FTMBA

Business Analytics

Decision makers in firms augment their experience and insight with information generated by analytic techniques. They compete on analytics. They experiment with analytics to continuously improve their processes and customer services.

Business analytics is based upon data and results in information-based decisions. Consequently, analytics competitors rely heavily upon sophisticated statistical and quantitative modeling tools and the employees who can utilize them. The Business Analytics Track is designed to provide Fisher MBAs with the tools to transform data into information in order to optimize processes across the enterprise and value chain.

Course Offerings

Required Courses

MBA 870 - Data Analysis for Managers

Required Elective Courses

Successfully complete two of the following:

AMIS 894.31 - Data Mining for Business
MHR 838 - Advanced Competitive Analysis (modeling)
MGT 810 - Six Sigma Principles
MGT 855 - Simulation, Risk Analysis and Decision Making (modeling)
M&L 847 - Analysis for Marketing Decisions

Elective Courses

Successfully complete two of the following:

Courses offered by Fisher College of Business

AMIS 822 - Assurances Services and Information Quality
AMIS 823 - Managerial Accounting
AMIS 835 - Systems Analysis and Design for Managers (project management)
AMIS 837 - Management of Corporate Data Resources (data base)
FIN 849 - Financial Spreadsheet Modeling in Excel (modeling)
MHR 811 - Human Resource Management Research Methods
MGT 811 - Six Sigma Projects
MGT 820 - Project Management
MGT 835 - Operations Planning and Materials Management
M&L 842 - Product Management Strategy
M&L 881 - Analysis & Design of Logistics System

Other Elective Courses offered within The Ohio State University

Econ 641 - Applied Regression and Correlation Analysis
Econ 642 - Applied Economic Models and Forecasting
Econ 742 - Econometrics
Psych 608 - Introduction to Mathematical Psychology
Stat 641 - Design and Analysis of Experiments
Stat 645 - Applied Regression Analysis
Stat 656 - Applied Multivariate Analysis
Stat 661 - Applied Nonparametric Statistics
Stat 664 - Principles of Statistical Quality Control
Stat 665 - Discrete Data Analysis
Stat 673 - Monte Carlo Techniques

Action-based Learning

As a part of the MBA Six Sigma Program students are indoctrinated into Six Sigma methodology through a series of classroom experiences and online training from MoreSteam.com. The program concludes by working on a commissioned project with organizations such as Honda, Mettler Toledo, The Ohio State University Medical Center, and Owens Corning.

During the 15 week project, second-year MBA students will implement DMAIC and Lean methodology to develop a solution for the corporate partner.

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