Statistics: Applied Statistics & Analytics

Note: Courses used in Requirements 4 and 5 will not double count here. Note: No more than 3.0 hours of any combination of STAT 496R and STAT 497R can be used for this requirement.

C S 110 - How to Program 3.0

C S 111 - Introduction to Computer Science 3.0

IS 515 - Advanced Spreadsheets for Business Analysis 3.0

IS 520 - Business Programming and Spreadsheet Automation 3.0

MATH 314 - Calculus of Several Variables 3.0

STAT 234 - Methods of Survey Sampling 3.0

STAT 251 - Introduction to Bayesian Statistics 3.0

STAT 274 - Theory of Interest 3.0

STAT 286 - Data Science Ecosystems 3.0

STAT 344 - Foundations of Long-term Actuarial Mathematics 3.0

STAT 346 - Foundations of Short-term Actuarial Mathematics 3.0

STAT 381 - Statistical Computing 3.0

STAT 386 - Data Science Process 3.0

STAT 395R - Special Topics in Applied Statistics 3.0v

You may take up to 3 credit hours.

STAT 435 - Nonparametric Statistical Methods 3.0

STAT 437 - Applications in Biostatistics 3.0

STAT 451 - Applied Bayesian Statistics 3.0

STAT 466 - Introduction to Reliability 3.0

STAT 469 - Analysis of Correlated Data 3.0

STAT 482 - Data Science Capstone 1 3.0

STAT 483 - Data Science Capstone 2 3.0

STAT 486 - Machine Learning 3.0

STAT 495R - Special Topics in Statistics 3.0v

You may take up to 3 credit hours.

STAT 496R - Academic Internship: Statistics 9.0v

You may take up to 3 credit hours.

STAT 497R - Introduction to Statistical Research 3.0v

You may take up to 3 credit hours.

STAT 531 - Experimental Design 3.0

STAT 538 - Survival Analysis 3.0

Program Outcomes:

Skill in fitting statistical models

Graduates of the program will demonstrate the ability to analyze data by appropriately fitting, assessing, and interpreting a variety of statistical models

Communication Skills

Graduates of the program will write technical reports and make technical presentations containing statistical results, and work in teams to demonstrate the consulting skills of a professional statistician

Computing Skills

Graduates of the program will be able to manipulate data, use appropriate statistical methods to analyze data, document, and debug code in one or more statistical software programs.

Theoretical Foundations

Graduates of the program will be able to solve problems in basic probability theory, statistical inference, and calculus.

Professional Preparation

Be employable in jobs with BS Applied Statistics requirement

Statistics: Applied Statistics & Analytics

Program Requirements

Skill in fitting statistical models

Communication Skills

Computing Skills

Theoretical Foundations

Professional Preparation

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