Skip to Main Content

Managing the Intelligent Enterprise

This capstone course varies based on the specific company retained for the class. A recent class worked with Scripps Network Interactive. The class was divided into three teams with each assigned to one of the networks owned by Scripps Networks Interactive: Home (HGTV), Food (Food Network) and Travel (Travel Channel). Each team was responsible for designing and defending an iPad/Android application for their assigned network.

IT Project Management

The IT Project Management class teaches Project Management in IT contexts through a combination of traditional classroom discussions about project management techniques and the management of a large, complex IT project for a corporate or university client.

Information Risk Management, Security and IT Audit

The Information Risk Management, Security and IT Audit course teaches the foundations of information security and assurance, including the principles used to formulate managerial strategy and select technical solutions. An ongoing project with PwC involves students evaluating the IT control environment and performing an evaluation, or audit, of the controls’ operating effectiveness in support of an external integrated audit.

Business Analytics Practicum

The Business Analytics practicum course provides students with an opportunity to utilize the skills gained in the Business Analytics Major, Business Analytics Minor, and Co-major. Students provide cutting-edge analytical solutions to clients using visualization, data mining, predictive modeling, and any other techniques required to extract business solutions from large data. The students utilize R, Python, and SQL. Students work in small teams assembled by skill expertise and background and present their solutions to the client or clients.

Contact: Dr. Skip Benamati 513-529-4826,

The Center for Analytics and Data Science

The Center is an interdisciplinary effort that deeply involves students from across the university in experiential learning through client-based, data-focused projects. To become proficient in analytics and data science, learners must move beyond the abstract classroom use of analytical methods. Integral to the Center is the Analytics Learning Lab that gives our students, faculty, and staff the cutting-edge resources they need to learn, practice and refine their analytics and data science skills. 

Contact: Amy Beissel, Director 513-529-1934,


FSB - Department of Information Systems and Analytics

3095 Farmer School of Business
800 East High Street
Oxford, OH 45056