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 or ACT scores are optional but recommended for competitive applicants.

About This Program

This program offers a specialized pathway within the Computer Science major, focusing on the development and application of intelligent systems and data-driven algorithms.

Career Outcomes

Start Machine Learning 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 AI algorithms and search techniques
• Supervised and unsupervised machine learning models
• Neural networks and deep learning architectures
• Data processing for AI applications like NLP and computer vision

Curriculum Highlights

The structure consists of core computer science requirements, foundational mathematics, and a series of technical electives chosen from a curated list of artificial intelligence and machine learning courses.

Top Employers

Top employers include Google, Microsoft, Amazon, and Meta.

Admissions

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

Application Materials

• Statement of Purpose: Optional
• Letters of Recommendation: 1–2
• Resume: Optional
• Transcripts: Official high school transcripts required

Academic Requirements

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