Doctor of Philosophy in Computing and Information Sciences- Security and Privacy

罗切斯特理工学院

US

QS排名:

  • 学历文凭

    Ph.D.

  • 专业院系

    计算机和信息系统安全

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

To be considered for admission to the doctorate program in computing and information sciences, candidates must fulfill the following requirements:
Complete an online graduate application. Refer to Graduate Admission Deadlines and Requirements for information on application deadlines, entry terms, and more.
Submit copies of official transcript(s) (in English) of all previously completed undergraduate and graduate course work, including any transfer credit earned.
Hold a baccalaureate degree (or US equivalent) from an accredited university or college. Since the program encompasses a wide variety of disciplines, students with diverse backgrounds (e.g.: engineering, science, humanities, fine arts, business, and disciplines with sufficient computing backgrounds) are encouraged to apply.
Recommended minimum cumulative GPA of 3.0 (or equivalent).
Submit a current resume or curriculum vitae.
Two letters of recommendation are required. Refer to Application Instructions and Requirements for additional information.
Not all programs require the submission of scores from entrance exams (GMAT or GRE). Please refer to the Graduate Admission Deadlines and Requirements page for more information.
Submit a personal statement of educational objectives. Refer to Application Instructions and Requirements for additional information.
Submit professional or research paper sample(s), if available.
Have completed at least one full year of study in programming and computing concepts, strong mathematical background in subjects such as discrete mathematics, and probability and statistics, and aptitude, vision, and experience (if applicable) in computing and information sciences related research.

IELTS - 6.5
tofel IBT - 88
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雅思考试总分

6.5

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  • 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:PTE Academics - 60
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课程简介

As more of our world gets connected online, we face growing risk of malicious attacks that can steal our data and our money, spy on us through our devices, undermine our infrastructure, and even take over our cars and put us in physical danger. We seek methods for protecting security and privacy in settings like these, leveraging techniques ranging from advanced cryptography to machine learning to Internet measurement and beyond.
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