计算机科学哲学博士-生物信息学
Doctor of Philosophy in Computer Science - Bioinformatics
  • 学历文凭

    Ph.D.

  • 专业院系

    生物信息学

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

A Master's degree in Computer Science with a 78% average.
Student with an undergraduate degree in Computer Science may apply for admission directly to the PhD program. Successful applicants will have an outstanding academic record, breadth of knowledge in computer science, and strong letters of recommendation.
PhD applicants may be admitted into the Master of Mathematics (MMath) program. Like all MMath students, they will have the option to transfer into the PhD program before completing the master's thesis if their performance warrants.
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Supplementary information form (SIF)
The SIF contains questions specific to your program, typically about why you want to enrol and your experience in that field. Review the application documents web page for more information about this requirement
If a statement or letter is required by your program, review the writing your personal statement resources for helpful tips and tricks on completion
Transcript(s)

References
Three references are required, at least two academic
Proof of English language proficiency, if applicable
TOEFL 93 (writing 22, speaking 22), IELTS 6.5 (writing 6.0, speaking 6.5)
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雅思考试总分

6.5

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  • 雅思总分:6.5
  • 托福网考总分:93
  • 托福笔试总分:160
  • 其他语言考试:PTE (Academic) - 63 (writing 65, speaking 65)
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课程简介

科学家们最近开发了非常成功的工具,旨在探测活细胞的内部运作。从DNA和蛋白质分子中获取序列信息的技术与诸如X射线设备和核磁共振仪之类的工具协同工作,以揭示这些分子的三维构象。最新技术
The David R. Cheriton School of Computer Science has an international reputation in teaching, academics, research, and employment. We attract exceptional students from all over the world to study and conduct research with our award-winning faculty. You can participate in research projects in a wide variety of topics with our internationally acclaimed researchers. Our research spans the field of computer science, from core work on systems, theory and programming languages to human-computer interaction, DNA and quantum computing to theoretical and applied machine learning, just to name a few. As a graduate student, you will: Access research-intensive lab spaces. Gain the opportunity to publish your work in top conferences and journals. Present at premier conferences in front of peers, industry leaders, researchers, and experts in your field. As a graduate student, you will have the independence to pursue your preferred area of research with a faculty If you want to continue pursuing research and expand your learning, you will work with a supervisor to develop a thesis. As a graduate student at the PhD level you will be expected to conduct meaningful research that expands the scope of your graduate work.<br><br>Scientists have developed high-throughput tools to probe the inner workings of living cells. Technologies that obtain sequence information from DNA, RNA and protein molecules work in conjunction with tools such as X-ray devices, nuclear magnetic resonance machines and cryo-electron microscopy to reveal the three-dimensional conformation of these molecules. More recent technologies such as next-generation DNA, RNA and protein sequencing along with mass spectrometry strive to investigate the interactions between the various proteins and genes within a cell. The result of these investigations is the production of huge amounts of data. The objective of bioinformatics is to store, retrieve, manipulate, visualize, analyze, integrate and interpret data from a variety of data sources so we can fully understand the vast array of processes that occur in living cells, as well as understand Earth's biodiversity by revealing species, together with their dynamics and interactions. For human health, understanding the disease pathway is essential to treat the more than 6,000 genetic disorders along with cancers and Alzheimer's disease and many communicable diseases. Applications of this knowledge include drug design and medical diagnostic procedures. Similarly, understanding the biological processes of other species including microorganisms will provide insights relevant in agriculture, biotechnology and fundamental biology.
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201

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关于滑铁卢大学

滑铁卢大学是加拿大滑铁卢市的一家著名大学,是一所以研究为主的中等大小的公立大学,创建于1957年。以数学、计算机科学、工程学而闻名。该校位于安大略省的西南面的滑铁卢市,占地面积约为1000英亩。滑铁卢大学成立至今,仅数十年便跻身加拿大名校之列,是加拿大发展最快的学校。2011年到2013年,该校一直稳居麦克林杂志评选的加拿大综合性大学排名的第三位,是北美地区最优大学之一,其数学,计算机科学和工程学科教学水平居世界前列。特别是做为北美地区第一个经认可建立数学系的大学,拥有世界上最大的数学系以及世界上最大的合作办学项目。学校共授予100多个本科学位专业,28种硕士及博士学位专业,学校的代表队曾多次获得ACM 国际大学生程序设计竞赛的冠军。

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