AI and machine learning professional

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.

Next Apply Date: 6/18/24
Next Class Start Date: 7/2/24
Apply Now
Next Apply Date: 6/18/24
Next Class Start Date: 7/2/24

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.

Total Tuition: $11,220
Program Duration: As few as 12 months
Credit Hours 33
Apply Now

Need More Information?

Call 866-621-8096

Call 866-621-8096

Tuition


Learn about tuition to fit your budget

Our online M.S. in Applied Digital Technology – Artificial Intelligence and Machine Learning program offers the same affordable tuition to all U.S. residents. All fees are included.

Tuition breakdown:

Per Credit Hour: $340
Total Tuition: $11,220

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.

TermProgram Start DateApplication DeadlineDocument DeadlineRegistration DeadlinePayment DueLast Class Day
Summer 15/28/245/14/245/17/245/23/245/24/246/27/24
Summer 27/2/246/18/246/21/246/27/246/28/248/1/24
Fall 18/20/248/5/248/9/248/15/248/16/2410/4/24
Fall 210/14/249/30/2410/4/2410/10/2410/11/2412/6/24

Now enrolling:

Next Apply Date 6/18/24
Start Class 7/2/24

Have questions or need more information about A‑State online programs?

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 Online
P.O. Box 2520
State University, AR 72467


Fax: 870-972-3548
Email: [email protected]

A leader in the pack

A-State is recognized among U.S. News & World Report's "Top Public Schools, National Universities" for 2023

A-STATE IS RANKED #3 among the “Top 10 Best Colleges in Arkansas” by Collegechoice.net, 2021

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.

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.
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.
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.
Duration: 7 weeks
Credit Hours: 3
This course examines the practice and principles of project management. Topics include identifying and selecting projects, developing project proposals, sequencing workflows, estimating project duration, and budgeting.
Duration: 7 weeks
Credit Hours: 3
Future trends in machine learning and their impact on society through case studies/use cases.
Duration: 7 weeks
Credit Hours: 3
Analyzation of AI use cases and completion of both high-level and low-level design.
Duration: 7 weeks
Credit Hours: 3
Architecting and machine learning as well as Python programming concepts related to AI and machine learning.
Duration: 7 weeks
Credit Hours: 3
Development of AI and machine learning solutions and the practice of various deployment options such as public cloud deployments.

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.

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