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 (69-73 credits)
This new program requirement will be effective in FALL 2018, for 2017-18 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]
- SOSC3700 Quantitative Social Analysis Practicum [2 credits]
NOTE: Attainment of 2 credits from SOSC3700 by taking the course for 2 times. Student may request to use UROP1100 and/or UROP courses of higher level to substitute for SOSC3700 upon approval by the program office.
- SOSC4100 Research Pro-seminar (P/F Grading) [1 credit]
- SOSC4110 Capstone Project [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]
- MATH2011 OR MATH2023 [3-4 credits]
- MATH2011 Introduction to Multivariable Calculus [3 credits]
- MATH2023 Multivariable Calculus [4 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]
Elective Courses (27 credits)
Students are required to take 15 credits (5 courses) of Social Science electives AND 12 credits (4 courses) from the specified Methodological electives list.
It is required to take any 5 courses in the subject of SOSC, of which at least 6 credits must be at 3000-/4000-level. Courses on the list of 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]
- SOSC4330 Advanced Statistics for Social Research [3 credits]
- 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]
- COMP2011 Introduction to Object-oriented Programming [4 credits]
- ISOM3360 Business Intelligence and Data Mining [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 in Quantitative Social Analysis as their first major are exempted from the school requirements. But, they are still required to meet the University requirements in addition to the major requirements for graduation.
- Some courses used to fulfill major requirements can also meet the University requirements on common core courses. Students may reuse a maximum of 6 credits of these courses to count towards common core courses.
- To graduate from the University, students should complete at least 120 credits. Students may have to take courses beyond the ones summarized above to meet the 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: 20 Aug 2020 16:42