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The Basics

Mathematical Biology

Utah State University

Cross-disciplinary training in math, stats, biology and ecology -- our students even do field and lab work!


Department of Mathematics and Statistics
3900 Old Main Hill, Utah State University
Logan, Utah, 84322-3900, United States

What We Offer

Summary

The MathBio program trains students to create models and use data to address scientific and management questions. Students learn how to communicate with interdisciplinary audiences, conveying results of model construction, parameter determination, simulation evaluation, and system analysis. Students develop multi-disciplinary professional networks, participate in national/international conferences, and receive cross-disciplinary training. Research funding and internship experiences available!


Academic Fields

Applied Mathematics, General.
Biomathematics, Bioinformatics, and Computational Biology, Other.
Computational and Applied Mathematics.
Mathematical Biology.

Degrees

Master's Degree, MS, Masters in Mathematics
Doctoral Degree, PhD, PhD in MathSciences, Interdisciplinary Option


Formats

Part Time, Full Time, On-Campus

Keywords

Mathematical biology, mathematical modeling, mathematical ecology, interdisciplinary mathematics, applied mathematics

Contacts

Gary Tanner

Gary Tanner
gary.tanner@usu.edu

Dr. John Stevens

Dr. John Stevens
john.r.stevens@usu.edu
john.r.stevens@usu.edu
435-797-2818

Jia Zhao

Jia Zhao
Assistant Professor
jia.zhao@usu.edu
jia.zhao@usu.edu

Anna McEntire

Anna McEntire
anna.mcentire@usu.edu

Luis Gordillo

Luis Gordillo
luis.gordillo@usu.edu
luis.gordillo@usu.edu

Brynja Kohler

Brynja Kohler
Associate Professor
brynja.kohler@usu.edu
Brynja.Kohler@usu.edu
435-797-2826

Michael Cortez

Michael Cortez
michael.cortez@usu.edu

Who We're Looking For

Summary

The Mathematical Biology program is unique in being driven by questions and data from biology, ecology and environmental sciences. On a foundation of calculus, linear algebra, and differential equations we train students to develop, calibrate, simulate and analyze their own models in collaboration with disciplinary scientists. We look for creative, dynamic students with interdisciplinary interests who are excited to see mathematics answer questions in life sciences. Mathematical Biology MS applicants are expected to have taken calculus through multivariate, linear algebra and differential equations; evidence of excellence in technical subjects *using* mathematics is expected. PhD applicants need advanced training in relevant mathematics. Biological background is helpful but not necessary. Overall GPA must be over 3.0; we look for > 3.5 GPA in technical subjects. Preference is given to students with research experience and research overlap with faculty.


Academic Backgrounds

Applied Mathematics, General.
Computational and Applied Mathematics.
Ecology and Evolutionary Biology.
Mathematical Biology.
Mathematics and Statistics.
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