Case Western Reserve University, Ohio
Case School of Engineering
Case Western Reserve University, Ohio
Case School of Engineering
18
Program Duration
Computer Engineering
Degree Type
30
Course Credits
53
Program Rank
Master of Computer Engineering is one of the best courses to choose from that offers
in-depth learning in a Computer Engineering. An MS Degree in Computer Engineering from the
Case Western Reserve University has consistently made its place among the top global universities.
International students prefer this course at the Case Western Reserve University due to its high graduate
employability rate.
Case Western Reserve University offers exceptional education quality, high-end practical learning
and ample work opportunities to its international students. After receiving their MS
Degree in Computer Engineering from the Case Western Reserve University, students will be competent to
carry out extensive research work in the field.
The interactive curriculum, vast research opportunities and exceptional teaching
faculty at Case Western Reserve University offer students a life-altering learning experience. A
Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Computer Engineering from the Case Western Reserve University is
a great choice for students who want to analyse the field in great depth.
Why Study Computer Engineering at Case Western Reserve University
Annual tuition fees
$46,320 / year
Total tuition fees
$69,480 / 18 months
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Test Score Requirements
Minimum english score required
TOEFL
90
IELTS
7
PTE
61
Minimum aptitude score required
GRE
Optional
Application Pre-requisites
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ÐÓ°ÉÂÛ̳er profiles
Ramesh Shah
MS in Computer Engineering
Spring 2022
Anmol Gupta
ShortlistedMS in Computer Engineering
Fall 2022
Yuvraj Rana
MS in Computer Engineering
Fall 2022
Anuj Bhardwaj
MS in Computer Engineering
Fall 2021
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The department does cutting-edge research spanning all areas of electrical engineering and computer science: artificial intelligence, bioinformatics, control, databases, data mining, energy systems, haptic, health informatics, micro- and Nano-electromechanical systems, networking, neural interfacing, robotics, signal processing.
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