B.S. in Statistics: Applied Statistics

This track emphasizes statistical applications. It is recommended for students who are interested in applications of statistical techniques to various disciplines including the biological, physical and social sciences.

B.S. in Statistics - Applied Statistics Track (Fall 2017 and Beyond)

Notes:  

These requirements were put into effect Fall 2017. For requirements from previous years please consult the General Catalog Archive.

Preparatory Subject Matter (27-31 units)

  • MAT 16A-B-C or 17A-B-C or 21A-B-C Calculus (21 series recommended)
  • MAT 22A Linear Algebra
  • ECS 10 or ECS 30 or ECS 40 Programming
  • 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 (48-52 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 
    or STA 141C Big Data & High Performance Statistical Computing 
  • STA 142 Reliability (discontinued)
  • STA 144 Sampling Theory of Surveys
  • STA 145 Bayesian Statistical Inference
  • STA 160 Practice in Statistical Data Science 
  • MAT 168 Optimization
  • One approved course of 4 units from STA 199, 194HA, or 194HB may be used. 

Four 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.

Total Units: 75-83

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 10 or 30 or 40

MAT 022A

UD Elective

UD Elective

Junior

Fall

Winter

Spring

STA 130A

STA 130B

STA 141 or 141A

STA 1XX

UD Elective

Senior

Fall

Winter

Spring

STA 138

STA/MAT 1XX

STA 1XX

UD Elective

*Intro STA: Choose from STA 13, 32, or 100.  STA 032 is strongly recommended.

UD=Upper Division, LD=Lower Division  

B.S. in Statistics - Applied Statistics Option (Fall 2008-Summer 2017)

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 (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 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 pre-approved 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