Almost all of UToledo’s master’s and Ph.D. graduates in computer science and engineering find jobs after graduation or continue their studies in graduate school.
The University of Toledo's accredited graduate engineering program is one of the best in the country and in Ohio. The Princeton Review has ranked the program in the top 20 nationwide.
UToledo’s master’s degree and doctoral programs in engineering offer a concentration in computer science and engineering. We equip our students with advanced and up-to-date knowledge and skills. You’ll learn everything you need to be a productive researcher and to develop innovative solutions to technological problems.
UToledo offers three options for earning the master’s degree:
Learn more about the Electrical Engineering and Computer Science Engineering Department.
Cutting-edge technology and research. Graduate students and faculty work in state-of-the-art labs. Research is funded by a variety of state and federal agencies, including the National Science Foundation (NSF).
A faster path to a Ph.D. UToledo graduate students who excel in their computer science and engineering studies have the unique opportunity of transferring to the doctoral program before the completion of their master’s degree.
Pay your way. Qualified computer science and engineering graduate students are eligible for graduate assistantships, stipends and tuition waivers.
Strong industry ties. UToledo’s Department of Electrical Engineering and Computer Science believes in entrepreneurship and technology commercialization. We work together with industry on research projects, symposia and short courses through our Industrial Partnerships Program.
Nearly all of our graduate students find employment or enroll in doctoral programs after completing their master’s degrees or Ph.D.s. UToledo prepares them for positions in industry, academia and government, or for professional and doctoral studies.
Typical high-tech job opportunities include positions in:
UToledo master’s students in computer science engineering have been accepted into Ph.D. programs at:
Alumni of the computer science and engineering graduate program have been employed by:
"The University of Toledo’s computer science engineering master’s program has helped me develop technically and professionally. The technical courses and projects helped me grow my skills, and NSF-funded programs like ICORPS helped me get in touch with the industry, bridging the gap between academic institution and industries."
Nitin Kumar Pundir, MS ’07
"The Ph.D. program in the Electrical Engineering and Computer Science department of The University of Toledo helped me develop both academically and professionally under the mentorship of experienced faculty. The program provides ample time to graduate students to focus on their research. As a research student in systems and security, I always received the resources — both hardware and software — that I needed. I had opportunities to grow my network and was sponsored by the department to attend conferences."
Quamar Niyaz, PhD ’17
Min Song, PhD ’01, served as a program director in the NSF’s Computer and Information Science and Engineering division. He served as chair of the Department of Computer Science at Michigan State University, and is chair of the Department of Electrical and Computer Engineering at Stevens Institute of Technology in Hoboken, N.J.
Computer Science and Engineering Graduate Program Sample Courses
View M.S. Plan of Study View Ph.D. Plan of Study
One of the research specialties of the UToledo Department of EECS is computational sciences.
Domain specialists in computer science and engineering sometimes don’t have the advanced computer science knowledge and skills to solve challenging problems. UToledo researchers collaborate with domain specialist scientists and engineers to fill this void and address problems, working in areas such as:
The EECS department faculty members work in five research focus groups. Computer science engineering students can participate in two of them:
Our highly qualified faculty members have published research in high-quality journals. Many faculty members have research grants awarded by federal agencies, including the NSF. Faculty research interests include:
Dr. Vijay Devabhaktuni is a part-time faculty member in the EECS department. He is a renowned expert in computer-aided design, machine learning, modeling, big data, biomedical engineering, cyber security, energy efficiency, virtual reality and more. He has received about $2 million in funding from more than 30 external grants and has published more than 80 papers.