The Department of Applied Science is an interdisciplinary graduate department that focuses on the Ph.D., which also offers an M.S. degree in some cases. Both degrees can be customized and focused into a number of concentrations in the physical and natural sciences. Graduate students and their advisory committees plan individualized degree programs that best suit each student's educational goals.
Doctor of Philosophy
The candidate must successfully complete the program of courses approved by the Applied Science Faculty and pass a comprehensive qualifying examination designed to demonstrate competence in his or her field of study. The candidate must carry out a substantial original research project, and the dissertation describing this research must be approved by the student's advisory committee and successfully defended in a public oral examination. The Graduate Catalog has detailed Ph.D. requirements.
Master of Science
The student must successfully complete the program of courses approved by the Applied Science Faculty. The requirements for the degree may be met by either 1) 30 hours of graduate credit and an original thesis approved by the student's advisory committee and defended in an oral examination, or 2) 32 hours of graduate credit including Applied Science 710 Research Project. The Graduate Catalog has detailed M.S. requirements.
In coordination with their advisor, Applied Science graduate students can decide on one of the following research fields, which will be listed on the final transcript as their concentration area.
- Accelerator Science
- Applied Mathematics
- Applied Mechanics
- Applied Robotics
- Atmospheric and Environmental Science
- Biomolecular Engineering
- Biophysical Chemistry
- Computational Geography
- Computational Neuroscience
- Interface, Thin Film, and Surface Science
- Lasers and Optics
- Magnetic Resonance
- Materials Science & Engineering
- Mathematical and Computational Biology
- Medical Imaging
- Nondestructive Evaluation
- Polymer Chemistry
- Remote Sensing
- Stochastic Environmental Dynamics
- Structural Biology