Bachelor of Applied Arts and Sciences (B.A.A.S.) Major in Artificial Intelligence Online

Build practical, real‑world AI skills by applying AI tools to workplace tasks and examine how they reshape work, productivity, and decision‑making in organizations.

Apply by: 8/5/26
Start class: 8/19/26
Apply Now

Program Overview

See how our online AI degree can set you up for future success

Acquire practical artificial intelligence skills you can apply in today’s evolving workplace. The online, STEM-designated Bachelor of Applied Arts and Sciences in Artificial Intelligence at Texas State University helps you build practical, real‑world AI skills you can apply in today’s evolving workplace, including how AI supports and transforms everyday workflows, productivity, and decision‑making across organizations. Students gain cutting‑edge skills and knowledge that are highly valued in the job market, earning credentials that enhance their employability and career prospects in AI‑impacted fields.

Through coursework focused on real-world application rather than technical theory, you’ll learn how to integrate AI into communication, reporting, and everyday workflows, apply foundational data concepts, and use AI-driven insights to support organizational goals. Along the way, you’ll also develop project management and leadership skills to help guide AI adoption and decision-making within organizations. This program features eight-week, 100% online courses designed for working professionals.

As part of the program, you’ll complete industry-recognized Coursera AI certificates—at no additional cost—and apply 24 credits toward your degree, giving you both academic knowledge and practical, job-ready credentials.

Tools and technologies you’ll work with:

  • Generative AI platforms used for content creation, communication, and task automation
  • Prompting techniques and frameworks to generate accurate, relevant, and useful outputs
  • AI-enabled productivity tools that support reporting, analysis, and workflow efficiency
  • Data and analytics tools used to interpret information and support AI-driven insights
  • Project management tools and frameworks to guide AI implementation and adoption
  • Ethical and governance frameworks for responsible AI use in organizations
Tools and technologies you’ll work with:
  • Generative AI platforms used for content creation, communication, and task automation
  • Prompting techniques and frameworks to generate accurate, relevant, and useful outputs
  • AI-enabled productivity tools that support reporting, analysis, and workflow efficiency
  • Data and analytics tools used to interpret information and support AI-driven insights
  • Project management tools and frameworks to guide AI implementation and adoption
  • Ethical and governance frameworks for responsible AI use in organizations

As a student in this online B.A.A.S. program, you will learn how to:

  • Use generative AI and prompting in professional settings
  • Apply AI responsibly, with a focus on ethics, privacy, and real-world implications
  • Interpret data and apply foundational analytics
  • Integrate AI tools into workflows and communication tasks
  • Support organizational decision-making using AI-enabled insights
  • Understand how AI is applied across industries and professional environments
  • Apply leadership and project management skills in AI-supported environments
As a student in this online B.A.A.S. program, you will learn how to:
  • Use generative AI and prompting in professional settings
  • Apply AI responsibly, with a focus on ethics, privacy, and real-world implications
  • Interpret data and apply foundational analytics
  • Integrate AI tools into workflows and communication tasks
  • Support organizational decision-making using AI-enabled insights
  • Understand how AI is applied across industries and professional environments
  • Apply leadership and project management skills in AI-supported environments

Career opportunities:

  • AI or Automation Specialist
  • Business Intelligence or Data Analyst
  • AI Governance or Compliance Analyst
  • Operations or Process Improvement Specialist
  • Project or Product Coordinator (AI-enabled environments)
Career opportunities:
  • AI or Automation Specialist
  • Business Intelligence or Data Analyst
  • AI Governance or Compliance Analyst
  • Operations or Process Improvement Specialist
  • Project or Product Coordinator (AI-enabled environments)

Also available:

We offer a variety of student-centered online degrees that can help you advance. Explore other B.A.A.S. programs.

Per credit hour $405*
Transfer Credits Up to 90**
Credit Hours 120
Apply Now

Need More Information?

Call 833.690.1245 today!

Call 833.690.1245 today!

Tuition

Learn more about the affordable tuition at Texas State University

Tuition for the online bachelor’s degree program in artificial intelligence is affordable and paid by the course, so you can achieve your academic goals while remaining within your budget.

View full tuition

Program Per Credit Hour Per Course
B.A.A.S. Artificial Intelligence $405* $1,216

*Students in Accelerated Online Programs are not eligible for payment plans or emergency loans. Tuition and fees are subject to change by legislative or Board of Regents action; changes become effective on the date of enactment. BookSmart fees are automatically added each semester but are not included in program costs; students may opt out by the start of each term. Registrations after the tuition deadline require full payment at registration. Cost of Attendance details are available through TXST One Stop.

Tuition breakdown

Per course $1,216
Per Credit Hour $405*

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.

**Texas State will apply to an undergraduate degree up to 72 semester credit hours from an accredited junior or community college. Students transferring more than 72 hours must consult with their academic advisor to determine how degree requirements will be satisfied.


0
90
Transfer Credits: 0
Your Estimated Tuition: $Your Estimated Tuition:
Apply Now

Transcripts sent from other colleges and universities will be evaluated, and accepted credits will be added to the student's Texas State record. The Tuition Estimator is not a guarantee or predictor of the number of credit hours that will be accepted.

Ready to take the next step
toward earning your degree?

Apply Now

Calendar

Keep these dates in mind for your online AI degree program

The Texas State B.A.A.S. in Artificial Intelligence program is delivered in a convenient online learning format that offers maximum flexibility for working adults like you. Choose the start date that fits your goals.

View Full Calendar +

TermStart DateApp DeadlineDocument DeadlineRegistration DeadlineTuition DeadlineClass End DateTerm Length
Fall 1 20268/19/268/5/268/12/268/19/268/13/2610/7/268 weeks
Fall 2 202610/8/269/24/2610/1/2610/8/2610/1/2612/10/268 weeks

Now Enrolling

Apply by 8/5/26
Start Class 8/19/26

Admissions

Steps to prepare for our artificial intelligence online program

Apply to the B.A.A.S. in Artificial Intelligence online program quickly and easily with our streamlined admission process. Review the admission requirements below and take the next step toward your professional goals.

View all admission requirements

To be eligible to earn your B.A.A.S. in Artificial Intelligence online from Texas State University, you must:

  • Submit a completed application and all supporting documents—including official transcripts from your high school and any postsecondary institutions attended—to the Office of Undergraduate Admissions by the stated document deadline
  • Pay the nonrefundable application fee of $75 ($90 for international students*)
  • Be eligible to re-enter all colleges and/or universities previously attended

High school graduates who plan to attend Texas State the semester after high school graduation (not including summer sessions), regardless of how many dual credit or transferable college credits earned, are considered an entering freshman.

Freshmen must do the following to qualify for admission to Texas State University:

  • Receive a diploma from an accredited high school
  • We recommend students complete the following curriculum:
  • 4 credits of English, 4 credits of mathematics, 4 credits of science, 3 credits of social studies and 2 credits of a language other than English
  • ACT and SAT test scores are not required for applicants ranked in the top 75% of their graduating class
  • Applicants who do not meet assured admission, or do not submit test scores, will be reviewed holistically. All students ranked in the fourth quartile of their class must submit scores that meet assured admission standards for admission
  • Submit your high school transcripts by mail or via Parchment, Naviance, National Student Clearinghouse

Transfer students must meet these requirements:

  • 14 or fewer credit hours: minimum 2.0 GPA in all transferable course work plus meet freshman admission standards
  • 15-29 credit hours: minimum 2.5 GPA in all transferable course work
  • 30 or more credit hours: minimum 2.25 GPA in all transferable course work
  • Be at least one full semester out of high school and eligible to return to all postsecondary institutions previously attended

For applicants without a U.S. bachelor’s degree or high school diploma (or equivalent)**:
You must submit an approved English proficiency exam score that meets the minimum program requirements.

  • Official TOEFL iBT scores required with a 78 overall and minimum individual module scores of
  • 19 listening
  • 19 reading
  • 19 speaking
  • 18 writing
  • Official PTE scores required with a 52 overall
  • Official IELTS (academic) scores required with a 6.5 overall and minimum individual module scores of 6.0
  • Official Duolingo scores required with a 110 overall
  • Official TOEFL Essentials scores required with an 8.5 overall

**Exemption: Applicants who have earned a high school diploma, bachelor’s degree or higher from a regionally accredited U.S. institution or an equivalent degree from a country on our exempt countries list are not required to submit an English proficiency exam score.

Transcripts may be sent electronically to [email protected] or mailed to:

TXST One Stop
Texas State University – Undergraduate Admissions
601 University Dr.
San Marcos, TX 78666

*Texas State defines an on-campus international student as anyone with a nonimmigrant visa status, including H-1B visa holders, or those seeking a visa to enroll. If you are not a U.S. citizen, permanent resident, refugee, or asylee, you will be classified as an international applicant.

An online international student is someone who holds citizenship in another country, is not a U.S. permanent resident, and resides outside the U.S. while enrolling in an online program.

Students who are not on a visa but are graduating from a Texas high school after three years in residence are considered domestic applicants.

If you are a U.S. citizen, permanent resident, refugee, or asylee, you are considered a domestic applicant.

Admission Requirements

  • High school diploma
  • Online application
  • Official transcripts from all institutions

Courses

Look ahead to the online courses for this artificial intelligence degree

To graduate from the Bachelor of Applied Arts and Sciences in Artificial Intelligence from Texas State, you must complete a total of 120 credit hours, including 42 credit hours of general education courses, 37 credit hours of B.A.A.S. core courses (includes 15 credit hours of AI- focused courses), 24 credit hours earned via Coursera certificates, and 17 credit hours of remaining credit hours selected in consultation with the student's advisor.

Expand All

Students must take 42 credit hours of general education courses to meet the degree plan requirements.

The B.A.A.S. in Artificial Intelligence major requires 37 credit hours of

Duration: 8 Weeks weeks
Credit Hours: 3
This is an independent study course that allows research on topics in occupational education related to a student’s interests. Work may include individual research, critical reviews or integration of existing bodies of knowledge. Course may be repeated for credit.
Duration: 8 Weeks weeks
Credit Hours: 3
Students in this course will apply critical and reflective thinking to develop an individualized plan consisting of interdisciplinary studies courses that meet their career goals. Students will also assess their needs for earning credits through prior learning assessment (PLA), and identify potential capstone projects aligned with their professional goals.
Duration: 8 Weeks weeks
Credit Hours: 3
This course introduces students to human development, learning theory, transition theory, interdisciplinary studies, career planning and assessment, and goal setting relevant to developing a professional growth plan. 
Duration: 8 Weeks weeks
Credit Hours: 3
This course surveys the great mental models, explores data types, and overviews basic analytical tools and models to make informed decisions. When problems arise, how do you confront them? How do you approach problems and make decisions? We form mental models all the time without knowing. But power comes when you consciously build a latticework of mental models and deliberately apply tools to make better decisions, solve problems and improve your outcomes.
Duration: 8 Weeks weeks
Credit Hours: 3
This is the first part of a two-part capstone devoted to the development of the student's supervised capstone project. Proposal development, review of literature, creation of timelines, and task analysis are stressed. Following instructor approval, work on the capstone project begins in this course. 
Duration: 8 Weeks weeks
Credit Hours: 3
This is the second part of a two-part capstone devoted to the development of the student's supervised capstone project. Application of knowledge, abilities, and skills acquired in the degree program is stressed. It requires extensive reports and documentation.
Duration: 8 Weeks weeks
Credit Hours: 3
This course prepares students to examine and apply principles of leadership to create their own applicable model of influencing others. Topics covered include leadership behavior, strategic thinking, managing energy, and getting results within an organization.
Duration: 8 Weeks weeks
Credit Hours: 3
This course offers tools, questions, reviews, guiding practices, and exercises that will help students build a roadmap to project management and leadership success. This course will help project managers at any level overcome some of the most common challenges they face by: effectively managing a demanding workload; leading and motivating a team; building effective relationships with senior stakeholders; managing risks, issues, and changes to scope; and delegating effectively.
Duration: 8 Weeks weeks
Credit Hours: 3
This course examines applications of Artificial Intelligence (AI) used to support organizational strategy, decision making, and operational effectiveness. Students study core AI technologies, review organizational use cases, and analyze how AI supported systems interact with leadership structures, workforce considerations, and institutional constraints. Emphasis is placed on understanding capabilities and limitations, evaluating AI tools in organizational settings, and examining ethical, legal, and governance considerations associated with adoption. The course situates AI as a subject of analysis rather than advocacy, encouraging critical examination of AI supported leadership and innovation across public and non profit contexts.
Duration: 8 Weeks weeks
Credit Hours: 3
This course is designed to provide students with an understanding of artificial intelligence (AI) concepts, methods, and applications relevant to organizational and workforce contexts. The course examines foundational and historical aspects of AI alongside contemporary uses of AI systems in professional environments. Emphasis is placed on analytical evaluation of AI technologies, enabling students to consider how such systems are designed, deployed, and assessed in relation to workplace processes and decision making. Students explore the potential roles AI may play in organizational operations, workforce effectiveness, and leadership practices, while also considering limitations and challenges. Through case studies and structured projects, the course provides opportunities for students to engage with real world AI applications and examine their use in workforce settings. Ethical, legal, and governance issues associated with AI adoption are examined as important considerations informing responsible organizational use.
Duration: 8 Weeks weeks
Credit Hours: 3
This course provides an overview of essential database concepts used in contemporary information systems. Students study relational databases, alternative data models, and the principles of structured data management. Course activities include developing entity relationship diagrams, applying normalization rules, and building database solutions using SQL statements. Attention is given to performance optimization, data integrity, and multi user access considerations. Through applied projects, students gain hands-on experience in constructing efficient and secure databases designed to address practical organizational requirements.
Duration: 8 Weeks weeks
Credit Hours: 3
This course introduces the mathematical and computational foundations of data science. Students study core concepts in statistics, probability, and linear algebra, which provide the basis for understanding data science literature, and analyzing the principles underlying algorithms and data-driven models. The course also introduces descriptive, predictive, and prescriptive analytics and demonstrates methods such as regression and clustering to support data analysis and interpretation. Emphasis is placed on foundational data science principles and on developing practical skills for working with diverse datasets.
Duration: 8 Weeks weeks
Credit Hours: 3
This course examines emerging trends and issues impacting today's workplace. Topics may include aging workforce, financial and mental wellness, and diversity.

The B.A.A.S. in Artifical Intelligence online program offers students 24 academic credits through Coursera certificate programs. These certificates will be assessed via Texas State’s PLA process (Prior Learning Assessment), via the OCED 4111 course, to their portfolio—including evidence of work experience and noncollegiate training (specifically Coursera certificates) assessed for college credit. TXST students can access Coursera through SSO login with their NetID credentials upon acceptance to the university. 

Students may select from the following Artificial Intelligence Certificates: 

  • IBM Applied Data Science Specialization
  • Mathematics for Machine Learning and Data Science
  • Machine Learning Specialization
  • Deep Learning Specialization
  • IBM AI Developer Professional Certificate
  • Microsoft ML Engineer
  • Responsible AI - Principles and Ethical Considerations
  • TensorFlow Developer Professional Certificate
  • Generative Adversarial Networks (GANs)
  • Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate
  • AWS Fundamentals
  • Natural Language Processing Specialization
  • AI for Good Specialization
  • IBM Data Engineering Professional Certificate

Selected in consultation with the student’s advisor. Students are required to complete US 1100 (1 credit hour) as part of these remaining credits, with additional hours fulfilled through transfer or other approved methods.

Request Information

Submit this form, and an Enrollment Specialist will contact you to answer your questions.

Begin Application Process

Start your application today!

Apply Now
Apply Now

Or call 833.690.1245 833.690.1245

for help with any questions you have.