The alignment matrix for student learning outcomes (SLOs) for the Undergraduate Degree in Statistics and Data Science is as follows:
Required
Courses STAT 
325, 340, 350 
341, 351 
510 
511 
705 
710, 720, 722 
725, 726 
700level electives 
Degree program SLOs 








Underlying principles, computational
methods, and applications of: 








Calculusbased 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