Master of Science in Artificial Intelligence - Computer Vision
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 develops advanced expertise in AI through rigorous coursework and independent research, providing strong foundations in artificial intelligence and machine learning while enabling specialized depth in Computer Vision, Machine Learning, and Natural Language Processing.
The Computer Vision Concentration prepares students to develop intelligent systems that perceive, understand, and reason about the visual world. Students build foundations in image formation and processing, visual representation and recognition, object detection and segmentation, and 3D vision and geometric reasoning, supported by machine learning and deep learning. Specialized courses provide opportunities to explore deep learning for visual computing, image synthesis, point-cloud processing, 3D vision, and emerging topics in visual recognition, alongside areas such as healthcare, embodied AI, remote sensing, robotics, and trustworthy AI.
Through advanced coursework, practical experimentation, and independent research, students learn to critically analyze existing approaches and design and evaluate modern computer vision methods. Research opportunities span robotics and autonomous systems, healthcare and medical imaging, biometrics, remote sensing and climate applications, and augmented and virtual reality. Graduates are prepared for research and innovation in industry and academia, as well as further doctoral study in computer vision and related areas.
The Computer Vision Concentration prepares students to develop intelligent systems that perceive, understand, and reason about the visual world. Students build foundations in image formation and processing, visual representation and recognition, object detection and segmentation, and 3D vision and geometric reasoning, supported by machine learning and deep learning. Specialized courses provide opportunities to explore deep learning for visual computing, image synthesis, point-cloud processing, 3D vision, and emerging topics in visual recognition, alongside areas such as healthcare, embodied AI, remote sensing, robotics, and trustworthy AI.
Through advanced coursework, practical experimentation, and independent research, students learn to critically analyze existing approaches and design and evaluate modern computer vision methods. Research opportunities span robotics and autonomous systems, healthcare and medical imaging, biometrics, remote sensing and climate applications, and augmented and virtual reality. Graduates are prepared for research and innovation in industry and academia, as well as further doctoral study in computer vision and related areas.
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 develops advanced expertise in AI through rigorous coursework and independent research, providing strong foundations in artificial intelligence and machine learning while enabling specialized depth in Computer Vision, Machine Learning, and Natural Language Processing.
The Computer Vision Concentration prepares students to develop intelligent systems that perceive, understand, and reason about the visual world. Students build foundations in image formation and processing, visual representation and recognition, object detection and segmentation, and 3D vision and geometric reasoning, supported by machine learning and deep learning. Specialized courses provide opportunities to explore deep learning for visual computing, image synthesis, point-cloud processing, 3D vision, and emerging topics in visual recognition, alongside areas such as healthcare, embodied AI, remote sensing, robotics, and trustworthy AI.
Through advanced coursework, practical experimentation, and independent research, students learn to critically analyze existing approaches and design and evaluate modern computer vision methods. Research opportunities span robotics and autonomous systems, healthcare and medical imaging, biometrics, remote sensing and climate applications, and augmented and virtual reality. Graduates are prepared for research and innovation in industry and academia, as well as further doctoral study in computer vision and related areas.
The Computer Vision Concentration prepares students to develop intelligent systems that perceive, understand, and reason about the visual world. Students build foundations in image formation and processing, visual representation and recognition, object detection and segmentation, and 3D vision and geometric reasoning, supported by machine learning and deep learning. Specialized courses provide opportunities to explore deep learning for visual computing, image synthesis, point-cloud processing, 3D vision, and emerging topics in visual recognition, alongside areas such as healthcare, embodied AI, remote sensing, robotics, and trustworthy AI.
Through advanced coursework, practical experimentation, and independent research, students learn to critically analyze existing approaches and design and evaluate modern computer vision methods. Research opportunities span robotics and autonomous systems, healthcare and medical imaging, biometrics, remote sensing and climate applications, and augmented and virtual reality. Graduates are prepared for research and innovation in industry and academia, as well as further doctoral study in computer vision and related areas.
Admission Requirements
24 Months
Aug
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