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.
This track allows students to take some of their elective major courses in another subject area where statistics is applied. A list of pre-approved electives can be found here.
Notes:
These requirements will be put into effect Fall 2024. Requirements from previous years can be found in the General Catalog Archive.
Preparatory Subject Matter (27-31 units)
Mathematics
- MAT 16A-B-C or 17A-B-C or 19A-B-C or 21A-B-C Calculus (MAT 21 series preferred.)
- MAT 22A Linear Algebra
Computer Science
- ECS 32A or 36A Programming
- Former courses ECS 10 or 30 or 40 may also be used.
Statistics
- STA 13 or 32 or 100
- STA 32 or 100 preferred
Cluster Elective Prerequisites
Two introductory courses serving as the prerequisites to the chosen Cluster Electives (see Cluster Electives section below).
Note: Additional coursework beyond this requirement may be needed to fulfill the Cluster Elective prerequisites.
Depth Subject Matter (48-52 units)
Core Coursework
- STA 106 Analysis of Variance
- STA 108 Regression Analysis
- STA 138 Analysis of Categorical Data
- STA 141A Fundamentals of Statistical Data Science
- STA 130A Mathematical Statistics: Brief Course
- STA 130B Mathematical Statistics: Brief Course
Restricted Electives
Choose Three:
- 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 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.
Cluster Electives
Choose four upper division elective courses outside of statistics:
Cluster electives are chosen with and must be approved by the major advisor. A list of pre-approved electives can be found here. Electives must follow a coherent sequence in one single disciple/cluster where statistical methods and models are applied. At least three of the cluster electives must cover the quantitative aspects of the discipline.
Pre-Approved Cluster Electives
Total Units: 75-83
Sample Schedule
This schedule can be used as a guide, but students are recommended to meet with an advisor on a regular basis to make a customized plan that works best for their unique needs and priorities.
Academic Planning Resources:
- Statistics Course Offerings Schedule
- Computer Science Course Offerings Schedule
- Mathematics Course Offerings Schedule
Freshman | Fall | Winter | Spring |
MAT 16/17/19/21A | MAT 16/17/19/21B | MAT 16/17/19/21C | |
ECS 32A or 36A | STA 13 or 32 or 100 | ||
Sophomore | Fall | Winter | Spring |
MAT 22A | STA 108 | STA 106 | |
Cluster Elective Prerequisite | Cluster Elective Prerequisite | Approved Cluster Elective | |
Junior | Fall | Winter | Spring |
STA 130A | STA 130B | STA 141A | |
Approved Cluster Elective | STA/MAT Restricted Elective | Approved Cluster Elective | |
Senior | Fall | Winter | Spring |
STA 138 | STA/MAT Restricted Elective | STA/MAT Restricted Elective | |
Approved Cluster Elective |