Program: Interdisciplinary Applied Science and Mathematics, PhD (IASCIMTH-PHD) - Wright State University
Wright State University
2025-2026 Academic Catalog
Apr 24, 2026
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2025-2026 Academic Catalog
Interdisciplinary Applied Science and Mathematics, PhD (IASCIMTH-PHD)
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CIP Code: 400101
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):
MTH 6150 - Scientific Computation
Credit Hour(s):
ISM 8000 - Research & Career Development I
Credit Hour(s):
ISM 8010 - Research & Career Development II
Credit Hour(s):
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):
CHM 6650 - Physical Polymer Chemistry
Credit Hour(s):
CHM 6680 - Experimental Nanomaterials and Nanoscience
Credit Hour(s):
CHM 7500 - Introduction to Quantum Chemistry
Credit Hour(s):
ES 7180 - Chemical Processes in the Environment
Credit Hour(s):
PHY 6320 - Lasers
Credit Hour(s):
PHY 6400 - Nanoscience and Nanotechnology
Credit Hour(s):
PHY 6630 - Intro to Solid State Physics
Credit Hour(s):
PHY 6730 - Mathematical Physics
Credit Hour(s):
PHY 6800 - Classical Mechanics
Credit Hour(s):
PHY 6810 - Electromagnetic Theory - I
Credit Hour(s):
PHY 6820 - Electromagnetic Theory II
Credit Hour(s):
PHY 6830 - Statistical Mechanics
Credit Hour(s):
PHY 7100 - Quantum Mechanics I
Credit Hour(s):
PHY 7110 - Quantum Mechanics II
Credit Hour(s):
PHY 7530 - Topics in Ultrafast Optics
Credit Hour(s):
PHY 7540 - Topics in Geophysics
Credit Hour(s):
PHY 7550 - Topics in Terahertz Physics
Credit Hour(s):
Modeling and Analysis for Physical and Biological Systems Focus
BIO 6460 - Advanced Cell Biology
Credit Hour(s):
BIO 6600 - Population Genetics
Credit Hour(s):
BMB 7500 - Molecular Biochemistry I
Credit Hour(s):
BMB 7520 - Molecular Biochemistry II
Credit Hour(s):
ES 7120 - Environmental Biology: Genes, Organisms, and Ecosystems
Credit Hour(s):
ES 7160 - Complexity in Environmental Systems
Credit Hour(s):
EES 6120 - Earth Materials
Credit Hour(s):
EES 6160 - Stratigraphy & Sedimentology
Credit Hour(s):
EES 6220 - Introduction to Geophysics
Credit Hour(s):
MTH 6070 - Optimization Techniques
Credit Hour(s):
MTH 6240 - Coding Theory
Credit Hour(s):
MTH 7160 - Numerical Linear Algebra
Credit Hour(s):
MTH 7170 - Numerical Methods for Partial Differential Equations
Credit Hour(s):
MTH 7310 - Real Analysis I
Credit Hour(s):
MTH 7320 - Real Analysis II
Credit Hour(s):
PHY 6730 - Mathematical Physics
Credit Hour(s):
PHY 6830 - Statistical Mechanics
Credit Hour(s):
PSY 7050 - Cognition
Credit Hour(s):
3 to 4
PSY 7060 - Perception
Credit Hour(s):
PSY 8090 - Topics in Human Factors
Credit Hour(s):
1 to 3
STT 6300 - Biostatistics
Credit Hour(s):
STT 7020 - Applied Stochastic Processes
Credit Hour(s):
STT 7140 - Statistical Modeling for Environmental Data
Credit Hour(s):
STT 7670 - Applied Regression Analysis
Credit Hour(s):
Computational Problems in the Physical and Biological Sciences Focus
EES 6210 - Structural Geology and Tectonics
Credit Hour(s):
EES 6240 - Oceanography
Credit Hour(s):
EES 6250 - Climate Change
Credit Hour(s):
EES 6290 - Remote Sensing of Earth
Credit Hour(s):
MTH 6070 - Optimization Techniques
Credit Hour(s):
MTH 6260 - Matrix Computations
Credit Hour(s):
MTH 6570 - Combinatorics and Graph Theory
Credit Hour(s):
MTH 7160 - Numerical Linear Algebra
Credit Hour(s):
MTH 7170 - Numerical Methods for Partial Differential Equations
Credit Hour(s):
MTH 7770 - Applied Analysis
Credit Hour(s):
PSY 8090 - Topics in Human Factors
Credit Hour(s):
1 to 3
STT 6260 - Survival Analysis
Credit Hour(s):
STT 6640 - Machine Learning
Credit Hour(s):
STT 7140 - Statistical Modeling for Environmental Data
Credit Hour(s):
STT 7400 - Categorical Data Analysis
Credit Hour(s):
STT 7440 - Applied Multivariate Analysis
Credit Hour(s):
STT 7670 - Applied Regression Analysis
Credit Hour(s):
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
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