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Bachelor of Science Degree in Statistics

Statistics is a science that deals with principles and procedures for obtaining and processing information in order to make decisions in the face of uncertainty. In particular, it deals with collection, organization, analysis, and interpretation of numerical information to answer questions in almost every aspect of modern-day life. Statistical methods are used to address complex questions common in business, government, and science. Employers such as research divisions in pharmaceutical companies, clinical research units at medical centers, quality control or reliability departments in manufacturing companies, corporate planning and financial analysis units, and government agencies require persons with advanced quantitative skills.

The Bachelor of Science degree in Statistics provides students with access to such skills preparing them for careers as statistical analysts or for further graduate academic training. The minimum number of semester credit hours required for the Bachelor of Science degree in Statistics is 120.

Core Curriculum requirements: Students seeking the Bachelor of Science Degree in Statistics must fulfill University Core Curriculum requirements. The courses listed in the table below satisfy both degree requirements and Core Curriculum requirements; however, if these courses are taken to satisfy both requirements, then students will need to take additional courses in order to meet the minimum number of semester credit hours required for this degree. For a complete listing of courses that satisfy the Core Curriculum requirements see pages 5–9 of this catalog.

Core Curriculum Component Area Courses that Satisfy Core Curriculum and Degree Requirements
Communications English Rhetoric/Composition (6 semester credit hours)
All students must take the following six hours to meet this core requirement:
WRC 1013 Freshman Composition I
WRC 1023 Freshman Composition II
Mathematics Mathematics (3 semester credit hours)
This requirement can be satisfied with MAT 1214, Calculus I, for Statistics majors. (Students not prepared to begin MAT 1214 must take MAT 1093, Precalculus.)
Natural Sciences Science (6 semester credit hours)
Three hours from Level One and three hours from Level Two under the appropriate sections in the list of core courses will satisfy this core requirement.
Social and Behavioral Sciences United States History and Diversity (6 semester credit hours)
Any six hours listed under this section in the list of core courses will satisfy this core requirement.
Political Science (6 semester credit hours)
POL 1013 Introduction to American Politics, plus three additional hours listed under this section in the list of core courses will satisfy this core requirement.
Social and Behavioral Sciences (3 semester credit hours)
Any three hours listed under this section in the list of core courses will satisfy this core requirement.
Economics (3 semester credit hours)
ECO 2013 Introductory Macroeconomics
Humanities & Visual and Performing Arts Literature (3 semester credit hours)
Any three hours listed under this section in the list of core courses will satisfy this core requirement.
The Arts (3 semester credit hours)
Any three hours listed under this section in the list of core courses will satisfy this core requirement.
World Society and Issues (3 semester credit hours)
Any three hours listed under this section in the list of core courses will satisfy this core requirement.

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Degree Requirements

  1. 22–23 semester credit hours of required courses in the computational and mathematical sciences:

    CS 1073 Introductory Computer Programming for Scientific Applications
    or
    CS 1713, 1711 Introduction to Computer Science and Recitation
    or
    CS 2073 Computer Programming with Engineering Applications

    MAT 1214 Calculus I
    MAT 1223 Calculus II
    MAT 2213 Calculus III
    MAT 2233 Linear Algebra
    MAT 3013 Foundations of Mathematics
    MAT 3213 Foundations of Analysis

  2. 36 semester credit hours in the major:

    1. 24 semester credit hours of required statistics courses:

      STA 1053 Basic Statistics

      STA 1993 Statistical Methods for the Life and the Social Sciences
      or
      STA 3003 Applied Statistics

      STA 3313 Experiments and Sampling
      STA 3513 Probability and Statistics
      STA 3523 Mathematical Statistics
      STA 4133 Statistical Computing Packages
      STA 4713 Applied Regression Analysis
      STA 4723 Design and Analysis of Experiments

    2. 12 semester credit hours selected from the following specialized areas of study in statistics:

      Biostatistics

      STA 3013 Multivariate Analysis for the Life and Social Sciences
      STA 3813 Discrete Data Analysis
      STA 4143 Data Mining
      STA 4903 Survival Analysis

      Process Improvement

      STA 3433 Applied Nonparametric Statistics
      STA 4643 Introduction to Stochastic Processes
      STA 4753 Time-Series Analysis
      STA 4803 Statistical Quality Control

  3. 21 semester credit hours of upper-division electives in disciplines where statistics is actively applied and practiced. These courses should be approved by the designated Statistics faculty member. Students may choose courses from two of the specialization tracks listed below or may take a minor in a subject using statistics.

    Mathematics

    MAT 3223 Complex Variables
    MAT 3613 Differential Equations I
    MAT 3633 Numerical Analysis

    MAT 4213 Real Analysis I
    or
    MAT 4313 Applied Combinatorics

    Biology

    BIO 3083 Biosocial Genetics
    BIO 3323 Evolution
    BIO 4333 Population Genetics

    Business

    ECO 3123 Introduction to Econometrics and Business Forecasting
    MKT 3083 Marketing Research
    MS 3063 Decision Support Systems
    MS 4323 Simulation Applications in Business

    Environmental Science/Geography

    ES 3013 Global Positioning System (GPS) Mapping for GIS
    ES 4093 Principles of Remote Sensing
    GRG 3314 Introduction to Geographic Information Systems
    GRG 3334 Advanced Geographic Information Systems

    Engineering and Computer Science

    CS 3393 Numerical Linear Algebra
    CS 4633 Simulation
    EE 3423 Signals and Systems I
    ME 4723 Reliability and Quality Control in Engineering Design

    Psychology

    PSY 3013 Psychological Measurement
    PSY 3063 Psychological Testing
    PSY 3403 Experimental Psychology
    PSY 3413 Experimental Psychology Laboratory

    Social Sciences

    SOC 3033 Population Dynamics
    SOC 3223 Demographic Techniques
    SOC 3313 Conceptualization and Measurement in Sociology
    SOC 3333 Survey Research Methods

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