B.S./A.B. in Statistics: Applied Statistics
B.S. in Statistics  Applied Statistics Option
Recommended for students interested in the application of statistics to another field, such as the biological or social sciences.
Notes:
These requirements were put into effect Fall 2008. For requirements from previous years please consult the General Catalog Archive.
Beginning Fall 2016 the Department of Statistics will be offering several new data science courses (STA 141B, 141C, and 160) that may be used to fulfill some of the major requirements for the Applied B.S. track. You can view how these courses may be substituted below. A printable PDF can be found here.
Preparatory Subject Matter (2631 units)
 MAT 16ABC or 17ABC or 21ABC Calculus (21 series recommended)
 MAT 22A Linear Algebra
 ECS 30 Programming and Problem Solving or ECS 40 Software Development and ObjectOriented Programming (ECS 10 should be taken before ECS 30 or 40 if programming experience is limited)
 2 Introductory courses serving as the prerequisites to upper division courses in a chosen discipline to which statistics is applied
 Any one introductory statistics course except STA 10 (STA 32 recommended)
Depth Subject Matter (5156 units)
 STA 106 Analysis of Variance
 STA 108 Regression Analysis
 STA 138 Analysis of Categorical Data
 STA 141A Fundamentals of Statistical Data Science (formerly called STA 141)
 STA 130A Mathematical Statistics: Brief Course
 STA 130B Mathematical Statistics: Brief Course
Three courses from:
 STA 104 Nonparametric Statistics
 STA 135 Multivariate Data Analysis
 STA 137 Applied Time Series Analysis
 STA 141B Data & Web Technologies for Data Analysis (~New Course~)
or STA 141C Big Data & High Performance Statistical Computing (~New Course~)  STA 142 Reliability (discontinued)
 STA 144 Sampling Theory of Surveys
 STA 145 Bayesian Statistical Inference
 STA 160 Practice in Statistical Data Science (~New Course~)
 Note: One approved course of 4 units from STA 199, 194HA, or 194HB may be used.
Five upper division elective courses outside of statistics:
The electives are chosen with and must be approved by the major adviser. They should follow a coherent sequence in one single discipline where statistical methods and models are applied. At least three of them should cover the quantitative aspects of the discipline. You can view a list of preapproved courses here. Any deviation from this list must be approved by the major adviser.
Sample Four Year Schedule
Freshman 
Fall 
Winter 
Spring 
MAT 16/17/21 A 
MAT 16/17/21 B 
MAT 16/17/21 c 

LD Elective 
LD Elective 
Intro STA* 

Sophomore 
Fall 
Winter 
Spring 
STA 108 
STA 106 
ECS 30 or 40** 

MAT 022A 
UD Elective 
UD Elective 

Junior 
Fall 
Winter 
Spring 
STA 130A 
STA 130B 
STA 1XX 

STA 141 or 141A 
UD Elective 
UD Elective 

Senior 
Fall 
Winter 
Spring 
STA 138 
STA 1XX 
STA 1XX 

UD Elective 
*Intro STA: Choose from STA 13, 32, or 100. STA 032 is strongly recommended.
**ECS 10 should be taken before ECS 30 or 40 if programming experience is limited
UD=Upper Division, LD=Lower Division
A.B. in Statistics  Applied Statistics Option
Recommended for students who are interested in combining statistics study with a second major or minor program in the social sciences.
Notes:
These requirements were put into effect Fall 2010. For requirements from previous years please consult the General Catalog Archive.
Beginning Fall 2016 the Department of Statistics will be offering several new data science couses (STA 141B, 141C, and 160) that may be used to fulfill some of the major requirements for the A.B major. You can view how these courses may be substituted below. A printable PDF can be found here.
Preparatory Subject Matter (1922units)
 MAT 16 ABC or MAT 17 ABC or MAT 21 ABC Calculus
 MAT 22A Linear Algebra
 ECS 30 Programming and Problem Solving or ECS 40 Software Development and ObjectOriented Programming (ECS 10 should be taken before ECS 30 or 40 if programming experience is limited)
 STA 32 Introductory Statistical Analysis Through Computers
Depth Subject Matter (4548 units)
 STA 106 Analysis of Variance
 STA 108 Regression Analysis
 STA 138 Analysis of Categorical Data
 STA 130A Mathematical Statistics: Brief Courses
 STA 130B Mathematical Statistics: Brief Courses
 STA 137 Applied Time Series Analysis or STA 141A Fundamentals of Statistical Data Science (formerly called STA 141)
Three courses from:
 STA 104 Nonparametric Statistics
 STA 135 Multivariate Data Analysis
 STA 137 Applied Time Series Analysis
 STA 141A Fundamentals of Statistical Data Science (formerly called STA 141)
 STA 141B Data & Web Technologies for Data Analysis (~New Course~)
or STA 141C Big Data & High Performance Statistical Computing (~New Course~)  STA 142 Reliability (discontinued)
 STA 144 Sampling Theory of Surveys
 STA 145 Bayesian Statistical Inference
 STA 160 Practice in Statistical Data Science (~New Course~)
 Note: One approved course of 4 units from STA 199, 194HA, or 194HB may be used.
Three elective courses outside of Statistics:
The electives must be approved by the major advisor. They should follow a coherent sequence in a single discipline in the social sciences where statistical methods and models are applied and should cover the quantitative aspects of the discipline. You can view a list of preapproved courses here. Any deviation from this list must be approved by the major adviser.
Sample Four Year Schedule
Freshman 
Fall 
Winter 
Spring 
MAT 16/17/21 A 
MAT 16/17/21 B 
MAT 16/17/21 C 

STA 32 

Sophomore 
Fall 
Winter 
Spring 
STA 108 
STA 106 
ECS 030* 

MAT 022A 
UD Elective 

Junior 
Fall 
Winter 
Spring 
STA 130A 
STA130B 
STA 1XX 

STA 137 or 141 or 141A 
UD Elective 
UD Elective 

Senior 
Fall 
Winter 
Spring 
STA 138 
STA 1XX 
STA 1XX 
*ECS 10 should be taken before ECS 30 or 40 if programming experience is limited
UD=Upper Division