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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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Start Class:
$12,474
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 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.
$12,474
Total Tuition
As few as 14 months
Duration
33
Credit Hours
The School of Business at Henderson State University is accredited by The Association to Advance Collegiate Schools of Business (AACSB International).
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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:
$12,474
Total Tuition
$378
Tuition per credit hour
| 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:
$12,474
Total Tuition
$378
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:
1/3/25
Apply Date
1/14/25
Class Starts
| 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:
1/3/25
Apply Date
1/14/25
Class Starts
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.
All concentrations include 12 core hours
ACC 6123: Accounting for Business & Management
Duration: 7 Weeks 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.
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
MGM 6183: Managerial Leadership and Ethics
Duration: 7 Weeks 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.
Learning Outcomes
- Articulate personal and organizational leadership principles
- Demonstrate personal and organizational ethical reasoning
- Cultivate leadership skills
- Evaluate ethical dilemmas and approaches
FIN 6113: Managerial Finance
Duration: 7 Weeks 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.
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
MGM 6123: Organizational Strategy
Duration: 7 Weeks 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.
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
DSC 6163 : Data Visualization
Duration: 7 Weeks weeks
Credit Hours: 3
This course presents strategies and methods for effective visualization and communication of data analyses. Standard and open-source data visualization software packages will be used to develop presentations that convey findings, answer business questions, drive decisions, and provide persuasive evidence supported by data.
All students take this course regardless of background; must complete prior to registering for any additional courses.
GBU 6353: MBA Foundations
Duration: 7 Weeks 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.
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
Data Science Students must take all courses listed below.
ECO 6213: Economic Analysis for Managerial Decisions
Duration: 7 Weeks 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.
Learning Outcomes
- Apply and graph key economic models
- Interpret economic indicators and public policies using economic models
- Calculate key economic measures
DSC 6253: Strategic Information Systems
Duration: 7 Weeks 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.
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
MGM 6013: Evidence-Based Management & Analytics
Duration: 7 Weeks 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.
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
MKT 6063: Marketing Management
Duration: 7 Weeks 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.
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
DSC 6113: Data Science for Business
Duration: 7 Weeks 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 6 weeks in Summer
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
