Data Science for Learning Applications (MS)

The Master of Science in Learning and Data Science is designed for individuals who seek to merge data science with learning and motivation research in order to create data-enhanced education. Upon completion of the program, graduates are prepared for such roles as data analysts, learning management systems analysts and technology specialists in the education sector. Their competencies encompass data collection design and implementation, data analysis and application to enhance instructional design, learner support and educational outcomes. The program comprises 32 units, with students completing 16 units in the Rossier School of Education and 16 units in the Viterbi School of Engineering.