Master of Science in Interdisciplinary Studies - Health Data Analytics

University of North Texas

Create actionable insights from large amounts of data and forge new solutions to improve patient care and create affordable treatment options. Driven by federal requirements and the demand to improve the quality of health care delivery in the United States, the health care industry generates and stores massive amounts of electronic data related to patient care, compliance, regulatory and billing requirements, and medical research. In addition, the data includes a wide range of data types and display formats that must be managed and analyzed quickly and effectively to facilitate critical decision making for both individuals and health care delivery organizations. The opportunity to improve health care quality, lower costs and accelerate research collaboration lies in the hands of those capable of synthesizing and analyzing massive data sets to extract the insights necessary for informed decision-making.The health data analytics concentration (an intensive interdisciplinary program that blends course work in health care administration, data science and computational modeling) prepares graduates to assume leadership roles in this emerging discipline.In this 30 credit online program, which can be completed in less than two years, students will develop a broad understanding of the various methods, software tools and topical expertise needed to discover meaningful patterns in health-related data and effectively communicate the implications.Students will work with the program advisor to identify a specialization field. These courses must be approved by the program coordinator and the department in which the courses are located.