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MS in Computer Engineering
Case Western Reserve University

Overview

Graduate students shall be admitted to one of two MS degree programs (Plan A or Plan B) upon recommendation of the faculty of the Department. The MS Plan A degree program is composed of two components:

  1. graduate-level coursework and
  2. a research-oriented thesis. Progression through the program is monitored by a Program of Study.

Each MS Plan A student is required to file a Program of Study through SIS. The MS Plan B degree program is composed of two components:

  1. graduate-level coursework and
  2. a research-oriented project. Progression through the program is
    monitored by a Program of Study. Each MS Plan B student is required to file a Program of Study through SIS.

Courses Required:

  • MS Plan A
    The Program of Study must contain at least 30 semester credit hours of coursework at the 400 level or above, of which a minimum of 1 8 credits must be from non-thesis related courses. Each MS Plan A student must complete at least 9 credit hours of EECS 651 Thesis M.S., which is the course associated with MS thesis research.
  • The MS Plan B Degree Program
    It is composed of two components:
    • graduate-level coursework and
    • A research-oriented project. Progression through the program is monitored by a Program of Study. Each MS Plan B student is required to file a Program of Study through SIS. The Program of Study must contain at least 30 semester credit hours of coursework at the 400 level or above, of which a minimum of 21 credits must be from courses other than EECS 695 Project M.S. (which is the course associated with the MS research project). A MS Plan B student must complete at least 3 credit hours of EECS 695 Project MS.

In particular, students should have knowledge in data structures, algorithms and operating systems equivalent to that in the courses:

  • EECS 233 Introduction to Data Structures
  • EECS 340 Algorithms
  • EECS 338 Intro to Operating Systems and Concurrent Programming

Details

$29,955

Annual Tuition Fee*

24 Months

Course Duration

30

Course Credits

On Campus

Delivery Medium

Course Link

Tuition Link

Admissions

$50

Application Fee

View

Application Link

Application Deadline

15/11/2021

Spring

Pre-Requisities

Documents

Create an online application, CV or Resume , Personal Statement , Writing Sample, Three letters of recommendation , Application fee $50

Min English Scores

TOEFL

90

IELTS

7

PTE

61

Academic Pre-Requisites

Applicants should reach out directly to the program or department to which they are applying for specific program-related questions. Addresses for departments are in the Program Information section of the application or listed on their individual websites. Each program within the School of Graduate Studies is responsible for recommending admission of new graduate students.

  • Online application system
  • CWRU Network IIDs
  • Transcripts
  • Letters of recommendation
  • Test scores
  • Application fee
  • Admission decisions and acceptance letters
  • TOEFL score of at least 577 on the paper-based exam or 90 on the internet-based exam.
  • GRE scores

Students

9

Yocketers have applied

8

Yocketers got admits

647

Yocketers are interested

Average Profile of Admits

316

GRE

102

TOEFL

7

IELTS

Devharsh Kartikeya Trivedi

Admit

Computer Engineering
  • fall 2019

Wins Goyal

Admit

Computer Engineering
  • fall 2018

Sathwik Kalvakuntla

Admit

Computer Engineering
  • spring 2022

Nithinbalaji

Admit

Computer Engineering
  • fall 2017

Vansh

Admit

Computer Engineering
  • fall 2016

Opportunities

Students should be aware of graduation requirements early in pursuit of master's and doctoral work. All students are required to apply in advance to graduate. Do this by completing the graduation application in the Student Information System (SIS). Select your degree for detailed steps to completion:

  • Master's (thesis)
  • Master's (non-thesis)

EECS is at the heart of modern technology. Its disciplines are responsible for the devices and
microprocessors powering our computers and embedded into everyday devices, from cell phones and tablets to automobiles and airplanes. Healthcare is increasingly building on EECS technologies: micro/nano-systems, electronics/instrumentation, implantable systems, wireless medical devices, surgical robots, imaging, medical informatics, bioinformatics, system biology, and data mining and visualization.

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