Program Description:
The Department of Computer Science and Engineering offers a program of graduate study leading to the Master of Science in Computer Engineering degree. The program balances theory, software, hardware, and practice with coursework-only and thesis options available.
Admission Requirements:
The admission process is competitive. Successful applicants will usually meet the following expectations:
- A Bachelor of Science degree in computer science, computer engineering, or a related field
- A 3.0 GPA
If you do not meet the admission expectations above, you may still be considered for admission. We will take into account your current academic and professional achievements when making this decision. In particular, students with a higher GPA in the last two years of their undergraduate degree, or high grades in computer science and mathematics coursework are often eligible for admission.
Program Prerequisites:
At least one year of formal coursework in computer programming. Formal coursework in data structures, computer organization, operating systems, and digital design is also required.
The materials covered in these courses should be equal to Wright State University courses:
- CS 3100 Data Structures and Algorithms
- CEG 3310 Computer Organization
- CEG 4350 Operating Systems Internals and Design
- CEG 3320 Digital System Design
If you do not have a year of formal coursework in computer programming, you may show programming proficiency by:
Math Prerequisites:
- One semester of calculus
- Knowledge of linear or matrix algebra
- Coursework in probability, statistics, and discrete math is preferred
Students lacking other prerequisite coursework may be assigned additional prerequisite courses upon admission.
Program Learning Outcomes:
Graduates of the Master’s of Science program in Computer Engineering shall:
- Have the ability to apply abstract reasoning to complex problems in computer engineering, and
- Have the ability to solve a broad range of problems through the application of current computer engineering techniques.
Facilities:
University and college systems include a variety of servers and workstations running current operating systems including Linux, Mac OS, and Windows. Department facilities provide specialized systems and support equipment tailored to specific curriculum and research areas including Linux-based Operating Systems and Internet Security lab, an Immersive Visualization and Animation Theater lab, and a variety of workstations and personal computers providing software tools for project design and development. The program also has access to one of the most advanced visualization and presentation environments in the nation, the Appenzeller Visualization Laboratory, located in the Joshi Research Center. The Department has laboratories dedicated to research in assistive technologies, RFID, computer vision, medical image analysis, parallel and distributed computing, evolvable hardware, database systems, data mining, mobile information and communications, software engineering, artificial intelligence, advanced computer networking, semantic web services oriented computing, scientific workflows, business process management, bioinformatics, and cyber security.
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