Program Overview

Statistics, BS

Program Learning Outcomes

• Students should develop effective thinking and communication skills.
• Students should learn to link applications and theory.
• Students should learn to use technological tools.
• Students should develop mathematical independence and experience open-ended inquiry.

In addition, students should be able to:

• Describe data sets using appropriate numerical and graphical techniques
• Develop mathematical tools necessary to perform statistical calculations and to understand distributions and statistical theory
• Design experiments and survey sampling methods that allow results to be statistically analyzed to test hypotheses
• Determine which statistical analyses are suitable, perform the analyses using technology, and assess the validity of necessary assumptions and interpret the results
• Construct and apply probability models for both discrete and continuous random variables; and communicate with non-statisticians in written and oral formats to learn what a client is interested in ascertaining and to present the results from a statistical analysis
• Construct and verify mathematical proofs
• Discuss properties of estimators and explain the rationale and assumptions behind statistical procedures
• Apply stochastic models to solve real-world problems

Degree Requirements

See the “Degree Requirements ” in the University Catalog for complete details on general degree requirements.

General Education Requirements (48 units)

See the “General Education ” requirements in the University Catalog for information on General Education requirements. Some major requirements may double count for GE requirements.

Major Requirements

• MATH 161 - Differential and Integral Calculus I Unit(s): 4
• MATH 165 - Elementary Applied Statistics Unit(s): 4
• MATH 211 - Differential and Integral Calculus II Unit(s): 4
• MATH 220 - Reasoning and Proof Unit(s): 4
• MATH 241 - Linear Algebra with Applications in Differential Equations Unit(s): 4
• MATH 261 - Multivariable Calculus Unit(s): 4
• MATH 265 - Intermediate Applied Statistics with R Unit(s): 4
• MATH 322 - Linear Algebra Unit(s): 4
• MATH 340 - Real Analysis I Unit(s): 4
• MATH 345 - Probability Theory Unit(s): 4
• MATH 367 - Statistical Consulting and Communication Unit(s): 2
• MATH 381 - Computing for Statistics: SAS Programming Language Unit(s): 2
• MATH 445 - Mathematical Statistics and Operations Research Unit(s): 4
• MATH 465 - Experimental Design and Regression Analysis Unit(s): 4

Units

Total units in BS program: 52

Program Roadmaps

• Statistics, BS, Sample Four-Year Plan
• Statistics, BS, Sample Two-Year Plan