Duke University

How this program compares

Budget-wise, $280.5K puts this bachelor's program at the 97th percentile on cost — about 212% above the $89.8K average across 186 comparable listings. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: High school diploma or equivalent with strong performance in mathematics and science courses is required. Most programs recommend a minimum GPA of 3.5 and competitive standardized test scores (SAT/ACT); test scores are often optional for strong applicants with demonstrated coursework in computer science and mathematics.

About This Program

This proposed undergraduate concentration within the computer science major focuses on the foundational principles and engineering applications of artificial intelligence. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 4 years.

It is one of 31 AI-related programs we track in North Carolina, of which about 45% offer an online option. On price, it comes in higher than about 97% of the North Carolina programs in our data, where typical tuition runs near $69.0K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $118,000.

Design and implement machine learning models using supervised and unsupervised learning techniques.

Budget planners should note $280.5K estimated total tuition (97th percentile among AI bachelor's programs, above the $89.8K average). Applicants should weigh that premium against the program's outcomes and brand.

Career Outcomes

Graduates of Duke University's BS in Artificial Intelligence Engineering (Proposed) most often target Machine Learning Engineer roles, where reported compensation runs around $118,000. 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 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Engineer
• 3. Data Scientist
• 4. AI Product Manager

What You'll Learn

• Design and implement machine learning models using supervised and unsupervised learning techniques
• Develop deep learning systems for image recognition, natural language understanding, and autonomous decision-making
• Apply AI ethics frameworks to address bias, transparency, and responsible deployment of intelligent systems
• Translate AI research into practical engineering solutions for industry applications and product innovation

Top Employers

Top employers include Google, OpenAI, Microsoft, Tesla, Amazon, Meta, and NVIDIA, alongside consulting firms like McKinsey and Boston Consulting Group.

Admissions

Admission to Duke University's BS in Artificial Intelligence Engineering (Proposed) generally expects a bs (bachelor of science). 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

• Personal Statement: Recommended
• Letters of Recommendation: 2–3 (from teachers or academic advisors)
• Resume: Optional
• Official Transcripts: Required
• Standardized Test Scores: Optional (SAT/ACT)

Frequently Asked Questions