Program Overview
Review the Online M.S. in Applied Digital Technology – Business Analytics program
Ready yourself for a broad range of career opportunities in business and tech with a Master of Science in Applied Digital Technology with a Concentration in Business Analytics from Arkansas State University. Prepare to lead in a fast-growing industry, according to the U.S. Bureau of Labor Statistics.
$10,923
Program Tuition
As few as 12 months
Program Duration
33
Credit Hours
$10,923
Total Tuition
As few as 12 months
Program Duration
33
Credit Hours
In this 100% online program, you will examine how information systems aid managers in decision making, learn the principles of project management, and study current topics pertinent to management and society. Explore the tools that use data to make informed management decisions and perform an in-depth study of data mining — focusing on the knowledge discovery process and how it is harnessed for decision support systems (DSS). Gain experience in a hands-on capstone course where student teams develop and present strategic plans for public, private, profit and not-for-profit organizations.
Designed for flexibility, this online program can be customized with a blend of business and technology electives to meet your personal and professional goals.
A-State is High Quality
A-State is recognized among the U.S. News & World Report's "Top Public Schools, National Universities" for 2023.
In this 100% online M.S. in Applied Digital Technology – Business Analytics, you will learn how to:
- Effectively quantify and communicate the business requirements for technology-related projects
- Assess and understand the impacts of technology decisions on management and business operations
- Apply project management concepts to manage a technologically related project from concept to delivery
- Tailor a portion of your degree with a second area of emphasis or a blend of business and technology related elective courses
- Understand data mining and its role in determining requirements for data modeling
- Utilize data mining and data tools for effective business decision-making
As a graduate of the M.S. in Applied Digital Technology – Business Analytics program, you will be prepared for advancement into roles such as:
- Project Manager
- Director of Process Improvement
- Implementation Analyst
- Data Analyst
- Data Manager
- Business Analyst
- Analytics Manager
Also available online at A-State:
Tuition
Earn Your Degree Affordably with Our Low-Cost Tuition
Our online M.S. in Applied Digital Technology – Business Analytics program offers the same affordable tuition to all U.S. residents. All fees are included.
| Per Credit Hour | Per Course | ||||
|---|---|---|---|---|---|
| U.S. Resident Tuition | Required Fees | Total | U.S. Resident Tuition | Required Fees | Total |
| $291.00 | $40.00 | $331.00 | $873.00 | $120.00 | $993.00 |
A-State is Top Ranked
A-State is ranked among the "Top 10 Best Colleges in Arkansas" by CollegeChoice.net, 2021
Calendar
Follow these Dates to Apply, Enroll and Start Classes
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 |
|---|---|---|---|---|---|---|---|---|
| Spring 2023 | 7 wk | 03/06/2023 | 04/28/2023 | 02/20/2022 | 02/24/2022 | 03/02/2023 | 03/03/2023 | 04/15/2023 |
| Summer 2023 | 7 wk | 05/08/2023 | 06/23/2023 | 04/24/2023 | 04/28/2023 | 05/04/2023 | 05/05/2023 | 06/09/2023 |
| 7 wk | 06/26/2023 | 08/11/2023 | 06/12/2023 | 06/16/2023 | 06/22/2023 | 06/23/2023 | 07/28/2023 | |
| 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 |
Admissions
Learn About Our Streamlined Admission Process
A-State Online offers a streamlined admission process to help you get started quickly and easily. To be admitted to the M.S. in Applied Digital Technology – Business Analytics 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 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. 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
Take a Closer Look at the Online M.S. in Applied Digital Technology – Business Analytics Courses
To graduate from the M.S. in Applied Digital Technology – Business Analytics online program, you must complete a total of 33 credit hours. Required coursework includes four core courses (for a total of 12 credit hours), four concentration courses (for a total of 12 credit hours) and three elective 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.
MIS 6413: Management Information Systems
Duration: 7 weeks | Credit Hours: 3
The spectrum of the information needs of organizations. (1) Provides understanding of the uses of information by operational subsystems such as production, finance, marketing, personnel, etc. (2) Provides an analysis of the information needs of middle and top-level management, and the use of information systems to aid managers in the decision-making process. (3) Provide student with an understanding of the use of information systems to gain competitive advantage and how to manage information as an organizational resource.
MIS 6493: Seminar in Information Systems
Duration: 7 weeks | Credit Hours: 3
A study of new concepts, topics, and is- sues in Information Systems as heralded in current literature. Students are expected to research and report on pertinent topics as to the effects on management and the impact on society.
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.
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.
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.
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.
Students must select three courses (nine credit hours) from other tracks within the M.S. in Applied Digital Technology program or advisor-approved courses in business and statistics.
Next Start Date: