Interdisciplinary Applied Science and Mathematics
Dayton , United States
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Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available
Details
Program Details
Degree
PhD
Major
Biomedical Sciences | Applied Mathematics | Materials Science
Area of study
Mathematics and Statistics | Natural Science
Course Language
English
About Program
Program Overview
Interdisciplinary Applied Science and Mathematics
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.
Program Details
- The PhD program has three focus areas:
- Materials and nanoscale science and technology
- Modeling and analysis for physical and biological systems
- Computational problems in the physical and biological sciences
- Department: Science and Mathematics, College of
Graduate Programs
- Interdisciplinary Applied Science and Mathematics, PhD (IASCIMTH-PHD)
Research and Success Stories
- Alumni have gone on to shape the future of AI in national defense
- Faculty members have led the charge on creating new clinics at local hospitals
- Students research eye movement to explore its impact on focus, productivity, and efficiency
Colleges and Schools
- Business, Raj Soin College of
- Engineering and Computer Science
- Graduate Programs and Honors Studies
- Health, Education, and Human Services
- Lake Campus
- Liberal Arts
- Medicine, Boonshoft School of
- Science and Mathematics
Academics
- Academic Calendar
- Catalog
About the Program
- The program is designed to prepare students for careers in interdisciplinary applied science and mathematics
- It provides students with a strong foundation in mathematical and computational methods, as well as scientific knowledge and research skills.
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