The University of Arizona

How this program compares

The University of Arizona's Bachelor of Applied Science in Applied Computing – Applied AI lists about $63.6K total tuition — roughly 29% below the $89.8K AI bachelor's average (55th percentile in our data). It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: High school diploma or associate degree for transfer students with a minimum 3.0 GPA is required; SAT/ACT scores are optional, and math competency (e.g., algebra, calculus) plus laboratory science courses are recommended.

About This Program

This robust program equips students with technical expertise to innovate and lead in the rapidly evolving field of applied computing. Coursework concentrates on Computer Vision and AI Engineering / Applied AI. Most students complete it in about 4 years.

Graduates frequently move into roles such as Software Developer, with reported salaries around $120,000.

Develop and deploy machine learning models for real-world applications.

Estimated total tuition is $63.6K, below the $89.8K average for AI bachelor's programs in our database and in the 55th percentile on cost at this level. 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 60% of the Arizona programs in our data, where typical tuition runs near $53.3K.

Career Outcomes

Graduates of The University of Arizona's Bachelor of Applied Science in Applied Computing – Applied AI most often target Software Developer roles, where reported compensation runs around $120,000. Its focus on Computer Vision and AI Engineering / Applied AI maps directly to how employers in cybersecurity ai 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 Analyst (AI Focus)
• 4. AI Ethics Specialist

What You'll Learn

• Develop and deploy machine learning models for real-world applications.
• Analyze and visualize data using AI-driven analytics tools.
• Design ethical AI systems addressing bias and fairness.
• Build software solutions integrating AI and computing technologies.

Curriculum Highlights

The structure covers programming foundations, data analysis, discrete structures, and applied AI coursework across various industry applications.

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 Bachelor of Applied Science in Applied Computing – Applied AI generally expects a high school diploma or associate degree. 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: 2–3
• Resume: Optional
• Transcripts: Official transcripts required

Frequently Asked Questions