Statistics, BS (Not Admitting Students, Fall 2026)

Student Learning Outcomes

Preliminary Requirements

As a preliminary requirement for the statistics major, students complete 25 credits in the following classes with no grade below a C: MAT 221, MAT 222, MAT 295, MAT 296, MAT 331, MAT 397, and MAT 422. These courses are prerequisites for most upper-division statistics courses. The following sequence is recommended: MAT 221 and MAT 295 in the first semester; MAT 222 and MAT 296 in the second semester; MAT 331 and 397 in the third semester; and MAT 422 when appropriate. However, students with knowledge of trigonometry and a year of high school calculus may be able to enter the sequence at MAT 296 or even MAT 397; students with less preparation may be advised to complete MAT 194 before beginning the calculus sequence. Students considering becoming Statistics majors are strongly encouraged to talk to a major advisor as soon as possible.

1. MAT 221

   Elementary Probability and Statistics I
   4
2. MAT 222

   Elementary Probability and Statistics II
   3
3. MAT 295

   Calculus I
   4
4. MAT 296

   Calculus II
   4
5. MAT 331

   First Course in Linear Algebra
   3
6. MAT 397

   Calculus III
   4
7. MAT 422

   Statistical Computing
   3

Statistics Core Requirements

In addition to the preliminary requirement described above, students are required to complete the following statistics coursework with an average of at least 2.0:

1. MAT 521

   Introduction to Probability
   3
2. MAT 524

   Regression Analysis
   3
3. MAT 525

   Mathematical Statistics
   3
4. MAT 527

   Analysis of Variance and Experimental Design
   3
5. MAT 598

   Statistics Seminar
   3

Upper-Division Courses

1. Students are also required to complete 15 additional credits in mathematics (MAT) courses from the following list:

   Not resolved to a course
   15
2. At least two courses from the following list (495, 526, 528, 529) must be included in the 15 credits:

   Not resolved to a course
   6
3. MAT 495

   Fundamentals of Data Science
   3
4. MAT 526

   Introduction to Stochastic Processes
   3
5. MAT 528

   Probability Models for Actuarial Science
   3
6. MAT 529

   Introduction to Bayesian Statistics
   3
7. MAT 412

   Introduction to Real Analysis I
   3
8. MAT 511

   Advanced Calculus
   3
9. MAT 512

   Introduction to Real Analysis II
   3
10. MAT 513

    Introduction to Complex Analysis
    3
11. MAT 517

    Partial Differential Equations and Fourier Series
    3
12. MAT 518

    Fourier Series, Transforms and Wavelets
    3
13. MAT 531

    Second Course in Linear Algebra
    3
14. MAT 532

    Applied Linear Algebra
    3
15. MAT 545

    Introduction to Combinatorics
    3
16. MAT 551

    Fundamental Concepts of Geometry
    3
17. MAT 562

    Elementary Topology
    3
18. MAT 581

    Numerical Methods with Programming
    3

Course Substitutions

1. Up to 3 credits in other MAT courses numbered 490 or higher and in advanced courses in other departments that have been approved in advance by the student’s major advisor may be included in the 15 credits.

   Not resolved to a course
   3