国际学生入学条件
Minimum Degree: Normally, the minimum requirement for admission to a master's program is successful completion of an undergraduate degree/ baccalaureate, in an honours program or the equivalent, from a recognized university.
Minimum Admisson Average: 70% (B-) average is required in the last two years of full-time equivalent study.
Calculating Admission Average:
North American Degrees;
A four-year undergraduate degree from a recognized institution.
Typically, the last 20 one-semester courses consist of 10 Credits/60 Units/60 Hours
For in-progress degrees, the total number of credits with grades that are used may be lower. E.g. 8 Credits/48 Units/48 Hours may have grades while 2 Credits/12 Units/12 Hours will be in progress.
International Degrees;
Country-specific degree equivalent to Guelph's four-year undergraduate degree from a recognized institution.
Typically, the last 4 full-time semesters (or 6 full-time semesters for full-year education systems) equivalent credits.
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IDP—雅思考试联合主办方

雅思考试总分
6.5
- 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:PTE - 60
CRICOS代码:
申请截止日期: 请与IDP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, ConsultingEntrepreneurial, International Organizations, NGOs, Research and Development
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