Master's in Applied Digital Technology Online
Stand out as an indispensable leader who is a skilled technologist and strategic manager able to support efforts for agencies across various industries.
Program Overview
Advance your career with the online master's in digital technology program
Strengthen your qualifications for in-demand leadership roles on the technical side of any company with the online Master of Science in Applied Digital Technology – General program. This versatile program integrates advanced technology and business concepts so you can oversee complex technical projects to completion. Expand your expertise with cybersecurity, AI deployment, machine learning solutions and information systems. Plus, develop your organizational leadership skills with courses on corporate finance, data analytics, project management and project scoping so you can effectively navigate software department challenges.
This affordable applied digital tech online degree program is designed to accommodate your schedule while providing a path to graduate in as few as 12 months. Tailor your learning by choosing the 12 credit hours of electives most aligned with your professional goals.
In this online master of science degree program, you will learn how to:
- Effectively communicate the business requirements for technology related projects
- Understand the impacts of technology decisions on management and business operations
- Apply project management concepts to manage a project from concept to delivery
- Effectively communicate the business requirements for technology related projects
- Understand the impacts of technology decisions on management and business operations
- Apply project management concepts to manage a project from concept to delivery
As a graduate of this digital technology degree, you will be prepared for advancement into roles such as:
- Project Manager
- Director of Process Improvement
- Implementation Analyst
- Project Manager
- Director of Process Improvement
- Implementation Analyst
In this 100% online master's program, you will develop skills in:
- AI development
- Cybersecurity
- Project management
- Leadership
- Planning
- Strategic thinking
- AI development
- Cybersecurity
- Project management
- Leadership
- Planning
- Strategic thinking
Also available:
A-State offers a variety of graduate programs in a convenient online format. Explore our full range of online master’s programs.
Tuition
Take advantage of pay-by-the-course tuition with the master of science online program
Our online M.S. in Applied Digital Technology – General 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
Use these online program dates to plan your academic journey
Ideal for working professionals, Arkansas State online programs are delivered in an accelerated format with multiple start dates each year.
| 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 |
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Admissions
Follow these steps for the online M.S. in digital technology program admission
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 – General online program, you must have a bachelor's degree from an accredited institution.
Admission Requirements:
- Bachelor’s degree
- Cumulative GPA 2.5
- Online application
- 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 Online
P.O. Box 2520
State University, AR 72467
Fax: 870-972-3548
Email: [email protected]
For Non-US Postal Mail Overnight Delivery Only:
A-State Onlinec/o Central Receiving
2713 Pawnee St.
Jonesboro, AR 72401
Courses
Explore the flexible M.S. in Digi Tech – General online course options
For the online digital technology course, you must complete a total of 33 credit hours including 21 credit hours of core courses and 12 credit hours of elective courses.
What are management information systems?
Management information systems use technology infrastructure to support organizational operations and strategic objectives across operational, tactical, and strategic levels. They include database architectures, enterprise resource planning, business intelligence tools, and IT governance frameworks. These systems align technology investments with business goals.
This course examines how organizations utilize information systems to support operations, facilitate decision-making, and achieve a competitive advantage. You will analyze information needs across different organizational levels—from operational systems that handle daily transactions in finance, marketing, and production to executive information systems that support strategic planning.
Upon completion, students will be able to:
Deliver effective oral presentations
Lead and productively participate in group situations
Apply quantitative and qualitative knowledge to solve problems and make decisions
Student progress will be assessed through case preparation, discussion, presentations, examinations, and debriefing write-ups.
What is cybersecurity risk management?
Cybersecurity risk management identifies, evaluates, and mitigates information security threats using qualitative and quantitative methods. It includes risk assessment frameworks, security policy development, and incident response protocols. This discipline protects organizational assets through proactive strategies aligned with industry standards like NIST and ISO.
This course covers qualitative and quantitative methodologies for cybersecurity risk management. Students will study principles of risk analysis and explore risk mitigation techniques for information security.
Upon completion, students will be able to:
Apply methodologies for cybersecurity risk management
Develop cybersecurity solutions with a focus on data protection and information security
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
Students must select three courses (12 credit hours) from other tracks within the M.S. in Applied Digital Technology program or advisor-approved courses in business and statistics.