Degree Requirements and Additional Information
Master of Science in Computer Science
Master of Science in Biomedical Informatics
Doctor of Philosophy in Computer Science
Doctor of Philosophy in Biomedical Informatics
degree programs
Master of Science in Computer Science
Department of Computer Science and Engineering
The Master of Science (M.S.) in computer science is a research-oriented degree targeted at students with undergraduate education in the science of computation. It provides advanced course work and emphasizes research by the student. At the same time, it provides numerous opportunities for interdisciplinary study. Within this degree, a concentration in Arts, Media and Engineering (AME) has recently been established in collaboration with faculty in Electrical Engineering and the Herberger College of Fine Arts. Degree Requirements
Master of Computer Science
Department of Computer Science and Engineering
The Master of Computer Science (M.C.S.) is an advanced degree targeted at students with undergraduate education in related disciplines who can best profit from further breadth and background. The M.C.S. also affords an opportunity for students employed in industry to seek a breadth of advanced education in computer science. Degree Requirements
Master of Science in Biomedical Informatics
Department of Biomedical Informatics
The M.S. program in Biomedical Informatics is designed to meet the rapidly growing need for professionals in the field with preparation that integrates technological expertise in informatics, computer sciences, biosciences and mathematical statistics with a knowledge of the clinical environment in the healthcare professions. By “biomedical informatics” we mean the development and application of methods for acquiring, representing, retrieving and analyzing biomedical knowledge and data. Degree Requirements
Doctor of Philosophy in Computer Science
Department of Computer Science and Engineering
The Doctor of Philosophy (Ph.D.) degree in computer science prepares students to undertake fundamental and applied research in computer science in academia, government and/or industry. Having matured as a discipline in its own right, computer science is now developing deep interactions with other fields, not just in engineering and science, but throughout the arts and humanities, education, the fine arts, law, medicine and business. While computers have become essential tools in these areas, the depth of interaction of fundamental computer science with each is rapidly evolving. Our program strives to reflect the depth and breadth of computer science as a science, an art, an engineering discipline and primarily as a creative human endeavor. Strong collaborations with the six other engineering departments in the Fulton School; Mathematics and Statistics; the School of Life Sciences and AZBio; the William P. Carey School of Business; the Herberger College of Fine Arts; and with the Consortium for Embedded and Internetworking Technologies (CEINT) and the Translational Genomics Center (TGen), provide a wealth of experience for out doctoral students. Recently, the interdisciplinary strength of the program has been enhanced by the introduction of an option to concentrate on studies and research in Arts, Media and Engineering (AME) within the Ph.D. degree. Degree Requirements
Doctor of Philosophy in Biomedical Informatics
Department of Biomedical Informatics
The Ph.D. program includes the requirements of the M.S. core curriculum and focuses on development of in-depth expertise in a selected area of concentration, to prepare graduates to assume advanced informatics research and development and leadership roles in academia, industry and healthcare organizations. As with the M.S. program, BMI’s strong collaborative relationships with a variety of healthcare organizations, bioscience, industry and governmental agencies provide an unparalleled opportunity for doctoral students to explore and contribute to advances in bioinformatics, or informatics related to imaging, clinical medicine and public health informatics, and with special foci on cross-cutting areas such as cognitive science, data mining/predictive modeling, embedded sensors and simulation.
Degree Requirements