NC

Bachelor's in AI
On-Campus

Duke University

BS in Artificial Intelligence Engineering (Proposed)

  • Durham
About This Program

This proposed undergraduate concentration within the computer science major focuses on the foundational principles and engineering applications of artificial intelligence.

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What You'll Learn

Students develop skills in computer science fundamentals while gaining specialized expertise in machine learning and AI core technologies.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Typical Course Topics
1. Machine Learning and Neural Networks 2. Deep Learning and Computer Vision 3. Natural Language Processing 4. AI Systems Design and Architecture 5. Reinforcement Learning 6. Ethics and Responsible AI Development
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• Degree Required: BS (Bachelor of Science)
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Enter Machine Learning Engineer career in Cross-Industry AI with machine learning focus

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI/Machine Learning Engineer: $125,000 Data Scientist: $110,000 AI Systems Architect: $135,000 Product Engineer (AI/ML): $118,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Engineer 3. Data Scientist 4. AI Product Manager
Top AI Employers (Industry-Wide):
Top employers include Google, OpenAI, Microsoft, Tesla, Amazon, Meta, and NVIDIA, alongside consulting firms like McKinsey and Boston Consulting Group.
Explore AI Career Paths
Program Details
Duration
  • 4 Year
Tuition
  • 280,530
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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