生物统计学理学硕士-健康数据科学

与健康和生命科学相关的数据从未像现在这样具有挑战性和复杂性。在卫生领域及其他领域，对具有严格方法学培训，现代计算和协作经验以及参与领域研究的生物统计学数据科学家的需求很高。生物统计学硕士健康数据科学专业的学生将接受有关生物统计学理论和方法的深入培训，并辅以现代数据科学技术的专门培训。数据科学本质上是跨学科的。没有数学，计算机科学，统计学和应用领域的知识，就不可能完成它。生物统计学硕士研究生课程中的健康数据科学课程将为学生提供有关统计学所处数据科学关键领域的深入技能。此外，学生还将熟悉数据科学的所有其他方面
Biosystems engineers apply the basic sciences, mathematics, engineering sciences, and technology to design sustainable solutions to problems with a critical biological component. Biosystems engineers work to ensure an adequate and safe food supply while efficiently utilizing natural resources and protecting the environment. Specific application areas include food and biomass production systems, food processing systems, processing systems for utilization and conversion of biological products, water and waste management systems, natural resource and environmental protection, and a range of other biological challenges that require engineering expertise. The department offers both Master of Science and Doctor of Philosophy degree programs with majors in biosystems<br> engineering.<br>The Master of Science degree program in biosystems engineering is designed to prepare graduates for advanced career opportunities that require disciplinary expertise beyond that available in the Bachelor of Science degree. The program is available under Plan A (thesis) and Plan B (without thesis). Plan A introduces the student to research methods, and the student is expected to execute, analyze, and publish an original research project under the guidance of an advisor. Plan B is suited for those who do not plan a research-related career, but desire additional skills and knowledge obtained through advanced course work.