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MS and PhD in Computing: Image Analysis

Mission Statement

The Image Analysis track provides students with training and research opportunities in image processing, image analysis and computer vision. Students study a wide range of topics, including mathematical principles, numerical implementations, software engineering, applications to real image data, scientific visualization of results, computational statistics and machine learning. Students have the opportunity to apply this knowledge to 2D and 3D imaging problems driven by challenging applications from a variety of fields including medicine, biology, energy, defense and more - in principle from every field that uses cameras or scanners as sensors. Image processing by definition is multidisciplinary, covering aspects from mathematics, physics, numerical analysis, scientific computing, programming, and from the disciplines providing the driving applications such as clinical research, biology, geosciences, robotics, industrial inspection and surveillance. Students therefore have the chance to getting exposed to concepts and cutting edge research in all those disciplines and to actively interact with researchers who are part of these collaborative projects.

Image Anaylsis Track Faculty

Tom Fletcher (Track Director)

Ross Whitaker

Guido Gerig

Tolga Tasdizen

Marcel Prastawa

Bill Thompson

Tom Henderson

MS in Computing: Image Analysis

Students may complete a thesis or non-thesis option. Both options have the same course requirements. A minimum of 30 credits is required. Independent study and seminars cannot be used as part of the required 30 hours. MS Residency Requirement: At least 24 semester hours must be in resident study at the University of Utah.

Students may place out of any of the above required courses by substituting or transferring courses from other institutions. Substitute courses must be regular classes with exams and/or assignments, not seminar, readings, or independent study classes.

PhD in Computing: Image Analysis

A minimum of 50 credits is required, of which at least 27 credits must be graduate course work, and at least 14 credits must be dissertation research (CS 7970). Graduate course work applied toward an M.S. degree may be included. Independent study and seminars cannot be used as part of the required 50 hours.

Students may place out of any of the above required courses by substituting or transferring courses from other institutions. Substitute courses must be regular classes with exams and/or assignments, not seminar, readings, or independent study classes.