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2008–2010 Undergraduate Catalog

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, at least 39 of which must be at the upper-division level.

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.

Degree Requirements

1. 16 semester credit hours of required courses in the computational and mathematical sciences:
   
   

   CS 1063	Introduction to Computer Programming I
   MAT 1214	Calculus I
   MAT 1223	Calculus II
   MAT 2213	Calculus III
   MAT 3013	Foundations of Mathematics

   
   
2. 39 semester credit hours in the major:
   
   

   1. 27 semester credit hours of required statistics courses:
      
      

      STA 1053	Basic Statistics
      STA 1993	Biostatistics
      	or
      STA 3003	Applied Statistics
      STA 3013	Multivariate Analysis for the Life and Social Sciences
      STA 3313	Experiments and Sampling
      STA 3513	Probability and Statistics
      STA 3523	Mathematical Statistics
      STA 4133	Introduction to Programming and Data Management in SAS
      STA 4713	Applied Regression Analysis
      STA 4723	Introduction to the Design of Experiments

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

      Biostatistics
      
      

      STA 3813	Discrete Data Analysis
      STA 4143	Data Mining
      STA 4233	Statistical Programming Using SAS Software
      STA 4903	Applied 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. 26 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 2233	Linear Algebra
   MAT 3213	Foundations of Analysis
   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 2313	Genetics
   BIO 3283	Principles of Ecology
   BIO 3323	Evolution
   BIO 3433	Neurobiology
   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
   
   

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

   
   

   Computer Science
   
   

   CS 2213	Advanced Programming
   CS 3343	Analysis of Algorithms
   CS 3743	Introduction to Database Systems
   CS 4213	Computing for Bioinformatics
   CS 4633	Simulation

   
   

   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	Population Dynamics and Demographic Techniques
   SOC 3313	Conceptualization and Measurement in Sociology
   SOC 3323	Research Design and Application in Sociology

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