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2010–2012 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 may 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. 18 semester credit hours of required courses in the computational and mathematical sciences:
   
   CS    1173  Data Analysis and Visualization using MATLAB
   MAT  1214  Calculus I
   MAT  1224  Calculus II
   MAT  2214  Calculus III
   MAT  3013  Foundations of Mathematics
   
   
2. 42 semester credit hours in the major:
   
   
   1. 30 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  4233  Statistical Applications Using SAS Software
      STA  4713  Applied Regression Analysis
      STA  4723  Introduction to the Design of Experiments
      
      
   2. 12 semester credit hours selected from the following:
      
      STA  3433  Applied Nonparametric Statistics
      STA  3813  Discrete Data Analysis
      STA  4143  Data Mining
      STA  4643  Introduction to Stochastic Processes
      STA  4753  Time-Series Analysis
      
      STA  4803  Statistical Quality Control
      or
      MS   4363  Quality Management and Control
      
      STA  4903  Applied Survival Analysis
      
      
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  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 Science
   
   SOC  3033  Population Dynamics
   SOC  3223  Population Dynamics and Demographic Techniques
   SOC  3313  Quantitative Methods in Sociology
   SOC  3323  Research Methods in Sociology

Course Sequence Guide for B.S. Degree in Statistics

This course sequence guide is designed to assist students in completing their UTSA undergraduate business degree requirements. This is merely a guide and students must satisfy other requirements of this catalog and meet with advisors in the College of Business Undergraduate Advising Center for individualized degree plans. Progress within this guide depends upon such factors as course availability, individual student academic preparation, student time management, work obligations, and individual financial considerations. Students may choose to take courses during Summer terms to reduce course loads during long semesters.

* Beginning math course will be determined by Math Placement Test scores.

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