Bachelor of Science in Artificial Intelligence

The curriculum builds from a foundation of programming and computer science into the core areas of AI: machine learning, neural networks and deep learning, natural language processing, computer vision, and the data techniques that support them, with attention to AI ethics and responsible development. This is layered on a base of mathematics and computing fundamentals that support the understanding of how AI systems are built and evaluated.

Courses are delivered through CTU’s Virtual Classroom, giving students the flexibility to study when and where it works best for them. CTU’s intellipath® adaptive learning platform helps personalize the learning experience. The program is designed for students who are balancing coursework with careers and other personal commitments.

The program is designed to help students develop in-demand AI and machine learning knowledge without sacrificing flexibility. With tools like the Virtual Classroom and the CTU Mobile app, students can fit coursework around work and personal commitments.

Applicants must provide proof of high school graduation (a high school diploma and transcripts) or its equivalent, such as a GED. Documentation must be submitted to CTU before the first day of the second quarter or term in the program. No SAT or ACT scores are required, and there is no application fee. CTU admissions advisors are available to help guide you through each step.

CTU offers multiple start dates throughout the year. This bachelor’s degree program at CTU requires 183 credit hours and can typically be completed in about 48 months, though actual timelines vary based on course load, any transfer credits or prior learning accepted*. CTU Fast Track™ exams may allow students to earn credit for demonstrating what they already know and finish degree programs faster.** Use the Tuition & Graduation Calculator for a personalized estimate.

*Transfer credit is evaluated on an individual basis. Not all credits are eligible to transfer. See the University Catalog for transfer credit policies.

**The ability to reduce time in school and/or reduce tuition towards the full cost of a degree program depends on the number of CTU Fast Track™ exams successfully passed. Fast Track program credits are non-transferable. Not all programs are eligible for possible reduction in time and money. Courses eligible are subject to change. Students should not rely on potential Fast Track savings or eligibility when making an enrollment decision.

CTU offers a transfer-friendly policy that may accept eligible credits toward a bachelor’s degree program. Transfer credit is evaluated on an individual basis, and not all credits are eligible to transfer. For details on transfer policies, visit the Transfer Students page.

Tuition for this artificial intelligence degree program is charged per credit hour. The actual cost will depend on how many credits are completed at CTU, after the assessment of any eligible transfer credits,* scholarships, grants,** transfer credits, and CTU Fast Track™*** savings are applied. Use the Tuition & Graduation Calculator for a personalized estimate.

*Transfer credit is evaluated on an individual basis. Not all credits are eligible to transfer. See the University Catalog for transfer credit policies.

**University grants or scholarships are based on established criteria as published in the University Catalog or on its website and are awarded after verification that the conditions of eligibility have been met.

***The ability to reduce time in school and/or reduce tuition towards the full cost of a degree program depends on the number of CTU Fast Track™ exams successfully passed. Fast Track program credits are non-transferable. Not all programs are eligible for possible reduction in time and money. Courses eligible are subject to change. Students should not rely on potential Fast Track savings or eligibility when making an enrollment decision.

CTU participates in federal financial aid programs, meaning eligible students can apply for federal grants and loans through the FAFSA®. Institutional scholarships and need-based grants are also available to qualifying students. For a full overview of financing options, visit the CTU financial aid page.

There are several ways to help lower the total cost of a degree program. Transferring-in eligible credits* can reduce the number of credits needed to complete a degree program at CTU, and CTU Fast Track™ exams may allow students to earn credit for demonstrating their prior knowledge.** Military-affiliated students may qualify for Reduced Military Tuition Rates. Eligible students whose employers are CTU corporate alliance members may also apply for the Corporate Alliances Grant. Additional Grants & Scholarships are available for qualifying students.***

*Transfer credit is evaluated on an individual basis. Not all credits are eligible to transfer. See the University Catalog for transfer credit policies.

**The ability to reduce time in school and/or reduce tuition towards the full cost of a degree program depends on the number of CTU Fast Track™ exams successfully passed. Fast Track program credits are non-transferable. Not all programs are eligible for possible reduction in time and money. Courses eligible are subject to change. Students should not rely on potential Fast Track savings or eligibility when making an enrollment decision.

***University grants or scholarships are based on established criteria as published in the University's catalog and are awarded after verification that the conditions of eligibility have been met.

Yes, Colorado Technical University (CTU) is accredited by the Higher Learning Commission (hlcommission.org), an institutional accreditor recognized by the U.S. Department of Education.

Graduates of CTU’s online artificial intelligence program may choose to pursue roles that build and apply intelligent systems. Some potential career paths may include:*

• Computer and Information Research Scientists – Design innovative uses for new and existing computing technology, including AI and machine learning. The program’s foundation in algorithms, machine learning, and computing theory may align with these pathways.
• Software Developers, Quality Assurance Analysts, and Testers – Design, build, and test software, including applications that incorporate AI and machine learning. Coursework in programming and software development may support these roles.
• Data Scientists – Use analytical tools and techniques, including machine learning, to extract insights from data. The program’s emphasis on data science, modeling, and machine learning may relate to this work.

*CTU cannot guarantee employment, salary, or career advancement. The list of potential career paths related to this program is based on a subset from the Bureau of Labor Statistics, CIP to SOC Crosswalk. Some career paths listed above may require further education or job experience.

A general computer science degree centers broadly on programming, algorithms, and software development, while this program applies that foundation specifically to artificial intelligence: machine learning, neural networks, natural language processing, and computer vision. Compared to a data science concentration, which focuses on analyzing and drawing insight from data, the AI program emphasizes building the intelligent models and systems themselves, including how they learn, reason, and are deployed responsibly.