Program Requirements (2021 onwards)

The program includes required courses that offer foundational training in quantitative methods and social science paradigms, electives that offer opportunities for advanced methodological training and deeper engagement of topics in social science, and a capstone project in which students will apply the skills they have learned to carry out an analysis on a topic of their choice. For their social science topics courses, students choose from a menu of courses in sociology, political science, economics, and other disciplines offered by faculty in the Division of Social Science. For their methodological training, students choose from a menu of courses offered by Social Science, Math, and other units.
 

Locate & Manage Data
Design & Conduct an Analysis
Interpret & Present Results

 
The program is designed so that students acquire basic training in their first two years, develop experience carrying out analysis independently in their second and especially third year by taking laboratory courses in conjunction with their electives, and then demonstrate their ability to design and execute a project of their own in their capstone project, and communicate the results.
 

▌Program Required Courses (69-72 credits)


This new program requirement will be effective in FALL 2021, for 2021-22 intake and after.

  • SOSC1100 Quantitative Data Analysis for Social Research I [3 credits]
  • SOSC1200 Quantitative Social Analysis [3 credits]
  • SOSC1210 First-Year Seminar for Quantitative Social Analysis (P/F Grading) [1 credit]
  • SOSC2140 Research Methods in the Social Sciences [3 credits]
  • SOSC2400 Quantitative Data Analysis for Social Research II [3 credits]
  • SOSC4110 Capstone Project [3 credits]
  • SOSC4330 Quantitative Data Analysis for Social Research III [3 credits]
  • (MATH1012/1013/1023) & (MATH1014/1024) OR MATH1020 [4-7 credits]
  • MATH1012 Calculus IA [4 credits]
  • MATH1013 Calculus IB [3 credits]
  • MATH1014 Calculus II [3 credits]
  • MATH1020 Accelerated Calculus [4 credits]
  • MATH1023 Honors Calculus I [3 credits]
  • MATH1024 Honors Calculus II [3 credits]
  • MATH2411 Applied Statistics [4 credits]
  • LANG2070 English Communication for Humanities and Social Science Studies I [3 credits]
  • LANG3070 OR LABU2060 [3 credits]
  • LANG3070 English Communication for Humanities and Social Science Studies II
  • LABU2060 Effective Communication in Business
  • COMP1021 OR COMP1022P [3 credits]
  • COMP1021 Introduction to Computer Science
  • COMP1022P Introduction to Computing with Java
  • COMP1942 Exploring and Visualizing Data [3 credits]

Major Electives (30 credits)

Students are required to take 18 credits (6 courses) of Social Science Electives AND 12 credits (4 courses) from the QSA Methodological Electives.

Any 6 courses in the subject of 18 SOSC, including 1 course each from two different disciplines [Area 1 to Area 5], and another 6 credits must be at 3000-/4000- level. Courses on the list of QSA Methodological Electives may not be counted towards this elective requirement.
 
Click here for more Social Science courses.

  • Social Science [At LEAST 6 credits]
  • SOSC3240 Applications of Geographical Information Systems [3 credits]
  • SOSC3260 Sustainability Science: Policy Problems and Perspectives [3 credits]
  • SOSC3280 Methods of Demographic Analysis [3 credits]
  • SOSC3600 Public Policy Analysis [3 credits]
  • SOSC3720 Introduction to Social Network Analysis [3 credits]
  • SOSC4300 Computational Social Science [3 credits]
  • SOSC4320 Policy Analysis and Design for Sustainable Development [3 credits]
  • Mathematics
  • MATH2421 Probability [4 credits]
  • MATH2431 Honors Probability [4 credits]
  • MATH3423 Statistical Inference [3 credits]
  • MATH3424 Regression Analysis [3 credits]
  • MATH3426 Sampling [3 credits]
  • MATH4423 Nonparametric Statistics [3 credits]
  • MATH4424 Multivariate Analysis [3 credits]
  • MATH4425 Introductory Time Series [3 credits]
  • Others
  • COMP2011 Programming with C++ [4 credits]
  • ISOM3360 Data Mining for Business Analytics [3 credits]
  • MARK3220 Marketing Research [4 credits]

See notes regarding Common Core and University graduation requirements.

For descriptions of courses specific to QSA, please check here.

All course descriptions are listed at the University website.


▌Common Core Courses (36 Credits)

  • Students taking the BSc Program in Quantitative Social Analysis as their first major are exempted from the School Requirements. However, they are still required to complete the University requirements in addition to the major requirements for graduation.
  • Some courses used to fulfill Major Requirements can also fulfill University Common Core Requirements. Students may reuse a maximum of 6 credits of these courses to count towards Common Core Requirements.
  • To graduate, students should complete at least 120 credits in approved courses. They may need to take courses additional to the required and elective courses as specified above to meet this minimum credit requirement. We will do our best to accommodate students who seek to use these additional courses to complete a minor, or, a double major.

 
 
 

Last update: 19 Aug 2021 10:35