Healthcare Data Science (MS) at University of Southern California

An MS applying data science methods to healthcare data, with a core in data science and healthcare plus electives in both areas. Students learn machine learning, privacy, data visualization and data management, and work with clinical workflow and medical technology systems such as imaging and electronic medical records. Students with sufficient programming knowledge may test out of DSCI 510 through an entrance exam.

Department: Interdisciplinary Data Science and Biomedical Engineering (program directors)  |  Duration: 32 units  |  Study mode: full-time  |  Location: Los Angeles, CA, United States

What you will study

Five core courses (Integration of Medical Imaging Systems, Medical Diagnostics, Therapeutics and Informatics Applications, Principles of Programming for Data Science, Introduction to Computational Thinking and Data Science, Data Science at Scale) plus a practicum and electives, with at least one data science and one health science elective (e.g. Machine Learning for Data Science, Data Mining, Principles of Epidemiology, Introduction to Biomedical Informatics). Students with a computer science background may substitute data management, machine learning and data mining courses.

Career pathways

Improving business processes across hospitals, insurance companies, public health agencies and other parts of the healthcare ecosystem.

Official programme page