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理学硕士-信号处理与通讯

MSc Signal Processing and Communications

爱丁堡大学

University of Edinburgh

UK英国

  • 学历文凭

    学历文凭

    Masters Degree (Taught)

  • 专业院系

    专业院系

    School of Engineering

  • 开学时间

    开学时间

  • 课程时长

    课程时长

  • 课程学费

    课程学费

    汇率提示

国际学生入学条件

A UK 2:1 honours degree, or its international equivalent, typically in electrical and/or electronics engineering with a specialisation in signal processing and/or communications.

_x000D_

We will also consider your application if you have a background in a related field, such as computer science, machine learning, physics or mathematics.

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Entry into this programme is competitive. A typical offer will normally require a UK first class honours degree, or equivalent, and high grades in fundamentals, such as mathematics, signals and systems, probability and statistics, and communications and signal processing are required. In addition, some of the courses and/or your final MSc project may require programming or learning a new programming language. Therefore, you will normally need to demonstrate practical knowledge and/or experience in a high level programming language.

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  • 雅思总分:6.5
  • 托福网考总分:92
  • 托福笔试总分:160
  • 其他语言考试:PTE Academic: total 62 with at least 59 in each component.

CRICOS代码:
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课程简介

该计划为毕业生和在职专业人员提供信号处理和通信方面的广泛培训。它适合希望发展与该行业相关的专业知识和技能的应届毕业生,也适合作为高级学习,为在学术或工业环境中或在专业顾问组织中进行研究工作做准备。希望参加MSc计划的工程师或其他专业人员可以兼职。我们的学生在信号处理和通信研究的最前沿,包括压缩感测,深度神经网络,无线通信理论和数值贝叶斯方法,对理论基础和高级主题有了透彻的了解。
Signal processing and communications provide the theoretical foundations for any application which generates, processes, transmits or stores any type of information. They underpin many of the technological advancements which are currently driving rapid change in industry, such as data science, deep learning, and the Internet of Things._x000D_ Our MSc in Signal Processing and Communications will enable you to contribute to the industries and research that will help make our world smarter, healthier, and more sustainable._x000D_ You will be immersed in the most recent and exciting developments such as:_x000D_ deep neural networks_x000D_ compressive sensing_x000D_ wireless communication theory_x000D_ numerical Bayesian methods._x000D_ You will gain an understanding of the theoretical foundations of these subjects, as well as recent advanced topics and how they are applied to solve practical situations._x000D_ Through the MSc research project, you will demonstrate applications and delve deeper into the underpinning theory by investigating a solution to a real-world signal processing and communication problem._x000D_ Who this programme is for_x000D_ Our programme is suitable for graduates who wish to develop specialist knowledge and skills relevant to industries where signal processing, machine learning, and digital communications are integral._x000D_ It is also suitable as advanced study in preparation for a PhD in the field, and as a graduate, you could have the opportunity to obtain a scholarship to continue your studies with us._x000D_ Why study in Edinburgh_x000D_ Participate in cutting-edge research projects supervised by world-leading academics at a top global institution_x000D_ Access dedicated high-performance computational resources to train machine and deep learning models as part of the MSc dissertation_x000D_ Obtain a solid foundation in new advances in digital communications, signal processing, and machine learning and explore applications in cutting-edge vibrant industries_x000D_ Have the opportunity to obtain a scholarship to continue your studies for PhD in digital communications, signal processing or machine learning at the School of Engineering._x000D_ How will I learn_x000D_ You will receive lectures, coursework and practical exercises to deepen your knowledge and you will have opportunities to:_x000D_ learn from our internationally leading researchers whose research informs our teaching_x000D_ hone your programming skills_x000D_ access dedicated high-performance GPU computing facilities for your MSc project_x000D_ engage with the Institute for Digital Communications, often in collaboration with industrial partners.
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关于爱丁堡大学

爱丁堡大学(The University of Edinburgh),简称爱大,苏格兰之王,全球20强顶尖名校。位于英国苏格兰首府爱丁堡市,创建于1583年,是英语国家中第六古老的大学。《苏格兰启蒙运动》与《苏格兰大学发展研究》提到爱丁堡大学在18世纪曾超越牛津和剑桥而成为引领欧洲学术发展的第一大学。本杰明·富兰克林曾盛赞:“爱丁堡大学拥有许多真正的伟人和从事各种知识研究的教授,这在以往的任何时代、任何国家都从未有过。”爱丁堡大学产生过21名诺贝尔奖获得者、3位英国首相、4位总统和2位总理,并为罗素集团(The Russell Group)、科英布拉集团(The Coimbra Group)及欧洲研究型大学联盟(LERU)成员。达尔文、大卫·休谟、亚当·斯密、麦克斯韦、亚当·弗格森等诸多名家均曾在爱丁堡学习或从事研究。由于其悠久的历史、庞大的规模、卓越的教学质量与科研水平,爱丁堡大学在2015/16年QS世界大学排名中位居全球第21位;在2015/16年泰晤士高等教育世界大学排名中位居全球第24位,声誉排名全球第29位;在2015年维基百科世界大学影响力排名中位居全球第16位;2015/16 ARWU世界学术排名全球第47位。在英国官方每7年发布一次的2014REF英国大学研究排名中,高居全英第4位,仅次于牛津大学、伦敦大学学院和剑桥大学,是英国的超级精英大学。爱丁堡大学有一套严格的录取选拔机制,是英国大学中入学竞争最激烈、申请难度最高的大学之一,录取率仅为8%-10%左右。爱丁堡大学是英国最具规模的院校之一,以其出色而多样化的教学与研究而享誉世界。

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