国际学生入学条件
For admission to graduate study, an applicant must have a U.S. bachelor's degree or the equivalent of a U.S. bachelor's degree prior to enrollment.
Transcripts and Degrees must be in English (all post-secondary education, including transcript keys).
Unofficial transcripts should be uploaded to your graduate application. The minimum requirement for admission consideration is the completion and award of a four year U.S. bachelor's degree, or its equivalent, by the time of planned enrollment.
Personal Statement
Resume or curriculum vitae
Two letters of recommendation
Portfolio, if required by department
TOEFL score of 88 iBT
IELTS score of 6.5
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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:88
- 托福笔试总分:160
- 其他语言考试:Duolingo score of 120<br>PTE score of 59
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
ECSE offers Bachelors, Masters, and Doctoral degrees in Electrical Engineering, and Computer, and Systems Engineering. ECSE curriculum builds a broad foundation in math, science, humanity and social science, and multiple disciplines in engineering, while allowing flexibility in electives to pursue specialized concentrations. ECSE students are trained in engineering fundamentals and application-specific domains with emphasis on hands-on education, design experience, and teamwork. ECSE faculty conducts cutting edge research across multiple disciplines and physical scales, including semiconductor design and processing, smart sensors and devices, 5G communication, and cybertphysical systems such as smart grid and collaborative robots. ECSE research is powered by federal funding agencies including NSF, NIH, ONR, ARO, AFOSR, DOE, state funding agencies including NYSTAR and NYSERDA, private foundations, and industry partners.<br><br>This area deals with the design and implementation of computer systems from both hardware and software aspects, aiming to improve the speed performance and energy efficiency, and lower the cost of future computing infrastructure. Students may pursue programs of study focusing on computer architecture, heterogeneous and domain-specific computing for applications like AI and data science, VLSI design, and memory and data storage systems.
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