NC

Bachelor's in AI
On-Campus

Duke University

BS in Computer Science – Artificial Intelligence and Machine Learning

  • Durham
About This Program

This undergraduate degree track integrates rigorous computer science training with a deep dive into the mechanisms of artificial intelligence and its practical implementations.

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What You'll Learn

Students gain proficiency in designing and evaluating machine learning models, understanding probabilistic reasoning, and implementing intelligent software solutions for complex data analysis tasks.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes prerequisite mathematics and introductory computing courses followed by a specialized concentration requirement focusing on machine learning, deep learning, and algorithmic foundations.
Typical Course Topics
1. Introduction to Artificial Intelligence 2. Machine Learning 3. Deep Learning and Neural Networks 4. Data Structures and Algorithms for AI 5. Natural Language Processing 6. Computer Vision
Program Specializations:
Generative AI and LLMs
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
High school diploma or equivalent with a strong background in mathematics and science is required, typically including a minimum GPA of 3.5 and SAT/ACT scores (optional at many institutions).
Academic Requirements (Typical)

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.0+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Optional
• Transcripts: Official transcripts required

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

Begin 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/ML Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. Software Engineer (AI/ML)
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, Meta, and tech firms specializing in AI applications.
Explore AI Career Paths
Program Details
Duration
  • 4 Year
Tuition
  • 281,060
Format
On-Campus
Specializations
Generative AI and LLMs
Computer Vision
Official Resources
Program Website
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