Developed in partnership with SAS®, this flagship program is intended for students with engineering, mathematics, statistics, science, information technology or business background with a passion for working with data to solve challenging business problems. It is an interdisciplinary program that offers hands-on application of data analysis along with a unique blend of coursework in Analytics, Machine Learning, Marketing, Statistics, Business, MIS and Industrial Engineering. The structure of the curriculum has been carefully designed in consultation with our advisory board companies to balance the need of understanding quantitative approaches, statistical modeling and machine learning algorithms along with data visualization and exploration, interpretation of results and the ability to apply these results for solving business problems. In addition to the MS degree, students in this program may also earn certificates in Data mining, Predictive Analytics and Data Science jointly awarded by OSU and SAS®. The on-campus option is for full-time students, requires 37 credit hours and typically takes 21 months to complete. An online option is available for working professionals, requires 33 credit hours and typically takes 3 or more years to complete.
For more information about MS in Business Analytics program with data mining, predictive analytics and data science certificate options, click here
Developed in partnership with SAS®, this 12 credit hour program is for working professionals (offered via distance learning) with a technical background (such as IT, Engineering, Science and so on) who do not want a full MS degree yet want to learn about analytics and data mining. Candidates may be able to transfer the credit hours to the MS in Business Analytics if they choose to apply for admission into the MS degree at a later date.
Developed in partnership with SAS®, this 12 credit hour program is for working professionals (offered via distance learning) with a non-technical background (such as BBA, MBA, etc.) who do not want a full MS degree yet want to learn about marketing analytics.