生物信息学理学硕士-动物科学
Master of Science in Bioinformatics - Clinical Research

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

研究生课程旨在提供基础和应用动物科学的基础培训。选择专业领域后,学生将在学术顾问和咨询委员会的指导下设计学习计划,这将有助于发展适合学生职业和职业目标的知识和技能。学生通常为大学,政府机构,私营企业,大学教学,行业,社区,公共卫生教育计划或动物行业的基础或应用动物科学职业做准备。
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><br>The Clinical Research Emphasis of the Bioinformatics Degree Program trains aspiring researchers who want to play key roles in research as part of a larger interdisciplinary team. Our graduates will become effective team members who answer important public health questions and who improve the quality of medical care through multidisciplinary approaches to education, research, and development in the field of clinical research.<br><br>The Clinical Research Emphasis places a high emphasis on understanding how hypotheses are formulated into researchable questions, how clinical studies are designed and implemented, how to best capture the information generated by patient care and clinical studies, and the statistical methodology needed for clinical research and improved bedside care.
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