Social Science Analytics Specialization

Specialization Educational Objectives

In addition to the core objectives, a student graduating with a Bachelor of Science degree with a major in Data Analytics with a specialization in Social Science Analytics:

• will demonstrate an understanding of methodologies used by social scientists in the conduct of research, including ethical issues.
• will demonstrate proficiency in critically evaluating social science research.
• will demonstrate proficiency in the design and implementation of original social science research

General Education Courses

The Social Science Analytics specialization follows the Bachelor’s of Science Gen Ed requirement through the College of Arts and Sciences. Students completing the Social Science Analytics specialization will be required to complete an independent research project of their choosing under the guidance of a faculty member. In order to prepare for the independent research project, students are encouraged to complete Gen Ed courses by strategically selecting relevant coursework that meets their research interests. There are several Gen Ed courses that might be of interest to students depending on the area of research they wish to pursue. Students can strategically coordinate a number of Gen Ed courses in a way that could be helpful in preparing for their required research project. 

Degree Planning Resources

Take a look at the suggested 4-year sample plan [pdf] and the advising curriculum sheet [pdf] for Social Science Analytics. These should be used as guides only. Semester offerings are subject to change.

Specialization Requirements

All students specializing in Social Science Analytics must complete the following specialization requirements:

Overview of Research Methods: Select One (1) Course

Comm 3160: Communications Research Methods (4 cr hrs)
Polit Sci 4781: Data Analysis in Political Science I (3 cr hrs)
Psych 2300: Research Methods in Psychology (3 cr hrs)
Sociol 3487: Research Methods in Sociology (3 cr hrs)

Electives: Choose Any Three (3) Courses

Students can select any three courses they wish from the following list, and are not restricted to courses from only one discipline. It is important to note that some of the courses have prerequisite courses that will need to be completed in advance, so careful planning is necessary.

Anthro 5650: Research Design and Ethnographic Methods (3 cr hrs)
Comm 3163: Communication Industry Research Meahods (4 cr hrs)
Econ 4050: Experimental Economics (3 cr hrs)
Econ 5420: Econometrics II (3 cr hrs)
Geog 5200: Cartography and Map Design (3 cr hrs)
Geog 5201: GeoVisualization (3 cr hrs)
Geog 5210: Fundamentals of GIS (3 cr hrs)
Geog 5222: GIS Algorithms and Programming (3 cr hrs)
Geog 5223: Design and Implementation of GIS (3 cr hrs)
Geog 5225: Geographic Applications of Remote Sensing (3 cr hrs)
Geog 5226: Spatial Simulation and Modeling in GIS (3 cr hrs)
Polit Sci 3780: Data Literacy and Data Visualization (3 cr hrs)
Psych 4511: Psychological Testing (3 cr hrs)
Sociol 4650: Seminar in Social Networks (3 cr hrs)
Stat 5510: Statistical Foundations of Survey Research (3 cr hrs)

Independent Research in the Social Sciences and Capstone Experience: Take Both (2) Courses

Students completing the Social Science Analytics specialization are required to complete an independent research project of their choosing under the guidance of a faculty member and a capstone experience course. Students should meet with their academic advisor early and often to discuss possible topics and strategies for pursuing the research component of this specialization. 

• DEPT 4998/4999: Undergraduate Research or Thesis Research (3+ cr hrs)
• STAT 4194: Capstone in Data Analytics (3 cr hrs)

 

[pdf] - Some links on this page are to .pdf files. If you need these files in a more accessible format, please contact data-analytics@osu.edu.

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