MBA in Business Analytics Online
Prepare for leadership roles using data analysis applicable to a broad range of industries. Develop career-relevant expertise in data mining, strategic management and predictive decision-making while building core business strengths.
Program Overview
The what, why and how of our online MBA in Business Analytics
Prepare for leadership roles across a broad range of industries with a 100% online Master of Business Administration with a Concentration in Business Analytics from Arkansas State University. In addition to essential management skills, you will develop career-relevant expertise in data mining, strategic management and predictive decision-making.
Build and enhance your core business strengths in management and leadership with this AACSB-accredited master’s in business analytics online program. You will also gain hands-on experience in modeling and representing real-world, complex systems through data analysis to study behavior in uncertain environments and identify the best course of action by predicting outcomes.
Remain connected with the A-State Online MBA faculty, most of whom have the highest degrees in their fields along with extensive experience as consultants and practitioners. This affordable, flexible program will give you the in-demand skillset that can help lead you to a broad range of lucrative positions.
In this 100% online MBA in Business Analytics, you will learn how to:
- Apply strategic and analytical skills to identify and solve business problems
- Effectively facilitate communication and decision-making within an organization
- Gain a conceptual and technical foundation in business analytics, marketing metrics and quantitative methods for decision-making and predictive analysis
- Evaluate strategic objectives to facilitate change, enhance organizational effectiveness and operational performance, and adapt to dynamic business environments
- Apply strategic and analytical skills to identify and solve business problems
- Effectively facilitate communication and decision-making within an organization
- Gain a conceptual and technical foundation in business analytics, marketing metrics and quantitative methods for decision-making and predictive analysis
- Evaluate strategic objectives to facilitate change, enhance organizational effectiveness and operational performance, and adapt to dynamic business environments
As a graduate of the MBA program, you will be prepared for advancement into roles such as:
- Database Administrator
- Supply Chain Analyst
- Management Consultant
- Business Intelligence Analyst
- Director of Business Operations
- Database Administrator
- Supply Chain Analyst
- Management Consultant
- Business Intelligence Analyst
- Director of Business Operations
Also available:
A-State offers a variety of MBA programs in a convenient online format. Explore our full range of online MBA programs.
Accreditation
The Neil Griffin College of Business at Arkansas State University is an accredited member of AACSB International, which represents the highest standard of achievement for business schools worldwide.
Tuition
Look forward to affordable tuition and financial aid if you qualify
Our online MBA – Business Analytics program offers the same affordable tuition to all U.S. residents. All fees are included. Tuition may be subject to change on a yearly basis.
Tuition breakdown:
Calendar
Take note of these important dates
Ideal for working professionals, Arkansas State online programs are delivered in an accelerated format with multiple start dates each year.
Please note Summer 1 and Summer 2 terms are 5 weeks in duration for this program.
| Term | Program Start Date | Application Deadline | Document Deadline | Registration Deadline | Payment Due | Last Class Day |
|---|---|---|---|---|---|---|
| Spring 1 | 1/12/26 | 12/15/25 | 12/15/25 | 1/8/26 | 1/9/26 | 2/27/26 |
| Spring 2 | 3/9/26 | 2/23/26 | 2/23/26 | 3/5/26 | 3/6/26 | 5/1/26 |
Now enrolling:
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Ready to take the next step toward earning your degree online from A-State?
Admissions
Review the details for admission to A-State's MBA in Business Analytics
A-State Online offers a streamlined admission process to help you get started quickly and easily. To be admitted to the MBA online program, you must have a bachelor's degree from an accredited institution.
Admission Requirements:
- Online application
- Bachelor's degree
- Cumulative GPA 2.5
- Bachelor’s degree from an accredited university with at least a 2.5 cumulative GPA or a 2.75 in the last 60 hours (undergraduate, graduate or combination thereof) or graduate or post-baccalaureate professional degree from a regionally accredited (U.S.) institution
- If you have lower than a 2.5 cumulative GPA and less than a 2.75 in the last 60 hours, you may still apply for consideration for admittance by including a statement of purpose as part of the application. Please contact an Enrollment Services representative at 866-621-8096 for more information.
Note: If you are admitted and have less than a 2.75 cumulative GPA and less than a 3.0 GPA in the last 60 hours, you must make a grade of B or better in each course during the first 9 hours of graduate work at Arkansas State University as part of a conditional admission status. Additionally, you will only be allowed to enroll in one course (or 3 graduate hours) per 7-week session for the first two sessions.
Application submission requirements:
- Complete online application
- Submit a nonrefundable $30 fee.
- Have official transcript(s) sent from the registrar of the college/university attended. Official transcripts are sealed transcripts sent from the granting institution.
Submit all documents to:
A-State OnlineP.O. Box 2520
State University, AR 72467
Fax: 870-972-3548
Email: [email protected]
For non-U.S. postal mail overnight delivery only:
A-State Online
c/o Central Receiving
2713 Pawnee St.
Jonesboro, AR 72401
Courses
Here's the course list for your online MBA in Business Analytics
To graduate from the Master of Business Administration with a Concentration in Business Analytics online program, you must complete a total of 33 credit hours. Required coursework includes eight core courses (for a total of 24 credit hours) and three concentration courses (for a total of nine credit hours).
Visit the Course Registration page to view the course schedule for this degree.
What is corporate financial management?
Corporate financial management makes strategic decisions about capital budgeting, capital structure, working capital, and dividend policy. It applies valuation methods, assesses financial risks, and allocates resources to maximize shareholder wealth. This discipline balances investment opportunities with financing strategies and operational funding needs.
This course explores capital budgeting, capital structure, working capital management, and dividend policy decisions. You'll apply valuation methods, assess financial risks, and develop strategies to maximize shareholder wealth. Through case analysis and financial modeling, you will practice making decisions that balance investment opportunities with financing needs across different industries and business cycles.
Upon completion, students will be able to:
Apply quantitative and qualitative knowledge to solve problems and make decisions
What is business analytics?
Business analytics transforms data into actionable insights through descriptive, predictive, and prescriptive methods. It includes statistical analysis, forecasting models, optimization techniques, and data visualization. This discipline supports data-driven management decisions by identifying patterns, forecasting outcomes, and recommending strategic actions.
This course will develop your quantitative skills for data-driven decision-making in business contexts. Learn to use optimization methods to find the best solutions for resource allocation problems, apply simulation techniques to model complex scenarios under uncertainty, and leverage data mining tools to extract insights from business data.
Upon completion, students will be able to:
Articulate the strategic role of analytics, differentiate between spreadsheets and relational databases and set up a professional analytics environment using Python, R and SQL
Design relational databases, write advanced SQL queries and explain data warehouse architecture
Apply statistical methods and data visualization techniques to summarize business data and communicate insights
Build and evaluate predictive models including regression, forecasting and classification
Formulate business problems using optimization and simulation to recommend strategic actions
What is strategic marketing?
Strategic marketing develops market-driven strategies through environmental analysis, segmentation, targeting, and positioning. It creates competitive advantages through differentiation, brand management, and value creation. This discipline aligns marketing initiatives with corporate objectives while building long-term customer relationships and measuring performance.
This course builds strategic marketing capabilities through environmental analysis, market segmentation, and competitive positioning. You will develop differentiation strategies and brand management approaches to address customer satisfaction, diverse market needs, product innovation, and global competitive pressures.
Upon completion, students will be able to:
Speak and interpret marketing language
Recognize and evaluate marketing strategies
Examine the influences behind observed marketing strategies
Objectively evaluate and create marketing strategies
Develop creativity and empathy in storytelling
What is data mining?
Data mining discovers patterns and insights in large datasets through the knowledge discovery process. It uses algorithms for classification, clustering, association rules, and predictive analytics. This technique extracts valuable knowledge from data to support business intelligence and decision support systems.
This course develops your ability to extract meaningful insights from large datasets through the knowledge discovery process. You'll learn to apply data mining algorithms—including classification, clustering, association rules, and predictive analytics—using specialized software tools. Through hands-on projects with real business datasets, you'll develop proficiency in building predictive models and translating technical findings into business recommendations.
Upon completion, students will be able to:
Understand key concepts and trends in data mining
Explore tools and software used for data mining solutions
Apply data mining techniques within decision support systems
Gain practical experience through hands-on exercises
What is advanced data mining?
Advanced data mining applies sophisticated techniques including machine learning algorithms, ensemble methods, neural networks, and deep learning. It analyzes unstructured data through text analytics and uses distributed computing for big data. These methods solve complex business problems through advanced pattern recognition.
This course builds on foundational data mining knowledge with advanced techniques for decision support systems and complex analytical challenges. You'll learn ensemble methods like random forests and gradient boosting to improve model accuracy, apply deep learning and neural networks for sophisticated pattern recognition, and use text analytics to mine insights from unstructured data.
Upon completion, students will be able to:
Apply advanced data mining techniques to support decision-making
Build and evaluate predictive models using structured data
Analyze and interpret outcomes from various modeling approaches
Use data-driven insights to inform strategic decisions in uncertain environments