH1001, 1002, COMM1110, 1120, 1150, ECON1210, 1220, 2011, GLSD1001, GPAD1020, 1076, 1077, GRMD1302, 1401, 1402, PSYC1000, 1630, SOCI1001, 1201, SOSC1001, 1002, SOWK1001, 1113, 1114, URSP1001, 1002 |
||
| 2. | Required Courses: | |
| (a) | DSPS1003, 1004, 3801, 4801 (capstone course), 4802 (capstone course) | 15 |
| (b) | Resident Study Overseas:
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. |
9 |
| 3. | Elective Courses[a]: | |
| (a) | Methods and Tools
Any seven courses from the following: COMM3650#, DSPS2102, 2104, 2201, 2202, 2730, 2830, 3190, 3202, 3330, 3350, 3802, 3790, 3791, ECON2121#, 3121# GRMD2105#, SOCI4201#
|
21 |
| (b) | Policy Applications
Any six courses from any of the following areas:
|
18
|
| i. Policy Science and Public Governance
DSPS2301, 2501, 3320, 3501, 3803, 4310, GPAD2065#, 2085#, 2090#, 2095#, 2160#, 2170# |
||
| ii. Global Relationship
DSPS3310, GLSD2401#, 2501#, SOCI3241# |
||
| iii. Human Resources
PSYC3360#, SOCI3102#, 3227# |
||
| iv. Social Problems, Deviance, Law and Order
ECON3630#, PSYC3370#, SOCI2216#, 3002#, 3204# |
||
| v. Sustainable Smart Cities
GRMD2401#, 2403#, 2501#, 3203#, 3404#, 4401#, 4502#, 4503#, URSP3100#, 3300#, 3400#, 3600# |
||
| Total: | 72 | |
| Explanatory Notes: | ||
| 1. | DSPS courses at 2000 and above level 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 can only choose up to three non-DSPS courses under the same subject area. | |
| Recommended Study Pattern | Units | |
| First Year of Attendance | 1st term
Faculty Package: DSPS1001 and 1 Faculty Package course Major Required: DSPS1003 Major Elective(s): |
6
3 |
| 2nd term
Faculty Package: 1 course Major Required: DSPS1004 Major Elective(s): |
3 3 |
|
| Second Year of Attendance | 1st term
Major Elective(s): 1 – 3 course(s) |
3 – 9 |
| 2nd term
Major Elective(s): 1-3 course(s) |
3- 9 |
|
| Third Year of Attendance | 1st term
Compulsory Resident Study Overseas |
9 |
| 2nd term
Major Required: DSPS3202, 3501 and 3801 Major Elective(s): 1 – 3 course(s) |
9 3-9 |
|
| Fourth Year of Attendance | 1st term
Major Required: DSPS4801 Major Elective(s): 1 – 3 course(s) |
3 3-9 |
| 2nd term
Major Required: DSPS4802 Major Elective(s): 1-3 course(s) |
3 3-9 |
|
| Total (including Faculty Package): | ||
| Course Code | Course Name |
| Required Courses | |
| 1 Faculty Package | |
| DSPS1001 | Introduction to Policy Sciences |
| 2 (a) Required Courses | |
| DSPS1003 | Foundation of Data Science |
| DSPS1004 | Statistics for Data Science and Policy Studies |
| DSPS3801 | Internship |
| DSPS4801 | Graduation Capstone Project I |
| DSPS4802 | Graduation Capstone Project II |
| Elective Courses | |
| 3 (a) Category I Methods & Tools | |
| COMM3650 | Social Media Analytics for Communication Professionals |
| DSPS2102 | Statistical Analysis for Policy Decision |
| DSPS2104 | Advanced Programming for Data Science |
| DSPS2201 | Data Preprocessing for Data Analytics |
| DSPS2202 | Database Systems for Data Science |
| DSPS2730 | Calculus for Data Science |
| DSPS2830 | Linear Algebra for Data Science |
| DSPS3190 | Big Data Analytics for Public Policy |
| DSPS3202 | Machine Learning for Public Policy |
| DSPS3330 | AR/VR Applications for Policy Design |
| DSPS3350 | Computer Simulation for Policymaking |
| DSPS3790 | Social Network Analysis for Public Policy |
| DSPS3791 | Natural Language Processing for Public Policy |
| DSPS3802 | Advanced Data Visualization |
| ECON2121 | Methods of Economic Statistics |
| ECON3121 | Introductory Econometrics |
| GRMD2105 | Introduction to GIS |
| SOCI4201 | Quantitative Method: Survey and Unconventional Data Types |
| 3 (b) Category II Policy Applications | |
| (1) Policy Science and Public Governance | |
| DSPS2301 | Policy Analysis and Design Thinking |
| DSPS2501 | Managing Technology and Policy Innovation |
| DSPS3320 | Data Science and Regulation |
| DSPS3501 | Policy Leadership and Entrepreneurship Workshop |
| DSPS3803 | AI for Social Good |
| DSPS4310 | Policy and Programme Evaluation |
| GPAD2065 | Values and Public Affairs |
| GPAD2085 | Public Governance and Civil Service in HK |
| GPAD2090 | Governance and Public Policy |
| GPAD2095 | Public Policy Workshop |
| GPAD2160 | Public Finance and Budgeting |
| GPAD2170 | Public Organization and Management |
| (2) Global Relationship | |
| DSPS3310 | Collaborative Governance in a Global Context |
| GLSD2401 | Global Sustainability |
| GLSD2501 | World Economic Order |
| SOCI3241 | Introduction to Global Sociology |
| (3) Human Resources | |
| PSYC3360 | Human Intelligence |
| SOCI3102 | Social Networks and Social Capital |
| SOCI3227 | Social Demography |
| (4) Social Problems, Deviance, Law and Order | |
| ECON3630 | Law and Economics |
| PSYC3370 | Psychology and Law |
| SOCI2216 | Social Problems in China |
| SOCI3002 | Social Stratification |
| SOCI3204 | Sociology of Crime and Deviance |
| (5) Sustainable Smart Cities | |
| GRMD2401 | Sustainable Development |
| GRMD2403 | Nature Conservation in Hong Kong |
| GRMD2501 | Theory and Practice of Smart Cities |
| GRMD3203 | Urban Environmental Problems |
| GRMD3404 | Natural Hazards and Human Responses |
| GRMD4401 | Energy Resources for Carbon Neutrality |
| GRMD4502 | Urban Big Data Analysis and Application |
| GRMD4503 | Smart City Policies and Governance |
| URSP3100 | Housing Issues and Policy |
| URSP3300 | Sustainable Urban Transport |
| URSP3400 | Essentials of the Land Development Process |
| URSP3600 | Designing Smart Cities |
2. Curriculum for Students Admitted in 2022-23 & Before
| Course Category | 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 |
|
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| Recommended Study Pattern 2022-23 | Units | |
| First Year of Attendance | 1st term
Faculty Package: DSPS1001 and 1 Faculty Package course Major Required: Major Elective(s): |
6 |
| 2nd term
Faculty Package: 1 course Major Required: DSPS1002 and 1003 Major Elective(s): |
3 6 |
|
| Second Year of Attendance | 1st term
Major Required: DSPS2101 and 2501 Major Elective(s): 1 course |
6 3 |
| 2nd term
Major Required: DSPS2102, 2201 and 2301 Major Elective(s): 1-2 course(s) |
||
| 9 | ||
| 3-6 | ||
| Third Year of Attendance | 1st term
Compulsory Resident Study Overseas |
|
| 9 | ||
| 2nd term
Major Required: DSPS3202, 3501 and 3801 Major Elective(s): 1-2 course(s) |
9 3-6 |
|
| Fourth Year of Attendance | 1st term
Major Required: DSPS4801 Major Elective(s): 1-2 course(s) |
3 3-6 |
| 2nd term
Major Required: DSPS4802 Major Elective(s): 1-2 course(s) |
3 3-6 |
|
| Total (including Faculty Package): | 72 | |
| Course Code | Course Name |
| Required Courses | |
| 1 Faculty Package | |
| DSPS1001 | Introduction to Policy Sciences |
| 2 (a) Required Courses | |
| DSPS1002 | Data Science and Public Policy |
| DSPS1003 | Foundation of Data Science |
| DSPS2101 | Research Methods for Policy Studies |
| DSPS2102 | Statistical Analysis for Policy Decision |
| DSPS2201 | Data Preprocessing for Data Analytics |
| DSPS2301 | Policy Analysis and Design Thinking |
| DSPS2501 | Managing Technology and Policy Innovation |
| DSPS3202 | Machine Learning for Public Policy |
| DSPS3501 | Policy Leadership and Entrepreneurship Workshop |
| DSPS3801 | Internship |
| DSPS4801 | Graduation Capstone Project I |
| DSPS4802 | Graduation Capstone Project II |
| Elective Courses | |
| 3 (a) Elective Courses | |
| DSPS3310 | Collaborative Governance in a Global Context |
| DSPS3320 | Data Science and Regulation |
| DSPS3802 | Advanced Data Visualization |
| DSPS3803 | AI for Social Good |
| DSPS4203 | Advanced Applications of Data Science in Public Policy |
| DSPS4310 | Policy and Programme Evaluation |
| DSPS4803 | Selected Topics in Data Science and Policy Studies III |
| DSPS4804 | Selected Topics in Data Science and Policy Studies IV |
| ECON4130 | Economic Analysis for Social Networks |
| SOCI3236 | Migration and Policy Reflection on Global Citizenship |
| SOWK2204 | Social Innovation and Social Change for Good |
| 3 (b)(i) Disciplinary Elective Courses | |
| COMM3660 | Info & Data Visualization |
| COMM3680 | Business & Financial Reporting |
| COMM3711 | Script Writing and Screenplay |
| COMM3733 | Television Production |
| ECON3121 | Introductory Econometrics |
| ECON3140 | Financial Data Analysis |
| ECON3410 | Money and Banking |
| ECON3430 | Public Finance |
| ECON3590 | Business Economics |
| GPAD4225 | Theories of Int’l Relations |
| GRMD3404 | Natural Hazards and Human Res |
| PSYC3820 | Industrial-Organizational Psy |
| SOCI3229 | Quantitative Data Analysis |
| SOWK3310 | Social Welfare Administration |
| SOWK3340 | Social Policy and Planning |
| 3 (b)(ii) Technology and Statistics Elective Courses | |
| CSCI2100 | Data Structures |
| CSCI2510 | Computer Organization |
| CSCI2520 | Data Structures and Applications |
| CSCI2720 | Building Web Applications |
| CSCI3100 | Software Engineering |
| CSCI3150 | Introduction to Operating Systems |
| CSCI3160 | Design and Analysis of Algorithms |
| CSCI3170 | Introduction to Database Systems |
| CSCI3180 | Principles of Programming Languages |
| CSCI3190 | Introduction to Discrete Mathematics and Algorithms |
| CSCI3230 | Fundamentals of Artificial Intelligence |
| CSCI3250 | Computers and Society |
| CSCI3260 | Principles of Computer Graphics |
| CSCI3280 | Introduction to Multimedia Systems |
| CSCI3290 | Computational Imaging and Vision |
| CSCI3310 | Mobile Computing and Applications Development |
| CSCI3320 | Fundamentals of Machine Learning |
| CSCI4130 | Introduction to Cyber Security |
| CSCI4160 | Distributed and Parallel Computing |
| CSCI4180 | Introduction to Cloud Computing and Storage |
| CSCI4190 | Introduction to Social Networks |
| ENGG2760 | Probability for Engineers |
| ENGG2780 | Statistics for Engineers |
| IERG3320 | Social Media and Human Information Interaction |
| IERG4230 | Introduction to Internet of Things |
| IERG4330 | Programming Big Data Systems |
| SEEM2460 | Introduction to Data Science |
| SEEM3680 | Technology, Consulting and Analytics in Practice |
| SEEM4630 | E-Commerce Data Mining |
| SEEM4720 | Computational Finance |
| STAT2001 | Basic Concepts in Statistics and Probability I |
| STAT2005 | Programming Languages for Statistics |
| STAT2006 | Basic Concepts in Statistics and Probability II |
| STAT2102 | Basic Statistical Concepts and Methods II |
| STAT3001 | Foundation of Financial and Managerial Statistics |
| STAT3003 | Survey Methods |
| STAT3005 | Nonparametric Statistics |
| STAT3006 | Statistical Computing |
| STAT3008 | Applied Regression Analysis |
| STAT4001 | Data Mining and Statistical Learning |
| STAT4003 | Statistical Inference |
| STAT4004 | Actuarial Science |
| STAT4005 | Time Series |
| STAT4006 | Categorical Data Analysis |
| STAT4008 | Survival Modelling |
| STAT4010 | Bayesian Learning |