The Computer Science and Engineering (CSE) department spans multiple areas of research including theory, systems, AI/ML, architectures, and software.
CSE’s areas of research are computer hardware, including architecture, VLSI (chip design), FPGAs, and design automation; computer security and privacy; cyber-physical systems; distributed systems; database systems; machine learning and artificial intelligence; natural language processing; networks; pervasive computing and human-computer interaction; programming languages; robotics; social computing; storage systems; and visual computing, including computer vision, visualization, and graphics.
In cooperation with other departments on campus, CSE also offers a strong research group in bioinformatics, computational biology, biomolecular engineering, and human genome mapping. The CSE department enjoys a close relationship with the Electrical and Computer Engineering, Applied Mathematics, and Statistics departments. Faculty members carry out joint research projects, supervise students, and teach courses for these departments. The M.S. degree requires either a master’s thesis or an approved project and is usually completed in two years, although it is possible to complete the program in one year. The Ph.D. degree is usually completed in five years.
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CSE research news
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A new unique capstone project involves both undergraduate and graduate students.
In Memoriam: Allen Van Gelder
Remembering Professor of Computer Science and Engineering Allen Van Gelder
We’re hiring!
Open positions include: lecturer, teaching professor, research professor. Find out more.
Explore potential Computer Science and Engineering career paths
- Software Engineer/Developer
- Hardware Engineer/Developer
- Network Engineer
- Web Developer
- Mobile App Developer
- AI/ML Engineer
- UX Designer
- Systems Architect
- Cybersecurity Engineer
Learn more
Computer engineering faculty and students are researching and developing secure, efficient, and effective networking applications that support the internets of the future.
The Natural Language Processing (NLP) master's degree program provides students the in-depth NLP skills and experience needed for successful careers in this fast-growing field.