国际学生入学条件
Bachelor's degree in engineering,or equivalent with a minimum 75% average in the last 2 years of fulltime study (or equivalent) Demonstrated acceptable analytical ability by having sufficient background in mathematics,chemistry, and physics
Applicants without a BEng must be prepared to take additional courses in topics related to the research project, without receiving graduate
credit(s)
Please note that for the IELTS test, the School of Engineering requires a minimum score of 6.0 for each component band, with a minimum score of 6.5 overall. Test of English as a Foreign Language (TOEFL) and (TOEFL Special Home Edition (iBT)) 89 A minimum score of 21 must be achieved in each of the four categories (listening, speaking, reading, writing)
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雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:89
- 托福笔试总分:600
- 其他语言考试:Pearson Test of English Academic- 60 A minimum score of 60 must be achieved in each individual component
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
应用科学硕士(MASc)计划为机械工程领域的高级研究提供了机会
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.<br> <br>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.<br>CAREER OPPORTUNITIES: Government, Industry, Consulting/Entrepreneurial, International Organizations, NGOs, Research and Development
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