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    BA Degree with a Major in Statistics
   
Minor in Statistics  

Program Learning Outcomes for the BA Degree with a Major in Statistics

Upon completing the BA degree, students majoring in Statistics will be able to:

  1. Apply fundamental theory in probability and statistical inference.
  2. Apply and evaluate statistical models.
  3. Master and apply statistical computing for data analysis and data science.
  4. Demonstrate competency as a professional statistician.
  5. Develop effective communication skills as a professional statistician.

Requirements for the BA Degree with a Major in Statistics

For general university requirements, see Graduation Requirements. Students pursuing the BA degree with a major in Statistics (STAT) must complete:

  • A minimum of 16 courses (50 credit hours) to satisfy major requirements.
  • A minimum of 120 credit hours to satisfy degree requirements.
  • A minimum of 12 courses (35 credit hours) at the 300-level or above.

CORE REQUIREMENTS
Students must complete a total of 10 courses (29 credit hours) as listed below to satisfy the Statistics major's Core Requirements.

Mathematics
Students must complete a total of 4 courses (12 credit hours) from the following:

  • MATH 101 Single Variable Calculus I  [ 3 credit hours ]
  • MATH 102 Single Variable Calculus II [ 3 credit hours ]
  • MATH 212 Multivariable Calculus [ 3 credit hours ]
  • CAAM 335 Matrix Analysis [ 3 credit hours
        or MATH 355 Linear Algebra [ 3 credit hours

Computation
Students must complete the following course:

  • STAT 405 R for Data Science [ 3 credit hours ]

Basic Computing
Students must complete 1 course (3-4 credit hours depending on course selection) from the following:

  • COMP 100 Introduction to Computing and Information Systems [ 3 credit hours ]
  • COMP 130 Elements of Algorithms and Computation [ 4 credit hours ]
  • COMP 140 Computational Thinking [ 4 credit hours ]
  • COMP 182 Algorithmic Thinking [ 4 credit hours ]
  • COMP 200 Elements of Computer Science [ 3 credit hours ]
  • COMP 215 Introduction to Program Design [ 4 credit hours ]

Advanced Computing
Students must complete 1 course (at least 3 credit hours) from the following:

  • COMP 322/ELEC 323 Fundamentals of Parallel Programming [ 4 credit hours ]
  • COMP 330 Tools and Models for Data Science [ 3 credit hours ]
  • COMP 382 Reasoning About Algorithms [ 4 credit hours
  • CAAM 378 Introduction to Operations Research and Optimization [ 3 credit hours ]
  • CAAM 440 Applied Matrix Analysis [ 3 credit hours ]
  • CAAM 453 Numerical Analysis I [ 3 credit hours ]
  • CAAM 471 Linear and Integer Programming [ 3 credit hours ]
  • CAAM 519 Computational Science I [ 3 credit hours ]

Probability and Statistics
Students must complete the following 2 courses (7 credit hours)

  • STAT 310/ECON 307 Probability and Statistics [ 3 credit hours ]  
  • STAT 410 Linear Regression [ 4 credit hours ]

SENIOR CAPSTONE
Students must complete the following course:

  • STAT 450 Senior Capstone Project  [ at least 3 credit hours

ELECTIVES
To fulfill the remaining Statistics major requirements, students must complete 6 courses (18 credit hours) from departmental (STAT) course offerings at the 300-level or above, including at least 3 courses from the list below. Up to 1 course (3 credit hours) taken from departments other than Statistics may be substituted with advisor approval. STAT 305 and STAT 385 will not count as electives.

  • STAT 411 Advanced Statistical Methods [ 3 credit hours ]
  • STAT 418 Probability [ 3 credit hours ]
  • STAT 419 Statistical Inference [ 3 credit hours ]
  • STAT 421 Applied Time Series and Forecasting [ 3 credit hours ]
  • STAT 422 Bayesian Data Analysis [ 3 credit hours ]
  • STAT 444 Data Mining and Statistical Learning [ 3 credit hours ]
  • STAT 453 Biostatistics [ 3 credit hours ]
  • STAT 502/COMP 502/ELEC 502 Neural Machine Learning I [ 3 credit hours ]
  • STAT 541 Multivariate Analysis [ 3 credit hours ]
  • STAT 545 GLM & Categorical Data Analysis [ 3 credit hours ]

Requirements for the Minor in Statistics

Students pursuing the minor in Statistics (STAS) must complete:

  • A minimum of 6 courses (19-20 credit hours depending on track selected) to satisfy minor requirements.
  • A minimum of 5 courses (15 credit hours) at the 300-level or above.
  • The requirements of one area of specialization.
  • No more than 3 courses (9 credit hours) from study abroad or transfer credit.

AREAS OF SPECIALIZATION
There are two areas of specialization offered to students pursuing the Statistics minor. Track A is designed for mathematically sophisticated students who wish to understand not only how statistical methods are used, but also how they are developed. Track B is designed to help students develop a working knowledge of statistics and the wide range of possibilities for the use and misuse of statistical methods.

TRACK A 

Core Requirements
Students must complete the following 3 courses (10 credit hours) to satisfy Track A's Core Requirements.

  • STAT 310/ECON 307 Probability and Statistics [ 3 credit hours ]
  • STAT 405 R for Data Science [ 3 credit hours ]
  • STAT 410 Linear Regression [ 4 credit hours ]

Electives
To fulfill the remaining Track A Statistics minor requirements, students must complete a total of 3 additional classes (9 credit hours) from departmental (STAT) course offerings at the 300-level or above. Suggested electives include courses listed below, but STAT 305 and STAT 385 do not count as electives for Track A. Other electives may be chosen as well.

  • STAT 313 Uncertainty and Risk in Urban Infrastructures [ 3 credit hours ] 
  • STAT 411 Advanced Statistical Methods [ 3 credit hours
  • STAT 418 Probability [ 3 credit hours
  • STAT 421 Applied Time Series and Forecasting [ 3 credit hours ]   
  • STAT 422 Bayesian Data Analysis [ 3 credit hours ]  
  • STAT 423 Probability in Bioinformatics and Genetics [ 3 credit hours
  • STAT 444 Data Mining and Statistical Learning [ 3 credit hours ]
  • STAT 449 Quantitative Financial Risk Management [ 3 credit hours ]
  • STAT 453 Biostatistics [ 3 credit hours ]   

TRACK B 

Core Requirements
Students must complete 2 courses (8 credit hours) as listed below to complete Track B's Core Requirements.

  • STAT 280  Elementary Applied Statistics [ 4 credit hours
        or STAT 305 Intro to Statistics for the Biosciences [ 4 credit hours
  • STAT 385  Methods for Data Analysis and System Optimization [ 4 credit hours ]

Electives
To fulfill the remaining Track B Statistics minor requirements, students must complete a total of 4 additional courses (12 credit hours) from departmental (STAT) course offerings at the 300-level or above. Suggested electives include courses listed below, but STAT 305 and STAT 385 do not count as electives for Track B. Other electives may be chosen as well. With advisor approval, one elective may be from departments other than Statistics.  

  • STAT 313 Uncertainty and Risk in Urban Infrastructures [ 3 credit hours ]
  • STAT 405 R for Data Science [ 3 credit hours ]
  • STAT 482 Quantitative Financial Analytics [ 3 credit hours ]
  • STAT 484/CEVE 484 Environmental Risk Assessment and Human Health [ 3 credit hours ]
  • STAT 485 Environmental Statistics and Decision Making [ 3 credit hours ]
  • STAT 486 Market Models [ 3 credit hours ]

Descriptions and Codes Legend

Note: Internally, the university uses the following abbreviations (4-digit codes) to identify the Statistics undergraduate degree, major, and minor. The following is a quick reference: 

Course Catalog/Schedule 
    - Course offerings/subject code: STAT 
Department Description and Code
    - Statistics: STAT 
Degree Description and Code
    - Bachelor of Arts Degree: BA 
Major Description and Code
    - Major in Statistics: STAT 
Minor Description and Code
    - Minor in Statistics: STAS  


Last Revised : January 24, 2017