Master of Accounting

The Fisher MAcc Difference

Unlike most graduate accounting programs, which draw a majority of students from the same university, Fisher attracts students from a wide range of schools. Thanks to a small class size and a collaborative environment, Fisher MAcc students develop close bonds with classmates that provide strong personal and professional networks.

Ohio State offers one of the few graduate accounting degrees with data and analytics as an integral part of the curriculum. At Fisher, you gain the cross-disciplinary skills needed to launch your accounting career. 

Data & Analytics: Leadership Skills for the Real World

Today's top global companies need more than a singular knowledge of accounting from their employees. Our increasingly data-rich world requires accounting professionals to be savvy with data, skilled in analytics, and to possess the ability to think critically to translate data patterns and anomalies into meaningful business action. Fisher's Master of Accounting (MAcc) program delivers those hands-on experiences and coursework in accounting and non-accounting areas to equip you with valuable real-world insights. 

• Practice software tools
• Analyze large data sets
• Draw actionable conclusions
• Deliver and support analytical business decisions

Data & Analytics: The History Behind the Innovation

The Ohio State University Max M. Fisher College of Business was a founding partner with KPMG, an industry leader in audit, tax and advisory services, in the development of a modern curriculum that offered a data-and-analytics-specific focus. These innovations now include the use of the latest analytical technology, including large data sets. As part of the data and analytics curriculum, you learn to capture, analyze and audit data from an accounting perspective. You’ll also gain skills and experience communicating those results, attributes designed to differentiate you as a leader in today’s data-driven world. 

• Add in-demand skills to make your resume stand out
• Communicate, present and summarize findings
• Build a foundation rooted in statistics and econometrics