Department of Applied Science
Integrated Science Center
540 Landrum Drive
Williamsburg, VA 23185
The Applied Science Program
The Department of Applied Science is an interdisciplinary graduate department that focuses on the PhD., which also offers an M.S. degree. Students are not directly admitted to the M.S. program, however, the M.S. degree may be awarded after completing all of the requirements for the M.S. degree. Both degrees can be customized and focused into a number of concentrations in the physical and natural sciences. The program is offered by the core faculty of Applied Science in cooperation with affiliated faculty from the Departments of Biology, Mathematics, and Psychological Sciences, as well as from the NASA Langley Research Center (LaRC) and the Thomas Jefferson National Accelerator Facility (JLab).
Admission
William & Mary uses an online application system. Application materials include transcripts and three letters of recommendation. Minimally, each applicant must have a Bachelor’s degree with a major in a physical or natural science, mathematics, or an engineering discipline. If English is not your first language, your Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS) scores are required and must be sent directly to William & Mary by the Educational Testing Service or IELTS and you are strongly encouraged to make a Zoom/Microsoft Teams appointment with department admissions staff. For full consideration, review of applications begins 5:00 p.m. the first Friday of February for entrance in the Fall or Summer semester. Spring semester applications must be completed by 5:00 p.m. the second Friday in October. Applications submitted after the program’s deadline may be evaluated if space is available.
Concentrations
In coordination with their advisor, Applied Science graduate students may choose one of the following research fields to 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
- Data Science
- Interface, Thin Film, and Surface Science
- Lasers and Optics
- Magnetic Resonance
- Materials Science & Engineering
- Mathematical and Computational Biology
- Medical Imaging
- Nanotechnology
- Neuroscience
- Non-Destructive Evaluation
- Polymer Chemistry
- Remote Sensing
- Stochastic Environmental Dynamics
- Structural Biology