The purpose of the M.S. in Sociology with a concentration in digital sociology is to teach students to analyze digitally native data through the lens of social justice. The program aims to prepare graduates to shape emerging local, national and global conversations about big data, privacy, algorithms, inequality and social movements. The sociology department believes in the importance of developing new ways of doing sociology that are both public and critical. The program brings together a cross-disciplinary course sequence in methods, theory, big data analysis, data visualization, social network analysis, digital sociology, public sociology and digital social problems, culminating in two practicums. Students create meaningful projects from the beginning of the program, building a digital portfolio exhibiting their proficiency in applying sociological theory, methodology and critical analysis skills to the digital world.
Student learning outcomes
- Students will demonstrate a mastery of the key concepts, including diversity and inequality, developed by classical and modern sociological theorists.
- Students will organize and integrate information into a cohesive overview of current knowledge and demonstrate the ability to critically evaluate the meaning, value and contribution of published literature in the field.
- Students will demonstrate the ability to design and implement an appropriate collection and analysis of data, which is a critical response to theory and current literature in the field of sociology.
- Students will demonstrate the ability to draw reasoned conclusions based on qualitative and/or quantitative evidence relevant to the discipline of sociology.
- Students will demonstrate the ability to present their work as a cohesive artifact to their relevant publics.