生物信息学理学硕士（Master of Science in Bioinformatics）-印第安纳大学伯明顿分校申请条件

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生物信息学理学硕士

Master of Science in Bioinformatics

印第安纳大学伯明顿分校

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学历文凭
Masters Degree
专业院系
生物信息学
开学时间
课程时长
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国际学生入学条件

Applicants must have received a four-year bachelor's degree or equivalent degree in computer science, informatics, or a related field from an accredited college or university. In addition, applicants must have the necessary academic preparation to complete graduate level courses in the program - for example, for computer science degrees, you should have had courses in data structures, machine organization and assembly language, and discrete structures.
Applicants should have successfully demonstrated undergraduate coursework in the following:
Foundational concepts of computer science
Principles of computer organization and operating systems
Data structures and algorithm analysis
Computer architecture, compilers and networks
Programming language such as Java, C, or C++
All non-native English speakers must be proficient in English. Many of our students score 100 or above for TOEFL, 7.0 or above for IELTS, and 120 or above for Duolingo.

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雅思考试总分

7.0

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雅思考试指南

雅思总分：7
托福网考总分：100
托福笔试总分：160
其他语言考试：120 or above for Duolingo.

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课程简介

生物信息学硕士是融合生物科学和计算机技术的独特硕士学位，是生物学，化学，数学和统计学，计算和信息学以及工程学交叉学科的跨学科课程。预计进入该计划的学生将完成生命科学或定量学科的本科专业。该学位需要额外的培训，并在生命科学和科学程序设计方面表现出出色的能力。MS程序旨在为学生提供开发，评估和部署生物信息学和计算生物学应用程序的技能和知识。该计划旨在使学生为在生物技术领域的就业做好准备，在过去十年中，对具有定量和计算技能的知识渊博的生命科学家的需求激增。
Data is driving advances in all areas of biology, agriculture, and biotechnology, as well as applications like personalized medicine. In the two-year Master of Science in Bioinformatics, you will learn to model, analyze, and manage massive amounts of biological data.<br><br>Also known as computational biology, bioinformatics is a fast-growing field. Our interdisciplinary program emphasizes computation and informatics but also integrates knowledge from biology, statistics, and related areas. You will be part of a tight-knit program, study in one of the nation's top technology schools and biology departments, and have access to leading-edge resources like the Big Red II supercomputer.

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