国际学生入学条件
You will need the following to complete your application
Contact Information
Colleges attended
Selection of your desired program
CV or resume
Statement of Purpose and objectives
Unofficial transcripts for ALL higher education institutions attended
Three Letters of Recommendation from individuals familiar with your academic or professional background
GRE GMAT and or MCAT scores
The Admissions Review Committee will take into account many factors for admissions decisions Official GRE GMAT or MCAT scores should be at the 50th percentile or better
The following exams and minimum scores are accepted as proof of English proficiency -
TOEFL minimum score of 80 iBT
In-person and at-home online exam scores accepted TOEFL Essentials and My Best Test scores are not accepted.
IELTS minimum score of 6.5 overall band.
In-person and at-home online exam scores accepted.
PTE minimum score of 54.
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IDP—雅思考试联合主办方

雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:80
- 托福笔试总分:550
- 其他语言考试:Duolingo (DET): minimum score of 110
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
Housed in UC's department of Environmental Health with collaborations throughout the College of Medicine and Cincinnati Children's Hospital Medical Center, the Division of Biostatistics and Bioinformatics offers exciting training and research opportunities in biomedical data sciences. Training programs in the division combine rigorous statistical and computational education rooted in the probability theory and computer science with the exposure to a broad range of biomedical research applications.<br><br>Biostatistics is a data science field concerned with application of statistical reasoning in the biomedical and public health research. Biostatisticians develop statistical methodologies that are tailored to address specific biomedical data analysis problems. Biostatisticians are also members of interdisciplinary biomedical research teams whose role is to ensure optimal use of data to answer specific biomedical research questions.<br><br>Bioinformatics is an interdisciplinary field that develops methods and computational tools for understanding high-dimensional biomedical data. Bioinformatics combines computer science, statistics, mathematics, and engineering to manage, process and analyze biomedical data. There and many overlaps between Biostatistics and Bioinformatics in terms of methodologies utilized and domains of application in biomedical research. However, Bioinformatics tends to be more focused on the analysis and interpretation of high dimensional datasets such as genomics, proteomics and metabolomics. Furthermore, Bioinformatics research objectives often involve development of software tools that facilitates management and analysis of large and complex datasets.
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