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)
| Code | Title | Units |
|---|---|---|
| BME 5700 | Mathematics of Imaging Science | 3 |
| BME 5910 | Biomedical Optics I | 3 |
| BME 5940 | Ultrasound Imaging | 3 |
| ESE 5820 | Fundamentals and Applications of Modern Optical Imaging | 3 |
| ESE 5890 | Biological Imaging Technology | 3 |
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.
| Code | Title | Units |
|---|---|---|
| ESE 4150 | Optimization | 3 |
| ESE 4170 | Introduction to Machine Learning and Pattern Classification | 3 |
| ESE 5932 | Computational Imaging Science | 3 |
| CSE 4107 | Introduction to Machine Learning | 3 |
| CSE 5105 | Bayesian Methods in Machine Learning | 3 |
| CSE 5107 | Machine Learning | 3 |
Imaging Applications Courses (3 units)
| Code | Title | Units |
|---|---|---|
| BME 5440 | Biomedical Instrumentation | 3 |
| BME 5920 | Biomedical Optics 2 | 3 |
| CSE 5509 | Computer Vision | 3 |
Seminar Course (1 unit)
| Code | Title | Units |
|---|---|---|
| ESE 5981 | Seminar in Imaging Science and Engineering | 1 |
Additional Electives (30 units)
Students may choose from the list below and the lists above to meet the 30 units required:
| Code | Title | Units |
|---|---|---|
| BIOL 5146 | Principles and Applications of Biological Imaging | 3 |
| BIOL 5147 | Contrast Agents for Biological Imaging | 3 |
| BME 5440 | Biomedical Instrumentation | 3 |
| BME 5700 | Mathematics of Imaging Science | 3 |
| BME 5910 | Biomedical Optics I: Principles | 3 |
| BME 5920 | Biomedical Optics 2: Advanced Topics in Biophotonics | 3 |
| BME 5940 | Ultrasound Imaging | 3 |
| BME 5999 | Independent Study | 3 |
| BME 7889 | Masters Research | 1-6 |
| CLNV 5070 | Ethical and Legal Issues in Clinical Research | 3 |
| CSE 5105 | Bayesian Methods in Machine Learning | 3 |
| CSE 5107 | Machine Learning | 3 |
| CSE 5509 | Computer Vision | 3 |
| ESE 4150 | Optimization | 3 |
| ESE 4380 | Applied Optics | 3 |
| ESE 5200 | Probability and Stochastic Processes | 3 |
| ESE 5820 | Fundamentals and Applications of Modern Optical Imaging | 3 |
| ESE 5890 | Biological Imaging Technology | 3 |
| ESE 5932 | Computational Imaging Science | 3 |
| ESE 5933 | Theoretical Imaging Science | 3 |
| ESE 5970 | Practicum in Imaging Science | 3 |