Master of Science in Social Data Analytics and Research
Mission
The mission of the Master of Science in Social Data Analytics and Research (SDAR) is to equip individuals with rigorous multi-disciplinary proficiency in methods of social data production, collection, investigation and visualization using the big data approach for which there is a strong and increasing demand in the public, nonprofit, and private sectors, as well as in doctoral programs and other advanced research organizations.
The program endows students with a clear understanding of algorithmic modeling and collection of social big data using modern methods such as API and search-based web scrapping. It encourages reflection not only on core methods, theories and philosophical dimensions of social science practice, but also emerging data analytic methods such as social media data collection, social network analysis, machine learning, spatiotemporal mapping, data mining and visualization, and big data management. It also fosters an appreciation of the role of social data analytic methods in helping to shaping public policy and action through participation in the evaluation of policies and programs in place as well as through the formulation of new ones based on the outcomes of data analysis.
Program Description
The Master of Science in Social Data Analytics and Research degree program builds on faculty expertise in criminology, economics, geospatial information sciences, political science, public and nonprofit management, public policy, political economy and sociology to equip students with advanced training that is widely applicable in a variety of fields.
As demand for social data production, collection and analysis increases — driven by government, nonprofit and private sector organizations, as well as doctoral programs and advanced research institutions — students with advanced training and expertise in both quantitative and qualitative methodologies will have the skills and experienced needed to thrive in many different industries.
Career Opportunities
UTD SDAR Alumni Employers
UTD SDAR Alumni Job Titles
Data Scientist or Analyst
Data Mining Specialist
Database Manager
Statistician
Program Evaluation Analyst
Decision Support Analyst
Research Analyst
Opinion Polling Statistician
Community Intelligence Expert
Information Resource Analyst
Objectives
- Students will learn big data analytic skills and capabilities in practice to sustain public, nonprofit, and private sector organizations as they address pressing societal issues on both local and global scales;
- Students will work with quantitative and qualitative data discovery, analysis and visualization;
- Students will use data science and social science methodologies, theories as well as the ethics of data science practice in the areas of public policy and services.
Required Classes
The program has three components: Required Core Courses (15 semester credit hours), Prescribed Analytical Electives (12 semester credit hours) and Prescribed Disciplinary Electives (9 semester credit hours). For detailed course information please visit the Graduate Catalog.
Admission Requirements
Although applications will be reviewed holistically, in general, entering students have earned a 3.0 undergraduate grade point average (GPA) (on a 4.0 point scale). An application essay, two letters of recommendation, and official transcripts are also required.
Prerequisites
While there are no specific course prerequisites, entering students will benefit from exposure to undergraduate courses in statistics.
Grading Policy
In order to qualify for graduation, students must maintain a minimum 3.0 grade point average in their degree program’s core courses plus an aggregate grade point average of 3.0 for all graduate courses taken in the student’s degree program at UT Dallas.