This track emphasizes statistical theory and is especially recommended as preparation for graduate study in statistics.
Notes:
These requirements were put into effect Fall 2020. Requirements from previous years can be found in the General Catalog Archive.
Preparatory Subject Matter (28-32 units)
Mathematics (20 units)
- MAT 21A Calculus
- MAT 21B Calculus
- MAT 21C Calculus
- MAT 21D Vector Analysis
- MAT 22A Linear Algebra
- or MAT 67 Modern Linear Algebra
- or MAT/BIS 27A Linear Algebra with Applications to Biology
Computer Science (4 units)
- ECS 32A Intro to Programming
- or ECS 36A Programming & Problem Solving
- Former courses ECS 10 or 30 or 40 may also be used.
- or ECS 36A Programming & Problem Solving
Statistics (4-8 units)
- STA 32 Gateway to Statistical Data Science
Depth Subject Matter (55-56 units)
Core Coursework
Statistics (24 units)
- STA 106 Analysis of Variance
- STA 108 Regression Analysis
- STA 138 Analysis of Categorical Data
- STA 131A Intro to Probability Theory
- STA 131B Intro to Mathematical Statistics
- STA 131C Intro to Mathematical Statistics
Mathematics (16 units)
- MAT 108 Abstract Math
- or MAT 127C Real Analysis (or former course MAT 125B)
- MAT 127A Real Analysis (or former course MAT 25)
- MAT 127B Real Analysis (or former course MAT 125A)
- MAT 167 Applied Linear Algebra
Advanced Electives (12 units)
Choose Three:
- STA 104 Nonparametric Statistics
- STA 135 Multivariate Data Analysis
- STA 137 Applied time Series Analysis
- STA 141A Fundamentals of Statistical Data Science
- STA 141B Data & Web Technologies for Data Analysis
- or STA 141C Big Data & High Performance Statistical Computing
- STA 142A Statistical Learning I
- STA 142B Statistical Learning II
- 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.
Related Elective Course
One upper division course approved by major advisor; it should be in mathematics, computer science, or in quantitative aspects of a substantive discipline. A list of pre-approved electives can be viewed here.
Total Units: 83-88
Major GPA Requirements
- Minimum 2.0 GPA in UC Davis courses used in the major.
- Minimum 2.0 GPA in Upper Division UC Davis courses used in the major.
Statistics-General Track Sample Academic Plan
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. Course offerings may also change year to year so please be sure to utilize the Academic Planning Resources provided.
Academic Planning Resources:
- Statistics Course Offerings Schedule
- Computer Science Course Offerings Schedule
- Mathematics Course Offerings Schedule
| First-year | Fall | Winter | Spring |
| MAT 21A | MAT 21B | MAT 21C | |
| ECS 32A or 36A | STA 13 or 32 or 35B* or 100 | ||
| Second-year | Fall | Winter | Spring |
| MAT 21D | STA 108 | STA 106 | |
| MAT 22A or 27A or 67 | MAT 108** | ||
| Third-year | Fall | Winter | Spring |
| STA 131A | STA 131B | STA 131C | |
| MAT 127A | MAT 127B | Approved Related Elective | |
| Fourth-year | Fall | Winter | Spring |
| STA 138 | STA/MAT Advanced Elective | STA/MAT Advanced Elective | |
| MAT 167 | STA/MAT Advanced Elective | MAT 127C** |
* STA 35A must be taken prior to STA 35B.
** Choose 1 of: MAT 108 and 127C.