Imaging Science, MS (IS)

Requirements

The Master of Science (MS) in Imaging Science requires the completion of 30 credit units, including 13 credit units from the core list (two mathematics and physics courses, one seminar course, and one computation and one application course each selected from the list below) and the remaining credits from the electives list.

24 of the 30 credits must be at the 5000 level or above; up to 6 of the 30 credits can be taken at the 4000 level.

Courses

Required Core Imaging Science Courses (13 units)

Mathematics and Physics of Imaging Modalities Courses (6 units)

BME 5700Mathematics of Imaging Science3
BME 5910 Biomedical Optics I3
BME 5940 Ultrasound Imaging3
ESE 5820Fundamentals and Applications of Modern Optical Imaging3
ESE 5890Biological Imaging Technology3

Computational Imaging Courses (3 units)

Due to the partial overlap between ESE 4170 Introduction to Machine Learning and Pattern Classification and CSE 4107 Introduction to Machine Learning, it is recommended that students take only one, as only one of these courses can count toward the curriculum requirements.

ESE 4150Optimization 3
ESE 4170Introduction to Machine Learning and Pattern Classification3
ESE 5932Computational Imaging Science3
CSE 4107Introduction to Machine Learning3
CSE 5105Bayesian Methods in Machine Learning3
CSE 5107Machine Learning3

Imaging Applications Courses (3 units)

BME 5440Biomedical Instrumentation3
BME 5920Biomedical Optics 23
CSE 5509Computer Vision3

Seminar Course (1 unit)

ESE 5980Seminar in Imaging Science and Engineering1

Additional Electives (30 units)

Students may choose from the list below and the lists above to meet the 30 units required:

BIOL 5146Principles and Applications of Biological Imaging3
BIOL 5147Contrast Agents for Biological Imaging3
BME 5999Independent Study3
BME 7889 Masters Research1-6
CLNV 5070Ethical and Legal Issues in Clinical Research3
ESE 4380Applied Optics3
ESE 5200Probability and Stochastic Processes3
ESE 5933Theoretical Imaging Science3
ESE 5981Practicum in Imaging Science3

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