Master of Social Sciences (Social Data Analytics)
[MSocSc(SDA)]Master of Social Sciences (Social Data Analytics)
[MSocSc(SDA)]
[MSocSc(SDA)]Master of Social Sciences (Social Data Analytics)
[MSocSc(SDA)]
MSocSc(SDA) pools computational and quantitative research expertise across the Faculty of Social Sciences to offer students the data analytical skills and prepare them for further doctoral training and to work as data sciences professionals in NGO and governmental agency, business, advertising, marketing, and other jobs across the knowledge economy that require integrating social sciences domain expertise with large datasets in computational systems.
Curriculum Structure
30
Credits Compulsory Courses
18
Credits Elective Courses
12
Credits Capstone
60Credits
Career Prospects
• Computational/Quantitative Social Scientist
• Computational Behavioral Scientist
• Social Sciences Analyst
• Quantitative Social Sciences Consultant
• Research Scientist
• Recruitment Research Manager
• Data Scientist
• Quantitative User Experience Researcher
• Experimentation and Analytics Researcher
Alumni Sharing
Student Voices
I wanted to understand and explore the role that I could play in the corporate setting regarding sustainability, and this programme provided a very comprehensive range of topics that really helped me understand the corporate sustainability landscape.
Erica CHAN
MSLG 2021
Student Voices
As a member of the financial services industry, I have observed growing expectations from financial market operators, regulators, and other stakeholders in recent years with regard to the ESG performance of banks. The SLG (previously known as CEG) Programme equipped me with an understanding of the terminology used in the sustainability field as well as the issues facing businesses today. The Programme also provided me with the analytical skills and critical thinking needed to work effectively and confidently as a sustainability practitioner in the banking field.
David KIM
MSLG 2020