The University of Arizona

How this program compares

Budget-wise, $60.8K puts this bachelor's program at the 52nd percentile on cost — roughly 32% below the $89.8K average across 186 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: This bachelor's completion program requires an associate degree or equivalent transfer credits, a minimum high school GPA or college GPA of 2.5–3.0, and demonstrated proficiency in foundational computing or related coursework; SAT/ACT is optional.

About This Program

This program offers a practical approach to building computer-based systems with a focused specialization in intelligent computing. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 4 years.

Apply machine learning algorithms to real-world datasets and autonomous systems.

At roughly $60.8K total, The University of Arizona's BAS Applied Computing – Applied Artificial Intelligence Emphasis sits below the $89.8K average among AI bachelor's programs we track — the 52nd percentile on price. That puts it in the mid-range on price among comparable programs.

It is one of 15 AI-related programs we track in Arizona, of which about 67% offer an online option. On price, it comes in higher than about 53% of the Arizona programs in our data, where typical tuition runs near $53.3K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

The BAS Applied Computing – Applied Artificial Intelligence Emphasis at The University of Arizona (Tucson, Arizona) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $120,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Applications Developer
• 2. Machine Learning Engineer
• 3. Data Analytics Specialist
• 4. AI Ethics Consultant

What You'll Learn

• Apply machine learning algorithms to real-world datasets and autonomous systems.
• Design and deploy AI models with attention to ethics, bias mitigation, and fairness.
• Analyze and visualize complex data using AI tools for decision-making.
• Develop AI applications integrating human-AI interaction and industry domains.

Curriculum Highlights

The curriculum covers fundamental topics including machine learning, computer vision, robotics, natural language processing, and computing ethics.

Top Employers

Top employers include tech firms like Google, Microsoft, Amazon, and defense contractors with AI divisions.

Admissions

Admission to The University of Arizona's BAS Applied Computing – Applied Artificial Intelligence Emphasis generally expects a associate degree or 60+ transferable credits. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2 optional
• Resume: Optional
• Transcripts: Official transcripts required

Frequently Asked Questions