国际学生入学条件
All offAll official Transcripts. A bachelor’s degree or its foreign equivalent from an accredited college or university. Official transcripts of your grades.
Three letters of recommendation. Applicants are required to upload a transcript (may be unofficial at this time) including the key from all attended colleges or universities.
The transcript must show the name of the student, name of the issuing institution, name of courses taken, and the grades received in those courses.
The Graduate School does not have a minimum TOEFL or IELTS score requirement. If you are offered admission and accept our offer and have scored below a 27 on the Speaking sub-section of the TOEFL iBT or below an 8.0 on the Speaking sub-section of the IELTS you will be required to take an English placement test at the start of the fall term. Students who do not pass the test will be required to enroll in English Language Program classes.
GRE
General Test - optional/not required
Additional departmental requirements
Ph.D. applicants are required to select a research area of interest when applying.
Optional: Applicants may submit a statement with their application, briefly describing how their academic interests, background, or life experiences would advance Princeton’s commitment to diversity within the Graduate School and to training individuals in an increasingly diverse society. Please submit a succinct statement of no more than 500 words.
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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:60
- 托福笔试总分:160
- 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
Our society is increasingly transitioning towards an information-centric paradigm, enabled by pervasive networked computing devices. This has brought concerns about security and privacy to a forefront, attackers can exploit vulnerabilities in our systems and protocols to compromise our critical infrastructure as well as end-user devices. By leveraging our strengths in areas ranging from communication networks and computer architecture to information systems and machine learning, electrical engineering researchers at Princeton are in a unique position to counter security and privacy threats. We are designing secure and trustworthy computing architectures for mobile and wearable devices, medical devices and smart cars. We are creating privacy-preserving and secure protocols for communication between devices, including anonymity systems such as Tor and security mechanisms for Internet routing. We are investigating approaches that protect the privacy of user data, with applications for finance, medical records, social networks and cloud computing. Finally, we are building the mathematical foundations of security and privacy, including information theoretic security, adversarial machine learning, and privacy-utility trade-offs.
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