国际学生入学条件
Admission is normally restricted to graduates who have achieved an upper second class honours degree (2.1), or better, in engineering, science, computing, statistics, mathematics or a related discipline. Well-qualified candidates or industry professionals from other numerate disciplines who have sufficient knowledge of computational aspects of engineering and science, may also be considered.
Two academic references (or where appropriate clinical referees)
Academic transcript(s) which must be certified by the issuing body:
Please note that graduates of the University of Dublin, Trinity College Dublin do not need to provide academic transcripts or copies of award parchments.
Certified copy of degree certificate(s)
Please note that graduates of the University of Dublin, Trinity College Dublin do not need to provide certified copies of degree certificates.
University of Cambridge:
Proficiency Certificate, Grade C or better (CEFR Level C1 or C2)
Advanced Certificate, Grade C or better (CEFR Level C1 or C2)
IELTS (Academic version)- overall 6.5 (no individual band below 6)
TOEFL (Internet based) - overall 88.
TOEFL (Paper based) - overall 570.
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IDP—雅思考试联合主办方
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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:88
- 托福笔试总分:570
- 其他语言考试:PTE (Academic) - a minimum score of 63 (with no section score below 59).
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
这是一年制全日制或两年制非全日制研究生课程,旨在为研究生工程师提供对现代计算产品和系统的专业知识。信息处理引擎现在没有改变现代生活的任何方面。示例包括数字助理(语音识别和合成)
We are in the next Industrial revolution and the challenge faced by graduates is to succeed in an age of automation. There is no aspect of modern life that is now not altered by information processing engines. Examples include teaching (online learning and assessment), automotive (driverless cars and electronic control systems), the economy (high speed automated trading), entertainment and shopping (virtual assistants and recommendation engines), health (automated diagnostics and non-invasive body scanning) and the digital humanities. <br>The M.Sc. in Electronic and Information Engineering course is designed for individuals who have a strong academic background in electronic and electrical engineering, computer engineering, or related fields, and who wish to specialise and advance their knowledge in electronic and information engineering.<br><br>The course is designed for individuals who are interested in pursuing a career in areas such as telecommunications, wireless communications, data communications, computer networks, software engineering, and signal processing. It is also suitable for individuals who are already working in the industry and wish to enhance their skills and knowledge to progress in their career or change their career path. <br><br>This M.Sc. course can be taken as either over one year as a full-time course or across two to three years part time and consists of taught modules worth 60 ECTS and a project worth 30 ECTS. A specialism in Computational Engineering is available for students selecting at least 15 ECTS from the Computational Engineering strand. M.Sc. candidates complete a substantial project and submit a report which accounts for 30 ECTS.<br><br>In addition to direct entry to the M.Sc., parallel Postgraduate Certificate (30 ECTS) and Postgraduate Diploma (60 ECTS) entry routes are available for direct separate application. For students who successfully complete the postgraduate certificate and postgraduate diploma, there is an option to rescind these awards and apply to complete an M.Sc. Part-time students may follow the staged award path over three years of study with a possible gap of up to one year in between.
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