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Industrial Mathematics: MS

Specialization(s): Climate Adaptation Science (Industrial Mathematics MS)

Industrial Mathematics

The Industrial Mathematics Program teaches students modeling, simulation, mathematical and statistical analysis for careers in industry and mathematical sciences. Students are prepared to work at a variety of government and industrial research jobs, teaching careers at community colleges as well as for entry to doctoral programs in applied mathematics or statistics. Research project topics are suggested by industrial and scientific internship partners; recent research has developed Bayesian optimization tools for use in quantitative Enzyme-Linked ImmunoSorbant Assay (ELISA) to detect bio-pathogens, used path planning algorithms to govern robotic devices in complicated environments, or developed stochastic models to describe vegetation responses to changing arid environments. Applicants are welcomed from any undergraduate technical major, including computer science, chemistry, engineering, math, physics and statistics.


Specialization(s):

A specialization is not required.

  • Climate Adaptation Science (Industrial Mathematics MS): The Climate Adaptation Science specialization provides students with experiences in actionable science through internship and research experiences. Program includes interdisciplinary research to identify adaptive responses to changing climate extremes and two-part internships with agency, NGO, and industry partners. In a first internship, students contribute to projects and learn the workplace cultures and science needs of the host. The internship experiences inform interdisciplinary climate adaptation research by student teams. In a second internship, students share science results and tools with the host organization and help put that science into action.

Graduates are employed as research-track faculty or lecturers at universities and colleges as well as governmental labs, industrial research centers, and private industry.  We have had 95% success at employing Industrial Math graduates.

Admissions Requirements

Applicants are welcomed from any undergraduate technical major, including computer science, chemistry, engineering, math, physics and statistics. Undergraduate linear algebra, multivariate calculus and differential equations is prerequisite, as is computer programming experience.

Application to the Industrial MS program is through the USU School of Graduate Studies website,

    http://rgs.usu.edu/graduateschool/admissions/

Students must provide:

  • GRE general scores (subject exams not required).  We look for Quantitative scores above 60% and Verbal scores above 40%, but the application process is competitive so higher scores may be neccessary be competitive with other applicants.
  • TOEFL or IELTS (unless you have earned a degree in an English-speaking country, e.g. US, UK or Canada).  To qualify for a teaching assistantship in our department the total TOEFL iBT score must be 100 or above.  IELTS must be at or above 6.5 for TA consideration.
  • Transcripts of all past coursework.  Your GPA *must* be above 3.0 during the last two years, and *should* be above 3.5 in technical subjects.
  • Contact information for three references who can speak to your academic preparation, professional goals and work ethic.
  • Personal statements on our Departmental Application Form (request from the Graduate Program Coordinator, gary.tanner@usu.edu).

International students have additional admissions requirements.


Admissions Deadlines

Most students are admitted in Fall semester.  The target date for Fall semester applications is January 15; admission notice and offers of support are generally mailed in March.  Students are asked to accept/decline offers of support on or about April 15.


Master's Degree Plan Option(s)

Students can receive the MS by pursuing the following option:

  • The Plan B option requires the production of a paper or creative work of art and is expected to reflect equivalent scholarship standards as a thesis.

Financial Assistance

A majority of students receive major financial assistance with their studies via teaching or research assistantships. All students that meet the qualifications may receive tuition awards and subsidized health insurance as well.

A variety of additional funding opportunities are available, including fellowships, scholarships, and travel support.


Michael Cortez, PhD, Cornell University
Assistant Professor
Area: Dynamical systems, ecological-evolutionary dynamics of populations
Office: ANSC 216
Phone: (435) 797-7695
Email: michael.cortez@usu.edu


Joseph Koebbe, PhD, University of Wyoming
Associate Professor
Area: Applied mathematics, computational fluid dynamics
Office: ANSC 209
Phone: (435) 797-2825
Email: joe.koebbe@usu.edu


Brynja Kohler, PhD, University of Utah
Associate Professor
Area: Mathematics education, mathematical biology
Office: ANSC 223
Phone: (435) 797-2826
Email: brynja.kohler@usu.edu


James Powell, PhD, University of Arizona
Professor
Area: Applied mathematics, mathematical biology, nonlinear evolution equations
Office: ANSC 214
Phone: (435) 797-1953
Email: jim.powell@usu.edu


John Stevens, PhD, Purdue University
Associate Professor, Assistant Department Head for Graduate Studies
Area: Bioinformatics, applied statistics, meta-analysis
Office: ANSC 224
Phone: (435) 797-2818
Email: john.r.stevens@usu.edu


Jia Zhao, PhD, University of South Carolina
Assistant Professor
Area: Numerical analysis, mathematical biology, scientific computing
Office: ANSC
Phone: (435) 797-0747
Email: jia.zhao@usu.edu


Professional Organizations, Honor Societies, and Clubs

Society for Industrial and Applied Mathematics: SIAM is the largest organization of applied and computational mathematicians working in industry, academe, and government. SIAM fosters the development of applied mathematical and computational methodologies needed in these various application areas. Through publications, research, and community, the mission of SIAM is to build cooperation between mathematics and the worlds of science and technology.


Advising

John Stevens
Associate Professor, Assistant Department Head for Graduate Studies
Office: ANSC 224
Phone: (435) 797-2818
Email: john.r.stevens@usu.edu



Department:
- Mathematics and Statistics Department

College:
- College of Science

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