Mathematics & Data Analytics

Complete the following courses:

• MTH 144 - Introduction to the Mathematics Major (1)
• MTH 235 - Calculus (4)
• MTH 250 - Foundations of Mathematics (3)
• MTH 303 - Linear Algebra (3)
• MTH 335 - Advanced Applications of Calculus (4)
• MTH 403 - Abstract Algebra (3) or
•    MTH 433 - Introductory Analysis (3) or
•    MTH 415 - An Introduction to the Theory of Probability and Statistics (3)
• MTH 496 - Mathematics Seminar I (1)
• MTH 497 - Mathematics Seminar II (2)

• Note: RES 495 and RES 496 for 1 credit each may be substituted for MTH 497.

Complete 36 Credits in Mathematics with a cumulative grade point average of 2.00 or above

Complete 15 additional credits in Mathematics above and including MTH 225, excluding the following courses:

• MTH 324 - Teaching of Mathematics I (0-2)
• MTH 325 - Teaching of Mathematics II (0-1)
• MTH 326 - Teaching of Mathematics III (4)
• MTH 327 - Middle School Methods (2)

Complete the following cognate courses:

• IST 145 - Introduction to Programming and Problem-Solving (3)

Four-Year Plan

Advising Guide - Mathematics and Data Analytics  

Complete 40 Credits in Mathematics with a cumulative grade point average of 2.80 or above

Complete three additional credits in Mathematics at the 300-400 level

Complete the following cognate course:

• IST 145 - Introduction to Programming and Problem-Solving (3)

All requirements listed under the catalog section Secondary Education

Secondary Education 

Four-Year Plan

Advising Guide - Math, Teaching  

Graduate study (mathematics):

• MTH 403 - Abstract Algebra (3)
• MTH 433 - Introductory Analysis (3)
• and as many additional 300-400 level mathematics courses as possible

Graduate study (statistics):

• MTH 225 - Probability and Statistics for Engineering and the Physical Sciences (4)
• MTH 315 - Multivariate Statistics (3)
• MTH 316 - Categorical Data Analytics (3)
• MTH 335 - Advanced Applications of Calculus (4)
• MTH 337 - Multivariate Calculus (4)
• MTH 415 - An Introduction to the Theory of Probability and Statistics (3)

Graduate study (computer science):

• MTH 225 - Probability and Statistics for Engineering and the Physical Sciences (4)
• MTH 315 - Multivariate Statistics (3) or
•    MTH 316 - Categorical Data Analytics (3)
• MTH 415 - An Introduction to the Theory of Probability and Statistics (3) or
•    MTH 433 - Introductory Analysis (3)

Actuarial science:

• MTH 225 - Probability and Statistics for Engineering and the Physical Sciences (4)
• MTH 315 - Multivariate Statistics (3)
• MTH 316 - Categorical Data Analytics (3)
• MTH 335 - Advanced Applications of Calculus (4)
• MTH 337 - Multivariate Calculus (4)
• MTH 415 - An Introduction to the Theory of Probability and Statistics (3)

Pre-engineering:

• MTH 334 - Complex Variables (3)
• MTH 335 - Advanced Applications of Calculus (4)
• MTH 337 - Multivariate Calculus (4)
• MTH 225 - Probability and Statistics for Engineering and the Physical Sciences (4)