Statistics: Data Science

Statistics: Data Science
Hours52 Credit Hours
MAPMajor Academic Plan

Program Requirements

No more than three hours of credit below C- is allowed in major courses.
requirement 2 Complete 2 courses
Preparation core courses:
requirement 6 Complete 3.0 hours from the following course(s)
Courses taken in the requirement above will not double count here. No more than 3.0 credit hours of Stat 495R, Stat 496R, or Stat 497R may be counted toward this requirement.
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.

Computing skills

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

Communication skills

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

Theoretical Foundations

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

Professional Preparation

Graduates of the program will be employable in jobs with BS Data Science or BS Applied Statistics requirement.