国际学生入学条件
To gain entry into this program, applicants need one of the following:
a) a recognized 3-year bachelor degree in an engineering qualification in a congruent field of practice.
b) an EIT Bachelor of Science (Engineering) degree in a congruent field of practice.
c) a 4-year Bachelor of Engineering qualification (or equivalent), that is recognized under the Washington Accord or Engineers Australia, in a congruent, or a different field of practice at the discretion of the Admissions Committee.
d) a 4-year Bachelor of Engineering qualification (or equivalent)* that is not recognized under the Washington Accord, in a congruent field of practice to this program.
An appropriate level of English Language Proficiency equivalent to an English pass level in an Australian Senior Certificate of Education, or an IELTS score of 6.0 (with no individual band less than 6.0), or equivalent. TOEFL ibt: 78, TOEFL pbt: 547.
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IDP—雅思考试联合主办方

雅思考试总分
6.0
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雅思考试指南
- 雅思总分:6
- 托福网考总分:78
- 托福笔试总分:547
- 其他语言考试:Pearson Test of English (PTE) Academic : 51 – 58
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
A powerful force is driving industrial growth and change, and it's only getting stronger. That force Uncertainty. Society increasingly demands more efficient transport, more power production, safer energy exploration and processing, less waste, smarter products and of course, all at lower costs. All these demands spotlight uncertainty, and how we need to manage uncertainty through engineering, science and technology. Modern engineers face an intriguing set of challenges when tackling uncertainty and they have developed some of the smartest methods, tools, techniques and approaches for understanding system safety, risk and reliability.<br><br>The Master of Engineering (Safety, Risk and Reliability) is the ideal gateway to boost your capacity to tackle these real world increasingly complex issues. In the 21st century, industry will routinely deal with novel hazardous processing technologies, complex energy grid load-balancing from renewables, driverless cars, artificial vision to augment control and feedback in sub-sea exploration – and the infinitesimal scale of nanotechnologies in bionic engineering. Currently, people are at the heart of many hazardous work environments, exposed to the consequences of uncontrolled events, but soon, artificial intelligence will afford more human tasks to be automated (and present a host of newer risks, in exchange for the retired ones). This progress has to be examined in systematic terms – terms that integrate our understandings of technical fallibility, human error and political decision-making.
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