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)