Statistics, B.S. - Pending Chancellor’s Office approval - Enrollment Fall 2027

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The Bachelor of Science in Statistics prepares students to apply mathematical and statistical reasoning to complex, real-world problems. The program emphasizes mathematical modeling, computational methods, and data-driven decision-making through coursework in probability, statistical inference, regression, experimental design, and machine learning. Students gain proficiency in statistical programming, data visualization, and predictive analytics, and learn to communicate results through clear, informative reports and digital media. Graduates are equipped to synthesize abstract concepts, evaluate patterns in data, and construct models that explain variability and inform evidence-based solutions across diverse fields.

Summary of Units:

Required Lower Division	23
Required Upper Division	29
Major Electives	9
General Education Requirements	37
Free Electives and and Graduation Requirements	22
Total Units	120

Lower Division Requirements - 23 units

DATA 200 - Introduction to Data Science Units: 3
DATA 213 - Programming for Data Science Units: 3
MATH 150 - Calculus I Units: 4
MATH 151 - Calculus II Units: 4
MATH 230 - Logic and Mathematical Reasoning (Cross-listed as PHIL 230) Units: 3
MATH 240 - Linear Algebra Units: 3
MATH 250 - Calculus III Units: 3

Upper Division Requirements - 25 units

DATA 308 - Applied Statistical Modeling Units: 3
DATA 347 - Data Science, Artificial Intelligence, and Society: An Ethical Approach Units: 3
MATH 310 - Transition to Higher Mathematics Units: 3
MATH 351 - Real Analysis Units: 3
MATH 353 - Probability Theory Units: 3 units
MATH 408 - Machine Learning Units: 3
MATH 453 - Mathematical Statistics Units: 3
Complete one from the following - 4 units
DATA 491 - Capstone Preparation Units: 1
DATA 499 - Data Science Capstone Units: 3
Or
DATA 492 - Internship in Data Science Units: 3
MATH 499 - Senior Colloquium Units: 1

Upper Division Elective Requirements - 9 units

BIOL 432 - Principles of Epidemiology and Environmental Health Units: 3
COMP 420 - Database Theory and Design (Cross-listed as IT 420) Units: 3
COMP 469 - Introduction To Artificial Intelligence Units: 3
COMP 478 - Introduction To Data Mining Units: 3
DATA 300 - Introduction to Data Management Units: 3
DATA 426 - Statistical Computing Units: 3
ESRM 328 - The Why of Where: Foundations in GIS Units: 3
ESRM 433 - Satellites to Sensors: Remote Sensing of the Environment Units: 3
MATH 300 - Discrete Mathematics Units: 3
MATH 350 - Differential Equations and Dynamical Systems Units: 3
MATH 398 - Advanced Research Investigations Units: 3
MATH 429 - Operations Research Units: 3
MATH 445 - Image Analysis and Pattern Recognition (Cross-listed as PHYS 445, COMP 445) Units: 3
MATH 448 - Scientific Computing Units: 3
MATH 450 - Partial Differential Equations and Mathematical Physics Units: 3
MATH 451 - Complex Analysis Units: 3
MATH 490 - Topics in Modern Mathematics Units: 3
MIS 320 - Business Data Analytics and Visualization Units: 3
PSY 333 - Measurement and Testing of Groups and Individuals Units: 3
PSY 482 - Intermediate Statistics Units: 3
PSY 483 - Applied Multivariate Analyses Units: 4

General Education and Graduation Requirements - B.S.

To graduate, students must complete a minimum of 120 units (27 units must be upper division), including the following General Education Requirements (GE) and Graduation Requirements not met within the major:

American Institutions Requirements
GE Requirements
- Lower Division General Education Area 1-6 Requirements
- Upper Division General Education (UDGE) Requirements (minimum of 3 units in each Area: UDGE-2 , or UDGE-5 , UDGE-4 and UDGE-3 )
Graduation Writing Assessment Requirement (C- or better grade)
Language Requirement (C- or better grade)
Multicultural Perspectives (MP) Requirement
Free electives as needed to meet minimum units for graduation

Roadmaps

4 Year Roadmap

2 Year Roadmap