Overview
The MBA in Data Analytics online program gives you a comprehensive background in reviewing structured data and applying business intelligence while developing core business management skills with relevant real-world applications.
In this program, you will supplement essential general business knowledge with an in-depth study of data mining, business-decision support modeling, analytics tools and more, positioning you to make better, more informed business decisions. You will gain advanced business knowledge and analytical skills to identify and communicate effectively across all levels of business. An online MBA from Northwest gives you the diverse business background you need to advance your career.
Northwest's MBA programs are accredited by the Accreditation Council for Business Schools and Programs (ACBSP). For more information about ACBSP accreditation, visit acbsp.org.
Career opportunities include:
- Marketing Manager
- Financial Analyst
- Operations Analyst
- Business Intelligence
- Supply Chain Analyst
Have questions or need more information about our online programs?
Also available
Northwest offers a variety of specialized MBA options. Check out our other MBA online programs.
Tuition and Fees
Our MBA in Data Analytics online program offers affordable, pay-by-the-course tuition, which is the same for in-state and out-of-state students. All fees are included.
| Program | Per Credit Hour | Per Course | Per Program |
|---|---|---|---|
| MBA in Data Analytics | $400 | $1,200 | $12,300* |
Important Refund Information
| 1st day of class | Last date for 100% refund for dropped course |
| 2nd day of class | Last date for 75% refund for dropped course |
| 3rd day of class | Last date for 50% refund for dropped course |
| 4th day of class | Last date for 25% refund for dropped course |
Required Fees:
Required fee per course: $30
Total required fees: $300
*Program cost includes $300 for all required fees.
Northwest Missouri State University is ranked #1 among the "Best Online Colleges in Missouri" by SR Education Group (2019).
Calendar
Northwest online programs are delivered in an accelerated format ideal for working professionals, conveniently featuring multiple start dates each year.
| Term | Program Start Date | Application Deadline | Document Deadline | Registration Deadline | Payment Due | Last Class Day |
|---|---|---|---|---|---|---|
| Spring 2 | 03/16/20 | 03/02/20 | 03/06/20 | 03/10/20 | 03/11/20 | 05/01/20 |
| Summer 1 | 05/12/20 | 04/27/20 | 05/04/20 | 05/05/20 | 05/07/20 | 06/26/20 |
| Summer 2 | 06/29/20 | 06/15/20 | 06/19/20 | 06/22/20 | 06/24/20 | 08/14/20 |
Ready to take the next step toward earning your degree online from Northwest?
Admissions
At Northwest, we’ve streamlined the admission process to help you get started quickly and easily. Please read the requirements for the MBA in Data Analytics online, including what additional materials you need and where you should send them. The requirements include:
View all admission requirements
Required Documentation
To successfully complete the application process, you will need to:
- Complete the Graduate Studies online application
- Submit the non-refundable $50 application fee
- Submit final official transcript(s) documenting undergraduate and graduate coursework taken at the accredited institution(s) attended. Transcript(s) must document proof of degree(s) earned. Official transcript(s) must be sent directly to Northwest Missouri State University from the granting institution(s).
- Submit a current resume with start and end dates for each position held. Also, include any accomplishments and skills earned as well as managerial experience.
- Submit official Graduate Management Admission Test (GMAT™) or Graduate Record Examinations (GRE®) scores, if required
Official transcript(s) can be emailed to: ONLINEGD@nwmissouri.edu. To submit official documents by mail, send them to:
Graduate Records SpecialistNorthwest Missouri State University
800 University Drive
Maryville, MO 64468-6001
Have a question? Call us at 844-890-9304.
GMAT Waiver Information
To apply to the MBA in Data Analytics online degree program without submission of a GMAT or GRE score, you must have a bachelor's degree* with a cumulative GPA of 2.5 on a 4.0 scale from a regionally accredited university plus one of the following:
- Three years of continuous, full-time professional work experience
- Three years of continuous, full-time United States enlisted or commissioned military service
- Graduate degree from a regionally accredited university with a minimum 3.0 cumulative GPA
- A score in the 70th percentile or above on the Business Major Field Test
If you do not meet the above requirements, you may apply if you have a bachelor's degree* with a cumulative GPA of 2.5 on a 4.0 scale from a regionally accredited university plus one of the following:
- A GMAT score of 440 or above
- A GRE score of 285 or above
- An admission index of 1,100 (undergraduate GPA x 200 + GMAT)
- An admission index of 965 (undergraduate GPA x 200 + GRE)
*Applicants to the MBA program who do not have a bachelor's degree in business are required to successfully complete the MBA Business Foundation course, which is designed specifically for students who are new to business curriculum.
Courses
For the MBA in Data Analytics online, the curriculum is comprised of 10 courses covering 30 credit hours, including 21 hours of core courses and 9 hours of data analytics concentration courses.
ACCT 51646: Managerial Accounting
Duration: 7 weeks | Credit Hours: 3
This course is designed to give the student an understanding of the accounting concepts that are useful in making managerial decisions.
ECON 52651: Macroeconomics for Business Managers
Duration: 7 weeks | Credit Hours: 3
An analysis of aggregate economic variables and their relation to business management and decision-making. Macroeconomic models, business fluctuations, and macroeconomic policies will be studied, available empirical data will be analyzed, and their relevance to business decision-making will be examined.
FIN 53621: Financial Management
Duration: 7 weeks | Credit Hours: 3
The course includes financial statement analysis, financial planning, capital budgeting, and valuation.
MGMT 54611: Business Decision Analysis Tools
Duration: 7 weeks | Credit Hours: 3
The application of mathematical and statistical methods to business decision-making in the various fields of business. Topics cover a number of subjects, including quality management, linear programming and queuing problems.
MGMT 54616: Organizational Behavior in Administration
Duration: 7 weeks | Credit Hours: 3
A consideration of various behavioral concepts which are found in organizational settings and which have implications for management personnel. Emphasis is on practical application of various topics such as teamwork, leadership, motivation, organizational change and development.
Duration: 7 weeks | Credit Hours: 3
An examination of contemporary business practices utilized by successful organizations. Emphasis is placed on understanding current issues faced by senior management. Can be taken only during the last trimester of enrollment.
MKTG 55630: Strategic Marketing
Duration: 7 weeks | Credit Hours: 3
An examination of contemporary marketing practices built around the strategic marketing process. The central focus is on becoming a customer-focused organization. Areas such as understanding customer satisfaction and customer value, as well as delivery and applied measurement issues, are explored.
MGMT 54660: Data Mining For Business Applications
Duration: 7 weeks | Credit Hours: 3
This course will examine the fundamental principles of data mining and how data mining techniques can enhance management decision making. Understanding data mining will change the way business leaders think of data and its influence in business decisions. The increasingly volume and speed of data generation require business leaders to methodically analyze data. This course will apply data mining techniques on industry cases to develop data-analytic thinking.
MGMT 54662: Business Decision Support Modeling
Duration: 7 weeks | Credit Hours: 3
This course emphasizes formulation of business models widely used in industries and interpretation of results. The course will introduce how to use important analytic methods such as spreadsheet modeling, optimization, Monte-Carlo simulation. These basic principles and techniques of applied mathematical modeling for managerial decision-making will allow you to recognize their assumptions and limitations, and to employ them in decision making.
MGMT 54667: Business Analytics & Decision Modeling
Duration: 7 weeks | Credit Hours: 3
This course focuses on the processes and practices of transforming business data into business intelligence. An understanding of data storage and retrieval is an integral component to building useful information to support business decision making. The course provides a framework for quantitative decision making, effective budgetary allocation and economic efficiency.
Still undecided?
Check out our other MBA online degree programs.
