- Description
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Clemson University is a selective, top public land-grant school in Upstate South Carolina that impacts local and global communities through research. Clemson's desire is to attract a capable, dedicated and diverse student body of approximately 25,000 undergraduate and graduate students, with priority to students from South Carolina. Clemson University is situated on 1,400 acres in Upstate South Carolina, with one edge of campus resting on the waters of Lake Hartwell and the other deep in the Experimental Forest. Midway between Atlanta, Georgia, and Charlotte, North Carolina, Clemson offers students the convenience of a small town with easy access to the attractions found in major cities.
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Managerial Decision Models
MGT 3120 and MBA 8590
Looking to elevate your organization, and bring it to the next level? Bring on learners from Clemson University to be your learner-consultants, in a project-based experience. Learners will work on one main project over the experience of the semester, connecting with you as needed with virtual communication tools.Learners in this program/experience will learn and apply various decision modeling tools, such as Queueing Theory, Bayes decision analysis, network optimization, make/buy analysis, breakeven analysis, assignment, resource allocation with the utilization of linear programming and/or simulations. They will also have extensive descriptive and predictive analytic capabiities.
Analytics Project Delivery
MBA 8990
Learners are second-year MBA students. Most are working professionals. This is a cohort-based, executive-style MBA program in Analytics.The best match projects for these students will be projects that combine aspects of descriptive and predictive analytics. Students are required to deliver at least part of the solution using Tableau.Students will be focusing on:Describing and explaining various systems development lifecycles and methodologies (as an overview)Understanding the overall systems implementation and operation issues, including technical, managerial, and interpersonal aspects of implementing enterprise systems in organizations.Developing a deep understanding of how technical and organizational factors work together to ensure the success of analytics system implementation.Using Tableau to tell detailed data stories.Organizing in a team environment to share requirements, code, and other resources to deliver a real-world analytics project.Project activities that learners can complete may include, but are not limited to: Data scrubbing and preparationData Visualization using TableauData Analysis using Excel, Tableau, and PythonIdentifying hidden relationships in historical data.Identifying particular opportunities for action.