Master of Business Administration with a concentration in Data Science online

Boost your business acumen and become a transformative leader in data science for virtually any organization by earning this innovative online MBA.

Apply by: 10/4/21
Start Class: 10/18/21
$11,550 Total Tuition
As few as 14 months Duration
33 Credit Hours

Program Overview

Gain insights into our online Data Science MBA program

Prepare for professional leadership opportunities as you learn how to transform data into strategic decisions and communicate them effectively. In the Master of Business Administration with a concentration in Data Science online program, you will develop your ability to apply best practices using analytical methods and technology to identify and solve business problems.

This flexible online program is designed to equip you for success in a competitive global business environment with support from experienced faculty members, many of whom hold Ph.D.s. The 100% online coursework examines economic analysis for managerial decisions, strategic information systems, and evidence-based management of an analytics workforce. By taking advantage of 7-week courses and multiple start dates a year, you can earn your MBA in Data Science online in as few as 14 months.

Career outcomes:

  • Data Scientist
  • Financial Analyst
  • Project Manager
  • Business Consultant
  • Marketing Director
  • Data Scientist
  • Financial Analyst
  • Project Manager
  • Business Consultant
  • Marketing Director

In the online MBA in Data Science, you will enhance your skills in:

  • Oral Communication: Synthesize key business concepts and orally communicate them effectively
  • Ethical Reasoning: Learn to apply ethical reasoning in leadership/managerial roles
  • Strategic Decision-Making: Apply relevant information to arrive at a well-rounded conclusion
  • Leadership: Apply relevant information to increase understanding of various leadership theories and the application of leadership skills
  • Oral Communication: Synthesize key business concepts and orally communicate them effectively
  • Ethical Reasoning: Learn to apply ethical reasoning in leadership/managerial roles
  • Strategic Decision-Making: Apply relevant information to arrive at a well-rounded conclusion
  • Leadership: Apply relevant information to increase understanding of various leadership theories and the application of leadership skills

Career outcomes:

  • Data Scientist
  • Financial Analyst
  • Project Manager
  • Business Consultant
  • Marketing Director
  • Data Scientist
  • Financial Analyst
  • Project Manager
  • Business Consultant
  • Marketing Director

Also available

Check out our other online MBA programs.

$11,550 Total Tuition
As few as 14 months Duration
33 Credit Hours
AACSB Accredited, Association to Advance Collegiate Schools of Business

The School of Business at Henderson State University is accredited by The Association to Advance Collegiate Schools of Business (AACSB International).

Need More Information?

Call 877-266-0012

Call 877-266-0012

Tuition

Learn more about our affordable tuition

The MBA in Data Science online program tuition is the same affordable, pay-by-the-course rate for all U.S. residents. Fees are included in the total tuition. Financial aid may be available for eligible students.

Tuition breakdown:

$11,550 Total Tuition
$350 Tuition per credit hour

Financial Aid

Financial Aid

To be eligible for financial aid, complete the Free Application for Federal Student Aid online at fafsa.gov. Henderson State’s institutional code is 001098.

Tuition breakdown:

$11,550 Total Tuition
$350 Tuition per credit hour

Calendar

Look at these important dates for our students

Our MBA in Data Science online program offers a convenient course schedule with 7-week courses and multiple start dates. View the full calendar for all upcoming starts and corresponding deadlines.

Now enrolling:

10/4/21 Apply Date
10/18/21 Class Starts
TermStart DateApp DeadlineDocument DeadlineRegistration DeadlineTuition DeadlineClass End Date
Fall 18/16/218/5/218/9/218/13/218/16/2110/1/21
Fall 210/18/2110/4/2110/11/2110/15/2110/18/2112/3/21
Spring 11/10/221/3/221/3/221/7/221/10/222/25/22
Spring 23/7/222/21/222/28/223/4/223/7/224/22/22

Now enrolling:

10/4/21 Apply Date
10/18/21 Class Starts

Have questions or need more information about our online programs?

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

Admissions

Check out the qualifications for our online degree

We’ve simplified the admission process to help you get started quickly and easily. You can find all requirements for admission to the Henderson online MBA in Data Science below.

Admission Requirements:

  • Bachelor’s degree
  • Minimum 2.5 GPA
  • GMAT waiver available

  • GPA requirements for unconditional admission: 2.7 cumulative grade point average at the completion of the undergraduate degree or 3.0 average or above in the last 60 hours of undergraduate coursework.
  • GPA requirements for conditional admission: 2.5-2.69 cumulative grade point average at the completion of the undergraduate degree.
  • GMAT Waiver:
    • 3.5-4.0 cumulative GPA OR a 3.0-4.0 GPA in the last 60 credit hours for automatic GMAT waiver
    • 2.7-2.99 GPA with three years of work experience OR 2.5-2.69 GPA with five years of work experience
  • If completing the GMAT, the minimum score is calculated as 200 times the undergraduate GPA plus the GMAT score. The applicant must achieve a minimum index of 1000. The minimum acceptable GMAT score is 400.
  • All applicants for the MBA program must submit their resume.

Courses

See the topics you’ll study in our online program

In order to earn your MBA in Data Science online, you will complete 11 courses for a total of 33 credit hours. There are no leveling courses or prerequisites required.

All concentrations include 12 core hours
Duration: 7 weeks
Credit Hours: 3
This course reviews the application of accounting to firms in manufacturing, retailing and service industries. The course emphasizes using accounting information to make management decisions including analyzing financial statements, cost analysis, budgeting, and capital investment decisions.
Duration: 7 weeks
Credit Hours: 3
A graduate course designed to develop an understanding of leadership styles in management and to further ethical reasoning in the management field.
Duration: 7 weeks
Credit Hours: 3
This course addresses "real world" issues from both theoretical and practical standpoints for most types of businesses, proprietorships, partnerships, and corporations. The specific objectives for the course include the following: 1) financial management of the firm with special emphasis on financial planning, capital budgeting, and cost of capital concepts; 2) an analysis of management aspects relating to the inflow and outflow of capital in business enterprise; and 3) practicing financial decision-making through case methods.
Duration: 7 weeks
Credit Hours: 3
The course examines the key issues involved in formulating and implementing corporate strategies. These issues are approached from the position of the general manager, who must analyze complex business situations and find realistic solutions to strategic and organizational problems. The course merges various functional areas and provides students with a "total business" perspective on corporate and international strategy. Students also receive an overview of contemporary business and its future.
All students take this course regardless of background; must complete prior to registering for any additional courses.
Duration: 7 weeks
Credit Hours: 3
In this course, you will receive the knowledge, skills, and abilities to prepare you for the rigors of the MBA program. In order to accomplish this objective, we deliver online work which covers the fundamentals of accounting, finance, data science/economics, management, and marketing. All incoming MBA students, regardless of undergraduate degree, will enroll in the Boot Camp.
Data Science Students must take all courses listed below.
Duration: 7 weeks
Credit Hours: 3
An application of micro- and macroeconomic theories to managerial decision-making including demand and cost analysis, theory of the firm, monetary policy and the Federal Reserve System with an emphasis on quantitative economic analysis.
Duration: 7 weeks
Credit Hours: 3
This course examines the various ways in which information technology can be leveraged by an organization for competitive advantage and addresses the issue of IT strategy and evaluation. Attention is given to strategic implementation of technology, developing and maintaining secure and effective systems, and externally focused systems.
Duration: 7 weeks
Credit Hours: 3
This course will build students' capability to manage an analytics workforce, lead analytics team/project, and operate as an analytics translator. The course will introduce students to the principles of evidence-based management and analytics. This involves the appraising of scientific evidence and the processing of information and data for managerial decision-making. The course will also equip students with skills for gathering primary local evidence for problems and managerial decisions.
Duration: 7 weeks
Credit Hours: 3
A graduate marketing seminar to provide a comprehensive knowledge of marketing strategy and marketing program development. Students will be expected to read widely in the marketing literature. They will solve business problems using case analyses and/or simulation. It is recommended that this "capstone" course be taken near the end of the student's program of study.
Duration: 7 weeks
Credit Hours: 3
This course will teach students how to do data science: They will learn how to get data, get it into the most useful structure, transform it, visualize it, model it, and communicate effectively. In this course, students will find a practicum of skills for data science. They will learn the skills that allow data science to happen and apply best practices for doing data science. Topics that students may learn include; how to use the grammar of graphics, literate programming, and reproducible research to save time, as well as, how to manage cognitive resources to facilitate discoveries when wrangling, visualizing, and exploring data. These courses will be 7 weeks in Fall/Spring and 10 weeks in Summer
Duration: 7 weeks
Credit Hours: 3
Variable content course, covering current and advanced topics in data science. Credit will vary from one to three hours. May be repeated with a change in content. Prerequisite: Consent of the instructor. These courses will be 7 weeks in Fall/Spring and 10 weeks in Summer

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