University of Tennessee, Knoxville

How this program compares

At an estimated $60.2K in total tuition, the BS in Applied Artificial Intelligence sits roughly 33% below the $89.8K average for AI bachelor's programs in our database — placing it in the 51st percentile on cost among the 186 we track at this level. 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 equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores optional for most applicants.[1

About This Program

This undergraduate major provides a transdisciplinary foundation in AI, teaching students to build and deploy intelligent systems to solve real-world problems. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 4 years.

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

Develop AI models using machine learning and deep learning techniques.

At roughly $60.2K total, University of Tennessee, Knoxville's BS in Applied Artificial Intelligence sits below the $89.8K average among AI bachelor's programs we track — the 51st percentile on price. That puts it in the mid-range on price among comparable programs.

It is one of 12 AI-related programs we track in Tennessee, of which about 42% offer an online option. On price, it comes in higher than about 67% of the Tennessee programs in our data, where typical tuition runs near $45.1K.

Career Outcomes

University of Tennessee, Knoxville positions this bachelor track for Data Scientist careers — typical offers cluster around $120,000. Its focus on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI maps directly to how employers in business 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 Engineer
• 2. Machine Learning Developer
• 3. Data Scientist
• 4. AI Applications Specialist

What You'll Learn

• Develop AI models using machine learning and deep learning techniques.
• Apply programming and data structures to build AI software solutions.
• Design ethical AI systems considering fairness and human interaction.
• Analyze data for AI applications in industry domains.
• Implement natural language processing for real-world AI projects.

Curriculum Highlights

The structure includes 120 credit hours with courses in natural language processing, human-AI interaction, data visualization, and a transdisciplinary capstone project.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and IBM, as well as research labs and industry firms applying AI solutions.

Admissions

Admission to University of Tennessee, Knoxville's BS in Applied Artificial Intelligence generally expects a high school diploma. 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