Prerequisites:

• MATH 141 - Calculus I Credits: 4
• MATH 142 - Calculus II Credits: 4
• MATH 241 - Vector Calculus Credits: 3

Core Courses (9 Hours)

• MATH 511 - Probability Credits: 3 or STAT 511 - Probability  
• STAT 512 - Mathematical Statistics Credits: 3
• STAT 513 - Theory of Statistical Inference Credits: 3

Three Additional Courses Selected from the Following (9 Hours):

• MATH 344 - Applied Linear Algebra Credits: 3 or MATH 544 - Linear Algebra  (prerequisite MATH 300 )
• MATH 514 - Financial Mathematics I Credits: 3

• or STAT 522 - Financial Mathematics I 

• MATH 515 - Financial Mathematics II Credits: 3 or STAT 523 - Financial Mathematics II 
• MATH 520 - Ordinary Differential Equations Credits: 3 (prerequisite MATH 344  or 544 )
• MATH 524 - Nonlinear Optimization Credits: 3 (prerequisite MATH 344  or 544 )
• MATH 570 - Discrete Optimization Credits: 3 (prerequisite MATH 300 )
• MATH 574 - Discrete Mathematics I Credits: 3 (prerequisite MATH 300 )
• STAT 520 - Forecasting and Time Series Credits: 3
• STAT 521 - Applied Stochastic Processes Credits: 3
• STAT 587 - Big Data Analytics Credits: 3 or CSCE 587  (prerequisite STAT 513 )

Note:

Only one of MATH 344/544 may be counted for the minor.