The overarching theme of this program is to train comprehensive imaging scientists in the skills necessary to identify clinically relevant problems. Topics include: developing instrumentation, sensors, and contrast agents to form images appropriate for the problem; and analyzing the resulting imaging data using signal processing, mathematical modeling, visualizations, and informatics techniques to improve the prevention, detection, diagnosis, and treatment of human diseases. View this flyer for more information. If you are interested in applying to this program, contact the BME Graduate Coordinator.
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The basic requirement to complete this portfolio program is 12 hours of coursework (4 courses), which provide the requisite core knowledge for an imaging scientist. Learn more about portfolio programs at The University of Texas at Austin Graduate School.
Required Courses for Portfolio Completion (12 credit hours)
- BME 381J.3 Biomedical Imaging Modalities (3 credit hours)
- Elective in Image Processing (3 credit hours)
- Elective in Modeling and Visualization (3 credit hours)
- Elective in Data Mining and Informatics (3 credit hours)
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Fellowship recipients complete a total of 20 credit hours (6 courses + 2 seminar courses) as described above for the Portfolio Program and Fellowship. Again, some or all of these courses may count toward your doctoral degree requirements as well. The program directors and the Graduate Advisor are available to help students select their elective coursework. Discuss with the Graduate Advisor and Graduate Program Coordinator.
Fellows can use this suggested curriculum sequence that illustrates the totality of requirements for both the portfolio and the fellowship program.
Professional Development Opportunities
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