Doctor of Philosophy in Cybersecurity, Data Analytics and Human-Machine Interface
  • 学历文凭

    Ph.D.

  • 专业院系

    仪表技术

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国际学生入学条件

Applicants must hold a bachelor's degree from a program that is accredited by the Engineering Accreditation Commission of the Accreditation Board for Engineering and Technology at the time of graduation or provide satisfactory evidence of an equivalent academic background to The University of Akron.

Applicants with a Master of Science degree must provide satisfactory evidence of an equivalent engineering baccalaureate background to the Dean.

Applicants must submit official undergraduate transcripts, undergraduate grade point average, three letters of recommendation, statement of purpose, and resume.

Personal statements or descriptions of post-baccalaureate experience that provide a rationale for proposed graduate study may also be submitted.

Applicants must submit official results of the analytical writing and quantitative portions of the GRE.
The GRE requirement may be waived for students holding degrees from ABET accredited programs (with department approval).

Applicants with a bachelor's degree must have a cumulative grade-point average of at least 3.0/4.0.

Applicants with a master's degree must have a cumulative graduate grade point average of at least 3.5/4.0.

Applicants not satisfying the requirements for full admission may be classified either as provisional admission or as deferred admission.

Applicants with a bachelor's degree in a discipline other than engineering shall have completed undergraduate coursework in calculus, differential equations, and have one year of classical physics.

IELTS-6.5, TOEFL IBT-79
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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:79
  • 托福笔试总分:160
  • 其他语言考试:NA
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课程简介

Wireless communication and network security, transportation security, privacy and trust in distributed systems, cybersecurity for IoT applications, cyber-defense, artificial intelligence and machine learning, data mining and analytics for engineering applications, predictive modeling and analytics, human-machine interaction, penetration testing (pen testing/ethical hacking), cybersecurity education.
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