Machine Learning
Stephanie Niebuhr
Georgia Institute of Technology
801 Atlantic Drive
Atlanta, GA 30332-0405
PhD, Machine Learning
Our world-class faculty and students specialize in areas including, but not limited to:
- 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
- Bioinformatics
- Computational Finance
- Health Systems
- Information Security
- Logistics and Manufacturing
The Machine Learning Ph.D. is an interdisciplinary doctoral program spanning three colleges (Computing, Engineering, Sciences). Students are admitted through one of eight participating home schools:
- Computer Science (Computing)
- Computational Science and Engineering (Computing)
- Interactive Computing (Computing)– see Computer Science
- Aerospace Engineering (Engineering)
- Biomedical Engineering (Engineering)
- Electrical and Computer Engineering (Engineering)
- Mathematics (Sciences)
- Industrial Systems Engineering (Engineering)
Admission to the ML PhD program is contingent on meeting the requirement for admission into one of these schools. It is possible that, due to space or other constraints, that you are admitted to the general PhD program in your home school but not the ML PhD program.
The ML PhD program is a cohesive, interdisciplinary course of study subject to a unique set of curriculum requirements; see the program webpage for more information.
IELTS Requirements
- Varies among home units.
TOEFL Requirements
- Varies among home units.
GRE Requirements
- Varies among home units.
Please note that application requirements may vary by home unit, including the application deadlines and test score requirements, as well as support for incoming students (including guarantees of teaching assistantships and/or fellowships). Please review the home unit links above or contact them directly for details.
