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.
$16,500
Program Tuition
As few as 12 months
Program Duration
33
Credit Hours
$16,500
Total Tuition
As few as 12 months
Program Duration
33
Credit Hours
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.
The Arkansas State University Neil Griffin College of Business is accredited by AACSB International (AACSB), which represents the highest standard of achievement for business schools worldwide. Fewer than 6% of the world's schools offering business degree programs hold AACSB business accreditation, the hallmark of excellence in business education.
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
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
A-State is ranked #6
among the “Top 10 Best Colleges in Arkansas” by Collegechoice.net, 2020
Also available online at A-State:
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.
| Per Credit Hour | Per 3-Hour Course | ||||
|---|---|---|---|---|---|
| U.S. Resident Tuition | Required Fees | Total | U.S. Resident Tuition | Required Fees | Total |
| $460 | $40 | $500 | $1,380 | $120 | $1,500 |
A-State is Top Ranked
A-State ranks in the top half of universities on U.S. News & World Report’s "Top Public Schools, National Universities" for 2022.
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.
Next Start & Application Due Dates:
| Term | Length | Course Begin | Course End | Application Deadline | Document Deadline | Registration Deadline | Payment Deadline | Last Day to Withdraw |
|---|---|---|---|---|---|---|---|---|
| Summer 2023 | 5 wk | 05/30/2023 | 06/30/2023 | 05/15/2023 | 05/19/2023 | 05/25/2023 | 05/26/2023 | 06/19/2023 |
| 5 wk | 07/03/2023 | 08/04/2023 | 06/19/2023 | 06/23/2023 | 06/29/2023 | 06/30/2023 | 07/21/2023 | |
| Fall 2023 | 7 wk | 08/21/2023 | 10/06/2023 | 08/07/2023 | 08/11/2023 | 08/17/2023 | 08/18/2023 | 09/22/2023 |
| 7 wk | 10/16/2023 | 12/08/2023 | 10/02/2023 | 10/06/2023 | 10/12/2023 | 10/13/2023 | 11/17/2023 | |
| Spring 2024 | 7 wk | 01/08/2024 | 02/23/2024 | 12/15/2023 | 12/19/2023 | 01/04/2024 | 01/05/2024 | 02/09/2024 |
| 7 wk | 03/04/2024 | 04/26/2024 | 02/19/2024 | 02/23/2024 | 02/29/2024 | 03/01/2024 | 04/05/2024 | |
| Summer 2024 | 5 wk | 05/28/2024 | 06/27/2024 | 05/14/2024 | 05/17/2024 | 05/23/2024 | 05/24/2024 | 06/14/2024 |
| 5 wk | 07/02/2024 | 08/01/2024 | 06/18/2024 | 06/21/2024 | 06/27/2024 | 06/28/2024 | 07/26/2024 |
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.
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 6 hours of graduate work at Arkansas State University. Additionally, you will only be allowed to enroll in one course (or 3 graduate hours) per 7-week session for the first two sessions.
- 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.
Additional Information
Submit all documents to:
A-State OnlineP.O. Box 2520
State University, AR 72467
Fax: 870-972-3548
Email: [email protected]
For Non-US Postal Mail Overnight Delivery Only:
Academic Partnershipsc/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 – 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).
MBA 5003: Graduate Business Fundamentals
Duration: 7 weeks | Credit Hours: 3
The course focuses on the essentials of core business functions with an emphasis on integrating applied business statistics, economics, financial accounting, and corporate finance. This course ensures that students have the required business acumen to succeed in the graduate business core.
ACCT 6003: Accounting for Planning and Control
Duration: 7 weeks | Credit Hours: 3
The course is an introduction to the concepts of cost analysis and management control with a focus on the application of the conceptual framework of financial and managerial accounting to practical situations.
ECON 6313: Managerial Economics
Duration: 7 weeks | Credit Hours: 3
This is a complete survey of price theory as applied to business decision-making and a summary of public policy toward business.
FIN 6723: Corporate Financial Management
Duration: 7 weeks | Credit Hours: 3
This course examines organization, policy, administration, institutions, and instruments involved in financing the modern business corporation. Quantitative financial relations are measured and expressed. Financial plans are prepared for corporations in different industries and in different stages of the business cycle. Financial management appraised and business judgment developed through short problem and case methods.
MGMT 6023: Fundamentals of Project Management
Duration: 7 weeks | Credit Hours: 3
Examines the practice and principles of project management. Topics include identifying and selecting projects, developing project proposals, sequencing workflows, estimating project duration, and budgeting.
MGMT 6423: Simulation for Predictive Decision Making
Duration: 7 weeks | Credit Hours: 3
An integrated capstone course focusing on the role of management in crafting and implementing strategy to achieve “fit” between an organization and its environment. An action-based approach involves student teams in developing and presenting strategic plans for public, private, profit and not-for-profit organizations.
MIS 6543: Business Analytics
Duration: 7 weeks | Credit Hours: 3
This course introduces MBA students to the basic tools in using data to make informed management decisions. This course presents a normative approach to making decisions in one’s personal and professional life. It covers optimization, linear programming, simulation, business modeling, data mining and business intelligence.
MKTG 6223: Strategic Marketing
Duration: 7 weeks | Credit Hours: 3
This course examines the concepts and processes for gaining competitive advantage in the marketplace. Students will investigate and develop strategies relating to the escalating importance of providing customer satisfaction, responses to diversity in the marketplace, development of new products, and recognition of the challenges from global competition.
MIS 6473: Data Mining
Duration: 7 weeks | Credit Hours: 3
Study of the knowledge discovery process, and how decision support systems (DSS) can be utilized to incorporate data mining algorithms for decision-making.
MIS 6523: Simulation for Predictive Decision Making
Duration: 7 weeks | Credit Hours: 3
Modeling and representing real- world, complex systems on computers to study their behavior in uncertain environments through well-structured experimentation to identify best course of action by predicting the outcomes of various decisions quickly and without taking real risks. Prerequisite, MBA 508V or a prior course in probability and statistics.
MIS 6573: Advanced Data Mining
Duration: 7 weeks | Credit Hours: 3
An in-depth study of the knowledge discovery process and how it is harnessed for decision support systems (DSS). Emphasis is placed on various DSS models that result from data mining operations including multiple regression, logistic regression and artificial neural networks.
Next Start Date: