Master of Science in Healthcare Data Analytics (MS HCDA)

The Master of Science (MS) in Healthcare Data Analytics (HCDA) takes a multidisciplinary approach to train individuals with the analytical, informatics and computational skills required to be competitive for health analytics and data science positions in the current and future job markets. The competency-based curriculum provides students with advanced skills in data aggregation methods, statistical methods, data mining and forecasting algorithms, visualization techniques, and data management, including database skills and database design techniques. At the conclusion of the program, students can expect to be proficient or advanced in multiple state-of-the-art software tools. In addition to having a deep understanding of complex data analytic approaches, such as data mining techniques, students will gain expertise in meaningful interpretation of the results. In the final semester(s) of their program, students will be required to complete a thesis/capstone project to synthesize and apply knowledge of the methods and theories gained during coursework.