Master of Science in Applied Digital Technology with a Concentration in Artificial Intelligence and Machine Learning Online
Position yourself in the forefront of today’s technology-driven world with an online Master of Science in Applied Digital Technology with a Concentration in Artificial Intelligence and Machine Learning from Arkansas State University.
Program Overview
Discover the advantages of our online M.S. in Applied Digital Technology – Artificial Intelligence and Machine Learning
This program will empower you with core business competencies as you discover how information systems aid managers in decision making, learn the principles of project management, and study current topics pertinent to management and society. Discover machine learning trends along with architecture and programming concepts. Develop AI and machine learning solutions and deployment options to drive efficiency and success for your organization.
Designed for flexibility, this online program can be customized with a blend of business and technology electives to meet your personal and professional goals.
In this 100% online M.S. in Applied Digital Technology – Artificial Intelligence and Machine Learning, 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
- Tailor a portion of your degree with a second area of emphasis or a blend of business- and technology-related elective courses
- Understand and utilize design, development, and deployment concepts in AI and machine learning in business situations
- 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
- Tailor a portion of your degree with a second area of emphasis or a blend of business- and technology-related elective courses
- Understand and utilize design, development, and deployment concepts in AI and machine learning in business situations
As a graduate of the M.S. in Applied Digital Technology – Artificial Intelligence and Machine Learning program, you will be prepared for advancement into roles such as:
- Project Manager
- Director of Process Improvement
- Implementation Analyst
- Automation Implementation Manager
- Product Manager
- Digital Application Manager
- Project Manager
- Director of Process Improvement
- Implementation Analyst
- Automation Implementation Manager
- Product Manager
- Digital Application Manager
Also available:
A-State offers a variety of graduate programs in a convenient online format. Explore our full range of online graduate programs.
Calendar
Upcoming dates you need to know
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 |
|---|---|---|---|---|---|---|
| Summer 1 | 5/28/24 | 5/14/24 | 5/17/24 | 5/23/24 | 5/24/24 | 6/27/24 |
| Summer 2 | 7/2/24 | 6/18/24 | 6/21/24 | 6/27/24 | 6/28/24 | 8/1/24 |
| Fall 1 | 8/20/24 | 8/5/24 | 8/9/24 | 8/15/24 | 8/16/24 | 10/4/24 |
| Fall 2 | 10/14/24 | 9/30/24 | 10/4/24 | 10/10/24 | 10/11/24 | 12/6/24 |
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Ready to take the next step toward earning your degree online from A-State?
Admissions
Get started by checking these admission requirements
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 – Artificial Intelligence and Machine Learning 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 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.
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]
Courses
Browse the courses in your online M.S. in Applied Digital Technology – Artificial Intelligence and Machine Learning
To graduate from the M.S. in Applied Digital Technology – Artificial Intelligence and Machine Learning 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).
Visit the Course Registration page to view the course schedule for this degree.
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.