B.S. in Statistics - Computational Statistics Option (effective Fall 08)

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

Preparatory Subject Matter (30-31 units)

• MAT 21A-B-C-D Calculus
• MAT 22A Linear Algebra
• ECS 30 Introduction to Programming
• ECS 40 Introduction to Software Development
• Any one introductory statistics course except STA 10

Depth Subject Matter (52 units)

• STA 106 Analysis of Variance
• STA 108 Regression Analysis
• STA 141 Statistical Computing
• STA 131A-B Intro to Probability and 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
• STA 144 Sampling Theory of Surveys
• STA 145 Bayesian Statistical Inference

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

• ECS 110 Data Structures and Programming or 145 Scripting Languages
• ECS 165A Database Systems or 166 Scientific Database Management

Two courses on Scientific Computational Algorithm and Visualization from:

• ECS 122A Algorithm Design and Analysis
• ECS 129 Computational Structural bioinformatics
• ECS 140A Programming Language
• ECS 158 Programming on Parallel Architectures
• ECS 163 Information Interfaces

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 nad Performance
• MAT 165 Mathematics and Computers
• MAT 167 Applied Linear Algebra
• MAT 168 Optimization

B.S. in Statistics – Computer Science Option (06-08 and older Catalog)

Recommended for students interested in the computational and data management aspects of statistical analysis

Preparatory Subject Matter (33 units)

• MAT 21A-B-C-D Calculus
• MAT 22A Linear Algebra
• MAT 22B Differential Equation
• ECS 30 Intro to Programming and Problem Solving
• And ECS 40 Intro to software Development and Object-Oriented Programming
• STA 32 Basic Statistical Analysis through Computers

Depth Subject Matter (52 units)

• STA 106 Analysis of Variance
• STA 108 Regression Analysis
• STA 131A-B-C Introduction to Probability Theory and Mathematical Statistics
• ECS 110 Data Structures and Programming
• ECS 165A Database System

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 141 Statistical Computing
• STA 142 Reliability
• STA 144 Sampling Theory of Surveys
• STA 145 Bayesian Statistical Inference

Two courses from:

• MAT 128A-B Numerical Analysis
• MAT 135B Stochastic Processes
• MAT 167 Applied Linear Algebra
• MAT 168 Optimization

Two courses from:

• ECS 122A Algorithm Design and Analysis
• ECS 124 Theory and Practice of bioinformatics
• ECS 130 Scientific Computation
• ECS 175 Introduction to Computer Graphics