Miami University’s online Foundations of Business Analytics certificate provides you with the introductory skills and knowledge you need to use data to drive business decisions. Our online business analytics courses build the quantitative expertise and business intelligence skills needed to make an impact in today’s workforce. This business analytics certificate can be pursued alongside a Miami undergraduate degree, or it can be completed as an independent non-degree credential in just 12 weeks.
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Differentiate yourself in the job market with analytics training that demonstrates a career-ready understanding of data analysis specific to the world of business. Through the business analytics certificate's five online courses, you'll quickly gain practice with industry-standard programming languages such as R and Python. You emerge from this non-degree program with marketable skills, ready to take your next career steps.
These courses are ideal for non-business majors who wish to level up their knowledge of business analytics in a convenient online format. In addition, this non-degree credential can also be used as a starting place to eventually begin Miami University's Graduate Certificate in Advanced Business Analytics or Master of Science in Business Analytics.
Current Miami undergraduate students can apply here to the certificate program. Note that this program is best suited to non-business majors.
Otherwise, applicants interested in the online Foundations of Business Analytics certificate should apply as a non-degree-seeking student. You must have a minimum 2.0 GPA, be in good standing in all respects at all schools previously attended, and have either graduated from high school or completed a GED.
The Foundations of Business Analytics program uses Miami University's standard tuition rate, which is more affordable for Ohio residents. The Farmer School of Business is dedicated to student success by providing extraordinary business education at an accessible price point. Miami University has been named a top 100 best value nationwide by Forbes and Kiplinger's Personal Finance, and our Oxford campus ranked in the top 20 online colleges for return on investment by OnlineU.
Provides students with practical and applied foundational mathematics needed as background for success in data-driven decision making. Topics include sets, functions in single and multiple variables including logarithms, exponentials, and trigonometric; matrix algebra operations; introductory calculus concepts; and basic optimization principles necessary for data analysis. Introduction to applied software-driven techniques is included in the course.
3 credit hours
Provides a continuation of the study of data and its importance to analytical decision-making in business. Topics include: probability and classification, data visualization, two or more population inference, predictive modeling with simple and multiple regression analysis, business forecasting, and data-mining. Emphasis on computer implementation, analysis of real data, and communication of results.
3 credit hours
This course is designed to help students develop skills related to collection, manipulation, and management of structured data in databases along with programming skills to access and process data. This course deals with the logical and physical design of databases, entity relationship modeling, and structured language query (SQL).
1.5 credit hours
This course is designed to help students develop skills related to collection, manipulation, and management of structured data in databases, along with programming skills to access and process data. This course equips students with programming skills and tools to build and maintain business applications. Emphasis is on the use of structured techniques and using application libraries for data retrieval, logic development, and information presentation.
1.5 credit hours
Multiple regression as related to analysis of business problems. Includes useful regression models, statistical inference (intervals and hypothesis tests) in regression, model building, regression assumptions, remedies for violations of assumptions, applications in experimental design, and time series analysis.
3 credit hours
Miami University's Foundations in Business Analytics certificate program builds your entry-level skills in quantitative analysis of real-world business metrics. These online analytics courses offer the in-demand knowledge needed to become a data-driven business professional.
Take the first step toward earning our business analytics certificate by starting an application.