Statistics
 

Statistics: Applied Statistics & Analytics

Statistics: Applied Statistics & Analytics
BS
Hours53.5 Credit Hours
MAPMajor Academic Plan

Program Requirements

No more than three hours of credit below C- is allowed in major courses.
requirement 1 Complete 2 courses
requirement 2 Complete 5 courses
Statistics core courses:
requirement 3 Complete 4 courses
Mathematical foundation courses:
requirement 4 Complete 3.0 hours from the following course(s)
requirement 5 Complete 6.0 hours from the following course(s)
requirement 6 Complete 15.0 hours from the following course(s)
Note: Courses used in Requirements 4 and 5 will not double count here.
C S 142 - Introduction to Computer Programming 3.0
IS 515 - Spreadsheets for Business Analysis 3.0
IS 520 - Business Programming and Spreadsheet Automation 3.0
MATH 314 - Calculus of Several Variables 3.0
STAT 124 - SAS Base Programming Skills 1.5
STAT 125 - Introduction to Operating Systems, Linux/Unix, and Shell Programming 1.5
STAT 126 - Introduction to Python Programming 1.5
STAT 224 - Applied SAS Programming 1.5
STAT 226 - SQL 1.5
STAT 234 - Methods of Survey Sampling 3.0
STAT 251 - Introduction to Bayesian Statistics 3.0
STAT 274 - Theory of Interest 3.0
STAT 377 - Statistical Models for Financial Economics 3.0
STAT 381 - Statistical Computing 3.0
STAT 420 - Big Data Science 1 3.0
STAT 421 - Big Data Science 2 3.0
STAT 426 - Data Science Methods and Applications in Statistics 3.0
STAT 435 - Nonparametric Statistical Methods 3.0
STAT 437 - Applications in Biostatistics 3.0
STAT 451 - Applied Bayesian Statistics 3.0
STAT 462 - Quality Control and Industrial Statistics 3.0
STAT 466 - Introduction to Reliability 3.0
STAT 469 - Analysis of Correlated Data 3.0
STAT 475 - Life Contingencies 3.0
STAT 477 - Statistical Distributions for Actuarial Modeling and Data Analytics 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