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Program Description:

The IASM Ph.D. program is a cutting-edge educational program with the mission of preparing students for careers requiring both mathematical/computational and scientific backgrounds. Students in this program will tackle today’s exciting research problems that span across multiple scientific disciplines and participate in work involving collaborations with neighboring organizations such as the Air Force Research Laboratory and internships with local research and development companies. The PhD program has three focus areas: Materials and nanoscale science and technology, Modeling and analysis for physical and biological systems, and Computational problems in the physical and biological sciences.  Additional information can be located on our website - www.wright.edu/iasm, which has an “Apply Now” button.   IASM PhD admissions requirements can be found at: science-math.wright.edu/academics/programs/iasm-phd-admission-requirements.  A current list of IASM Program Faculty is linked to the website or can be found at: science-math.wright.edu/academics/programs/iasm-program-faculty.   

Admission Requirements:

• B.S. or B.A. degree from an accredited institution in mathematics, science or engineering, with a minimum 3.0 grade point average in mathematics and science coursework, demonstrating a strong mathematics background, with academic training commensurate with IASM focus areas,

OR

• M.S. degree from a mathematics or science program, with a minimum 3.25 grade point average in mathematics and science coursework, demonstrating a strong mathematics background, with academic training commensurate with IASM focus areas.  Previous graduate course credit may be applied toward the degree requirements of the IASM PhD program per the WSU Graduate School Policies and with IASM Program approval.  With IASM Program approval, prior academic and/or research accomplishments may also be applied to selected program milestones.

Additionally, students seeking admission will be required to submit:

• Academic Transcripts (undergraduate and graduate)
• GRE scores
• A Statement of Professional Goals.  This should include your academic and career preparation and accomplishments, how your experiences have prepared you for a PhD program, your professional/career objectives, and how the IASM program fits your background and goals.  
• Three Letters of Recommendation: References should address your past academic and/or research performance and provide an indication of your chances of success in our Ph.D. program.

Providing a CV is recommended but not required.

For additional information:

• Interdisciplinary Applied Science and Mathematics, Ph.D.
• Department of Mathematics and Statistics
• College of Science and Mathematics

Program Requirements:

Departmental Core Requirements: 14 Hours

• MTH 6060 - Mathematical Modeling Credit Hour(s): 3
• MTH 6150 - Scientific Computation Credit Hour(s): 3
• ISM 8000 - Research & Career Development I Credit Hour(s): 3
• ISM 8010 - Research & Career Development II Credit Hour(s): 3
• ISM 8100 - Graduate Seminar Credit Hour(s): 1 (2 semesters)

Focus Area Courses:

8 courses chosen from focus area courses with at least 2 of these courses chosen from an area different from the student’s own focus area.

MATERIALS AND NANOSCALE SCIENCE AND TECHNOLOGY FOCUS

• CHM 6170 - Applied Chemical Spectroscopy Credit Hour(s): 2
• CHM 6650 - Physical Polymer Chemistry Credit Hour(s): 2
• CHM 6680 - Experimental Nanomaterials and Nanoscience Credit Hour(s): 3
• CHM 7500 - Introduction to Quantum Chemistry Credit Hour(s): 3
• ES 7180 - Chemical Processes in the Environment Credit Hour(s): 3
• PHY 6320 - Lasers Credit Hour(s): 3
• PHY 6400 - Nanoscience and Nanotechnology Credit Hour(s): 3
• PHY 6630 - Intro to Solid State Physics Credit Hour(s): 3
• PHY 6730 - Mathematical Physics Credit Hour(s): 3
• PHY 6800 - Classical Mechanics Credit Hour(s): 3
• PHY 6810 - Electromagnetic Theory - I Credit Hour(s): 4
• PHY 6820 - Electromagnetic Theory II Credit Hour(s): 4
• PHY 6830 - Statistical Mechanics Credit Hour(s): 3
• PHY 7100 - Quantum Mechanics I Credit Hour(s): 3
• PHY 7110 - Quantum Mechanics II Credit Hour(s): 3
• PHY 7530 - Topics in Ultrafast Optics Credit Hour(s): 3
• PHY 7540 - Topics in Geophysics Credit Hour(s): 3
• PHY 7550 - Topics in Terahertz Physics Credit Hour(s): 3

MODELING AND ANALYSIS FOR PHYSICAL AND BIOLOGICAL SYSTEMS FOCUS

• BIO 6460 - Advanced Cell Biology Credit Hour(s): 3
• BIO 6600 - Population Genetics Credit Hour(s): 4
• BMB 7500 - Molecular Biochemistry I Credit Hour(s): 3
• BMB 7520 - Molecular Biochemistry II Credit Hour(s): 3
• BIO 6470 - Population & Community Ecology Credit Hour(s): 3
• ES 7120 - Environmental Biology: Genes, Organisims, and Ecosystems Credit Hour(s): 3
• ES 7160 - Complexity in Environmental Systems Credit Hour(s): 4
• EES 6120 - Earth Materials Credit Hour(s): 4
• EES 6160 - Stratigraphy & Sedimentology Credit Hour(s): 4
• EES 6220 - Introduction to Geophysics Credit Hour(s): 4
• MTH 6070 - Optimization Techniques Credit Hour(s): 3
• MTH 6240 - Coding Theory Credit Hour(s): 3
• MTH 7160 - Numerical Linear Algebra Credit Hour(s): 4
• MTH 7170 - Numerical Methods for Partial Differential Equations Credit Hour(s): 4
• MTH 7310 - Real Analysis I Credit Hour(s): 4
• MTH 7320 - Real Analysis II Credit Hour(s): 4
• PHY 6730 - Mathematical Physics Credit Hour(s): 3
• PHY 6830 - Statistical Mechanics Credit Hour(s): 3
• PSY 7050 - Cognition Credit Hour(s): 3 to 4
• PSY 7060 - Perception Credit Hour(s): 4
• PSY 8090 - Topics in Human Factors Credit Hour(s): 1 to 3
• STT 6300 - Biostatistics Credit Hour(s): 3
• STT 7020 - Applied Stochastic Processes Credit Hour(s): 3
• STT 7140 - Statistical Modeling for Environmental Data Credit Hour(s): 3
• STT 7670 - Applied Regression Analysis Credit Hour(s): 3

COMPUTATIONAL PROBLEMS IN THE PHYSICAL AND BIOLOGICAL SCIENCES FOCUS

• EES 6210 - Structural Geology and Tectonics Credit Hour(s): 4
• EES 6240 - Oceanography Credit Hour(s): 3
• EES 6250 - Climate Change Credit Hour(s): 3
• EES 6290 - Remote Sensing of Earth Credit Hour(s): 3
• MTH 6070 - Optimization Techniques Credit Hour(s): 3
• MTH 6140 - Mathematical Software Credit Hour(s): 3
• MTH 6260 - Matrix Computations Credit Hour(s): 3
• MTH 6570 - Combinatorics and Graph Theory Credit Hour(s): 4
• MTH 7160 - Numerical Linear Algebra Credit Hour(s): 4
• MTH 7170 - Numerical Methods for Partial Differential Equations Credit Hour(s): 4
• MTH 7770 - Applied Analysis Credit Hour(s): 4
• PSY 8090 - Topics in Human Factors Credit Hour(s): 1 to 3
• PSY 8110 - Application of Visual Science Credit Hour(s): 3
• PSY 8130 - Fundamentals of Motion Perception Credit Hour(s): 3
• PSY 8140 - Psychoacoustics Credit Hour(s): 3
• STT 6260 - Survival Analysis Credit Hour(s): 3
• STT 6640 - Machine Learning Credit Hour(s): 3
• STT 7140 - Statistical Modeling for Environmental Data Credit Hour(s): 3
• STT 7400 - Categorical Data Analysis Credit Hour(s): 3
• STT 7440 - Applied Multivariate Analysis Credit Hour(s): 3
• STT 7670 - Applied Regression Analysis Credit Hour(s): 3

Electives:

4 approved courses, numbered 6000 or above, offered by science, math, or engineering academic departments. An internship is a recommended substitute for up to 2 of these courses.

Dissertation Research: 30 Hours

• ISM 8400 Dissertation Research (At least 30 credit hours)

Total: 90 Hours