University of Texas at Dallas

Overview

The Master of Science in Social Data Analytics and Research at The University of Texas at Dallas equips students with the skills to design impactful social science studies and convert complex datasets into valuable insights. This program emphasizes both quantitative and qualitative research methods, data management techniques, and ethical practices essential for informed decision-making in policy, research, and organizational contexts.

What you'll study

The curriculum integrates foundational research methodologies with data-centric coursework, guiding students from study design to analysis and ethical interpretation of data.

• Methods of Data Collection and Production
• Research Practice in the Social Sciences
• Research Design
• Knowledge Mining
• Data Management for Social Science Research
• Information Management

Note: Additional electives, special topics, or capstone/thesis requirements may be included as per the university's official program offerings.

Entry requirements

Applicants to the program should meet the following requirements:

• GPA: A minimum GPA of 3.0 is typically expected.
• English Language Proficiency: Non-native speakers must provide proof of English proficiency through accepted tests such as IELTS, TOEFL iBT, PTE Academic, or the Duolingo English Test.
• GRE/GMAT: Submission of GRE or GMAT scores is generally required.
• Application Fee: A non-refundable application fee is required upon submission of the application.
• International Credential Evaluation Fee: A fee may be applicable for the evaluation of international credentials.

Career prospects

Graduates of the Master of Science in Social Data Analytics and Research program are well-prepared for various career paths in sectors such as public policy, market research, social services, and academia. They possess the analytical skills necessary to assess data-driven insights and contribute to evidence-based decision-making processes in diverse organizational environments.