生物医学和健康信息学理学硕士

生物医学和健康信息学理学硕士是一个具有两个选择的新计划：MS Plan-A（论文）或MS Plan-B（非论文）。通常的全日制课程时间为16个月，而学生可以选择在11个月内集中学习非论文课程。两种选择总共需要30个学时，其中400级或更高级别需要18个学时。所有参加该计划的学生都是从B计划的硕士生开始的。通过咨询会议，您可以确定计划A计划是否更适合您的职业和研究目标。硕士计划A适用于可能希望继续攻读博士学位课程的学生。它需要总共30个学时，包括24个学分的课程工作和6个学分的开发和介绍论文，并由指导/咨询
Use big data for the good of health. At Case Western Reserve University School of Medicine, our outstanding faculty mentors will equip you to work with data from electronic health records, clinical trials, cohort studies, geo-mapped incidence information for diseases and more. Youll join the ranks of those who manage, integrate, analyze and interpret data to catalyze research, refine clinical care and shape public policy. In this versatile 16-month program, broad coursework, flexible electives and mentorship provide you with a master's degree tailored to your own interests and career trajectory. You can choose to pursue a thesis track (Plan A) or complete a graded internship/practicum report for an 11-month intensive pathway (Plan B). A part-time option is also available. The use of large, complex, and varied data sets in clinical care and biomedical research presents significant opportunity. There is a great need for professionals who can manage, integrate, analyze, and interpret data to make recommendations that accelerate research, improve clinical care, or shape public policy.<br><br>Increasingly sophisticated data comes from electronic health records (EHR), clinical trials, cohort studies, and geo-mapped incidence information for a variety of diseases. Our program will equip you to work with and integrate these and other diverse sources. We also emphasize the professional skills needed to collaborate with, manage, and/or lead cross-disciplinary teams. You will gain the grounding and education required to define thoughtful inquiries, apply sophisticated computational approaches, interpret results, and offer informed advice.<br><br>Our students are prepared to serve in a variety of roles from designing studies, integrating large complex data sets, analyzing data, managing projects and teams, leading process improvement in clinical settings, or advancing research that impacts prevention and treatment. They find that our program is an important step supporting career growth in academia, hospitals/health systems, industry, or government.