Data Science and Analysis BS, Supply Chain Analytics Emphasis
General Education Requirements
Students must satisfy the university general education requirements. Many of the courses for the degree may be used to fulfill math proficiency, information literacy, social science, and math and life/natural sciences requirements. There is no foreign language requirement for the degree.
Courses required for the major may not be taken on a satisfactory/unsatisfactory basis.
The BS in Data Science and Analysis consists of a set of core courses along with an emphasis area.
|MATH 1800||Analytic Geometry and Calculus I 1||3-5|
|or MATH 1100||Basic Calculus|
|The Introduction to Statistics course should align with the student's Discipline Emphasis Area.|
|Choose one of the following:|
|Quantitative Data Analysis in Social Science Research|
|Economic Data and Statistics|
|Statistical Analysis in Criminology and Criminal Justice|
|Introduction to Probability and Statistics|
|Business Analytics and Statistics|
|MATH 4005||Exploratory Data Analysis with R||3|
|CMP SCI 1250||Introduction to Computing||3|
|CMP SCI 4200||Python for Scientific Computing and Data Science||3|
|CMP SCI 4342||Introduction to Data Mining||3|
Students interested in the Computer Science emphasis area, the Mathematics Emphasis Area, or in taking additional mathematics courses should take MATH 1800.
Emphasis Area Requirements
|SCMA 3301||Introduction to Supply Chain Management||3|
|SCMA 3320||Advanced Supply Chain and Operations Management||3|
|SCMA 4330||Business Logistics||3|
|SCMA 4331||Applied Supply Chain Modeling||3|
|SCMA 4350||Prescriptive Analytics and Optimization||3|
|Choose one of the following:||3|
|Predictive Analytics and Data Mining|
|Internship in Supply Chain and Analytics|
|Seminar in Supply Chain Management and Analytics 1|
|Supply Chain Management Practicum|
|Advanced Topics in Supply Chain and Analytics 1|
Students must complete 3 credit hours in order to count the course as an elective.