Master of Science in Artificial Intelligence - Machine Learning
24 monthsProgramme duration
AugStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Master's
Study Mode
On Campus
The Master of Science in Artificial Intelligence has been designed to address the rapidly growing global demand for advanced expertise in AI and its subfields. With a balanced combination of taught coursework and independent research, the program aims to produce graduates who will contribute to cutting-edge research, industry innovation, and societal advancement. A unified program in Artificial Intelligence reflects the scientific convergence, shared methodologies, and interdisciplinary nature of modern Machine Learning, Computer Vision, and Natural Language Processing research, while preserving depth through optional concentrations and aligning education with contemporary research and industry practice.
The goals of the Machine Learning Concentration are to train specialists to:
- Analyze complex problems within the field of ML
- Take a scientific, innovative, ethical, and socially responsible approach to conducting and contributing to research
- Solve complex problems in the field.
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 learning automatically from data, thus allowing machines to intelligently interpret and analyze input data to derive useful knowledge and arrive at important conclusions. ML 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
MSc
Study Level
Master's
Study Mode
On Campus
The Master of Science in Artificial Intelligence has been designed to address the rapidly growing global demand for advanced expertise in AI and its subfields. With a balanced combination of taught coursework and independent research, the program aims to produce graduates who will contribute to cutting-edge research, industry innovation, and societal advancement. A unified program in Artificial Intelligence reflects the scientific convergence, shared methodologies, and interdisciplinary nature of modern Machine Learning, Computer Vision, and Natural Language Processing research, while preserving depth through optional concentrations and aligning education with contemporary research and industry practice.
The goals of the Machine Learning Concentration are to train specialists to:
- Analyze complex problems within the field of ML
- Take a scientific, innovative, ethical, and socially responsible approach to conducting and contributing to research
- Solve complex problems in the field.
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 learning automatically from data, thus allowing machines to intelligently interpret and analyze input data to derive useful knowledge and arrive at important conclusions. ML 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
Scholarships
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