Apr 12, 2021  

Applied Statistics, BS

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The curriculum in Applied Statistics is structured to allow students to be employed in areas requiring the tools of discrete mathematics and statistics. The advent of high-speed computers and technological advances being made in this area has encouraged the development of, and has resulted in, important advances that constitute significant statistical tools for such areas as the life sciences, administrative/managerial sciences and the social/behavioral sciences.

Program Outcomes

Graduates who earn a BS in Applied Statistics will be able to:

  • Demonstrate analytic, critical reasoning, and problem solving skills.
  • Collect and analyze data and summarize results precisely.
  • Demonstrate basic knowledge of statistics.
  • Apply statistical modeling to real-world problems.
  • Communicate statistical knowledge orally and in writing.
  • Demonstrate basic knowledge of computational procedures and use of statistical packages.

The degree requires a minimum of 120 semester credit hours. Students must have a grade of C or better in any course in computer science, mathematics or statistics that is applied towards the degree.

Degree Requirements

Common Core Requirements (42 hours)

See the Common Core Requirements  section of the catalog for Undergraduate Academic Programs. Observe that MATH 2305  satisfies both the mathematics requirement of the Common Core and a mathematics requirement for the applied statistics degree plan.

Major Requirements

Data Science Requirement (4 hours)

Applied Statistics Requirement (21-22 hours)

i) MATH 1305 - Finite Mathematics with Applications and MATH 1306 - Fundamentals of Calculus with Applications
MATH 2305 - Discrete Mathematical Structures (or Math 2307 - Linear Algebra) and MATH 2401 - Calculus I (or Math 2411- Calculus I for the Natural Sciences or Math 2421-Math for Data Science I)

ii) MATH 3302 - Probability and Statistics and STAT 3333 - Statistical Inference
Choose two from STAT 3309/STAT 3310/STAT 3311 - Statistical Analysis for Business Applications or Statistical Analysis for Business Applications II or STAT 3311 - Statistical Analysis for Natural Science

iii) Select at least nine (9) SCH 4000-level Stat courses with at least six (6) SCH from the following:
STAT 4307 - Time Series Analysis, STAT 4309 - Design and Analysis of Experiments, STAT 4310 - Applied Regression, STAT 4318 - SAS Fundamentals and Applications

Quantitative Science Electives (18 hours)

These courses emphasize quantitative reasoning or applications approved by the MS Department.

Most courses labelled as MATH, STAT, DATA, CS, PHYS, CHEM, FIN, ACC, or ENGR will count here.

Consult with CST advisor or MS Department for a list of pre-approved courses.

Note: At least 12 SCH must be 3000-level courses or higher.  

Minor (18 hours minimum)

Any university-approved minor will satisfy this requirement.

Free Electives

(Sufficient hours to complete a minimum of 120 hours)

Total: (120 hours)



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