Program Overview
Future proof your career with an artificial intelligence and machine learning degree
Explore emerging technologies that will transform the modern workplace as you earn a Bachelor of Science in Digital Technology & Design with a Concentration in Artificial Intelligence & Machine Learning degree. This online program deepens your understanding of computational intelligence and enhances your ability to devise innovative solutions to business challenges.



Learn the developmental aspects of digital business through coursework that emphasizes the analysis and design of AI, and develop your proficiency with Cloud deployments, array pressing and database interactivity.
The artificial intelligence & machine learning program can be completed quickly by transferring up to 90 credit hours toward your degree. Unlock expanded career opportunities by advancing to the forefront of computer learning and complex decision-making.
Learn industry-relevant skills that employers seek:
- Computer science
- Java/JavaScript
- Agile methodology
- Python programing language
Prepare for a broad range of professional roles, including:
- Machine Learning/AI Associate
- Data Scientist
- Data Analyst
- AI Developer
- Machine Learning Implementation
Projected Earning Potential:
The median salary for AI & Machine Learning careers is $99,000 per year, according to the Bureau of Labor Statistics.
Also available:
- B.S. in Digital Technology & Design – Cloud Computing & Cybersecurity Design
- B.S. in Digital Technology & Design – Game Design
- B.S. in Digital Technology & Design – Graphic Communications
- B.S. in Digital Technology & Design – Mobile App Development
- B.S. in Digital Technology & Design – Social Media
- B.S. in Digital Technology & Design – Software Design & Development
- B.S. in Digital Technology & Design – Virtual Reality Production
- B.S. in Digital Technology & Design – Web Design
- B.S. in Digital Technology & Design – Web Development
You may be closer to graduation than you think!
A-State-approved credit for prior learning recognizes your previous accomplishments, reducing your tuition costs and time to graduation.
Tuition
Our affordable tuition won't compromise your budget
A-State's online programs are affordable and convenient. You may also qualify for financial aid. Learn more.
The Bachelor of Science in Digital Technology & Design – Artificial Intelligence & Machine Learning online program offers the same low, pay-by-the-course tuition to all U.S. residents. All fees are included in the total tuition.


Transfer your credits for lower tuition
Use our Tuition Estimator to see how affordable your degree could be. Slide the notch to the number of credits you've already earned—which may qualify for transfer credit—to get an estimate of what your degree might cost.
Transcripts sent from other colleges and universities will be evaluated, and accepted credits will be added to the student's A-State record. The Tuition Estimator is not a guarantee or predictor of the number of credit hours that will be accepted.
Per Credit Hour | Per Course | ||||
---|---|---|---|---|---|
U.S. Resident Tuition | Required Fees | Total | U.S. Resident Tuition | Required Fees | Total |
$229.00 | $40.00 | $269.00 | $687.00 | $120.00 | $807.00 |
Calendar
Be conscious of these important dates
Our B.S. in Digital Technology & Design – Artificial Intelligence & Machine Learning online program is flexible and convenient—featuring accelerated coursework and multiple start dates per 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 | 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 | |
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 | 7 wk | 05/06/2024 | 06/20/2024 | 04/22/2024 | 04/26/2024 | 05/02/2024 | 05/03/2024 | 06/07/2024 |
7 wk | 06/24/2024 | 08/07/2024 | 06/10/2024 | 06/14/2024 | 06/20/2024 | 06/21/2024 | 08/02/2024 |
Admissions
Learn how to complete your online application
A-State Online offers a streamlined admission process for both new students and transfers. Students who are interested in the B.S. in Digital Technology & Design – Artificial Intelligence & Machine Learning online program should review and follow the requirements for admission below.
There are several paths to admittance at A-State:
- If you have 13 or more transferrable college credit hours, you would be admitted if you have a cumulative college GPA of at least 2.0 on previous college coursework
If you have 0-12 transferrable college credit hours and have been out of high school for five years or more, you would be admitted if you:
- Have a high school diploma or state-approved equivalent
- Have completed 12 or fewer earned college hours
- Have never enrolled as a student at A-State
Note: If you're admitted as a non-traditional first-time freshman, you may be required to successfully complete a predesignated curriculum of 12 hours (Certificate or Non-Degree). Upon successful completion, you will be transitioned to a degree seeking program.
- If you have 0-12 transferrable college credit hours and have been in high school within the last 5 years, you would be admitted if you have one of the following:
- 3.0 cumulative high school grade point average (or GED test score equivalent), OR
- 19 minimum ACT super score or minimum 990 combined SAT super score, OR
- Class rank in the top 20% of your graduating class
Submitting your application takes three easy steps: filling out the application, submitting your documents and paying the application fee.
- When completing the online application, select 100% online student and then complete all the steps on the online application.
- Pay $30.00 non-refundable application fee.
- Submit all official college transcripts.
- Submit official high school transcripts (if applicable).
- Submit official ACT/ SAT test scores (if applicable).
Note: If you have 0-12 transferrable college hours, test scores will still need to be submitted for reporting purposes to the Arkansas Department of Higher Education (ADHE); however, they are not needed for an admission decision. Accuplacer test scores are an acceptable alternative to ACT/SAT scores.
If you have any questions along the way, call us at 866-621-8096 866-621-8096, and we'll be happy to help answer questions.
Additional Information
Students who have attended any other institution of higher education must meet the following requirements.
For students who have:
- Fewer than 12 college hours: Submit official final high school transcript and official test scores.
- 13 - 23 college hours: Have a minimum of 2.0 grade point average on cumulative transcripts and official test scores.
- 24 or more college hours: Have a minimum of 2.0 grade point average on cumulative transcripts.
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
Discover what you'll learn in the artificial intelligence & machine learning program
To earn your Bachelor of Science in Digital Technology & Design – Artificial Intelligence & Machine Learning, you need to complete 120 credit hours of coursework. The program includes 38 credit hours of general education courses, 27 credit hours of major courses, 18 hours of concentration courses and 37 credit hours of elective courses. Students can finish faster by transferring previously earned credit hours. Transfer credit hours will be evaluated during the admission process.
These courses must be taken to complete your degree.
ISBA 1503: Microcomputer Applications
Duration: 7 weeks | Credit Hours: 3
Students will learn basic computer skills that can be used immediately, throughout college and beyond. Emphasis is on learning basic office applications in word processing, spreadsheets, databases and presentation graphics.
ISBA 2033: Programming Fundamentals
Duration: 7 weeks | Credit Hours: 3
This course is an introduction to Windows programming using Microsoft Visual Studio or a similar integrated development environment. Students learn to write programs using an object oriented programming language and incorporating sequence, selection, and repetition structures. Prerequisite: ISBA 1503
ENG 3023: Creative Writing
Duration: 7 weeks | Credit Hours: 3
This course focuses on the instruction and practice in the writing of poetry, fiction and drama. May be repeated with change of literary category.
GRFX 1113: Design Literacy
Duration: 7 weeks | Credit Hours: 2
Introduction to design literacy, color theory, typography, composition, and digital design software.
GRFX 2783: Human Centered Design
Duration: 7 weeks | Credit Hours: 3
Course features app design concepts, prototyping app interfaces and user testing.
GRFX 4603: Graphic Design Internship
Duration: 7 weeks | Credit Hours: 3
The internship features supervised work in a professional graphic design setting. May be repeated for credit.
GRFX 4773: Design Build
Duration: 7 weeks | Credit Hours: 3
User Experience Design focusing on the complete workflow of iOS app development. This course requires three or more hours per week outside of class. Restricted to B.S. in Digital Technology & Design majors. Prerequisite: a grade of C or better in GRFX 3733 and GRFX 3783.
GRFX 4793: Digital Technology and Design Portfolio
Duration: 7 weeks | Credit Hours: 3
Course focuses on the creative workflow of iOS app development.
PSY 3613: Cultural Psychology
Duration: 7 weeks | Credit Hours: 3
This course focuses on issues of how human culture impacts the individual’s behavior, attitudes and mental health.
These courses must be taken to complete your degree.
DIGI 3023: Introduction to Machine Learning
Duration: 7 weeks | Credit Hours: 3
Future trends in machine learning and their impact on society through case studies/use cases. Crosslisted as ISBA 3023.
DIGI 3063: Analysis and Design of AI
Duration: 7 weeks | Credit Hours: 3
Analyzation of AI use cases and completion of both high-level and low-level design. Prerequisites: grade C or better in DIGI 3023 or ISBA 3023.
DIGI 4023: Design and Development of AI
Duration: 7 weeks | Credit Hours: 3
AI use case implementation using Python programming. Architecting and machine learning as well as Python programming concepts related to AI and machine learning. Prerequisites: grade C or better in DIGI 3063 or ISBA 3063.
DIGI 4033: AI Deployment Solutions
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. Prerequisites: grade of C or better in DIGI 4023 or ISBA 4023.
ISBA 3033: Intermediate Programming
Duration: 7 weeks | Credit Hours: 3
Continuation of ISBA 2033 Programming Fundamentals. Uses language taught from previous semester in ISBA 2033. Emphasis is on array processing, multiple document applications, database interactivity, and programmer-written functions and classes. Prerequisites: "C" or better in ISBA 2033; or instructor permission.
MATH 2013: Math for Computational Intelligence
Duration: 7 weeks | Credit Hours: 3
Mathematics in the context of human centered design, including sets, algorithms, logic, probability, and statistics. Emphasis will be placed on exploring technologies that involve computational intelligence. Prerequisites: MATH 1023.
You must complete 37 credit hours of electives to satisfy the 120 credit hours required for this program. At least 3 of your elective hours must be upper level (3000 or 4000) courses. Courses must be chosen with the assistance of an advisor and per your degree plan. Electives can come from any courses offered as long as prerequisites are met.
Students must take the following courses.
First-year course:
You must take the following Making Connections course. If you transfer in more than 12 credit hours, you will not be required to take the Making Connections course. You may replace that 3-hour course with a 3-hour elective course.
UC 1013: Making Connections
Duration: 7 weeks | Credit Hours: 3
Required course for all first semester freshmen. Course content is centered around the skills and knowledge needed to be a successful ASU student, including academic performance, problem solving, critical thinking, self-management and group building skills, university policies and other relevant issues.
Departmental Option Course Requirement:
This 3-hour course for the degree plan is chosen by the department, not the individual student.
COMS 1203: Oral Communication
Duration: 7 weeks | Credit Hours: 3
This course focuses on the theory and practice of communication in interpersonal, small groups and public speaking contexts, emphasizing proficiency in message organization, delivery, and critical thinking.
Communication Requirement:
Students must complete 6 credit hours of the following courses.
ENG 1003: Composition I
Duration: 7 weeks | Credit Hours: 3
Study and practice of fundamentals of written communication, including principles of grammar, punctuation, spelling, organization, and careful analytical reading. Prerequisite, with grade of C or better, for ENG 1013.
ENG 1013: Composition II
Duration: 7 weeks | Credit Hours: 3
Continues the practice of ENG 1003 to develop further the skills learned in that course. Based on reading and discussion of various types of writing, the students’ essays will provide practice in different kinds of rhetorical development, including research and documentation.
Mathematics Requirement:
Students must complete 3 credit hours of either College Algebra or any higher-level mathematics course for which College Algebra is a prerequisite.
MATH 1023: College Algebra
Duration: 7 weeks | Credit Hours: 3
Equations and inequalities, functions and graphs, polynomial and rational functions, exponential and logarithmic functions, systems of equations and inequalities, matrices, and miscellaneous topics. No credit given if taken following MATH 1054.
MATH 1043: Quantitative Reasoning
Duration: 7 weeks | Credit Hours: 3
Quantitative Reasoning Quantitative reasoning as the approach to understanding relationships using mathematical and algebraic methodologies. Contemporary topics will be used to identify, analyze, generalize, and communicate quantitative relationships.
Arts and Humanities Requirement:
Students must complete 6 credit hours of Arts and Humanities courses.
ENG 2003: Introduction to World Literature I
Duration: 7 weeks | Credit Hours: 3
Introduction to the analysis and interpretation of literary works from several historical periods ranging from early civilizations through the Renaissance.
ENG 2013: Introduction to World Literature II
Duration: 7 weeks | Credit Hours: 3
Introduction to the analysis and interpretation of literary works from several historical periods ranging from the Renaissance to the present.
MUS 2503: Fine Arts – Music
Duration: 7 weeks | Credit Hours: 3
An introduction to music for the listener who has had no formal musical training or experience. A study of musical styles and composers and their cultural and historical contexts.
Social Sciences Requirement:
Students must complete 9 credit hours of Social Sciences courses. At least one course must be selected from POSC 2103, SOC 2213 or HIST 2773.
POSC 2103: Introduction to US Government
Duration: 7 weeks | Credit Hours: 3
The constitution, government, and politics of the United States.
SOC 2213: Principles of Sociology
Duration: 7 weeks | Credit Hours: 3
Human society and social behavior.
PSY 2013: Introduction to Psychology
Duration: 7 weeks | Credit Hours: 3
Study of the important scientific, principles of individual human behavior from biological, cognitive, social, and behavioral perspectives.
Life Science Requirement:
Students must complete 4 credit hours of Life Science courses, including one course and one lab.
BIO 1003: Biological Science
Duration: 7 weeks | Credit Hours: 3
The major characteristics and processes of life emphasizing the human organism. Promotes understanding of diversity and unity among living organisms with focus on ecological interactions and responsibilities of people within their social and natural environment. Lecture three hours per week. Special course fees may apply. Must be taken with BIO 1001.
BIO 1001: Biological Science Lab
Duration: 7 weeks | Credit Hours: 1
Laboratory, must be taken with BIO 1003. There will be a fee when purchasing the LabKit. Please visit the tuition and fees page for pricing.
Physical Sciences Requirement:
Students must complete 4 credit hours of Physical Science courses, including one course and one lab.
CHEM 1043: Fundamental Concepts of Chemistry I
Duration: Varies | Credit Hours: 3
An introduction to selected fundamental concepts including dimensional analysis, mole concept, atomic and molecular structure, nomenclature, chemical reactions, thermochemistry, intermolecular interactions, gases, mixtures, kinetics, equilibrium and acid base chemistry. Fall, Summer.
CHEM 1041: Fundamental Concepts of Chemistry Lab
Duration: Varies | Credit Hours: 1
Special course fees apply. Prerequisite or co-requisite of CHEM 1043. Fall, Summer.