3. What are the prerequisites for the program?
While a background in business or data analytics is not mandatory, applicants should have a strong analytical aptitude and a passion for working with data. Proficiency in programming languages such as Python or R is also beneficial.
4. How are the classes structured?
Classes in the Ohio University Master of Business Analytics program are typically held in a traditional classroom setting, with interactive lectures, discussions, and hands-on exercises. The program also incorporates practical projects and case studies to provide real-world experience.
5. Is there a capstone project or thesis requirement?
Yes, the program typically includes a capstone project where students apply their knowledge and skills to solve a real-world business problem. The capstone project allows students to demonstrate their mastery of data analytics techniques and present their findings to faculty and industry professionals.
