生物信息学理学硕士-临床研究
Master of Science in Bioinformatics - Computational

密苏里大学堪萨斯分校

US

QS排名:

  • 学历文凭

    Masters Degree

  • 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

Applicants for admission to the M.S. Bioinformatics program must have earned, or will soon earn, a baccalaureate degree from a nationally accredited college or university.
It is preferred that baccalaureate degrees be in a scientific discipline, or that the applicant holds a health-related professional degree.
It is preferred that applicants have earned a cumulative GPA of 3.0 or higher.
TOEFL Scores: A minimum score of 550 (paper-based exam), 213 (computer-based exam) or 79 (Internet-based exam) is required.
IELTS Scores: A minimum score of 6.0 is required for graduate-level study at UMKC.
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雅思考试总分

6.0

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  • 雅思总分:6
  • 托福网考总分:79
  • 托福笔试总分:550
  • 其他语言考试:Pearson Test of English (PTE) - 53<br>Duolingo English Test (DET) - 105
CRICOS代码:
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课程简介

生物信息学学位课程的临床研究重点是训练有抱负的研究人员,他们希望在更大的跨学科团队中扮演重要角色。我们的毕业生将成为有效的团队成员,回答重要的公共卫生问题,并通过多学科的方法对临床研究领域的教育,研究和开发进行改进,从而提高医疗质量。<br> <br>临床研究重点放在高度重视理解如何将假设化为可研究的问题,如何设计和实施临床研究,如何最好地捕获患者护理和临床研究产生的信息以及临床研究和改善床边护理所需的统计方法。
The Master of Science in Bioinformatics supports the education of students interested in a career in bioinformatics or clinical research. Our graduates master core competencies that allow them to participate in biological research, clinical and population health research, or research to develop innovative information systems. We work passionately to equip the next generation of health researchers by emphasizing patient-oriented research in the context of state-of-the-art medical informatics.<br>The Computational Emphasis specializes in the development and use of the next generation of bioinformatics tools and software.<br>Graduates will be effective members of multi-disciplinary teams in industry or academia.<br>Some of the graduates will engage in advanced studies in informatics.<br>Learning Outcomes:<br>Graduates of the Computational Emphasis will have the skills to use and develop bioinformatic tools and resources.
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