PhD in Imaging Science in Rochester United States | Rochester Institute of Technology

Achieve the highest academic distinction in imaging science by developing the expertise, competencies, and practical experience needed to excel in this multifaceted discipline. The Ph.D. in imaging science represents exceptional scholarly accomplishment and original research across the broad spectrum of imaging science. Doctoral students enhance the foundational knowledge base in the scientific and engineering principles underlying this field. As a Ph.D. candidate in imaging, you'll cultivate the abilities, techniques, and hands-on experience required to push the boundaries of the discipline and address evolving academic, industrial, and governmental needs.

To earn the doctoral degree, candidates must prove their mastery through:

Satisfactory completion of coursework, including a defined core curriculum as outlined in the student's academic plan,
Successful performance on comprehensive examinations, and
Completion of an approved dissertation guided by the student's research advisor and dissertation committee.

All doctoral students must fulfill a minimum requirement of 60 credit hours encompassing both coursework and research. The core curriculum provides comprehensive coverage of fundamental concepts crucial for understanding imaging processes and their applications. Course selection follows the student's individualized study plan and must incorporate core course sequences along with specialized coursework in areas like remote sensing, digital image processing, color science, computer graphics, electro-optical systems, or microlithographic imaging technologies.

Students may enroll in a restricted number of credit hours from other departments and must complete research credits, which include two credits dedicated to the research seminar course, Graduate Seminar.

Advanced elective courses available through the Chester F. Carlson Center for Imaging Science (and related RIT departments) enable students to focus their studies on various imaging science research domains and application areas, such as electro-optical imaging, digital image processing, color science, visual perception, electrophotography, lithography, remote sensing, medical imaging, digital printing, and computer vision.