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      双非录取诺丁汉大学计算机专业

      • 英国研究生
      • 低GPA

      李丹妮英国中学,本科,研究生,语言教学呼和浩特

      从业年限
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      #向我咨询留学申请方案 咨询我
      • 录取院校:诺丁汉大学
      • 语言成绩
      • GPA80
      背景介绍
      录取院校:诺丁汉大学

      录取专业MSc Computer Science

      成绩背景:内蒙古工业大学 计算数学专业 均分80

      指导老师:李丹妮(呼和浩特新东方前途出国 英国部前期顾问

      我要咨询李丹妮老师(想详细了解学生的规划申请情况,可以点击链接咨询丹妮老师哦

      录取学校名称 诺丁汉大学
      录取专业全称 MSc Computer Science
      课程信息 硕士
      学术要求 Successful completion of your Bachelors Information and Computing Sciences degree from Inner Mongolia University of Technology confirming a minimum of 80% overall. 中英文毕业证学位证大学四年成绩单 四年加权平均分80
      语言要求 Achieving an academic IELTS band of at least 6.5 (with a minimum of 6.0 for each element)雅思总分6.5 小分不低于6
      其他要求 下录取6周内接受offer
      回复接受offer截至日期
      (如需接受或放弃offer请书面告知,如逾期未接受,offer将会作废)
       
      押金金额(英镑) 2000
      押金缴纳截至日期  
      开学时间(月/年) 25-Sep-23
      结课时间(月/年) 25-Sep-24
      预计学费 (英镑) 27200
      其他信息 换cas(签证函的时候缴纳)2000英镑押金
      申请难点
      留学规划与提升

      了解学校课程设置:

      Course overview

      This course is available to students with or without a first degree in computer science.

      Computer Science is playing a key role in many industries all around the world. Developments in artificial intelligence, apps and cyber security are changing how we live, work and socialise. This course will give you the skills and knowledge to prepare you for a range of high-level careers.

       

      Core modules will develop your knowledge in key topics such as programming, databases, and networks. Optional modules give you the flexibility to broaden your knowledge in specialist areas, including machine learning, autonomous robotics, and human-AI interaction.

       

      You will undertake an individual research project in an area of your choice. All projects are supervised by an expert researcher in the area, and many involve collaborations across the University or with industry partners. Previous projects have included:

       

      Benchmarking consumer data and privacy knowledge in connected and autonomous vehicles

      How time, peer pressure, cognitive load, and emotional attachment influences affect people’s decisions of moral dilemmas within virtual environments

      Predicting keystrokes using an audio side-channel attack and machine learning

      If you choose to focus your study and research in the field of AI, you can graduate with a degree titled ‘MSc Computer Science (Artificial Intelligence)’.

       

      Modules

      Core

      Research Methods20 credits

      Students without a degree in computer science must take the following:

      Programming20 credits

      Systems and Networks20 credits

      Databases, Interfaces and Software Design Principles20 credits

      Students wishing to obtain MSc Computer Science (Artificial Intelligence) must select 40 credits from the list below:

      Autonomous Robotic Systems20 credits

      Big Data Learning and Technologies10 credits

      Computer Vision20 credits

      Data Modelling and Analysis20 credits

      Designing Intelligent Agents

      Fuzzy Logic and Fuzzy Systems20 credits

      Human-AI Interaction20 credits

      Knowledge Representation and Reasoning

      Linear and Discrete Optimisation20 credits

      Machine Learning20 credits

      Simulation and Optimisation for Decision Support20 credits

      Research projects

      All students must complete a research project. If you wish to graduate with the title of MSc Computer Science (Artificial Intelligence), you must choose the AI project.

      Research Project in Computer Science60 credits

      Research Project in Computer Science (Artificial Intelligence)60 credits

      Optional modules

      Advanced Algorithms and Data Structures10 credits

      Advanced Computer Networks20 credits

      Autonomous Robotic Systems20 credits

      Computer Graphics20 credits

      Databases, Interfaces and Software Design Principles20 credits

      Fundamentals of Information Visualisation10 credits

      Information Visualisation Project

       

      Knowledge, Representation and Reasoning20 credits

      Linear and Discrete Optimisation20 credits

      Machine Learning20 credits

      Malware Analysis10 credits

      Mixed Reality20 credits

      Programming20 credits

      Programs, Proofs and Types20 credits

      Project in Advanced Algorithms and Data Structures10 credits

      Simulation and Optimisation for Decision Support20 credits

      Systems and Networks20 credits

      Human-AI Interaction20 credits

      Designing Intelligent Agents20 credits

      Games20 credits

      Data Modelling and Analysis20 credits

      Fuzzy Logic and Fuzzy Systems20 credits

      Big Data Learning and Technologies10 credits

      Computer Vision20 credits

      Cyber Security10 credits

       
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