Applied Statistics Option

This option emphasizes the design and analysis of experiments. With a major or minor in another department this is an excellent preparation for work in industry or for graduate school in Statistics.

Required courses (30-31 cr):

  • Math 170,175 and 275 Analytic Geometry and Calculus (11cr)
  • Math 330 Linear Algebra or Math 430 Advanced Linear Algebra (3cr)
  • CS 112 Introduction to Problem Solving and Programming (3 cr) or CS 120 Computer Science I (4 cr)
  • Stat 301 Probability and Statistics (or Stat 251 Principles of Statistics, but 301 is recommended) (3 cr)
  • Stat 401 Statistical Analysis (3 cr)
  • Math 451 Probability Theory (3 cr)
  • Math 452 Mathematical Statistics (3 cr)
  • Stat 423 Beginning SAS Programming (1 cr)

At least two courses from the following (6 cr):

  • Math 395 Analysis of Algorithms (3 cr)
  • Math 426 Discrete Optimization (3 cr)
  • Math 432 Numerical Methods (3 cr)
  • Math 431 Numerical Linear Algebra (3 cr)
  • Math 471 Advanced Calculus I (3 cr)
  • Math 472 Advanced Calculus II (3 cr)

At least two courses from the following (6 cr):

  • Math 453 Stochastic Models (3 cr)
  • Econ 353 Quantitative Economics and Forecasting (3 cr)
  • Stat 422 Sample Survey Methods (3 cr) 
  • Stat 507 Experimental Design (3 cr)
  • Stat 514 Nonparametrics (3 cr)
  • Stat 519 Multivariat Analysis (3 cr)
  • Stat 550 Regression (3 cr)
  • Stat 555 Statistical Ecology (3 cr)

Approved electives in fields where statistics is applied (6 cr)
(not to be in stat courses)

  • Math professor speaking with students
  • Math class in session

B.S. Mathematics

Develop problem-solving tools and sharp analytic skills required for careers in science, economics, engineering, business and education.

M.S., M.A.T. and Ph.D. in Mathematics

Our balanced curriculum emphasizes fundamental math concepts, hands-on research and specialized math skills.