国际学生入学条件
Transcripts from all undergraduate and graduate schools attended
At least three letters of recommendation from research mentors, teachers, or advisors
Graduate Record Examination (GRE) scores - The verbal, quantitative, and analytical writing scores must be reported.
International students requiring visas will also require the Test of English as a Foreign Language (TOEFL).
A curriculum vitae (CV) can be included and will be reviewed by the admissions committee, but this is not a required component of the application. You can upload your CV in the Documents section of the application system in pdf format.
In general, applicants should have at least a 3.0(B) grade point average (or the equivalent) in their undergraduate work. Some departments at Rice University require scores on the aptitude portion of the GRE (Graduate Record Exam) or the GMAT (Graduate Management Admissions Test) as an appropriate advanced test, these should be sent directly to the admitting department. Applicants whose native language is not English must take the TOEFL test and should score at least 90 on the iBT (internet-based) TOEFL, at least 600 on the paper-based TOEFL or score 250 on the computer-based TOEFL. For students who choose to take the IELTS in lieu of TOEFL, the minimum score is 7.
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雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:90
- 托福笔试总分:600
- 其他语言考试:NA
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
SSPB研究生计划位于生物科学与生物工程研究所(IBB)中,旨在为学生提供解决棘手的研究问题并将其发现应用于改变农业,电子技术的生物技术发展所需的知识和工具。 ,能源,环境,信息存储,医药和制造业。我们的计划是由工程与自然科学学院的合作伙伴共同建立的,他们共同相信,生物学研究和生物技术的突破性发现现在需要解决问题的方法,将实验生化,细胞和遗传学方法与计算设计,模拟和建模相结合。
The SSPB Graduate Program, housed in the Institute of Biosciences and Bioengineering (IBB), is designed to provide students the knowledge and tools that they will need to solve hard research questions and to apply their discoveries to the development of biotechnologies that transform agriculture, electronics, energy, the environment, information storage, medicine, and manufacturing. Our program was established collaboratively by faculty in Engineering and Natural Sciences who share the belief that breakthrough discoveries in biological research and biotechnology now require problem-solving that integrates experimental biochemical, cellular, and genetics approaches with computational design, simulation, and modeling.
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