GA

PhD in AI
On-Campus

Georgia Institute of Technology

PhD in Machine Learning

  • Atlanta
About This Program

A research-intensive PhD program that prepares students to innovate and advance the field of machine learning through rigorous mathematical and computational study.

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What You'll Learn

Students gain expertise in probabilistic modeling, optimization, and statistical methods, contributing new knowledge to areas like computer vision and natural language processing.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Includes a foundational core in mathematical methods, specialized area electives, a research proposal, and the completion of an original doctoral dissertation.
Typical Course Topics
1. Advanced Machine Learning Theory 2. Deep Learning and Neural Networks 3. Reinforcement Learning 4. Natural Language Processing 5. Statistical Machine Learning and Bayesian Methods 6. Machine Learning Systems and Optimization
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree (preferably in computer science, mathematics, or related field) with a strong GPA (3.5+) and demonstrated research interest or experience. A master's degree in a related field is preferred but not always required.
Academic Requirements (Typical)

• Degree Required: PhD (Doctor of Philosophy)
• GRE: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required
• Research Statement or Portfolio: Often 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

Command advanced AI Research Scientist in Cross-Industry AI through machine learning

Estimated Industry Salary
Machine Learning Researcher/PhD Graduate: $140,000 AI Research Scientist: $155,000 Senior Machine Learning Engineer: $160,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Research Scientist 2. AI Research Engineer 3. Autonomous Systems Developer 4. Academic Researcher/Faculty
Top AI Employers (Industry-Wide):
Top employers include Google DeepMind, Meta AI Research, OpenAI, Carnegie Mellon, Stanford, MIT, and major tech companies like Microsoft Research, Apple, and IBM Research.
Explore AI Career Paths
Program Details
Duration
  • 5 Year
Tuition
  • 25,242
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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