Georgia Institute of Technology

How this program compares

Georgia Institute of Technology's PhD in Machine Learning lists about $25.2K total tuition — roughly 71% below the $87.2K AI doctoral average (8th percentile in our data). It runs on a full-time schedule (on-campus).

Admission Snapshot

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. Most students complete it in about 5 years.

It is one of 26 AI-related programs we track in Georgia, of which about 69% offer an online option. On price, it comes in higher than about 77% of the Georgia programs in our data, where typical tuition runs near $36.8K.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $160,000.

Design and implement advanced machine learning algorithms for complex, real-world problems.

Budget planners should note $25.2K estimated total tuition (8th percentile among AI doctoral programs, below the $87.2K average). That makes it one of the more affordable options for students weighing return on investment.

Career Outcomes

The PhD in Machine Learning at Georgia Institute of Technology (Atlanta, Georgia) is oriented toward AI Research Scientist hiring, with alumni reporting pay near $160,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Georgia Institute of Technology's PhD in Machine Learning generally expects a phd (doctor of philosophy). Plan for the GRE, which this program lists as required. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions