Program Highlights
Merge data science with learning and motivation research to create smarter educational solutions. Build skills in data analysis, learning analytics, and instructional design to improve outcomes across schools, training programs, and learning platforms.
Transform Education Through Data
The Master of Science in Learning and Data Science (DSLA) at USC is a joint program between the Rossier School of Education and the Viterbi School of Engineering.
Designed for professionals who want to combine data science with learning and motivation research, the program prepares graduates to design data-driven educational solutions. Students gain hands-on experience in data collection, data analysis, and the application of analytics to improve instructional design, learner support, and educational outcomes.
Graduates are equipped for roles such as data analyst, learning analytics specialist, LMS analyst, and educational technology consultant. The program includes coursework in both learning theory and advanced data science methods, offering a unique interdisciplinary foundation for careers at the intersection of education and technology.
Combine Data Science & Learning
Integrate data science methods with learning and motivation theory to design smarter educational solutions. Gain the tools to analyze, predict, and improve learner outcomes across education and training environments.
Learn From Leading Faculty
Study with expert faculty from USC Rossier and Viterbi who bring deep experience in learning science, data analytics, and educational technology. Gain insights from researchers and practitioners shaping the future of learning.
Build In-Demand Skills
Gain hands-on experience in programming, data analysis, machine learning, and instructional design to prepare for roles such as data analyst, LMS analyst, and edtech specialist.
Curriculum
Bridge data science and education to improve learning outcome
Learn to apply learning science and data-driven strategies to create effective educational solutions across schools, companies, and organizations.
Principles of Programming for Data Science
DSCI 510 | 4 Units
Principles of Programming for Data Science
DSCI 510 | 4 Units
Implementing Principles of Instructional Design
EDUC 595 | 3 Units
Implementing Principles of Instructional Design
EDUC 595 | 3 Units
Data Science at Scale
DSCI 550 | 4 Units
Data Science at Scale
DSCI 550 | 4 Units
Designing Assessment and Evaluation
EDUC 582 | 2 Units
Designing Assessment and Evaluation
EDUC 582 | 2 Units
Program Outcomes
92% Percentage of EC alums who said their USC Rossier education prepared them to be more effective in their career.
Get help funding your degree.
Applicants are automatically considered for merit-based scholarships — there’s no need for a separate application. Scholarship availability may be limited and awarded on a first-come, first-served basis, so applying sooner rather than later is in your best interest. Recipients are selected based on academic achievement, commitment to the USC Rossier mission, and other factors. All scholarships are awarded upon admission.
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Lead change in ways that will improve academic opportunities and outcomes for all students.