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Industrial Mathematics: MS

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

Industrial Mathematics

The industrial mathematics MS 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. Thesis research topics are suggested by industrial and scientific internship partners; recent research has used path planning algorithms to govern robotic devices in complicated environments or developed mathematical models and dynamical systems approaches to optimize genetic amplification technology for industrial pathogen detection. Applicants are welcomed from any undergraduate technical major, including computer science, chemistry, engineering, math, physics, statistics, etc.

The department’s excellent ratio of graduate students to faculty permits close personal guidance for each student. Students are able to tailor their programs of study to match their interests in specific areas of mathematics and statistics as well as interdisciplinary research.


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.

The MS degree prepares students for jobs in the following areas:

  • Industry
  • Industrial research
  • Government research
  • Teaching at community colleges

This degree also prepares students for entry into doctoral programs in applied mathematics or statistics.

Admissions Requirements

Students from any technical undergraduate majors may be admitted, including computer science, chemistry, engineering, math, physics, statistics, etc. Undergraduate linear algebra, multivariate calculus, and differential equations are prerequisites, as is some computer programming experience.

Students are required to pass the advanced calculus examination or an examination based on material presented in core applied math courses chosen by the student. This exam must be taken before or during the student’s first year.

Application Requirements:

  • Complete the online application
  • Pay the $55 application fee
  • Score at or above the 40th percentile on the GRE (score of 700 out of 800 on the quantitative section)
  • Have a 3.0 or higher GPA on your last 60 semester or 90 quarter credits
  • Provide transcripts of all college/university credits
  • Provide three contacts for letters of recommendation

International students have additional admissions requirements.

Admissions Deadlines

The department has the following application deadline:

  • Fall semester – February 1

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.

Ian Anderson, PhD, University of Arizona
Area: Differential geometry, global analysis
Office: ANSC 302
Phone: (435) 797-2822

David Brown, PhD, University of Colorado - Denver
Associate Professor
Area: Discrete mathematics, graph theory
Office: ANSC 202
Phone: (435) 797-3224

James Cangelosi, PhD, Louisiana State University
Area: Constructivism in mathematics education, psychometrics, behavior management
Office: ANSC 324
Phone: (435) 797-1415

Lawrence Cannon, PhD, University of Utah
Area: Topology, algebra
Office: ANSC 305
Phone: (435) 797-2829

Chris Corcoran, ScD, Harvard University
Associate Professor, Associate Department Head
Area: Epidemiology, biostatics, statistical genetics, categorical data, permutation methods
Office: ANSC 109
Phone: (435) 797-4012

Daniel Coster, PhD, University of California - Berkeley
Area: Optimal design, computational statistics
Office: ANSC 219
Phone: (435) 797-2815

Adele Cutler, PhD, University of California - Berkeley
Area: Statistical computing, statistics
Office: ANSC 308
Phone: (435) 797-2761

Richard Cutler, PhD, University of California - Berkeley
Department Head, Professor
Area: Environmental and ecological statistics, experimental design
Office: ANSC 101
Phone: (435) 797-2595

Mark Fels, PhD, McGill University
Area: Differential geometry, differential equations
Office: ANSC 303
Phone: (435) 797-0774

Nathan Geer, PhD, University of Oregon
Assistant Professor
Area: Low-dimensional topology, lie theory
Office: ANSC 316
Phone: (435) 797-0755

E. Robert Heal, PhD, University of Utah
Area: Analysis, statistics
Office: ANSC 306
Phone: (435) 797-2853

Joseph Koebbe, PhD, University of Wyoming
Associate Professor
Area: Applied mathematics, computational fluid dynamics
Office: ANSC 209
Phone: (435) 797-2825

Brynja Kohler, PhD, University of Utah
Assistant Professor
Area: Mathematics education, mathematical biology
Office: ANSC 223
Phone: (435) 797-2826

Piotr Kokoszka, PhD, Boston University
Area: Statistics, time series analysis
Office: LUND 321
Phone: (435) 797-0746

Nghiem Nguyen, PhD, University of Illinois - Chicago
Assistant Professor
Area: Partial differential equations, nonlinear analysis
Office: ANSC 201
Phone: (435) 797-2819

James Powell, PhD, University of Arizona
Area: Applied mathematics, mathematical biology, nonlinear evolution equations
Office: ANSC 214
Phone: (435) 797-1953

Kady Schneiter, PhD, Utah State University
Assistant Professor
Area: Statistics, mathematics education
Office: ANSC 323
Phone: (435) 797-2820

John Stevens, PhD, Purdue University
Assistant Professor
Area: Bioinformatics, applied statistics, meta-analysis
Office: ANSC 224
Phone: (435) 797-2818

Jurgen Symanzik, PhD, Iowa State University
Associate Professor
Area: Dynamic statistical graphics, geographic information systems, virtual reality and statistics, web-based applications in statistics
Office: ANSC 313
Phone: (435) 797-0696

Zhi-Qiang Wang, PhD, Institute of Mathematics - Beijing
Area: Differential equations, variational and topological methods
Office: ANSC 205
Phone: (435) 797-3529

Dariusz Wilczynski, PhD, Indiana University
Associate Professor
Area: Geometric and algebraic topology
Office: ANSC 204
Phone: (435) 797-0747

Stanley Williams, PhD, North Texas State University
Area: Measure theory, analysis
Office: ANSC 210
Phone: (435) 797-2833

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.


Chris Corcoran
Associate Professor, Associate Department Head
Office: ANSC 109
Phone: (435) 797-4012

- Mathematics and Statistics Department

- College of Science

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