7 courses with the subject ST, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
ST 113Business Statistics3
Total Credits 18 Communication Intensive (0-6 Credits) All students are required to take a three-credit course designated as a Communication Intensive. This requirement can be met within a variety of course subjects in both Arts & Sciences and Business. Communication Intensive courses are designated with a "Communication Intensive" course tag in Workday. Transfer students with a minimum of 30 credits will 3 be waived from the Communication Intensive requirement. Please note that certain majors have an additional three-credit Communication Intensive built into their major requirements, separate from the general CI requirement.
This one-credit course is a unique opportunity that allows students to explore a certain career path, learn valuable workplace skills, broaden their knowledge about a particular area of business analytics, and gives students the chance to add value to their internship by applying their business analytics knowledge. The essence of the internship for Credit Program is that students continue to learn as they work. To a large degree, the education they receive from the internship is up to them. It is based on the quality of the position they have found and the decisions they make once on the job (e.g., asking for certain opportunities). The Business Analytics internship for credit course grants one credit for successfully fulfilling this field-based learning experience, which includes working a minimum of 120 hours at an organization suitable for the individual students field learning experience, and completing the specific requirements outlined below during the internship. Typically Offered: As needed
ST 635Intermediate Statistical Modeling for Business3
Pre-Req: ST 625 or instructor permission This course focuses on statistical modeling situations dependent on multiple variables, as commonly found in many business applications. Typical topics covered are logistic regression, cluster analysis, factor analysis, decision trees, and other multivariate topics as time permits. Applications of these methodologies range from market analytics (e.g., direct mail response and customer segmentation) to finance and health informatics. A central objective of the course is for participants to be able to determine the appropriate multivariate methodology based on the research objectives and available data, carry out the analysis and interpret the results. This course makes use of statistical packages such as SAS, JMP, R or SPSS, along with more specialized software. Typically Offered: Fall and Spring
A Directed Study is designed for highly qualified students who, under the direction of a member of the sponsoring academic department, engage in an agreed-upon, in-depth independent examination, investigation or analysis of a specialized topic. Typically Offered: As needed
This course explores current or emerging applications of business analytics in real-world contexts. Topics vary by semester and emphasize the use of analytical tools and thinking to support data-informed decision-making. The course may be conducted in a seminar format, with students actively engaged in developing and presenting course materials. Typically Offered: As needed
