Student Learning Outcomes

1. Demonstrate facility with the basic mathematics techniques used in statistical theory and applications.
2. Effectively communicate statistical ideas.
3. Manipulate and summarize data efficiently and effectively.
4. Formulate statistical models and perform statistical inferences using fundamental concepts and principles of statistics.
5. Conduct data analysis using various statistical methods and summarize findings.
6. Demonstrate advanced knowledge and skills in statistical computing.
7. Demonstrate advanced knowledge and skills in statistical modeling and applications.

Preliminary Requirements (25 credits)

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.

• MAT 221 - Elementary Probability and Statistics I
• MAT 222 - Elementary Probability and Statistics II
• MAT 295 - Calculus I
• MAT 296 - Calculus II
• MAT 331 - First Course in Linear Algebra
• MAT 397 - Calculus III
• MAT 422 - Statistical Computing

Statistics Core Requirements (15 credits)

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:

• MAT 521 - Introduction to Probability
• MAT 524 - Regression Analysis
• MAT 525 - Mathematical Statistics
• MAT 527 - Analysis of Variance and Experimental Design
• MAT 598 - Statistics Seminar

Upper-Division Electives (15 credits)

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

• At least two courses from the following list (495, 526, 528, 529) must be included in the 15 credits:

• MAT 495 - Fundamentals of Data Science
• MAT 526 - Introduction to Stochastic Processes
• MAT 528 - Probability Models for Actuarial Science
• MAT 529 - Introduction to Bayesian Statistics

•  

• MAT 412 - Introduction to Real Analysis I
• MAT 511 - Advanced Calculus
• MAT 512 - Introduction to Real Analysis II
• MAT 513 - Introduction to Complex Analysis
• MAT 517 - Partial Differential Equations and Fourier Series
• MAT 518 - Fourier Series, Transforms and Wavelets
• MAT 531 - Second Course in Linear Algebra
• MAT 532 - Applied Linear Algebra
• MAT 545 - Introduction to Combinatorics
• MAT 551 - Fundamental Concepts of Geometry
• MAT 562 - Elementary Topology
• MAT 581 - Numerical Methods with Programming

Distinction in Statistics

Distinction in Statistics is awarded by the Mathematics Department upon completion of a B.S. in Statistics with a minimum cumulative GPA of 3.4, a minimum GPA of 3.6 in mathematics (MAT) courses at the 300+ level, and either an A or A- in the Statistics Seminar.