Overview
The field of machine learning crosses a wide variety of disciplines that use data to find patterns in the ways both living systems, such as the human body and artificial systems, such as robots, are constructed and perform.
Whether it’s being applied to analyze and learn from medical data, or to model financial markets, or to create autonomous vehicles, machine learning builds and learns from both algorithm and theory to understand the world around us and create the tools we need and want.
About the program
Machine learning aims to produce machines that can learn from their experiences and make predictions based on those experiences and other data they have analyzed.
The Machine Learning Center at Georgia Institute of Technology is an Interdisciplinary Research Center that is both a home for thought leaders and practitioners and a training ground for the next generation of pioneers.
Programme Structure
Areas of research include:- Computer Vision
- Natural Language Processing
- Robotics
- Deep Learning
- Game Theory
- Neuro Computing
- Ethics and Fairness
- Artificial Intelligence
- Internet of Things
- Machine Learning Theory
- Systems for Machine Learning
- Computational Finance
- Information Security
- Logistics and Manufacturing
Key information
Duration
- Full-time
- 84 months
Start dates & application deadlines
- Starting
- Apply before
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Language
IELTS & PTE Test Preparation
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- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
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Credits
Delivered
Campus Location
- Atlanta, United States
Disciplines
Machine Learning View 13 other PhDs in Machine Learning in United StatesWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
- Applicants must meet all admissions standards (including requirements on the minimum GPA, minimum GRE/TOEFL scores) of the home unit, which may vary. After an initial review, the unit’s representative of the ML Ph.D. Faculty Advisory Committee (FAC) will submit their candidates for review and the final admission decision will be made by the ML FAC.
- The committee’s decision to admit will be based on (1) prior academic performance of the applicant in a B.S. or M.S. program at a recognized institution, including coursework and independent research projects, (2) prior work experience relevant to ML, (3) the applicant’s statement of purpose, and (4) the letters of support.
Tuition Fees
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International Applies to you
Applies to youNon-residents7880 USD / year≈ 7880 USD / year - Out-of-State7662 USD / year≈ 7662 USD / year
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Domestic
Applies to youIn-State3468 USD / year≈ 3468 USD / year
Living costs
Atlanta
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Machine Learning.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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