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.

⭐ Student Reviews

No reviews yet. Be the first to share your experience!

What You'll Learn
  • Advanced algorithm design and analysis for efficient computational problem-solving.
  • Development and optimization of operating systems and distributed systems.
  • Machine learning models and deep learning techniques for data-driven applications.
  • Database management and network architecture for scalable software systems.
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Computer Science is a 30-credit graduate program typically completed in 1.5–2 years, emphasizing advanced topics in algorithms, systems, machine learning, and software engineering.
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%
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
Request Information