Data Science for Learning Applications (MS) at University of Southern California

The MS program integrates data science, AI, and learning and motivation research to create data- and AI-enhanced education. Graduates are prepared for roles such as data analysts, learning management systems analysts and technology specialists in the education sector. The 32 units split into 16 units at the Rossier School of Education and 16 units at the Viterbi School of Engineering.

Faculty: Rossier School of Education and Viterbi School of Engineering  |  Duration: 32 units  |  Study mode: full-time  |  Location: Los Angeles, CA, United States

What you will study

Core courses: DSCI 510, 549 and 550; EDUC 503 Principles of Learning and Motivation; EDUC 565a/b AI and Learning Technologies; EDUC 591 Inclusive and Accessible Instructional Design; two of EDUC 597, 600 or 621 (data-informed design, assessment, data presentation); and one Viterbi data science elective such as machine learning, data mining, visualization or probability and statistics.

Career pathways

Data analysts, learning management systems analysts and education-sector technology specialists; responsible use of AI in instructional design, personalized learning and learner support.

Official programme page