Master of Business Administration with a Concentration in Data Analytics Online

Develop your expertise in using data analytics to make high-impact business decisions. Whether you're an existing or aspiring data scientist, you can grow your basic business knowledge while gaining essential data-analytic thinking skills to succeed in today's data-driven economy.

Next Apply Date: 2/17/25
Next Class Start Date: 3/10/25
Apply Now

Program Overview

See a snapshot of the SE’s online MBA in Data Analytics

Our 100% online MBA in Data Analytics at Southeastern Oklahoma State University develops your expertise in analyzing data to make high-impact business decisions. Grow your basic business knowledge while gaining essential data-analytic thinking skills to succeed in today's data-driven economy. For small business owners, this program gives you the tools to facilitate interaction between suppliers, customers, investments and all operational aspects of any company.

In addition to data analysis, core coursework includes fundamentals in finance, accounting, economics, behavioral management, and research.

In this data analytics online program, you will learn:

  • Core analytic techniques of data exploration and visualization, pattern discovery, predictive modeling, and forecasting
  • Data-mining process as documented by the Cross-Industry Process for Data Mining (CRISP-DM)
  • Valuation concepts and theories of projects and business enterprises to cash flows that they generate
  • Risk analysis, discount rate estimation, interaction between capital structure and value, and option-based pricing
  • How to better interact between suppliers, customers, investments and all aspects of businesses that require reviewing, documenting, analyzing and making data-driven decisions
  • Core analytic techniques of data exploration and visualization, pattern discovery, predictive modeling, and forecasting
  • Data-mining process as documented by the Cross-Industry Process for Data Mining (CRISP-DM)
  • Valuation concepts and theories of projects and business enterprises to cash flows that they generate
  • Risk analysis, discount rate estimation, interaction between capital structure and value, and option-based pricing
  • How to better interact between suppliers, customers, investments and all aspects of businesses that require reviewing, documenting, analyzing and making data-driven decisions

As a graduate of this data analytics MBA program, you will be prepared for a broad range of higher-level roles, including:

  • Business Owner
  • Supply Chain Manager
  • Marketing Manager
  • Personal Financial Advisor
  • Financial Analyst
  • Management Analyst
  • Business Intelligence Analyst
  • Business Analytics Specialist
  • Management Consultant
  • Operations Analyst
  • Business Owner
  • Supply Chain Manager
  • Marketing Manager
  • Personal Financial Advisor
  • Financial Analyst
  • Management Analyst
  • Business Intelligence Analyst
  • Business Analytics Specialist
  • Management Consultant
  • Operations Analyst

Other online MBA programs also available:

SE offers a variety of other MBA concentrations in addition to the MBA in Data Analytics online. Check out all our Master of Business Administration online degree programs.

Total Tuition, Including Fees $11,400*
Duration As few as 12 months
Credit Hours 30

Accreditation

AACSB accredited logo

The John Massey School of Business at Southeastern Oklahoma State University is accredited by AACSB International (AACSB).

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Need More Information?

Call 844-515-9100

Call 844-515-9100

SE's Online MBA in Data Analytics program is the nation's #2 most affordable online MBA in Analytics degree program for 2023-2024 by AnalyticsDegrees.org

Why choose an SE online MBA?

Hear our experienced faculty explain the wide-ranging benefits of our affordable programs, which emphasize connectivity and real-world applications.

Tuition

Pay for your online program by the course

SE is committed to providing an outstanding education that is also affordable. Tuition is structured to give our students the best value and flexibility.

Tuition breakdown:

Total Tuition, Including Fees $11,400*
Per Credit Hour $380

Calendar

These are the dates you need to know

There's no better time to begin your Master of Business Administration degree than now. We offer the convenience of a fast application-to-start calendar—you don't have to apply months before you want to start your MBA.

TermProgram Start DateApplication DeadlineDocument DeadlineRegistration DeadlineTuition DeadlineLast Class Day
Spring I1/13/2512/16/2412/16/241/10/252/25/253/2/25
Spring II3/10/252/17/252/17/253/7/254/15/255/4/25
Summer I5/12/254/28/254/28/255/9/256/1/256/29/25
Summer II6/30/256/16/256/16/256/27/257/3/258/10/25
Fall I8/18/258/4/258/4/258/15/259/15/2510/5/25
Fall II10/13/259/29/259/29/2510/10/2511/1/2512/7/25

Now enrolling:

Apply Date 2/17/25
Class Starts 3/10/25

Have questions or need more information about our online programs?

Ready to take the rewarding path toward earning your degree online?

Admissions

Follow our streamlined admission requirements for the data analytics MBA online program

Southeastern Oklahoma State University's online MBA program has specific requirements that applicants must meet to enroll. Please read the admission guidelines to ensure you qualify.

  • Online Application
  • Bachelor's Degree
  • Minimum 2.5 GPA
  • No GMAT

To meet the admission requirements for SE's online MBA degree program, applicants must meet one of the following criteria:

  • Bachelor's degree from a regionally accredited university with a minimum 3.0 overall GPA or minimum 3.0 GPA in the last 60 semester hours of courses, or
  • Bachelor's degree from a regionally accredited university with a minimum 2.5 overall GPA or minimum 2.75 GPA in last 60 semester hours of courses, AND at least three years of continuous professional work experience, AND approval of the program coordinator, or
  • Bachelor's degree from a regionally accredited university with a minimum 2.5 overall GPA or minimum 2.75 GPA in last 60 semester hours of courses, AND a portfolio consisting of a letter of application which outlines the applicant's career goals and objectives and how an MBA degree will enhance them; a current resume, three professional letters of recommendation, AND approval of the program coordinator, or
  • Bachelor's degree from a regionally accredited university and at least 9 hours in a graduate program from a regionally accredited university with a minimum 3.0 cumulative GPA and must be in good standing at previous university.
  • No GMAT is required for the Southeastern Oklahoma State University online MBA.
  • There is a non-refundable $30 application fee for both domestic and international students.

Non-Business Undergraduate course requirements:

Our MBA is designed for students with diverse undergraduate backgrounds and is suitable for business and non-business graduates. For students entering the MBA program whose undergraduate degree is not in business, finance or a related field, pre-requisite coursework may be required before enrolling in Economics, Accounting, Finance, or Data Analysis courses. Students must satisfy pre-requisite coursework or present proof of coursework equivalency for the following:

  • ACCT 2103 Fund of Financial Accounting
  • ACCT 2203 Fund of Managerial Accounting
  • ECON 2213 Principles of Microeconomics
  • BUS 2633 Business Statistics

Our MBA is designed for students with diverse undergraduate backgrounds and is suitable for business and non-business graduates. If you do not have a bachelor's in business, pre-requisites can be satisfied online, with four 1-week leveling courses. Our Enrollment Specialists will be able to provide you with more information on these 1-week courses.

International Application and Admissions Requirements: Please note, unfortunately, students with an F-1 visa are ineligible for online programs.

  1. Complete the application.
  2. Academic Records:
    • Original final post-secondary transcript(s) from each college or university attended within the United States.
    • Post-secondary records from outside the U.S. must be course-by-course analyzed by a NACES (www.NACES.org) educational credential evaluation service such as IERF or WES or ECE.
  3. English Proficiency: Internet-based TOEFL score of 79 or an IELTS Academic score of 6.5; taken within 2 years of enrollment.
    • For TOEFL, have your score report sent to Southeastern (institution code: 6657).
    • For IELTS, let us know your TRF number.
    • You do not need TOEFL or IELTS scores if you meet one of the following:
      • English is your first language from a country whose official language is English
      • You have a bachelor’s degree from a U.S. college or university
      • You have a bachelor’s degree from an English speaking country

Official sealed transcripts from all previous institutions should be sent to Southeastern Oklahoma State University:

Southeastern Oklahoma State University/Registrar
425 W. University Blvd.
Durant, OK 74701-3347

Email: [email protected]

Courses

Advance your knowledge in these data analytics courses online

For the MBA with a Concentration in Data Analytics online program, students must complete the following coursework, including 24 credit hours of core courses and 6 credit hours of specialty courses.

Duration: 7 Weeks weeks
Credit Hours: 3
The primary emphasis of this course is on management's use of accounting information to manage the resources of a complex organization. The course focuses on three major areas: fundamentals of cost systems; managerial decision-making; and managerial planning and performance evaluation.
Duration: 7 Weeks weeks
Credit Hours: 3
This course explores the role of management information systems (MIS) in modern organizations and their strategic importance in decision-making processes. Students will examine the principles, concepts, and technologies that underpin effective MIS implementation, with a focus on how information systems can be leveraged to enhance business performance, innovation, and competitive advantage, with a focus on technologies such as Excel and Python.
Duration: 7 Weeks weeks
Credit Hours: 3
An application of microeconomic principles to business decision-making. Economic theory and quantitative methods are applied to managerial decisions about pricing, production, profit maximization, and government restraints. It is presumed the student has an understanding of preliminary calculus.
Duration: 7 Weeks weeks
Credit Hours: 3
The study of human behavior in organizations and its effect on establishing and attaining organizational goals in an effective and efficient manner.
Duration: 7 Weeks weeks
Credit Hours: 3
An integrative course utilizing the comprehensive case study method to develop experiences in effective application of marketing strategies to create competitive advantages. Emphasis is on the relationship of the marketing function in a multinational context.
Duration: 7 Weeks weeks
Credit Hours: 3
This course covers the practice and theory of managers making financial decisions for the firm. The basis for all decisions builds from the premise of maximizing shareholder wealth. Topics include risk and return tradeoffs, valuing stock and bonds, evaluating choices among sources of capital and capital structure, evaluating dividend policy, evaluating the selecting expansion projects, using derivative securities to managing risk, firm valuation, and short-term cash management.
Duration: 7 Weeks weeks
Credit Hours: 3
Theory and application of statistical and quantitative techniques to various types of business data. Emphasis is on the interpretation and use of data analysis results from a manager's perspective. Use of statistical computer software is an integral part of course. Both descriptive and inferential statistics are covered.
Duration: 7 Weeks weeks
Credit Hours: 3
A capstone course for graduate students in the last stage of their coursework toward an MBA degree. It covers the integration of the skill and functions of management to develop long range plans and to implement and manage the efforts directed toward the accomplishment of organizational objectives.
Duration: 7 Weeks weeks
Credit Hours: 3
Students will learn how to build a complete (albeit rudimentary) machine-learning environment. This includes training predictive models based on live data or live data exports, delivering the predictions to clients, then recording the new client behaviors that are used to retrain the predictive models. The course content is structured to walk students through the data mining process in its natural order as documented by the Cross-Industry Process for Data Mining (CRISP-DM), beginning with identifying the unstructured business problem to be solved or goal to be met. For example, a client might ask the questions: How do we help consumers find our products easier/faster/more efficiently? Are we offering the right products to our consumers? Who is buying our products and why?
Duration: 7 Weeks weeks
Credit Hours: 3
This course is intended for aspiring data scientists and for people who will work with data analysts and data scientists, manage analytics projects, or invest in analytics ventures. It provides opportunities for students to gain skills in data-analytic thinking required to succeed in today’s analytical and data-driven economy. We will introduce the basics of data management and data analytics. This course covers the core analytic techniques of data exploration and visualization, pattern discovery (segmentation and association), predictive modeling (decision tree, logistic regression, neural network), and forecasting.

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