DoctoralOn-CampusFull-Time

Georgia Institute of Technology

PhD in Machine Learning

Atlanta, Georgia5 years$25K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $25.2K in total tuition, the PhD in Machine Learning sits roughly 70% below the $82.9K average for AI doctoral programs in our database β€” placing it in the 7th percentile on cost among the 42 we track at this level.

Est. Salary$140,000 AI Research Scientist
Job Growth+36%
Top RoleAI Research Scientist
FormatOn-Campus

Admission Snapshot

Degree Required
PhD (Doctor of Philosophy)
Duration
5 years
Est. Tuition
$25K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Machine Learning, AI Engineering / Applied AI

Typical admitted student: 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.

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. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 5 years.

Estimated total tuition is $25.2K, below the $82.9K average for AI doctoral programs in our database and in the 7th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Command advanced AI Research Scientist in Cross-Industry AI through machine learning Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $160,000.

Career Outcomes

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

  • 1. Machine Learning Research Scientist
  • 2. AI Research Engineer
  • 3. Autonomous Systems Developer
  • 4. Academic Researcher/Faculty

What You'll Learn

  • Design and implement advanced machine learning algorithms for complex, real-world problems
  • Conduct original research in machine learning theory, deep learning, or specialized applications
  • Evaluate algorithmic performance through rigorous mathematical analysis and empirical validation
  • Communicate research findings through academic publications and dissertation defense

Curriculum Highlights

Includes a foundational core in mathematical methods, specialized area electives, a research proposal, and the completion of an original doctoral dissertation.

Top Employers

Top employers include Google DeepMind, Meta AI Research, OpenAI, Carnegie Mellon, Stanford, MIT, and major tech companies like Microsoft Research, Apple, and IBM Research.

Admissions

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.

Application Materials

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

Academic Requirements

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

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