Overview
The Master of Business Administration in Data Analytics online program focuses on the use of data in business, enabling you to apply technological tools and business intelligence in making decisions to benefit your organization.
This 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. The concentration covers data mining, business decision support modeling, analysis tools and more. An online MBA from Northwest gives you the diverse business background you need to advance your career.
Courses
In order to earn the Master of Business Administration in Data Analytics online, students must complete 10 courses (30 credit hours).
To see the full list of our MBA in Data Analytics courses online, view courses.
Admissions
Applicants for the Master of Business Administration in Data Analytics online degree program must hold a baccalaureate degree from a regionally accredited institution, with transcripts verifying an undergraduate GPA of at least 2.5. GMAT/GRE requirements may be waived under certain circumstances, including the submission of a resume and writing sample.
To see the full list of our MBA in Data Analytics courses online, view admissions.
Tuition
Students in the Master of Business Administration in Data Analytics online degree program can pay for each course as they enroll. There is a $50 application fee, but all other fees are included in the total cost of tuition. Costs are the same for students in Missouri or from outside the state.
To see the full calendar of upcoming start dates for the MBA in Data Analytics online, view tuition.
Calendar
With multiple start dates each year, the Master of Business Administration in Data Analytics online degree program is convenient and accessible. Students should consider application date deadlines, turn in all required documentation and fees, register for classes and pay tuition to begin on their desired start date.
To see the full calendar of upcoming start dates for the MBA in Data Analytics online, view calendar.
Also available:
- Master of Business Administration General
- Master of Business Administration in Human Resource Management
- Master of Business Administration in Marketing
- Master of Business Administration in Management
- View all Online MBA programs »
Courses
For the Master of Business Administration in Data Analytics, the curriculum is comprised of 10 courses covering 30 credit hours.
Students must take the following 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.
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.
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.
Admissions
It's time to get started! The admission process is the first step toward earning your online degree. Familiarize yourself with these requirements for the Master of Business Administration in Data Analytics online program, along with information on required documentation.
Master of Business Administration in Data Analytics Online Requirements
To apply to the Master of Business Administration 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, and 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, and 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.
Required Documentation
To successfully complete the application process, you'll need to:
- Complete the online application for Graduate Studies online application
- Submit the non-refundable $50 application fee
- Submit final official transcripts documenting undergraduate and graduate coursework taken from the accredited college or university attended. The transcript must document proof of degree(s) earned. Official transcripts must be sent directly to Northwest Missouri State University from the granting institutions. Official transcripts can be emailed to: ONLINEGD@nwmissouri.edu
- 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 Admissions Test (GMAT) or Graduate Record Examination (GRE) scores, if required.
If you need 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.
[close-]Tuition
The following is the tuition breakdown for students pursuing a Master of Business Administration in Data Analytics online. The tuition is the same for in-state and out-of-state students.
| Program | Per Credit Hour | Per 3-credit hour Course | Per Program |
|---|---|---|---|
| MBA in Data Analytics Online | $400 | $1,200 | $12,300* |
*Important Refund Information:
First day of class- Last date for 100% refund for dropped course
Second day of class- Last date for 75% refund for dropped course
Third day of class- Last date for 50% refund for dropped course
Fourth day of class- Last date for 25% refund for dropped course
Required Fees:
Required fee per course: $30
Total required fees: $300
*Per Program cost includes $300 for all required fees.
[close-]Calendar
| Session | Program Start Date | Application Deadline | Document Deadline | Registration Deadline | Payment Due | Last Class Day |
|---|---|---|---|---|---|---|
| Spring 1 | 1/15/2020 | 1/2/2020 | 1/6/2020 | 1/8/2020 | 1/10/2020 | 3/6/2020 |
| Spring 2 | 3/16/2020 | 3/2/2020 | 3/6/2020 | 3/9/2020 | 3/11/2020 | 5/1/2020 |
| Summer 1 | 5/12/2020 | 4/27/2020 | 5/4/2020 | 5/5/2020 | 5/7/2020 | 6/26/2020 |
| Summer 2 | 6/29/2020 | 6/15/2020 | 6/19/2020 | 6/22/2020 | 6/24/2020 | 8/14/2020 |
| 2020 Sessions Payment Scheduale | |||||||
|---|---|---|---|---|---|---|---|
| Session | Payment Due |
Drop for Non-payment |
Financial Aid Disbursement |
Last Day 100% refund |
Last Day 75% refund |
Last Day 50% refund |
Last Day 25% refund |
| 2020 Spring 1 | 1/10/2020 | 1/13/2020 | 1/22/2020 | 1/15/2020 | 1/16/2020 | 1/17/2020 | 1/21/2020 |
| 2020 Spring 2 | 3/11/2020 | 3/12/2020 | 3/23/2020 | 3/16/2020 | 3/17/2020 | 3/18/2020 | 3/19/2020 |
