愛荷華大學(University of Iowa)PhD in Computer Science是愛荷華大學(University of Iowa)Department of Computer Science, College of Liberal Arts & Sciences開設的專業(yè)。指南者留學整理收集2020年愛荷華大學(University of Iowa)PhD in Computer Science申請截止時間、2020年愛荷華大學(University of Iowa)PhD in Computer Science語言成績要求、2020年愛荷華大學(University of Iowa)PhD in Computer Science申請材料要求供大家參考。
愛荷華大學(University of Iowa)PhD in Computer Science申請截止時間
2021-1-01Fall
愛荷華大學(University of Iowa)PhD in Computer Science語言成績要求
TOEFL
The Graduate College requires a minimum TOEFL score of 81 for Internet-based testing
IELTS
A minimum IELTS score of 7.0 (with no section score lower than 6.0) for international applicants whose native language is not English
GRE
The GRE General Test scores of PhD students admitted for fall 2017 averaged 156 Verbal, 164 Quantitative and 4.0 Analytic Writing. GRE General test scores of MCS students admitted in Fall 2017 averaged 150 Verbal, 163 Quantitative and 3.5 Analytic Writing.
愛荷華大學(University of Iowa)PhD in Computer Science申請材料要求
PS
A statement of purpose indicating that the applicant understands the nature of the graduate program for which s/he is applying, and to perhaps express interest in a particular area of computer science.
GPA
A minimum 3.00 undergraduate grade point average on a four-point scale. Graduate students in recent years had an average undergraduate GPA of 3.46 on a 4.00 scale.
CV
A curriculum vitae or résumé.
Fee
You must first submit the online application to the Graduate College and pay the $60 application fee by credit card ($100 for international applicants).
RL
Three letters of recommendation and/or a recommendation form. Recommendations should be completed by persons who have direct knowledge of an applicant’s intellectual ability, motivation to study computer science, preparation for graduate school, creativity in research, capacity to work independently, and, if an international student, ability to speak and write English.
Transcript
Undergraduate and graduate transcripts, showing strong performance in the following key areas:
Math foundations (calculus, discrete math, probability, numerical analysis, etc.)
Programming (C, C++, Java) and programming language foundations
Data structures and algorithms
Software and hardware systems
And exposure to database programming and network programming