B.S. in Applied Mathematics

Purpose: To provide the student with a basic background in mathematics and to provide training that emphasizes mathematics applicable to business, industry, and government. Students who plan to work in business and industry are advised to pursue this degree.

Requirements for a B.S. in Applied Mathematics:

Thirty-nine semester hours, nine hours of which must be at the 4000-level, including the following:

• MTH 1321 - Calculus I
• MTH 1322 - Calculus II
• MTH 2311 - Linear Algebra
• MTH 2321 - Calculus III
• MTH 3300 - Foundations of Mathematics
• STA 3381 - Probability and Statistics
• One of the following:
  • MTH 3312 - Combinatorics and Algebra
  • MTH 3323 - Introduction to Analysis
  • MTH 4314 - Abstract Algebra
  • MTH 4326 - Principles of Mathematical Analysis I

Nine semester hours from one of the following groups:

Statistical           

• STA 3386 - Regression Analysis
• STA 4385 - Mathematical Statistics I   
• STA 4386 - Mathematical Statistics II 
• STA 4387 - Introduction to Probability Models   

Differential       

• MTH 3325 - Ordinary Differential Equations      
• MTH 3326 - Partial Differential Equations
• MTH 4324 - Systems of Ordinary Differential Equations
• MTH 4329 - Theory of Functions of a Complex Variable  

Numerical

• MTH 3324 - Numerical Methods
• MTH 4322 - Numerical Analysis
• MTH 4328 - Numerical Linear Algebra

Nine semester hours of 3000-4000 level MTH or STA courses (not including MTH 3318, MTH 3340, MTH 4343, STA 4330 or elective transfer credit).

A grade of “C” or better in thirty-nine hours of MTH and STA courses used for the major.

Eight semester hours of required courses in other fields:

• One of the following:
  • CSI 1401 - Introduction to Programming I
  • CSI 1430 - Introduction to Computer Science I with Laboratory
  • STA 2450 - Introduction to Computing for the Mathematical & Statistical Sciences
• One of the following:
  • CSI 1402 - Introduction to Programming II
  • CSI 1440 - Introduction to Computer Science II with Laboratory
  • STA 4330 - SAS Programming for Statistical Science
  • STA 4350 - Statistical Machine Learning
  • STA 4373 - Computational Methods in Statistics

Eight semester hours of science courses with appropriate labs (with no more than 4 hours of GEO) selected from the following:

• BIO 1305 & 1105 or BIO 1306 & 1106
• CHE 1301 & 1101 or CHE 1302 & 1102
• ENV 1301 & ENV 1101
• GEO 1305 & 1105 or GEO 1306 & 1106 or GEO 1307 & 1106 or GEO 1401 or GEO 1402 or GEO 1403 or GEO 1408
• NSC 1306 & 1106 
• PHY 1420 or PHY 1430