18 monthsProgramme duration
67,144 SGDTuition Fee/year
Jan, AugStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MComp
Study Level
Masters
Study Mode
On Campus
The Master of Computing (MComp) programme is a comprehensive and challenging graduate programme with specialised courses that include the latest research findings in both applied and fundamental computing fields. It provides advanced and in-depth knowledge of IT to prepare the students for challenges in IT career.
Artificial Intelligence (AI) is increasingly recognised as an important source of economic growth nationally and globally, leading to growing demand for AI-focused education and training for careers in industry as well as research. The Master of Computing in Artificial Intelligence (MComp in AI) programme aims to meet this need by providing systematic breadth-and-depth training in advanced principles, algorithms, and applications in AI. It focuses on the computational fundamentals and principles that underlie intelligent systems (knowledge representations, machine learning, and reasoning), as well as state-of-the-art technologies in major AI application domains (vision, speech & language processing, data analytics, and robotics).
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MComp
Study Level
Masters
Study Mode
On Campus
The Master of Computing (MComp) programme is a comprehensive and challenging graduate programme with specialised courses that include the latest research findings in both applied and fundamental computing fields. It provides advanced and in-depth knowledge of IT to prepare the students for challenges in IT career.
Artificial Intelligence (AI) is increasingly recognised as an important source of economic growth nationally and globally, leading to growing demand for AI-focused education and training for careers in industry as well as research. The Master of Computing in Artificial Intelligence (MComp in AI) programme aims to meet this need by providing systematic breadth-and-depth training in advanced principles, algorithms, and applications in AI. It focuses on the computational fundamentals and principles that underlie intelligent systems (knowledge representations, machine learning, and reasoning), as well as state-of-the-art technologies in major AI application domains (vision, speech & language processing, data analytics, and robotics).
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