Major Programs

Major in Statistics

All statistics majors are required to meet with the major adviser to establish a Study Plan to guide the selection of courses that meet the major requirements and to ensure timely progress toward degree attainment.

• Students are required to consult with the major advisor to establish the study plan.
• Students are recommended to check in with the major advisor on a regular basis.
• All courses to be used to satisfy the major requirements must be taken for a letter grade.
• All electives to be used to satisfy the major requirements need prior written approval from the major advisor.
• Any modification to the standard major course requirements must be approved by the major advisor and documented in writing in the student file.

B.S. in Statistics – General Option

Recommended for students considering graduate study in Statistics.

Preparatory Subject Matter (29 or 33 units)

• MAT 21A-B-C-D Calculus
• MAT 22A Linear Algebra
• MAT 22B Differential Equation
• MAT 25 Advanced Calculus (required only if taking MAT 125A-B)
• ECS 30 Intro to Programming and Problem Solving
• Or ECS 40 Intro to software Development and Object-Oriented Programming
• STA 32 Basic Statistical Analysis through Computers

Depth Subject Matter (51-52 units)

• STA 106 Analysis of Variance
• STA 108 Regression Analysis
• STA 131A-B-C Introduction to Probability Theory and Mathematical Statistics

Four 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

Three Courses from:

• MAT 108 Intro to Abstract mathematics
• MAT 125A-B Real Analysis (strongly recommended for students considering graduate work in Statistics)
• MAT 128A-B-C Numerical Analysis
• MAT 167 Applied Linear Algebra
• MAT 168 Optimization

One elective course outside of Statistics:

The elective must be approved by the major advisor. It should be in mathematics, computer science or in quantitative aspects of a substantive discipline.