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 (42 semester credit hours)
Students seeking the Bachelor of Science degree in Statistics must fulfill University Core Curriculum requirements. The courses listed 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 3-5 of this catalog.

MAT 1214 should be used to satisfy the core requirement in Mathematics. ECO 2013 should be used to satisfy the core requirement in Economics.

Degree Requirements

1. 15 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
   
   
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  3023  Statistical Mathematics
      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:
      
      MS    4363  Quality Management and Control
      STA  3013  Multivariate Analysis for the Life and Social Sciences
      STA  3813  Discrete Data Analysis
      STA  4143  Data Mining
      STA  4643  Introduction to Stochastic Processes
      STA  4753  Time-Series Analysis
      STA  4903  Applied Survival Analysis
      
      
3. 18 semester credit hours of electives in disciplines where statistics is actively applied and practiced. Nine semester credit hours must be upper division. The department has given pre-approval to the following plans of study for specializations in actuarial science, biology, business, education, mathematics, business, psychology, and social sciences. Other specialization plans and the relevant courses may be submitted for approval to the designated Statistics faculty member.
   
   
   1. Specialization in Actuarial Science
      
      ACC  2013  Principles of Accounting I
      ECO  2013  Introductory Macroeconomics
      ECO  2023  Introductory Microeconomics
      FIN   3014  Principles of Business Finance
      
      FIN   3023  Intermediate Corporate Finance
      or
      FIN   4873  Computer Modeling of Financial Applications
      
      STA  4961  Actuarial Science Examination Preparation (to be taken two semesters)
      
      
   2. Specialization in Biology
      
      BIO  2313  Genetics
      BIO  3283  Principles of Ecology
      BIO  3323  Evolution
      BIO  3333  Plants and Society
      BIO  3433  Neurobiology
      BIO  4033  Conservation Biology
      
      
   3. Specialization in Business
      
      ECO  3123  Introduction to Econometrics and Business Forecasting
      MKT  3083  Marketing Research
      MS   3063  Decision Support Systems
      MS   4313  Six Sigma and Lean Operations
      MS   4343  Production/Operations Management
      MS   4363  Quality Management and Control
      
      
   4. Specialization in Education
      BBL  3403  Cultural and Linguistic Diversity in a Pluralistic Society
      EDP  3203  Learning and Development in the Secondary School Adolescent
      EDU  2103  Social Foundations for Education in a Diverse U.S. Society
      ESL   3023  Second Language Teaching and Learning in EC–6
      IDS   2013  Introduction to Learning and Teaching in a Culturally Diverse Society
      SPE  3603  Introduction to Special Education
      
      
   5. Specialization in 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
      
      
   6. Specialization in Psychology
      
      PSY  1013  Introduction to Psychology
      PSY  2503  Developmental Psychology
      PSY  3013  Psychological Measurement
      PSY  3063  Psychological Testing
      PSY  3403  Experimental Psychology
      PSY  3413  Experimental Psychology Laboratory
      
      
   7. Specialization in Social Sciences
      
      SOC  1013  Introduction to Sociology
      SOC  3033  Population Dynamics
      SOC  3223  Population Dynamics and Demographic Techniques
      SOC  3323  Introduction to Social Research
      SOC  3373  Qualitative Research Methods
      SOC  3393  Quantitative Research Methods (formerly SOC 3313)
      


4. 6 semester credit hours of lower-division or upper-division business or non-business electives.

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 a term-by-term sample course guide. Students must satisfy other requirements in their catalog and meet with an academic advisor in the College of Business Undergraduate Advising Center for an individualized degree plan. 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.

Recommended Four-Year Academic Plan

* Students must take Math Placement Test to register for STA 1053 and MAT 1214. Beginning math course will be determined by Math Placement Test scores.

** STA 3003 is prerequisite for other required courses.

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