PhD in Computational Science and Engineering - Artificial Intelligence and Machine Learning in Atlanta United States | Georgia Institute of Technology

Georgia Institute of Technology | Atlanta United States
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Qualification
Doctor of Philosophy
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
USD 29,140
Attendance
Full-time
Full-time Duration
36 months

Artificial intelligence (AI) involves creating systems that exhibit human-like intelligence. Machine learning (ML), a branch of AI, concentrates on designing algorithms that automatically improve through experience without direct programming intervention.

This field investigates methods for developing predictive models and making decisions based on data patterns. As a fast-growing computer science discipline, most CSE researchers integrate ML techniques into their work.

CSE's AI/ML research encompasses core areas like deep neural networks, statistical modeling, big data analysis, adaptive learning systems, and AI applications in scientific fields. The department pursues diverse implementations, from conventional tasks like speech and image processing to innovative applications such as pandemic prediction, medical diagnostics, cybersecurity, material science, ethical AI development, social problem-solving frameworks, and modeling complex system behaviors.


Destination of Study

Subjects of Study

Language Requirements

English
IELTS 7.0

Qualification Requirements

Most students entering the CSE graduate degree programs will have obtained a bachelors degree in a technical field, e.g., computer science, mathematics, or a science or engineering discipline. IELTS - 7 (minimum band score for Reading, Listening, and Speaking is 6.5, minimum band score for Writing is 5.5), TOEFL iBT - 90 (each section must score 19 or higher), TOEFL PBT - 577.

Tuition USD 29,140

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