NC

Master's in AI
On-Campus

Duke University

MS in Computer Science

  • Durham
About This Program

This program provides a firm grounding in the theoretical foundations of computer science while offering training in current technologies and applications for research or industry careers.

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What You'll Learn

Students develop expertise in algorithms, computational complexity, and systems architecture, with the ability to specialize in high-demand areas through advanced coursework and elective choices.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 30-credit program offers both coursework-only and thesis/project options, requiring advanced courses in computer science and related fields, alongside a final oral examination milestone.
Typical Course Topics
1. Design and Analysis of Algorithms 2. Advanced Operating Systems 3. Machine Learning 4. Database Systems 5. Computer Networks 6. Deep Learning
Program Specializations:
Machine Learning
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science or related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in data structures, algorithms, and discrete mathematics.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• 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.

Check Application Deadlines
Career Opportunities in AI

Position as Machine Learning Engineer in Cross-Industry AI with algorithms expertise

Estimated Industry Salary
Software Engineer: $125,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Software Engineer 2. Machine Learning Engineer 3. Data Scientist 4. Systems Architect
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, Meta, and research institutions like IBM Research.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 67,724
Format
On-Campus
Specializations
Machine Learning
MLOps/AI Engineering
Official Resources
Program Website
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