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Courses and degree

The curriculum of this cross-disciplinary specialty consists of three levels.
 
(1) Level 1 – Fundamental Common Courses:

  1. General education courses – Chinese Literature, Foreign Languages, Physical Education, and Service Learning.  
  2. Liberal Education courses – Language Writing, Communication Coordination, Media and Information Literacy, Design Thinking, Aesthetics, and Ethics, etc.
  3. Students of the College of Social Sciences should take the first-year required courses according to their majors. 
  4. Data Science and Social Inquiry (ECON5154) – a required course for this cross-domain specialty. This course introduces the latest development and applications of data science in all areas of social sciences. 

(2) Level 2 – Major-Specific Core Courses: (9 credits)

  1. Economics: Microeconomics, Macroeconomics, and other required courses from the sophomore year and above.
  2. Sociology: Social Psychology, Social Research Methods, and other required courses from the sophomore year and above.
  3. Political Science: Comparative Government, Applied Statistics, and other required courses from the sophomore year and above.
  4. Social Work: Social Casework, Social Work Research Methods, and other required courses from the sophomore year and above.

This category of the courses does not include the first-year required courses from the College of Social Sciences. 

(3) Level 3 – Cross-disciplinary Specialty Courses: (18 credits)

  1. Computer-related courses (6 credits): data structure and algorithm (Data), programming (Program), programming for Business Computing (Business Program) 
  2. Cross-disciplinary Application-oriented Courses (9 credits): courses related to the application and quantitative analysis of information technology in the College of Social Sciences. 
    Special attention: students should take computer-related courses for at least 6 credits from at least two out of the three modules: Data, Program, and Business Program. It is also important to note that 6 out of the 9 credits for the cross-disciplinary courses must be taken beyond the student’s original department or have been classified as cross-disciplinary. 
  3. Capstone Course (3 credits): Give students the opportunity to apply what they have learned in real internship jobs and contests. 

Please see this link(2022) for the detailed list of the cross-disciplinary courses. 

Important Deadlines

Students who have met the qualifications of the cross-disciplinary specialty may submit the application for the degree to the Department of Economics during the period of their studies. The application for the first semester should be submitted before the end of October. The application for the second semester should be submitted before the end of March. After completing the three-level courses according to the curriculum, the student’s school documents such as the degree certificate, and the year report will be marked with the “Data Science and Social Analysis" profession.