Computational Social Science

Return to: 2105 Department of Criminal Justice and Criminology

Adam Pah, Faculty Contact
apah@gsu.edu

The certificate will prepare students for careers and independent research in Computational Social Science, an increasingly critical skill set for students entering social science related jobs across a wide range of industries, including government agencies and non-profits. The certificate consists of a carefully developed curriculum that covers the core skills in Computational Social Science that are required to succeed in a world where organizations are increasingly undergoing digital transformation and more sophisticated data analysis is necessary to support organizational goals and missions. This includes but is not limited to the learning how to program in R and/or Python to analyze data; data visualization; data extraction and transformation from the web; massively on-line experiments and surveys; unstructured data (free text) analysis; advanced structured data (tabular) analysis; geographic information system (GIS) methods; and machine-learning. The courses will also offer opportunities for students to develop soft skills such as teamwork, communication and presentation skills, and critical thinking.

Graduate Certificate Requirements

CSS Introduction (3 Credit Hours)

CRJU 8630 - Introduction to Computational Social Science 3 Credit Hours

Text Analysis (3 Credit Hours)

Choose one from the list below.

AL 8270 - Selected Topics in Applied Linguistics 3 Credit Hours
Must be “Language and Computers” Topics
AL 8760 - Corpus Linguistics 3 Credit Hours
AL 8765 - Phraseology 3 Credit Hours
PMAP 9501 - Special Topics in Public Policy 1 to 3 Credit Hours
Must be “Computational Social Science: Methods and Applications” Topics
EPRS 8710 - Text Mining in Education and Human Development 3 Credit Hours

Structured Data & GIS Analysis (3 Credit Hours)

Choose one from list below.

ECON 8720 - Introduction to Data Management and Analysis 3 Credit Hours
PMAP 8541 - Coding in R for Policy Analytics 3 Credit Hours
PMAP 8561 - GIS Applications 3 Credit Hours
ECON 9760 - Machine Learning In Economics 3.0 Credit Hours
URB 8040 - Urban Policy Analytics 3 Credit Hours
EPRS 8600 - Statistical Programming and Data Management 3 Credit Hours
GEOS 6520 - Quantitative Spatial Analysis 3 Credit Hours
GEOS 6532 - Introduction to Geographic Information Systems 4 Credit Hours

Data Visualization (3 Credit Hours)

PMAP 8551 - Data Analysis and Visualization 3 Credit Hours

Awarding of the Certificate

Students in the Graduate Certificate program should apply to graduate two semesters prior to their expected completion term. Details and deadlines can be found here: registrar.gsu.edu/graduation/.