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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.
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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 MBA data science 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.
Data science career paths:
- 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
Data science career paths:
- 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.
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:
Program | Per Credit Hour | Per Course | Per Program |
---|---|---|---|
MBA in Data Science | $378 | $1,134 | $12,474 |
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:
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:
Term | Start Date | App Deadline | Document Deadline | Registration Deadline | Tuition Deadline | Class End Date |
---|---|---|---|---|---|---|
Spring 1 | 1/14/25 | 1/3/25 | 1/6/25 | 1/8/25 | 1/14/25 | 3/2/25 |
Spring 2 | 3/2/25 | 2/24/25 | 3/3/25 | 3/5/25 | 3/11/25 | 4/27/25 |
Summer 1 | 5/5/25 | 4/21/25 | 4/28/25 | 4/30/25 | 5/6/25 | 6/15/25 |
Summer 2 | 6/23/25 | 6/9/25 | 6/16/25 | 6/18/25 | 6/24/25 | 8/3/25 |
Now enrolling:
Have questions or need more information about our online programs?
Ready to take the rewarding path toward earning your degree online?
Admissions
Learn about the qualifications for our online data science MBA 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 waived
GMAT is waived for all students with a 2.7 GPA or better.
- Resume required for the MBA program
- GPA requirements for unconditional admission:
- 2.7 cumulative undergraduate GPA or 3.0 GPA in the last 60 hours of undergraduate coursework from a Regionally Accredited Institution (Non-Accredited Institution Transcripts can be submitted for further review before a final admission decision is made)
- GPA requirements for conditional admission:
- 2.5-2.69 cumulative undergraduate GPA
- If a student is Conditionally Admitted – A GMAT or GRE score must be submitted to the Office of the Graduate School before completing 12 graduate hours. The minimum acceptable GMAT score is 400.
Courses
See the topics you'll study in our online graduate business courses
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.
Learning Outcomes
- Critically analyze the role of accounting in business
- Utilize accounting data to make data-backed decisions
- Effectively describe, interpret, and draw conclusions related to accounting issues in both written and oral formats
Learning Outcomes
- Articulate personal and organizational leadership principles
- Demonstrate personal and organizational ethical reasoning
- Cultivate leadership skills
- Evaluate ethical dilemmas and approaches
Learning Outcomes
- Demonstrate proficiency in financial management by determining optimal capital structures, creating proforma financial statements, and utilizing ratio analysis for statement assessments
- Apply traditional evaluation models for capital budgeting analyses and estimate the value of various securities issued by corporations
- Assess factors influencing debt versus equity structures and dividend decisions, as well as motives for mergers and acquisitions, ensuring appropriate valuation
Learning Outcomes
- Employ current strategic management frameworks for a variety of strategic problems
- Assess strategic opportunities on a company-wide basis
- Adapt an organization's strategic position to the current business environment
- Develop a plan to execute strategic goals in the organization
- Analyze various uses of technology to create, monitor, and control a strategic plan
Learning Outcomes
- Define critical business terms in a variety of functional areas
- Apply a model of critical thinking to a variety of business problems
- Explain the use of a variety of business tools for business problem-solving
- Recommend a problem-solving approach for business problems
Learning Outcomes
- Apply and graph key economic models
- Interpret economic indicators and public policies using economic models
- Calculate key economic measures
Learning Outcomes
- Assess a business strategy informed and created by IT capabilities
- Evaluate an organization's comprehensive IT architecture and models
- Develop a plan to create an analytics culture within an organization
- Evaluate emerging key issues in the IT industry
- Appraise Google Cloud services as an IT infrastructure technology for business needs
Learning Outcomes
- Demonstrate knowledge of principles of evidence-based management and the analytic techniques for processing data/information for insight
- Acquire and evaluate scientific evidence for problem resolution and managerial decisions
- Develop and present an analytical project for decisions in organizations
- Utilize the insights from data and analytical outputs to problems and managerial decisions
- Articulate evidence effectively to influence organizational decisions
Learning Outcomes
- Utilize the marketing strategy framework by employing the strategic marketing management process
- Articulate the importance of creating customer value through customer centricity and the significance of consumer behavior in the buying process
- Evaluate the market through segmentation, targeting, and positioning strategies
- Assess brand, promotion, pricing, and distribution strategies
Learning Outcomes
- Use R at the beginner level to import and review data, transform and summarize datasets, and create exploratory data visualizations
- Use R at the intermediate level to conduct exploratory data analysis
- Use R Markdown to create reproducible reports
Learning Outcomes
- Describe the key design principles and techniques for visualizing data and explain how to present data with storytelling
- Create data visualizations that aid decision-making
- Use Excel to create visualization at the intermediate/advanced level
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