Statistics: Data Science
Statistics: Data Science
| Hours | 55 Credit Hours |
| MAP | Major 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 courses
requirement 5 Complete 1 option
option 5.1 Complete 2 courses
option 5.2 Complete 2 groups
group 5.2.1 Complete 1 course
group 5.2.2 Complete 1 course
requirement 6 Complete 2 courses
requirement 7 Complete 6.0 hours from the following course(s)
Courses taken in any of the requirements above will not double count here.
requirement 8 Complete 3.0 hours from the following course(s)
Courses taken in any of the requirements above will not double count here.
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, use appropriate 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.