Embark on a transformative academic journey with a PhD in Machine Learning at the Georgia Institute of Technology, an interdisciplinary doctoral program designed to propel you to the forefront of artificial intelligence. Spanning across three prestigious colleges – Computing, Engineering, and Sciences – this rigorous program is your gateway to becoming a leader in the rapidly evolving field of machine learning.
Program Overview
The Machine Learning PhD program at Georgia Tech distinguishes itself through its interdisciplinary nature, fostering collaboration and innovation across diverse fields. Students are admitted through one of nine participating home schools, each offering a unique perspective and specialization within machine learning. These home schools include:
- Aerospace Engineering
- Biomedical Engineering
- Chemical and Biomolecular Engineering
- Civil and Environmental Engineering
- Electrical and Computer Engineering
- Industrial and Systems Engineering
- Materials Science and Engineering
- Mechanical Engineering
- Physics
This structure allows students to tailor their PhD experience, leveraging the strengths of their chosen home school while benefiting from the broad resources of the overall Machine Learning program.
Application Process and Requirements
Prospective students applying for the PhD in Machine Learning at Georgia Tech should be aware that application requirements and deadlines are aligned with the home school they are applying through. For instance, applicants choosing Electrical and Computer Engineering (ECE) as their home unit will adhere to the PhD ECE application guidelines and deadlines.
Important Application Note: Georgia Tech exclusively accepts external applications for the Fall semester intake each year. Deadlines vary by home school, commencing as early as December 1st, with the majority concluding by December 15th. It is crucial to consult the specific home school for precise deadline information.
Click here for application information and to apply
Admission to the program is competitive and based on a holistic review process. Applicants must satisfy the general admission standards of their chosen home unit, encompassing minimum GPA and, if required by the home unit, GRE/TOEFL scores. Following an initial evaluation by the home unit, selected candidates are forwarded to the Machine Learning PhD Faculty Advisory Committee (FAC) for final admission decisions.
The FAC’s decision is based on a comprehensive assessment of the applicant’s profile, considering:
- Academic Excellence: Prior academic performance in Bachelor’s and Master’s programs from recognized institutions, encompassing coursework and independent research endeavors.
- Relevant Experience: Work experience directly related to machine learning, demonstrating practical application and understanding.
- Statement of Purpose: A compelling statement outlining research interests, career goals, and alignment with the Georgia Tech Machine Learning program.
- Letters of Recommendation: Strong letters of support from academic or professional references who can attest to the applicant’s potential for doctoral-level research.
It is imperative to note that application requirements, including deadlines, test score prerequisites, and financial support opportunities (such as teaching assistantships and fellowships), are determined by the respective home units. Thoroughly review the home unit’s website or contact them directly for detailed information.
Contact and Further Information
Navigating the application process can raise questions. For inquiries specific to:
- Application deadlines
- Application fee waivers
- Assistantship/fellowship opportunities
- Program fit and research interests
- Advisor matching
- GRE requirements (many units have made the GRE optional)
- TOEFL minimum requirements and waivers (determined by the GT Graduate Education Office: https://grad.gatech.edu/english-proficiency, noting home units may have higher requirements)
- Statement of Purpose and Recommendation Letter content
Please directly contact the relevant home units.
For technical application support concerning:
- Account creation and login issues
- Password recovery
- Document uploads
- Recommender email difficulties
- Accessing application status information
- Touchnet payment system issues
Reach out to [email protected].
For general questions about the curriculum or program requirements, consult the FAQs or email [email protected].
Information for Georgia Tech Transfer Students
Current PhD students within the nine participating Georgia Tech schools interested in specializing in Machine Learning can apply to transfer into the ML PhD program. Transfer students will adhere to the standard ML curriculum and qualifying requirements and this pathway is best suited for students in their early doctoral studies (first or second year).
Crucially, transfer applicants must secure a Machine Learning PhD Program thesis advisor from the ML PhD Program faculty who is willing to provide research assistantship support. For comprehensive details, please contact [email protected].
The PhD in Machine Learning at Georgia Institute of Technology is more than just a degree; it’s a launchpad for your future in AI innovation. Apply today and become part of a community shaping the future of technology.
