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Statistics, B.S.

Statistics B.S. 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

Faculty Advisors

Program Information

Degree RequirementsUnits
General education (48 units, 8 units covered by major requirements)42
Major (includes 8 units in GE)52
Electives28
Total units needed for graduation120

For more information, please consult Statistics, B.S in the Catalog.

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 SPSS 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 B.S. program: 52

Total Units: 120

Sample Four-Year Program

Bachelor of Science in Statistics

Fall Semester (16 Units)
  • MATH 161 - Differential and Integral Calculus I Unit(s): 4
  • MATH 165 - Elementary Applied Statistics Unit(s): 4
  • Freshman Learning Community
  • GE

Spring Semester (15 Units)

  • MATH 211 - Differential and Integral Calculus II Unit(s): 4
  • MATH 265 - Intermediate Applied Statistics with SPSS Unit(s): 4
  • Freshman Learning Community
  • GE

Fall Semester (16 Units)
  • MATH 241 - Linear Algebra with Applications in Differential Equations Unit(s): 4
  • MATH 367 - Statistical Consulting and Communication Unit(s): 2
  • MATH 220 - Reasoning and Proof Unit(s): 4
  • GE

Spring Semester (15 Units)

  • MATH 261 - Multivariable Calculus Unit(s): 4
  • MATH 322 - Linear Algebra Unit(s): 4
  • GE
  • Elective

Fall Semester (15 Units)
  • MATH 345 - Probability Theory Unit(s): 4
  • Elective
  • GE
  • UD GE 

Spring Semester (15 Units)

  • MATH 381 - Computing for Statistics: SAS Programming Language Unit(s): 2
  • MATH 445 - Mathematical Statistics and Operations Research Unit(s): 4
  • Elective
  • UD GE 

Fall Semester (14 Units)
  • MATH 340 - Real Analysis I Unit(s): 4
  • UD GE 
  • Elective

Spring Semester (14 Units)

  • MATH 465 - Experimental Design and Regression Analysis Unit(s): 4
  • Elective
  • GE