GA

PhD in AI
On-Campus

Georgia Institute of Technology

PhD in Algorithms, Combinatorics & Optimization

  • Atlanta
About This Program

A multidisciplinary doctoral program focused on the study of discrete structures and the design and analysis of algorithms for complex systems.

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What You'll Learn

Candidates conduct original research in combinatorial optimization, graph theory, and computational complexity, bridging mathematics, computer science, and operations research.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Core requirements include advanced studies in abstract algebra, graph theory, and linear inequalities, followed by a qualifying examination and doctoral dissertation defense.
Typical Course Topics
1. Advanced Combinatorial Optimization 2. Graph Algorithms and Theory 3. Integer Programming 4. Approximation Algorithms 5. Convex Optimization 6. Probabilistic Methods in Combinatorics
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A master's degree in mathematics, computer science, or a related field is preferred, along with a strong GPA (3.5+), research experience, and relevant coursework in algorithms or optimization. GRE scores are often optional but strong letters of recommendation and a research statement are essential.
Academic Requirements (Typical)

• Degree Required: Bachelor’s or Master’s in related field
• 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.

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Career Opportunities in AI

Pursue advanced AI Research Scientist in Engineering AI through algorithm development

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
Operations Research Analyst: $95,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Research Scientist 2. Algorithm Developer 3. Optimization Specialist 4. Professor
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Microsoft, and Amazon, as well as research institutions and national labs.
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Program Details
Duration
  • 5 Year
Tuition
  • 30,024
Format
On-Campus
Specializations
Official Resources
Program Website
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