Applied Scientific Modeling Option

This option is designed to fit well with majors in Physics or Engineering and matches particularly well with the Electrical Engineering curriculum. It is ideal as a second major for students planning to pursue graduate study in science or engineering.

Required Courses (29-30 cr):

  • Math 170,175 and 275 Analytic Geometry and Calculus (11cr)
  • Math 330 Linear Algebra or 430 Advanced Linear Algebra (3cr)
  • CS 112 Introduction to Problem Solving and Programming (3 cr) or CS 120 Computer Science I (4 cr)
  • Math 310 Ordinary Differential Equations (3 cr)
  • Math 451 Probability Theory (3 cr)
  • Math 437 Mathematical Biology or WLF 504 (Ecological Modeling) or ECE 455 Information and Coding Theory (3 cr)  
  • Stat 301 Probability and Statistics or Math 452 Mathematical Statistics (3 cr)

Five additional courses from the following (15 cr):

  • Math 326 Linear Programming (3 cr)
  • Math 371 Mathematical Physics (3 cr)
  • Math 376 Discrete Mathematics II (3 cr)
  • Math 415 Cryptography (3 cr)
  • Math 420 Complex Variables (3 cr)  
  • Math 426 Discrete Optimization (3 cr)
  • Math 431 Numerical Methods (3 cr)
  • Math 432 Numerical Linear Algebra (3 cr)
  • Math 437 Mathematical Biology (3 cr) 
  • Math 452 Mathematical Statistics (3 cr)
  • Math 453 Stochastic Models (3 cr)
  • Math 471 Introduction to Analysis I (3 cr)
  • Math 472 Introduction to Analysis II (3 cr)
  • Math 476 Combinatorics (3 cr)
  • Math 480 Partial Differential Equations (3 cr)
  • Stat 301 Probability and Statistics (3 cr)
  • ECE 350 Signals and Systems I (3 cr)
  • ECE 450 Signals and Systems II (3 cr)
  • ECE 455 Information and Coding Theory (3 cr)

Six credits in approved electives at the 300 level or above in one area of science, engineering, or other quantitative area (6 cr).

  • 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.