Learning Outcomes
| Learning Outcomes | Assessments |
| A thorough understanding of statistical techniques pertaining to descriptive and predictive analytics | This will be assessed through various courses all of which will contain homework, exams, case studies and projects. These courses include MSA 5020: Regression Analysis |
| A thorough understanding of operations research techniques pertaining to prescriptive analytics | This will be assessed through the course work of MSA 6010, Optimization, which will contain homework, exams, case studies and projects. |
| A thorough understanding of computer algorithmic, data base management, and business intelligence techniques, as well as software and hardware platforms pertaining to big data analytics | This will be assessed through various courses all of which will contain homework, exams, case studies and projects. These courses include MSA 5400: Database Management MSA 5600: Business Intelligence MSA 6500: Big Data Analytics |
| A keen understanding of how analytics are applied to critical tasks facing business decision-making | This will be assessed through (1) MSA 6600, Project Management, which focuses on non-technical aspects of managing analytics projects, and (2) MSA 6701-6703, Analytics Project I – III, which provides a hands-on experience in which students will work with companies to solve real analytics projects. |
| The ability to communicate effectively orally, in writing and through the use of creative data presentation and visualization | This will be assessed in MSA 6703, Analytics Project III, in which students are required to prepare a final written report and an oral presentation to be given to representatives from company that provides the analytics project. |
MS in Analytics at BGSU
The MS in Analytics at BGSU is designed to position students for a successful career in analytics. View the MS in Analytics Fact Sheet to find out more.
Updated: 07/02/2020 12:04PM