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 here.  

Preparatory Subject Matter (26-31 units)

  • MAT 16A-B-C or 17A-B-C or 21A-B-C Calculus (21 series recommended)
  • MAT 22A Linear Algebra
  • ECS 30 Programming and Problem Solving or ECS 40 Software Development and Object-Oriented 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 (51-56 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 Courses
  • STA 130B Mathematical Statistics: Brief Courses

Three courses from:

  • STA 104 Nonparametric Statistics
  • STA 135 Multivariate Data Analysis
  • STA 137 Applied Time Series Analysis
  • STA 142 Reliability*
  • STA 144 Sampling Theory of Surveys
  • STA 145 Bayesian Statistical Inference

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 pre-approved courses here.  Any deviation from this list must be approved by the major adviser.

*course no longer offered

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 here.  

Preparatory Subject Matter (19-22units)

  • MAT 16 A-B-C or MAT 17 A-B-C or MAT 21 A-B-C Calculus
  • MAT 22A Linear Algebra
  • ECS 30 Programming and Problem Solving or ECS 40 Software Development and Object-Oriented 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 (45-48 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 141 Statistical Computing or STA 141A Fundamentals of Statistical Data Science
  • STA 142 Reliability*
  • STA 144 Sampling Theory of Surveys
  • STA 145 Bayesian Statistical Inference

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 pre-approved courses here.  Any deviation from this list must be approved by the major adviser.

*course no longer offered

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