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Foundations of Business Analytics

In just 12 weeks, the Foundations of Business Analytics certificate provides you with the foundational skills and knowledge you need to use data to drive decision making.

Quick Facts

12 weeks

Duration

6-7 hrs/day

Time commitment

May 2021

Next program start date

$620

Cost per credit hour for Ohio residents

Master the basics

Through the program’s five courses, you’ll quickly gain practice with industry standard program languages such as R and Python, make yourself more marketable, and complete the certificate ready to take your next career steps. This program is ideal for non-business majors who wish to level up their knowledge of business analytics.

Discover new outcomes

Differentiate yourself in the job market with a credential that demonstrates your understanding of business analytics foundations. You can also use the foundational skills and knowledge learned here to get started in Miami's Graduate Certificate or M.S. in Business Analytics.

The Miami Difference

Harness the academic reputation of Miami University's Farmer School of Business, one of the top-ranked business schools in the country.

#1

Public Business School in Ohio

Poets & Quants, Top Undergraduate Business Schools in the Nation 2020

Top 20

Public Business School in the Country

Poets & Quants, Top Undergraduate Business Schools in the Nation 2020

Top 10

CEOs of Fortune 500

Money Magazine

Get Started with Admission

To earn the Foundations of Business Analytics certificate, you'll first need to 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.

Invest in Your Future

Miami University has been named a top 100 best value nationwide by Forbes and Kiplinger's Personal Finance, and our Oxford campus ranked top 20 online college for return on investment by OnlineU. The Foundations of Business Analytics certificate program uses Miami's standard tuition rate, so the total tuition cost for the program is approximately $10,052 for Ohio residents.

Curriculum

ISA 250 Basic Math for Analytics (3)

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.

ISA 225 Principles of Business Analytics (3)

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, data-mining. Emphasis on computer implementation, analysis of real data, and communication of results.

ISA 241 Database for Analytics (1.5)

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).

ISA 242 Programming for Analytics (1.5)

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.

ISA 291 Applied Regression Analysis in Business (3)

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.

Build Your Foundation

Take the first step toward earning a Certificate in Foundations of Business Analytics.