Master of Business Administration with a concentration in Business Analytics online

Become a data-driven decision-maker with in-demand business skills applicable to a broad range of managerial roles.

Apply by: 1/8/25
Start Class: 1/14/25
Apply Now

Program Overview

Explore our online MBA in Business Analytics program

$17,445* Total Tuition
As few as 12-18 months Program Duration
30 Credit Hours

Gain a comprehensive background in applied data, including data management and software development, in the Master of Business Administration with a concentration in Business Analytics online program from Murray State University. In this program, you will supplement business skills with essential technical tools such as data mining techniques, software design principles, database structure and maintenance – and more.

The relevant core curriculum helps you develop essential skills in areas such as accounting, managerial economics, corporate finance, marketing and more. Our capstone course will strengthen your background in strategic management.

This program is designed for your success. That’s why we include free, prerequisite courses in accounting and economics, which can be completed concurrently with core coursework. Regardless of your undergraduate background, these prerequisites empower you with valuable insight in these key areas prior to learning more rigorous quantitative material.

AACSB Accredited

The Arthur J. Bauernfeind College of Business at Murray State University has been continuously accredited by AACSB International (AACSB) since 1981.

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Best Graduate Schools

Murray State University is ranked among the 2023-2024 Best Graduate Schools for their MBA and MPA programs by U.S. News & World Report.

Additional benefits of this online business analytics program

  • Our students consistently score above average on ETS® Major Field Tests, reflecting preparedness and confidence in impacting businesses after graduation.
  • Our faculty is dedicated to your success both in the program and in the workforce, providing personal attention, advisement and support.
  • You will have access to the resources within the Center for Economic and Entrepreneurial Development, which offers workshops, training and consulting services, and more for small-business owners in western Kentucky.
Additional benefits of this online business analytics program+
  • Our students consistently score above average on ETS® Major Field Tests, reflecting preparedness and confidence in impacting businesses after graduation.
  • Our faculty is dedicated to your success both in the program and in the workforce, providing personal attention, advisement and support.
  • You will have access to the resources within the Center for Economic and Entrepreneurial Development, which offers workshops, training and consulting services, and more for small-business owners in western Kentucky.

This program will prepare you for careers such as:

  • Financial Analyst
  • Business Analyst
  • Database Manager
  • Marketing Manager
This program will prepare you for careers such as:+
  • Financial Analyst
  • Business Analyst
  • Database Manager
  • Marketing Manager
+
Have questions or need more information about our online programs?

Also available

Murray State University offers a variety of specialized MBA concentrations. Check out all of our online MBA programs.

Tuition

Pay for your online program by the course

MBA online programs from Murray State University offer affordable, pay-by-the-course tuition. All fees are included in the total tuition.

Tuition breakdown:

$581.50 Per Credit Hour
$17,445* Total Tuition
View full tuition breakdown
Program Per Credit Hour Per Course Per Program
MBA – Business Analytics $581.50 $1,744.50 $17,445*

*The tuition rate is subject to annual changes based on approval by the Murray State University Board of Regents and the Kentucky Council on Postsecondary Education. Refer to Graduate Tuition Rates for more information on the cost of attendance for Murray State.

Calendar

See the important dates and deadlines for your online program

Murray State University online programs are delivered in an accelerated format ideal for working professionals, conveniently featuring multiple start dates each year.

Now enrolling:

1/8/25 Next Application Deadline
1/14/25 Start Classes

View full calendar  + 

TermStart DateApplication DeadlineDocument & Financial Aid DeadlinePriority Registration DeadlineTuition DeadlineLast Class DayTerm Length
Spring 11/14/251/8/251/9/251/10/251/13/253/5/257 weeks
Spring 23/11/253/5/253/6/253/7/253/10/255/6/257 weeks
Summer 15/12/255/6/255/7/255/8/255/9/256/21/257 weeks
Ready to take the next step toward earning your degree online from Murray State?
Apply Now

Admissions

Follow our streamlined admissions requirements for the online business analytics degree

At Murray State University, we’ve streamlined the admission process to help you get started quickly and easily. Please read the requirements for the MBA with a concentration in Business Analytics online, including where to send your transcripts.

The requirements include:

Online application accepted on a rolling basis
Undergraduate degree from an accredited institution
Transcripts from all colleges and universities previously attended
No GMAT required for qualified applicants
View all admission requirements

For admission to this MBA online program, domestic students must meet one of the following sets of requirements:

  • Master's degree in a relevant field or doctoral-level degree from an accredited institution OR
  • Bachelor’s degree from an accredited institution with:
    • 3.25 GPA, no work experience required
    • 3.0 GPA and two years of full-time relevant work experience
    • 2.75 – 2.99 GPA and four years of full-time relevant work experience
    • Domestic applicants with a 2.74 or below GPA who have extensive work experience will be considered on a case-by-case basis by the admissions committee and may be required to submit additional documentation, including a GMAT or GRE score.

International students have additional admission requirements. Please see the Academic Bulletin and/or the International Admissions webpage for complete requirements.

Official transcripts, test scores and other documents should be sent from issuing institutions to:

Email address:
[email protected]

Mail address:

Graduate Admissions
Murray State University
B2 Sparks Hall
Murray, KY 42071

Questions? Call 866-906-0541.

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Courses

View the degree plan for our online Master of Business Administration in Business Analytics

For the MBA with a concentration in Business Analytics online, you must complete 21 credit hours of core courses (including a capstone course) and nine credit hours of electives. You also must complete two free, self-paced prerequisite courses in accounting and economics, which can be taken concurrently with other core coursework in the program.

Expand All
Duration: 7 Weeks weeks
Credit Hours: 3
This course is a study of marketing as the firm’s strategic link with its customers in a global competitive environment. Major topics include (1) the development of marketing strategy, (2) the formulation of marketing plans, (3) the selection and implementation of marketing tactics, and (4) ethical considerations in marketing. **Suggested first course
Duration: 7 Weeks weeks
Credit Hours: 3
Business analytics refers to the techniques and practices of statistical data analyses useful to business organizations. This course covers the fundamental concepts of data analysis, and intermediary concepts such as predictive analysis and prescriptive analysis. The analytical techniques covered include visualization, regression, forecasting, simulation, optimization and risk analysis. Students get to learn and use advanced spreadsheet functions and visualization tools to analyze business data.

Learning Outcomes

  1. Possess a strong Business Analytics vocabulary.
  2. Utilize spreadsheet and data visualization software to organize, screen, and preprocess the data.
  3. Use descriptive, predictive, and prescriptive data analytics tools.
  4. Understand how and why Business Analytics techniques could be applied to assist business decision making.
  5. Gain a fundamental understanding of how to construct spreadsheet models for the purposes of conducting quantitative analysis of business problems.
  6. Demonstrate the ability to interpret analysis results, evaluate alternatives, and to apply basic sensitivity analysis in the support of a managerial decision maker.
Duration: 7 Weeks weeks
Credit Hours: 3
Application of economic models and rationale to business decision-making with special emphasis on case studies. Topics include supply and demand, elasticity, production and costs, market structure, strategic interaction, pricing strategies and government intervention.
Duration: 7 Weeks weeks
Credit Hours: 3
Practical application of the finance function in a company with specific emphasis on maximizing the value of the firm for its shareholders. Financial decision-making integrated with the theory of capital markets. Particular attention is given to the areas of investment, capital structure, short-term financing, and working capital management.
Duration: 7 Weeks weeks
Credit Hours: 3
Defines organizations and managers’ roles in those organizations, with special emphasis upon behavioral issues. Examines individual, group and organizational processes in light of the environment within which the organization functions. Special attention is given to managing in non-U.S. settings and the ethical problems faced in the managerial job.
Duration: 7 Weeks weeks
Credit Hours: 3
This is the MBA capstone course in which the students must integrate all of the functional areas of business administration and analyze their impact on management policy and strategy decisions. Even though each student will bring knowledge of his or her area of specialization into the classroom, it is expected that the student will perform as a generalist rather than a specialist and as a practicing manager rather than an impartial researcher.
Duration: 7 Weeks weeks
Credit Hours: 3
An in-depth study of management accounting techniques and methods needed for effective management of business enterprises. The trade-offs management makes in acquiring and using accounting information for decision-making and control are discussed. Specific topics include cost behavior and estimation, short-term decision-making, budgeting, performance evaluation, cost allocation, and product costing.

Embedded into the curriculum are two free, prerequisite courses to fully prepare you for your graduate level courses. Designed to revitalize your skills and reinforce previous concepts, these prerequisites will strengthen your understanding of accounting and economics and can be taken simultaneously with your other program courses, but prior to ACC 604 and ECO 625. These mandatory courses are pass/fail with 80 percent being the minimum score to pass. Students with a business undergraduate degree can be waived during the evaluation process. 

Duration: 7 Weeks weeks
Introduces the application of basic accounting techniques for recording, analyzing, and communicating financial information to parties external to a corporate business entity. Topics include understanding the elements of the accounting equation, using double-entry accounting methods to create and summarize account balances, preparing the four basic financial statements, and analyzing financial ratios. Both service and merchandising business operations are discussed. Can be taken a maximum of three times.
Duration: 7 Weeks weeks
An introduction to basic economic theory related to supply and demand, elasticity, firm theory, market structures and government policy analysis. This course provides the theoretical and mathematical foundation for the application of economic theory to business problems. Can be taken a maximum of three times.
Duration: 7 Weeks weeks
Credit Hours: 3
This course provides the student with a comprehensive introduction to databases, the technical skills required to plan, implement and maintain a databases using appropriate software. A significant part of the course will be spent on development of Structured Query Language (SQL) queries and processes to extract (E) data from multiple sources, transform (T) data as needed and the loading (L) of the same into data warehouses (ETL).

Learning Outcomes

  1. Express database terminology accurately, and design relational databases
  2. Write SQL queries to manage data and query the database
  3. Use popular tools to create the structure for a data warehouse
  4. Extract (E) data from a variety of sources.
  5. Transform (T) extracted data by adding/removing data as needed
  6. Loading (L) the database with data after the extraction and transformation processes are completed
  7. Automate the ETL
  8. Describe common DWH architectures
  9. Identify and document the potential business value of an ETL project
Duration: 7 Weeks weeks
Credit Hours: 3
Course provides a conceptual overview of data mining techniques that are used to discover patterns, to predict trends, and to classify observations. In addition, the course includes hands-on practice using modern analytic software and analysis of contemporary business case studies.

Learning Outcomes

  1. Adapt logical reasoning to approach data-rich problems in a business context.
  2. Identify, analyze, and apply relevant data via information technology tools appropriately in the analysis of business problems.
  3. Use decision-making and problem-solving processes.
  4. Examine the data, problems, and analysis tools.
  5. Apply the most appropriate business analytic models for the given problems.
  6. Interpret and convey results to a business audience effectively.
Duration: 7 Weeks weeks
Credit Hours: 3
Explores methodologies and practices used in the contemporary software development projects from the managerial and technical perspectives. From the managerial perspective, it covers software life cycle models, object-oriented methodologies, rapid development methodologies, agile modeling, software design principles and methods, verification and testing methods, and software process maturity models. On the technical side, it explores solutions that are currently available that aid in implementing these models and methodologies.

Learning Outcomes

  1. Describe computers and programming
  2. Develop software using conditional and control statements
  3. Identify and employ appropriate data structures
  4. Create custom functions
  5. Manage and manipulate multi-dimensional data
  6. Read and process data files
  7. Design and develop object-oriented applications

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