This track emphasizes data handling skills and statistical computation. It is recommended for students interested in statistical learning methodology, advanced data handling techniques and computational aspects of statistical analysis.
Notes:
These requirements were put into effect Fall 2020. Requirements from previous years can be found in the General Catalog Archive.
Preparatory Subject Matter (27 units)
Mathematics
- MAT 21A Calculus
- MAT 21B Calculus
- MAT 21C Calculus
- MAT 21D Vector Analysis
- MAT 22A Linear Algebra
Computer Science
- ECS 32A or 36A Programming
- Former courses ECS 10 or 30 or 40 may also be used.
- Additional coursework in Python is also recommended (eg. ECS 32B).
Statistics
- STA 13 or 32 or 100
- STA 32 or 100 preferred.
Depth Subject Matter (52 units)
Core Coursework
Statistics
- STA 106 Analysis of Variance
- STA 108 Regression Analysis
- STA 131A Intro to Probability Theory or STA 130A Mathematical Statistics: Brief Course
- STA 131B Intro to Mathematical Statistics or STA 130B Mathematical Statistics: Brief Course
- STA 141A Fundamentals of Statistical Data Science
- STA 141B Data and Web Technologies for Data Analysis
- STA 141C Big Data and High Performance Statistical Computing
- STA 135 Multivariate Data Analysis
- STA 160 Practice in Statistical Data Science
Machine Learning
- STA 142A Statistical Learning I or ECS 171 Machine Learning
Mathematics
- MAT 167 Applied Linear Algebra or MAT 168 Optimization
Restricted Electives
Choose two:
- STA 104 Nonparametric Statistics
- STA 137 Applied time Series Analysis
- STA 138 Analysis of Categorical Data
- STA 142A Statistical Learning I
- STA 142B Statistical Learning II
- STA 144 Sampling Theory of Surveys
- STA 145 Bayesian Statistical Inference
- MAT 128A Numerical Analysis
- MAT 170 Mathematics for Data Analytics and Decision Making
- ECS 122A Algorithm Design and Analysis
- ECS 165A Database Systems
- ECS 158 Programming and Parallel Architectures
- ECS 163 Information Interfaces
- One approved course of 4 units from STA 199, 194HA, or 194HB may be used.
Note: A course used to fulfill a core requirement cannot be used as a restricted elective.
Total Units: 79
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 21A | MAT 21B | MAT 21C | |
ECS 32A or 36A | STA 13 or 32 or 100 | ||
Sophomore | Fall | Winter | Spring |
MAT 21D | STA 108 | STA 106 | |
MAT 22A | ECS 32B* | STA 141A | |
Junior | Fall | Winter | Spring |
STA 131A or 130A | STA 131B or 130B | STA 141C | |
MAT 167 or 168 | STA 141B | STA 135 | |
Senior | Fall | Winter | Spring |
STA/MAT/ECS Restricted Elective | STA 142A or ECS 171 | STA 160 | |
STA/MAT/ECS Restricted Elective |
* Recommended course (not required).