Define Your Path
100% Online Coursework
No GRE/GMAT Requirement
18 Months to Graduate
Master of Business Administration (M.B.A.) Curriculum
Design Benedictine's M.B.A. Online Program to Fit Your Career Goals
Benedictine offers two program tracks, accelerated and traditional, intentionally designed to fit the lives of working professionals. The accelerated track lets you take two courses at a time and finish in just a year, while the traditional track offers one course at a time for completion in about two years.
In addition, you have the option to add a concentration in Social Media Marketing or Project Management to your M.B.A. degree and strengthen your place in the market.
Foundation Courses (may be waived)
ACCT 5101 Introduction to Financial Accounting (3 Credits)
Explore the preparation, interpretation, and analysis of the balance sheet, income statement, and cash flows. You will examine the rationale for and implications of important accounting concepts, the selection of alternatively acceptable accounting methods, and their varying effects of valuation and net income determination and reporting. You'll gain an understanding of the many analytical tools utilized to explore complex accounting information in your role as a vital manager or executive in a global organization.
ECON 5101 Economics (3 Credits)
Students will study fundamental concepts of Economics, including supply and demand as well as methods of measuring economic performance, such as GDP, inflation, and unemployment. Other topics include the causes of instability in the economy and potential corrective measures.
MNGT 5101 Organizational Behavior (3 Credits)
In MGMT 5530 Organizational Behavior, you will examine how organizations motivate individuals and teams to succeed while overcoming conflicts and change. Once completed, you will be able to outline organizational behavior trends, discuss ethical issues, and identify strategies to improve employee motivations through job design.
BALT 5101 Tools for Management Decisions (3 Credits)
This course prepares students to be more effective users of quantitative information as well as to avoid potential pitfalls from the misuse of statistical methods. Coursework emphasizes understanding what a previously obtained data set implies and, if appropriate, to develop meaningful forecasts with a reasonable sense of confidence. Specific topics include data analysis and statistical description, sampling and statistical inference, time series and regression analysis.