双非录取诺丁汉大学计算机专业-新东方前途出国

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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
    • 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

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    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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