生物信息学理学硕士

MS in Bioinformatics是一个为期两年的专业计划，着重于计算和信息学，但也融合了生物学，数学和相关领域的知识。它为学生准备从事生物信息学职业或攻读博士学位奠定了基础。程序。我们的理科硕士学生有望（但不是必需）至少具有信息学和生物学的入门知识，包括：大约6个学时的生物学本科课程，涵盖分子生物学，遗传学和进化。大约6个学分的计算机科学或信息学本科课程工作，涵盖编程，离散结构和数据结构。学生还必须在第二年完成为期一年，为时6个学时的顶点研究项目，包括向公众进行口头陈述和提交书面报告。这些项目通常
Marquette University's master of science in bioinformatics program is an ideal fit for students with undergraduate degrees with biology, medical science, mathematics, engineering, or computer science. This master's program is offered jointly with the Medical College of Wisconsin (MCW) for an improved, convenient curriculum. The entire program consists of either 30 credits with a thesis or 33 credits with a short essay. We offer classes both during the day and in the evenings with both full- and part-time options available. Whether you are a new college graduate or a working professional looking to advance your career, our program can fit your needs. Bioinformatics deals with discovering knowledge in biology or medicine present in large data sets. As such, it is an interdisciplinary science that is always in rapid flux as the methods and the nature of the data sets change. Bioinformatics clearly involves the application of computers for storage, organizing, and analyzing the data. But it also involves statistics, probability, mathematics, and related disciplines to create the analysis algorithms and to make sense of the results. Effectively interacting and collaborating with the content-area scientists also requires developing deep knowledge and understanding in those areas to be able to interpret the results and communicate them effectively to the scientific community.<br><br>Designed to equip graduates with a distinctive blend of theoretical and computational skills and practical experience for employment in industry, research laboratories and institutions of higher education. The MS in bioinformatics also can serve as a starting point for doctoral work through our Computational Sciences program. Students who have graduated from this program work in laboratories in the pharmaceutical industry, biotech companies and academic settings. Several have continued on for Ph.D.'s in the area such as Ph.D. in computer science and Ph.D. in computational sciences.