国际学生入学条件
Upload or mail your academic records from all secondary schools attended. If your transcripts, diploma, or any other academic documents are not in English, you MUST include an official English translation.Include any AP, IB, and/or GCE scores
Submit two (2) letters of recommendation from academic references.
Submit a copy of your passport.
Submit a bank statement and Affidavit of Financial Support if you are seeking an F-1 visa.
Bank statements must indicate a balance that will cover your first year of tuition and living expenses.
The Affidavit of Support must be in the name of the sponsor on your bank statement. Multiple bank statements require an affidavit from each sponsor. Self-sponsored applicants do not need an affidavit.
Fall applicants must have financial documents dated after February 1, Spring applicants, documents dated after August 1
Solvency certificates are not acceptable.
TOEFL iBT - 70, IELTS - 6.0.
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IDP—雅思考试联合主办方

雅思考试总分
6.0
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雅思考试指南
- 雅思总分:6
- 托福网考总分:70
- 托福笔试总分:160
- 其他语言考试:Pearson (PTE)- 53
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
计算机科学与工程学院提供药学生物统计学的本科证书。颁发证书是对成功完成统计学和统计学编程的所有必修学术课程和实验室工作的认可。主题和顺序是与行业咨询委员会(IAC)以及CS和数学系商定的主题和顺序。为参与者准备将统计方法应用于卫生保健问题的定量分析的准备。它面向需要设计医学实验以及分析和解释日益复杂的医疗保健数据的政府机构以及制药公司,研究医院,公共卫生机构和其他医学研究组织中的专业人员。课程要求学生完成15个学分才能获得Pharmaceutical Biostatistics的证书。
School of Computer Science and Engineering offers a Undergraduate Certification in Pharmaceutical Biostatistics. Certificate is awarded in recognition of the successful completion of all required academic courses and laboratory work in statistics and statistical programming. The topics and sequences are those agreed upon with the Industry Advisory Committee (IAC) and among CS & Math faculty.The objective of the certificate is to prepare participants to apply statistical methods to quantitative analysis of health care issues. It is aimed at professionals in government agencies as well as in pharmaceutical companies, research hospitals, public health agencies and other medical research organizations with the need to design medical experiments and to analyze and interpret increasingly complex health-care data.
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