The alignment matrix for student learning outcomes (SLOs) for the Undergraduate Degree in Statistics and Data Science is as follows:

Required Courses

STAT

225,

240, 250

341, 351

610

611

705

710,

720, 722

725, 726

700-level electives

Degree program SLOs

 

 

 

 

 

 

 

 

Underlying principles, computational methods, and applications of:

 

 

 

 

 

 

 

 

Calculus-based probability

 

 

A

X

 

 

 

X

Statistical inference

X

X

X

A

X

X

X

X

Applied linear models

 

X

 

X

A

X

X

X

Statistical design

X

X

 

 

X

A

 

X

University SLOs

 

 

 

 

 

 

 

 

Knowledge

X

X

A

A

A

A

X

X

Critical thinking

X

X

X

X

A

A

X

X

Communication

X

X

 

 

A

A

 

X

Diversity

X

X

 

 

 

 

 

 

Academic and

professional integrity

X

X

 

 

X

X

 

X

 

An “X” denotes courses in which students have the opportunity to learn the outcome.

An “A” denotes courses in which student performance is used for program�level assessment of the outcome

Updated: 10/14/25