Graduate Studies

Two students and Dr. Brinkman watch as one student is wearing a virtual reality device and is preforming tasks

The Computer Science and Software Engineering Department offers a master's degree and a combined bachelors/masters degree program. The mission of the Master of Science in Computer Science program is to prepare students for computing professions that require research, invention, and advanced or specialized knowledge. This includes possible pursuit of a Ph.D. in computer science. Students (who are expected to hold a bachelor’s degree in computer science or a closely related field) shall complete and document work on independent research with a faculty advisor and study advanced topics in computer science. The advanced coursework and experience in research and invention prepares students for work at the cutting edge of computer science.

Combined Bachelor/Master's Program

This program provides the opportunity for high-achieving students to simultaneously complete any Miami University bachelor's degree along with a master's degree in computer science. The combined program is open to students of any major, provided they meet admission requirements (see below). Depending on their undergraduate degree requirements, students admitted to the combined degree program may count between six and nine credits of their graduate coursework towards their bachelor's degree, thus enabling them to complete their degrees in an accelerated fashion. With an undergraduate major in computer science or software engineering students can complete the combined program in five years. For more information on
this program visit the Miami Bulletin.

Master's Program Requirements

For information on the program requirements for a Master of Science in Computer Science visit the Program Requirements section in the Miami Bulletin.

Research

Faculty have received grants from the National Science Foundation (NSF), Army Research Office (ARO), Office of Naval Research (ONR), National Institutes of Health (NIH), National Aeronautics and Space Administration (NASA), as well as other external support including grants from Proctor and Gamble, and the PhRMA Foundation.

Research areas include:

  • Artificial Intelligence, Evolutionary Computing, Machine Learning
  • Computer Vision and Graphics
  • Model-driven Software Engineering, Design Patterns
  • Semantic Web, Ontologies, and Knowledge Representation
  • Software Engineering Education and Computer Science Education
  • Security, Privacy, and Cryptography
  • Virtual and Augmented Reality

For more information about research interests, visit our faculty web pages.