B.S. in Statistics: Computational Statistics

Recommended for students interested in statistical computing, programming, and database management.

Notes:
These requirements were put into effect Fall 2013. 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 B.S. Computational track.  You can view how these courses may be substituted below. A printable PDF can be found here

Preparatory Subject Matter (30-31 units)

  • MAT 21A-B-C-D Calculus
  • MAT 22A Linear Algebra
  • ECS 30 Programming and Problem Solving (ECS 10 should be taken before ECS 30 if programming experience is limited)
  • ECS 40 Software Development and Object-Oriented Programming 
  • Any one introductory statistics course except STA 10 (STA 32 recommended)

Depth Subject Matter (52 units)

  • STA 106 Analysis of Variance
  • STA 108 Regression Analysis
  • STA 141A Fundamentals of Statistical Data Science (formerly called STA 141)
  • STA 131A Intro to Probability Theory
  • STA 131B Intro to Mathematical Statistics

Two courses from:

  • STA 104 Nonparametric Statistics
  • STA 135 Multivariate Data Analysis
  • STA 137 Applied time Series Analysis
  • STA 138 Analysis of Categorical Data
  • 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. 

Two courses on Programming, Data Management, and Data Technology:

  • ECS 130 Scientific Computation or 145 Scripting Languages
  • ECS 165A Database Systems or 166 Scientific Database Management

Two courses on Scientific Computational Algorithm and Visualization from:

Two courses from:

  • MAT 124 Mathematical Biology
  • MAT 128A Numerical Analysis
  • MAT 128B Numerical Analysis in Solution of Equations
  • MAT 129 Fourier Analysis
  • MAT 145 Combinatorics
  • MAT 148 Discrete Mathematics
  • MAT 160 Math Foundations of Database Theory, Design and Performance
  • MAT 165 Mathematics and Computers
  • MAT 167 Applied Linear Algebra
  • MAT 168 Optimization

NOTES:

This major has many prerequisite courses for ECS & MAT (for example ECS 60) that are not included in the major requirements. Please check the General Catalog to confirm that all prerequisites have been met.

Sample Four Year Schedule

Freshman

Fall

Winter

Spring

MAT 21A MAT 21B MAT 21C
ECS 30* ECS 40 Intro STA**

Sophomore

Fall

Winter

Spring

STA 108 STA 106 ECS 60***
MAT 21D MAT 22A

Junior

Fall

Winter

Spring

STA 131A STA 131B ECS 1XX
STA 141 or 141A STA 1XX STA 1XX

Senior

Fall

Winter

Spring

MAT 1XX MAT 1XX ECS 1XX 
ECS 165A ECS 130 or 145

*ECS 10 should be taken before ECS 30 if programming experience is limited

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

***ECS 60 is not a major requirement, but it is a prerequisites for the required upper division ECS courses.