Duke University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: High school diploma or equivalent with a strong GPA in math and science courses is required; SAT/ACT scores are optional but recommended for competitive applicants with backgrounds in programming or calculus.

About This Program

This Bachelor of Science degree provides a comprehensive foundation in computer science with a specialized concentration in artificial intelligence and machine learning, emphasizing both theoretical and applied aspects of the field.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. Software Engineer (AI focus)

What You'll Learn

• Fundamental algorithms and data structures for AI applications
• Supervised and unsupervised machine learning techniques
• Design and training of neural networks for deep learning
• Processing and analysis of natural language and visual data

Curriculum Highlights

The curriculum features a core computer science sequence followed by a five-course concentration in AI/ML, including topics like deep learning, computer vision, and natural language processing.

Top Employers

Top employers include Google, Microsoft, Amazon, Meta, and tech firms like NVIDIA and OpenAI.

Admissions

High school diploma or equivalent with a strong GPA in math and science courses is required; SAT/ACT scores are optional but recommended for competitive applicants with backgrounds in programming or calculus.

Application Materials

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

Academic Requirements

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