MPhil-PhD in Computational Social Science
Shenzhen, China
DURATION
4 up to 5 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
06 Apr 2025
EARLIEST START DATE
Request earliest startdate
TUITION FEES
CNY 115,000 / per year
STUDY FORMAT
On-Campus
Key Summary
Introduction
The rise of digital technology has revolutionized every subfield in humanities and social science (HSS). Applying digital technology to HSS has become an unavoidable global trend in the future.
The MPhil-PhD Program in Computational Social Science is designed for students who wish to pursue an academic career in the broad area of computational social science and humanities. It will train students to identify interesting and promising research topics and conduct research projects by bridging the gap between computational techniques and traditional studies in humanities and social sciences.
They are expected to become leading scholars and practitioners in academia and industries, making original and substantial contributions to their fields of research and to humanity and society.
This program aims to attract two types of applicants who have, 1) a computer science background with a strong interest in humanities and social science, and 2) a social science and humanities background with a strong interest in social computing. Translation, linguistics, literature, or other relevant humanities and social sciences are welcome to apply for the program.
Admissions
Curriculum
I. Lecture Courses: Group A (Required)
- Social Science Research Methods
- Statistics for Social Science
- Computational Thinking with Social Science Applications
II. Lecture Courses: Group B (Elective)
- Advanced Topics in Sociology
- Computational Linguistics
- Advanced Topics in Economics
- Advanced Topics in Archaeology
- Advanced Topics in Literature
- Theories of Global Studies
- Comparative Politics
- Advanced Topics in Educational Psychology
- Advanced Topics in Social Statistics
- Introduction to Machine Learning for Social Science
- Data Visualization for Social Science
- Psychological Testing
- Introduction to Social Science Data Management and Analysis
- Introduction to Statistical Learning
- Introduction to Social Computing
- Cloud Computing for Social Science
- Academic Writing and Presentation
- Survey Experiment
III. Thesis Research Course (students need to register for the course every term)
- Thesis Research
- Thesis Research
IV. Other Courses
- Research Seminars
- Thesis Writing and Presentation
- Research Seminars