Faculty Strategic Initiative

The Computational Social Science (CCS) Concentration is an integral part of the interdisciplinary CSS initiative of the Faculty of Social Science, supported by its CSS Lab and the popular CSS Webinar Series that has attracted thousands of participants in recent live-streamed talks.

 

Dual Academic Identity

Every CSS Concentration student will have two institutional homes – the CSS Lab and the hosting department. This is a strategic feature to ensure that all CSS Concentration students will acquire a dual scholarly identity – an expert in CSS and a disciplinary expert – so that they will be optimally positioned for the job market.

 

Study Scheme

Required Course

SOSC6002 Advanced Methodology

CSS Elective Courses

CMSC5707 Advanced Topics in Artificial Intelligence

CMSC5733 Social Computing

CMSC5734 Network Science

COMM6320 Digital Research (not applicable for COMM students)

CSCI5150 Machine Learning Algorithms and Applications

CSCI5350 Advanced Topics in Game Theory

CSCI5640 Natural Language Processing

ECON5150 Applied Econometrics

ECON5180 Economics and Data Science

ENGG5103 Techniques for Data Mining

ENGG5108 Big Data Analytics

GISM5065 Geospatial Big Data for Smart Urban Planning

MMAT5370 Social and Economic Networks: Theory, Modelling and Computations

Seminar Courses

SOSC 7010 Seminar (I): Computational Social Science

SOSC 7020 Seminar (II): Computational Social Science

Additional Requirements

a)    Completion of the equivalent of a publishable research paper, a first or solo-authored manuscript by the 5th term

b)   Completion of a Computational Social Science concentration examination by the end of Year 3

Enquiry
Please contact the participating academic unit concerned for details.