Doctor of Philosophy in Artificial Intelligence - Machine Learning
48 monthsProgramme duration
AugStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PhD
Study Mode
On Campus
The Doctor of Philosophy in Artificial Intelligence prepares future research leaders to advance the frontiers of AI through original, independent research. Combining rigorous doctoral training with a flexible curriculum, the program enables students to pursue groundbreaking work across artificial intelligence while offering specialization opportunities in Computer Vision, Machine Learning, and Natural Language Processing. Graduates are equipped to shape the future of AI in academia, industry, and government.
The goal of the Machine Learning Concentration is to produce highly trained researchers for industry and academia. The program prepares students to apply the research techniques and knowledge they have gained to solve complex problems in the field of machine learning and artificial intelligence (AI).
Machine learning is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead. These algorithms are based on mathematical models learned automatically from data, thus allowing machines to intelligently interpret and analyze input data to derive useful knowledge and arrive at important conclusions. Machine learning is heavily used for enterprise applications (e.g., business intelligence and analytics), effective web search, robotics, smart cities, and understanding of the human genome.
The goal of the Machine Learning Concentration is to produce highly trained researchers for industry and academia. The program prepares students to apply the research techniques and knowledge they have gained to solve complex problems in the field of machine learning and artificial intelligence (AI).
Machine learning is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead. These algorithms are based on mathematical models learned automatically from data, thus allowing machines to intelligently interpret and analyze input data to derive useful knowledge and arrive at important conclusions. Machine learning is heavily used for enterprise applications (e.g., business intelligence and analytics), effective web search, robotics, smart cities, and understanding of the human genome.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PhD
Study Mode
On Campus
The Doctor of Philosophy in Artificial Intelligence prepares future research leaders to advance the frontiers of AI through original, independent research. Combining rigorous doctoral training with a flexible curriculum, the program enables students to pursue groundbreaking work across artificial intelligence while offering specialization opportunities in Computer Vision, Machine Learning, and Natural Language Processing. Graduates are equipped to shape the future of AI in academia, industry, and government.
The goal of the Machine Learning Concentration is to produce highly trained researchers for industry and academia. The program prepares students to apply the research techniques and knowledge they have gained to solve complex problems in the field of machine learning and artificial intelligence (AI).
Machine learning is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead. These algorithms are based on mathematical models learned automatically from data, thus allowing machines to intelligently interpret and analyze input data to derive useful knowledge and arrive at important conclusions. Machine learning is heavily used for enterprise applications (e.g., business intelligence and analytics), effective web search, robotics, smart cities, and understanding of the human genome.
The goal of the Machine Learning Concentration is to produce highly trained researchers for industry and academia. The program prepares students to apply the research techniques and knowledge they have gained to solve complex problems in the field of machine learning and artificial intelligence (AI).
Machine learning is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead. These algorithms are based on mathematical models learned automatically from data, thus allowing machines to intelligently interpret and analyze input data to derive useful knowledge and arrive at important conclusions. Machine learning is heavily used for enterprise applications (e.g., business intelligence and analytics), effective web search, robotics, smart cities, and understanding of the human genome.
Admission Requirements
48 Months
Aug
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