Digital technology engineer

Bachelor of Science in Digital Technology & Design with a Concentration in Artificial Intelligence & Machine Learning Online

Gain the qualifications and knowledge for an exciting career in artificial intelligence. This cutting-edge online program enhances your experience with machine learning, AI and digital business.

Next Apply Date: 12/16/24
Next Class Start Date: 1/13/25
Apply Now
Next Apply Date: 12/16/24
Next Class Start Date: 1/13/25

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.

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Prepare for a broad range of professional roles, including:

  • Machine Learning/AI Associate
  • Data Scientist
  • Data Analyst
  • AI Developer
  • Machine Learning Implementation
Prepare for a broad range of professional roles, including:+
  • Machine Learning/AI Associate
  • Data Scientist
  • Data Analyst
  • AI Developer
  • Machine Learning Implementation

Learn industry-relevant skills that employers seek:

  • Computer science
  • Java/JavaScript
  • Agile methodology
  • Python programing language
Learn industry-relevant skills that employers seek:+
  • Computer science
  • Java/JavaScript
  • Agile methodology
  • Python programing language

Also available:

A-State offers a variety of undergraduate programs in a convenient online format. Explore our full range of online undergraduate programs.

Per Credit Tuition: $282
Transfer Credits: Up to 90 hours
Credit Hours 120
Apply Now

Need More Information?

Call 866-621-8096

Call 866-621-8096

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. Tuition may be subject to change on a yearly basis.

Tuition breakdown:

Per Credit Hour: $282
Per Course: $846

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.

0
90
Transfer Credits: 0
Your Estimated Tuition: $Your Estimated Tuition:
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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.

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.

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.

View full calendar  + 

TermProgram Start DateApplication DeadlineDocument DeadlineRegistration DeadlinePayment DueLast Class Day
Fall 210/14/249/30/2410/4/2410/10/2410/11/2412/6/24
Spring 11/13/2512/16/2412/18/241/9/251/10/252/28/25
Spring 23/10/252/24/252/28/253/6/253/7/255/2/25

Now enrolling:

Next Apply Date 12/16/24
Start Class 1/13/25

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?

Apply Now

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.

Admission Requirements:

  • Online application
  • Official transcripts
  • 2.0 GPA for transferring credits
View all admission requirements +

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 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 grad 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

​Application Submission Requirements

Submitting your application takes three easy steps: filling out the application, submitting your documents and paying the application fee.

  1. When completing the online application, select 100% online student and then complete all the steps on the online application.
  2. Pay $30.00 non-refundable application fee.
  3. Submit all official college transcripts.
  4. Submit official high school transcripts (if applicable).
  5. 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 and we’ll be happy to help answer questions.

Document Submission Address

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 Online
c/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.

Visit the Course Registration page to view the course schedule for this degree.

Expand All

These courses must be taken to complete your degree.

Duration: 7 Weeks 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.
Duration: 7 Weeks weeks
Credit Hours: 3
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. Fall.
Duration: 7 Weeks weeks
Credit Hours: 3
Instruction and practice in the writing of poetry, fiction, and drama. May be repeated with change of literary category.
Duration: 7 Weeks weeks
Credit Hours: 3
Introduction to design literacy, color theory, typography, composition, and digital design software.
Duration: 7 Weeks weeks
Credit Hours: 3
Course features app design concepts, prototyping app interfaces and user testing.
Duration: 7 Weeks weeks
Credit Hours: 3
The internship features supervised work in a professional graphic design setting. May be repeated for credit.
Duration: 7 Weeks weeks
Credit Hours: 3
This is an advanced project-based course for creating applications for Android and IOS devices. Students use their knowledge from previous courses to develop fully publishable applications within small teams. (students take twice)
Duration: 7 Weeks weeks
Credit Hours: 3
Course focuses on the creative workflow of iOS app development.
Duration: 7 Weeks weeks
Credit Hours: 3
This course focuses on issues of how human culture impacts the individuals behavior, attitudes, and mental health.

These courses must be taken to complete your degree.

Duration: 7 Weeks weeks
Credit Hours: 3
Future trends in machine learning and their impact on society through case studies/use cases.  Cross listed as ISBA 3023.
Duration: 7 Weeks 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.
Duration: 7 Weeks 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.
Duration: 7 Weeks 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.
Duration: 7 Weeks 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. Prerequisites/Corequisites: ISBA 3013.
Duration: 7 Weeks 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. 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.

You 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.

First-year course (3 hours)
UC 1013

Departmental (3 hours)
COMS 1203

Communication Requirement (6 hours)
ENG 1003
ENG 1013

Mathematics Requirement (3 hours)
Students must take MATH 1023 or any MATH course that requires MATH 1023 as prerequisite.

Arts and Humanities Requirement (6 hours) 

6 hours must be from ART 2503, MUSC 2503 or THEA 2503.
ENG 2003
ENG 2013

Social Sciences Requirement (9 hours) 

Students must take MDIA 1003, PSY 2013 and POSC 2103.

Life Science Requirement (4 hours)
Students must complete BIO 1003 with BIO 1001 lab.

Physical Sciences Requirement (4 hours)
Students must complete CHEM 1043 with CHEM 1041 lab.

Duration: 7 Weeks weeks
Credit Hours: 3
Introduction to visual art for all students regardless of background or experience. Students learn how to develop cognitive and experiential responses to works of art. This course is for non-art majors and does not meet general education requirements for any degree in Art. Fall, Spring, Summer.
Duration: 7 Weeks 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.
Duration: 7 Weeks 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.
Duration: 7 Weeks weeks
Credit Hours: 1
Special course fees apply. Prerequisite or co-requisite of CHEM 1043. Fall only.
Duration: 7 Weeks weeks
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 only.
Duration: 7 Weeks weeks
Credit Hours: 3
The theory and practice of communication in interpersonal, small groups, and public speaking contexts, emphasizing proficiency in message organization, delivery, and critical thinking.
Duration: 7 Weeks 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.
Duration: 7 Weeks 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.
Duration: 7 Weeks weeks
Credit Hours: 3
Introduction to the analysis and interpretation of literary works from several historical periods ranging from early civilizations through the Renaissance.
Duration: 7 Weeks weeks
Credit Hours: 3
Introduction to the analysis and interpretation of literary works from several historical periods ranging from the Renaissance to the present.
Duration: 7 Weeks 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.
Duration: 7 Weeks weeks
Credit Hours: 3
A study of the interaction between society and mass communication through the lenses of history, theory, economics, culture, law, and technology.
Duration: 7 Weeks weeks
Credit Hours: 3
This course is an introduction to music for the listener who has had no formal training or experience. By exploring the history of Western Art music, learners will begin to connect the development of music with the changing of society and culture.
Duration: 7 Weeks weeks
Credit Hours: 3
American politics. The constitution, government, and politics of the United States.
Duration: 7 Weeks weeks
Credit Hours: 3
Study of the important scientific, principles of individual human behavior from biological, cognitive, social, and behavioral perspectives.
Duration: 7 Weeks weeks
Credit Hours: 3
Human society and social behavior.
Duration: 7 Weeks weeks
Credit Hours: 3
Provides students with an appreciation of how various artistic elements combine to produce theatrical productions. Fall, Spring, Summer.

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