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Doctor of Philosophy in Bioinformatics

佐治亚理工学院

Georgia Institute of Technology

US美国

  • 学历文凭

    学历文凭

    Ph.D.

  • 专业院系

    专业院系

  • 开学时间

    开学时间

  • 课程时长

    课程时长

  • 课程学费

    课程学费

    汇率提示

国际学生入学条件

The successful applicants are expected to meet the following requirements:
• General GRE scores above the cut-off level established by the home college. (Some home schools have waived the GRE.)
• GPA of at least 3.2 and/or top 5% in class standing.
• Taking subject GRE tests in Math and/or Biology is optional.

Also the applicants are suggested to have one of the following qualifications:
1. MS in Bioinformatics

2. BS or MS in Bioengineering, Plus:
• programming skills i.e. in Perl or C languages (recommended sources Beginning Perl for Bioinformatics by James D. Tisdall and Developing Bioinformatics Computer Skills by Cynthia Gibas, Per Jambeck)

3. BS or MS in Biology, Plus:
• programming skills i.e. in Perl or C languages (recommended sources Beginning Perl for Bioinformatics by James D. Tisdall and Developing Bioinformatics Computer skills by Cynthia Gibas, Per Jambeck)
• three semesters of calculus, two semesters of physics

4. BS or MS in Computer Science, Plus:
• two semesters of Biological science or equivalent to knowledge of Molecular Biology at a level of Genes VII by Benjamin Lewin
• three semesters of calculus

5. BS or MS in Physics, Chemistry, Biochemistry, Mathematics, Engineering, Plus:
• programming skills i.e. in Perl or C languages (recommended sources Beginning Perl for Bioinformatics by James D. Tisdall and Developing Bioinformatics Computer Skills by Cynthia Gibas, Per Jambeck)
• two semesters of Biological science or equivalent to knowledge of Molecular Biology at a level of Genes VII by Benjamin Lewin


IELTS Requirements 7 (minimum band score for Reading, Listening, and Speaking is 6.5, minimum band score for Writing is 5.5)
TOEFL Requirements
Minimum Score Required:
Internet-based: 100 with minimum section scores of 19
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  • 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:NA

CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。

课程简介

Georgia Tech's Ph.D. Program in Bioinformatics prepares graduate students to be leaders in the field of bioinformatics and computational biology. The Ph.D. in Bioinformatics is an interdisciplinary program spanning several academic departments at Georgia Tech. Bioinformatics is emerging as a strategic discipline at the frontier between Biology, Biochemistry, Biomedicine, Bioengineering, Computer Science, and Mathematics, impacting fundamental science, medicine, biotechnology, and society. With its broad mission statement, this program at Georgia Tech has the following focus/strength areas: Development of software tools, algorithms for biological sequence and structure analysis and function prediction, such as gene identification and protein structure prediction, reconstruction of evolutionary history of genomes and proteomes, Application of bioinformatics to fundamental biology and systems biology and Application of bioinformatics to disease diagnosis, classification, prognosis, and treatment.<br><br>The mission of the Georgia Tech Bioinformatics PhD Program is to educate and prepare graduate students to reach the forefront of leadership in the field of bioinformatics and computational biology, and to integrate research and education on the use of information technologies in biology and medicine. Thus, the program leading to a PhD in Bioinformatics is an interdisciplinary program spanning a variety of academic departments at Georgia Tech.
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关于佐治亚理工学院

佐治亚理工大学是全美最好的10所公立大学之一。不仅如此,GIT的大部分工程学专业都是全美最好的。每年,GIT投入到科研研究与教学的经费可以达到5.25亿美元,是全美最舍得为学术项目砸钱的大学之一。而正因为GIT对于学术研究如此重视,使得学生与教授在课堂上交流的机会显得贵如春雨。用GIT学生自己的话说,如果你选择在任意一堂课上睡觉,那么你就要做好期终挂科的思想准备。佐治亚理工的工业工程专业排名全美排名第一。相应的,机械工程、信息技术、材料工程、建筑等专业也享有非常高的专业排名。从5200多个作品中脱颖而出的曼哈顿“911”纪念碑就是来自Rochester建筑学校友的设计。GIT大概有23%的课堂学生人数超过50人,再加上教授们大多忙于各自的研究项目,使得本科阶段自身的发奋非常重要。在校生普遍反映课程安排很严格,但只要你“熬过来”,等待你的就是一份不菲的薪水。忘记循规蹈矩,GIT的学生们很骄傲的说他们已经做到了。“偷T”是GIT的众多“高科技”传统的其中一个:学生们将巨大的字母T从管理楼那里移走,然后通过某种会让校园管理员们尴尬的方式归还给学校。后来管理员们开始在T上放置警钟、动作感应器和热感应器,但是“对于GIT的工程师们来说,这都不叫个事儿。”在这里,自我引导、远大的目标和积极性会带你走的更远,对绘图计算器的熟练应用和对高度复杂的软件算法的热爱也会让你走得更远。

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