The General Statistics concentration provides a solid foundation in statistical theory as well as education and training in modern statistical methods.

Effective Fall 2017

Freshman
AUCCCredits
CO 150College Composition (GT-CO2)1A3
MATH 160Calculus for Physical Scientists I (GT-MA1)1B4
MATH 161Calculus for Physical Scientists II (GT-MA1)1B4
STAT 158Introduction to R Programming 1
STAT 315Statistics for Engineers and Scientists 3
Global and Cultural Awareness3E3
Historical Perspectives3D3
Electives 9
 Total Credits 30
Sophomore
 
JTC 300Professional and Technical Communication (GT-CO3)23
MATH 261Calculus for Physical Scientists III 4
MATH 235Introduction to Mathematical Reasoning 2
MATH 369Linear Algebra I 3
STAT 341Statistical Data Analysis I 3
STAT 342Statistical Data Analysis II 3
Select one group from the following: 4
Group A:  
Java (CS1) No Prior Programming
Java (CS1) Prior Programming
  
Group B:  
Introduction to Unix  
Introduction to C Programming I  
In addition to CS 155 and CS 156, select at least two of the following:
  
Introduction to C Programming II  
Mathematical Algorithms in C  
Mathematical Algorithms in Matlab I  
Mathematical Algorithms in Maple  
Biological and Physical Sciences3A7
 Total Credits 29
Junior
 
MATH 317Advanced Calculus of One Variable 3
STAT 358Introduction to Statistical Computing in SAS 2
STAT 420Probability and Mathematical Statistics I 3
STAT 430Probability and Mathematical Statistics II4A3
Select one course from the following: 3
Statistical Computing  
Bayesian Data Analysis  
Select one course from the following: 3
Sampling Techniques  
Applied Multivariate Analysis  
Arts and Humanities3B6
Social and Behavioral Sciences3C3
Upper-Division CS/MATH/STAT Electives1 3
 Total Credits 29
Senior
 
STAT 472Statistical Consulting4A,4B,4C3
Upper-Division CS/MATH/STAT Elective1 3
Electives2 26
 Total Credits 32
 Program Total Credits: 120
1

 Select upper-division (300- to 400-level) computer science, mathematics, or statistics courses (excluding courses ending in -82 to-99).

2

 Select enough elective credits to bring the program total to a minimum of 120 credits, of which at least 42 must be upper-division (300- to 400-level).

Freshman
Semester 1CriticalRecommendedAUCCCredits
CO 150College Composition (GT-CO2) X1A3
MATH 160Calculus for Physical Scientists I (GT-MA1)X 1B4
STAT 158Introduction to R Programming   1
Global and Cultural Awareness  3E3
Elective   3
 Total Credits   14
Semester 2CriticalRecommendedAUCCCredits
MATH 161Calculus for Physical Scientists II (GT-MA1)X 1B4
STAT 315Statistics for Engineers and Scientists   3
Historical Perspectives  3D3
Electives   6
 Total Credits   16
Sophomore
Semester 3CriticalRecommendedAUCCCredits
Select one group from the following:X  4
Group A:    
Java (CS1) No Prior Programming    
Java (CS1) Prior Programming    
Group B:    
Introduction to Unix    
Introduction to C Programming I    
In addition to CS 155 or CS 156, select at least two of the following:    
Introduction to C Programming II    
Mathematical Algorithms in C    
Mathematical Algorithms in Matlab I    
Mathematical Algorithms in Maple    
MATH 261Calculus for Physical Scientists IIIX  4
STAT 341Statistical Data Analysis I   3
Biological and Physical Sciences  3A3
 Total Credits   14
Semester 4CriticalRecommendedAUCCCredits
JTC 300Professional and Technical Communication (GT-CO3)  23
MATH 235Introduction to Mathematical Reasoning   2
MATH 369Linear Algebra I   3
STAT 342Statistical Data Analysis II   3
Biological and Physical Sciences  3A4
 Total Credits   15
Junior
Semester 5CriticalRecommendedAUCCCredits
MATH 317Advanced Calculus of One Variable   3
STAT 420Probability and Mathematical Statistics I   3
Select one course from the following:   3
Sampling Techniques    
Applied Multivariate Analysis    
Arts and Humanities  3B3
Social and Behavioral Sciences  3C3
 Total Credits   15
Semester 6CriticalRecommendedAUCCCredits
STAT 358Introduction to Statistical Computing in SAS   2
STAT 430Probability and Mathematical Statistics II  4A3
Select one course from the following:   3
Statistical Computing    
Bayesian Data Analysis    
Arts and Humanities  3B3
Upper-Division CS/MATH/STAT Elective   3
STAT 341 and STAT 342 must be completed by the end of Semester 6.X   
 Total Credits   14
Senior
Semester 7CriticalRecommendedAUCCCredits
Electives   15
 Total Credits   15
Semester 8CriticalRecommendedAUCCCredits
STAT 472Statistical ConsultingX 4A,4B,4C3
Upper-Division CS/MATH/STAT ElectiveX  3
ElectivesX  11
The benchmark courses for the 8th semester are the remaining courses in the entire program of study.X   
 Total Credits   17
 Program Total Credits:   120