The Learning Analytics program prepares graduate students to make data-driven decisions about education using quantitative methods drawn from computer science, statistics, and cognitive science. We study the "big data" generated by online and digital learning environments and develop new insights that benefit students, teachers, and administrators. Our students learn analyses methods through coding, statistical model building, and visualization as well as relevant policy, legal, and ethical issues involved in conducting analysis on education data. Graduates of our masters program pursue jobs in educational technology companies and startups, think tanks, and governmental data groups.

Careers:

Data analysis represents one of the fastest growing career paths, and employers in the education sector are increasingly looking to hire individuals with the skills to make data-driven decisions. The Master of Science in Learning Analytics prepares researchers and professionals for a range of careers in:

-Education technology companies and startups

-Educational evaluation

-Educational think tanks

-Data groups in city, state, and federal departments of education