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關於課程
The Master of Applied Science (MASc) program offers opportunities for advanced research in the areas of Mechanical Engineering, Biological Engineering, Computer Engineering, Environmental Engineering, Engineering Systems and Computing, and Water Resources Engineering. The MASc program is research thesis based and is available in full-time as well as part-time studies. The program provides advanced training in the engineering sciences and research methodology through a combination of course work, applied research, and thesis writing.
Students interested in Artificial Intelligence (AI) related research and Thesis work can choose to combine their MASc with a specialization in AI (MASc.ENGG AI). The AI collaborative specialization in AI offers students a diverse and comprehensive knowledge base in AI. Students learn from a multidisciplinary team of faculty with expertise in fundamental and applied deep learning and machine learning, while conducting AI-related research guided by a faculty supervisor. Through a combination of online learning, lectures, team-based problem-solving and experiential learning opportunities, students obtain broad expertise in machine learning and AI, including essential skills in programming and algorithmic thinking, mathematical foundations and statistical analysis for AI, optimization, and data visualization. Students also develop an intimate understanding about the policy, regulatory and ethical issues related to AI and its uses.
CAREER OPPORTUNITIES: Government, Industry, Consulting/Entrepreneurial, International Organizations, NGOs, Research and Development
Students interested in Artificial Intelligence (AI) related research and Thesis work can choose to combine their MASc with a specialization in AI (MASc.ENGG AI). The AI collaborative specialization in AI offers students a diverse and comprehensive knowledge base in AI. Students learn from a multidisciplinary team of faculty with expertise in fundamental and applied deep learning and machine learning, while conducting AI-related research guided by a faculty supervisor. Through a combination of online learning, lectures, team-based problem-solving and experiential learning opportunities, students obtain broad expertise in machine learning and AI, including essential skills in programming and algorithmic thinking, mathematical foundations and statistical analysis for AI, optimization, and data visualization. Students also develop an intimate understanding about the policy, regulatory and ethical issues related to AI and its uses.
CAREER OPPORTUNITIES: Government, Industry, Consulting/Entrepreneurial, International Organizations, NGOs, Research and Development
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Entry requirements for 貴湖大學
Four year Honours degree, or equivalent. IELTS - 6.5. TOEFL IBT - 89. TOEFL PBT - 550.
English language requirements
托福(TOEFL iBT)總分: 89.0
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