健康信息学哲学博士-学习健康系统的数据科学和信息学

用于学习卫生系统的数据科学和信息学课程以工程学院，公共卫生学院和统计学院联合提供的备受推崇的数据科学计划为基础。它还利用了护理学院的护理和健康信息学课程的广度。它要求学生满足数据科学硕士课程的要求，并通过一系列必修基础课程的形式，使用其选修课程来接触健康科学和保健知识：健康信息学I和实验室基础，转化基础健康信息学研究所提供的生物信息学I和实验室以及美国卫生保健系统。MS最高项目将解决与健康科学或医疗保健相关的研究问题。通过提供附加课程，重点是高级分析及其在医疗保健中的应用，可以在博士学位级别上加强医疗保健
The Data Science and Informatics for Learning Health Systems track builds on the highly regarded data science program offered jointly by the School of Engineering, School of Public Health, and School of Statistics. It also takes advantage of School of Nursing's breadth of nursing and health informatics courses. It requires students to fulfill the requirements of the Masters in Data Science program and use their elective courses to gain exposure to health sciences and health care in the form of a suite of required foundational courses: Foundations of Health Informatics I and Lab, Foundations of Translational Bioinformatics I and Lab and the US Health Care System offered by the Institute for Health Informatics. The MS capstone project will address a research question related to health sciences or healthcare. Specialization to the health care field intensifies at the PhD level by offering additional courses focusing on advanced analytics and its applications to healthcare. The thesis research will naturally relate to health science or healthcare.