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Mathematics & Statistics

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We provide a strong foundation for liberal arts students, preparing them for natural, social sciences, and professional fields.

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Undergraduate programs

Mathematics

Undergrad major Undergrad minor Teacher license Graduate degree

Mathematics is the science and art of pattern and idea. Applied math is a branch of mathematics that concerns itself with mathematical methods used in science, engineering, business and industry. There is no area that does not require some form of mathematical or statistical thought. It is an integral part of the liberal arts education and is the foundation for many areas of study.

Areas of study

Applied Emphasis

Applied math is a branch of mathematics that concerns itself with mathematical methods used in science, engineering, business and industry. 

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Education

The Mathematics Education Program and associated benchmark assessments lead to endorsement for a Wisconsin teaching license in middle and high school mathematics for grades 4-12 (1400). Students in all education programs must satisfy the School of Education (SOE) core requirements.

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Undergrad dual degree

Receive an undergraduate degree in both Mathematics and Engineering. This degree path involves collaboration with partner institutions. Students who express interest in the dual degree program will be selected for entrance into the UW-Madison, UW-Milwaukee, UW-Platteville, UW-Stout, University of Minnesota Duluth, or Winona State University for a portion of the program.

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Statistics

Undergrad major Undergrad minor Graduate degree

Statistics is the science of collecting, analyzing, and making inferences from data. There is no area of STEM, social science or business that does not require some form of statistical thought. It is an integral part of the liberal arts education and is the foundation for many areas of study.

Areas of study

Actuarial Science Concentration

Actuarial science is the use of mathematical and statistics tools to aid in decision making, particularly the assessment of risk.

 

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Applied Statistics

Graduate degree

Undergrad + graduate dual degree

This dual degree program enables students to earn both a Bachelor of Science degree with a statistics major and a Master of Science degree in applied statistics in five years.

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Communication, Writing, and Critical Reasoning

Undergrad minor
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Mathematics for Teachers

Undergrad minor

Graduate programs

Data Science

Graduate degree Graduate certificate The online MS and Certificate in Data Science teach you to clean, analyze, and interpret unstructured data, using visualization and clear communication.
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Applied Statistics

Graduate degree Statisticians turn numbers into insights, driving decisions in fields like medicine, marketing, space exploration, and resource management.
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Featured courses

  • Statistical Computing
    STAT 345 | 3 credits
    This is an introductory course covering fundamentals of modern statistical computing. Topics include core programming concepts such as functions, data structures and debugging. Stochastic simulations and random variable generation are introduced, as well as accessing, filtering, and analyzing data from other resources. The R language is used. Prerequisite: STAT 145 or STAT 245. Offered Spring.
  • Correlation and Regression Analysis
    STAT 445 | 3 credits
    This course is an introduction to simple linear regression, multiple regression, polynomial regression. Inferences, appropriateness of model, model diagnostics/adequacy, difficulties in the application of models are discussed. A computer package is used. Course participants are involved with hands-on statistical applications and consulting. This course is taught largely at an undergraduate level. Graduate students have additional course requirements/expectations. Prerequisite: grade of "C" or better in STAT 305 or STAT 345; junior standing. Offered Fall.
  • Applied Multivariate Statistics
    STAT 449 | 3 credits
    This course is an introduction to applied multivariate statistical methods covering multivariate analysis of variance, multivariate analysis of covariance, repeated measures design, factor analysis, principle component analysis, cluster analysis, discriminate analysis, and multivariate regression. Course participants are involved with hands-on statistical applications. This course is taught largely at an undergraduate level. Graduate students have additional course requirements/expectations. Prerequisite: grade of "C" or better in STAT 305 or STAT 345; junior standing. Offered Fall - Odd Numbered Years.
  • Foundations of Advanced Mathematics
    MTH 225 | 4 credits
    An introduction to mathematical reasoning. Mathematical logic, including quantification and the predicate calculus is introduced and used to discuss set theory, relations, functions, counting, graphs, and algorithms. Elementary proofs, including proofs by induction are stressed. Prerequisite: grade of "C" or better in MTH 175 or MTH 207. Course not open to those who have credit in CS 225. Offered Fall, Spring.
  • Linear Algebra
    MTH 309 | 4 credits
    This course is an introduction to the fundamental concepts of linear algebra. Topics include systems of linear equations, matrices, vector spaces, subspaces, basis and dimension, linear transformations and their matrix representations, similar matrices and diagonalization, projections and orthogonalization, and applications. In addition to computational proficiency, there is an emphasis on conceptual understanding of definitions and theorems, as well as the comprehension and construction of proofs. Prerequisite: grade of "C" or better in MTH 208; grade of "C" or better in MTH 225 or CS 225. Offered Fall, Spring.
  • Calculus III: Multivariable Calculus
    MTH 310 | 4 credits
    A continuation of Calculus II with a rigorous introduction to vector and multivariable calculus. Topics include vectors, parametric curves, partial derivatives, directional derivatives, the chain rule, Lagrange multipliers, extrema, double and triple integrals, the Jacobian and change of coordinates, and vector calculus in 2-D and 3-D spaces culminating with Green's Theorem, Stokes' Theorem, and the Divergence Theorem. Prerequisite: grade of "C" or better in MTH 208. Offered Fall, Spring.
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Portrait of Mary Vaughan

Hear from an alum

Mary Vaughan

I have often wondered if I would have earned my Ph.D. if I had attended a different school for my undergraduate studies. As an undergrad, I worked hard, but I lacked confidence. It was my collective teachers and mentors at UWL that helped me seize the opportunities that have led me to where I am today — across the world in Australia!

Portrait of Haley Klundt

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Haley Klundt

My math professors at UWL instilled in me the importance of perseverance, curiosity, and confidence, often through tough love and by pushing me to reach beyond my self-prescribed boundaries.