211院校背景均分85+英国能申请的计算机专业有哪些
分类:院校介绍2020-07-07
院校一:伦敦大学学院
1. Data Science MSc
学费:£31,040
雅思要求:The English language level for this programme is: Standard
Overall grade of 6.5 with a minimum of 6.0 in each of the subtests.
均分要求: 85+
其他要求:
A minimum of an upper second-class Bachelor's degree in a quantitative discipline from a UK university or an overseas qualification of an equivalent standard. Knowledge of mathematical methods and linear algebra at university level and familiarity with introductory probability, statistics and computer programming is required. Relevant professional experience will also be taken into consideration.
课程设置
Compulsory modules
Introduction to Statistical Data Science统计数据科学概论
Introduction to Machine Learning机器学习概论
Statistical Design of Investigations调查统计设计
Statistical Computing统计计算
Optional modules
Applied Bayesian Methods应用贝叶斯方法
Decision & Risk决策与风险
Factorial Experimentation析因实验
Forecasting预测
Quantitative Modelling of Operational Risk and Insurance Analytics操作风险定量建模与保险分析
Selected Topics in Statistics统计中的选定主题
Stochastic Methods in Finance I金融随机方法I
Stochastic Methods in Finance II金融随机方法Ⅱ
Stochastic Systems随机系统
Affective Computing and Human-Robot Interaction情感计算与人机交互
Graphical Models图形模型
Statistical Natural Language Processing统计自然语言处理
Information Retrieval & Data Mining信息检索与数据挖掘
Dissertation/report论文/报告
2. MSc Human-Computer Interaction
学费:£28,853
雅思要求:The English language level for this programme is: Advanced
Advanced level: Overall grade of 7.5 with a minimum of 6.5 in each of the subtests.
均分要求:85+
其他要求:
A minimum of an upper second-class degree in computer science, psychology or ergonomics or a minimum of an upper second-class degree in a computer science-, psychology-, or ergonomics-related field (e.g. interface design, business IT, product design). Account will be taken of any relevant practical or work experience.
注意:递交申请之后可能会要求作品集
课程设置
Compulsory modules
Interaction Science交互科学
Interaction Design交互设计
Optional modules
Accessibility and Assistive Technologies可达性和辅助技术
Affective Interaction情感互动
Future Interfaces未来接口
Human Factors for Digital Health数字健康的人文因素
Serious and Persuasive Games严肃而有说服力的游戏
Physical Computing and Prototyping物理计算与原型制作
User-Centred Data Visualization以用户为中心的数据可视化
3.Computer Graphics, Vision and Imaging MSc
学费:£28,930
雅思要求: The English language level for this programme is: Good
Good level: Overall grade of 7.0 with a minimum of 6.5 in each of the subtests.
均分要求:85+
其他要求:
A minimum of an upper second-class UK Bachelor's degree in a relevant discipline, or an overseas qualification of an equivalent standard in computer science, mathematics, electrical engineering or the physical sciences is usually required. Candidates are expected to have suitable mathematics and computer programming skills. Relevant work experience may also be taken into account.
课程设置
Compulsory modules
Computer Graphics计算机图形学
Image Processing图像处理
Mathematical Methods, Algorithmics and Implementations数学方法、算法和实现
Research Methods and Reading研究方法与阅读
MSc Computer Graphics, Vision and Imaging Project计算机图形学、视觉和成像项目理学硕士
Optional modules
Group One Options
Machine Vision机器视觉
Virtual Environments虚拟环境
Group Two Options
Acquisition and Processing of 3D Geometry三维几何图形的采集与处理
Computational Modelling for Biomedical Imaging生物医学成像的计算模型
Computational Photography and Capture计算摄影与捕捉
Information Processing in Medical Imaging医学影像信息处理
Introduction to Deep Learning深度学习导论
Introduction to Machine Learning机器学习概论
Inverse Problems in Imaging成像反问题
Robotic Sensing, Manipulation and Interaction机器人感知、操作和交互
Robot Vision and Navigation机器人视觉与导航
4.Software Systems Engineering MSc
学费:£28,930
雅思要求: The English language level for this programme is: Good
Good level: Overall grade of 7.0 with a minimum of 6.5 in each of the subtests.
均分要求:85+
其他要求:
A minimum of an upper second-class UK Bachelor's degree in computer science, computing, computer engineering or software engineering, or an overseas qualification of an equivalent standard. Relevant work experience may also be taken into account.
课程设置
Compulsory modules
Professional Practice专业实践
Requirements Engineering and Software Architecture需求工程和软件架构
Research Methods in Software Engineering软件工程研究方法
Software Abstractions and Systems Integration软件抽象与系统集成
Tools and Environments工具和环境
Validation and Verification确认与校验
Optional modules
MSc Software Systems Engineering Group Project 软件系统工程小组项目
MSc Software Systems Engineering Research Project软件系统工程研究项目
Elective modules
Complex Networks and Web复杂网络与网络
Computer Security I计算机安全I
Financial Institutions and Markets金融机构和市场
Financial Market Modelling and Analysis金融市场建模与分析
Malware恶意软件
Multi-agent Artificial Intelligence多智能体人工智能
Networked Systems网络化系统
People and Security人与安全
院校二:帝国理工学院
1.MSc Artificial Intelligence
学费:£33,250
雅思要求: For admission to this course, you must achieve the higher College requirement in the appropriate English language qualification.
Higher:7.0 overall (minimum 6.5 in all elements)
均分要求:85+
其他要求:
Our minimum requirement is a first-class degree in mathematics, physics, engineering or other degree with substantial mathematics content.
课程设置
Core modules
Ethics, Privacy, AI in Society社会中的道德、隐私、人工智能
Introduction to Machine Learning机器学习概论
Introduction to Symbolic Artificial Intelligence符号人工智能导论
MSc Software Engineering Practice and Group Project软件工程实践与团队项目理学硕士
Python Programming Python编程
Individual Project独立工程
Optional modules
Advanced Databases高级数据库
Advanced Robotics高级机器人
Advanced Security in Smartphone and IoT Systems智能手机和物联网系统中的高级安全
Complexity复杂性
Computational Finance计算金融学
Computer Vision计算机视觉
Databases数据库
Deep Learning深度学习
Knowledge Representation知识表现
Logic-Based Learning逻辑学习
Machine Arguing机器辩论
Machine Learning for Imaging成像的机器学习
Maths for Machine Learning机器学习数学
Modal Logic模态逻辑
Network and Web Security网络与网络安全
Operations Research运筹学
Optimisation优化
Performance Engineering性能工程
Principles of Distributed Ledgers分布式账本原理
Privacy Engineering隐私工程
Probabilistic Inference贝叶斯网络概率推理
Probabilistic Programming概率规划
Prolog
Quantum Computing量子计算
Reinforcement Learning强化学习
Robotics机器人学
Scalable Systems for the Cloud可扩展的云系统
Separation Logic: Local Reasoning about Programs分离逻辑:程序的局部推理
Systems Verification系统验证
2.MSc Computing Science
学费:£33,250
雅思要求: For admission to this course, you must achieve the higher College requirement in the appropriate English language qualification.
Higher:7.0 overall (minimum 6.5 in all elements)
均分要求:85+
其他要求:
Our minimum requirement is a first-class degree in any subject.
课程设置
core modules
AI Programming Test人工智能编程测试
C++ Programming Test C++程序设计测试
Computer Architecture计算机体系结构
Integrated Programming Laboratory综合编程实验室
Introduction to C++ Programming C++程序设计介绍
Logic and AI Programming逻辑与人工智能编程
MSc Computing Science Individual Project计算科学硕士个人项目
Object Oriented Design and Programming面向对象设计与编程
Operating Systems操作系统
Software Engineering Practice and Group project软件工程实践与团队项目
Optional modules
Advanced Computer Graphics高级计算机图形学
Algorithms算法
Argumentation and Multi-agent Systems论证与多智能体系统
Computational Finance计算金融学
Computer Networks and Distributed Systems计算机网络与分布式系统
Cryptography Engineering密码学工程
Data Analysis and Probabilistic Inference数据分析与概率推理
Databases数据库
Graphics绘图
Logic-Based Learning逻辑学习
Machine Learning机器学习
Network and Web Security 网络与网络安全
Systems Verification系统验证
Extracurricular
Introduction to Java Java简介
院校三:爱丁堡大学
1.Artificial Intelligence MSc
学费:£32,500
雅思要求:total 6.5 with at least 6.0 in each component.
均分要求:85+
其他要求:
A UK 2:1 honours degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, linguistics, mathematics, philosophy, physics or psychology.
Entry to this programme is competitive. A typical offer will normally require a UK first class honours degree.
Competent programming skills are essential. During your degree you must have completed a programming course in at least one of the following: C/C++, Java, Python, R, Matlab, Haskell, ML.
During your degree you must have completed the equivalent to 60 credits of mathematics that have typically covered the following subjects/topics: calculus (differentiation and integration), linear algebra (vectors and multi-dimensional matrices), discrete mathematics and mathematical reasoning (e.g. induction and reasoning, graph theoretic models, proofs), and probability (concepts in discrete and continuous probabilities, Markov chains etc.) Prior knowledge of probability concepts is especially important for this degree.
课程设置
Compulsory courses:
Informatics Research Review情报学研究综述
Informatics Project Proposal信息学项目建议书
Dissertation论文
Optional
Accelerated Natural Language Processing加速自然语言处理
Advanced Vision高级视野
Automatic Speech Recognition自动语音识别
Decision Making in Robots and Autonomous Agents机器人和自主智能体的决策
Machine Learning & Pattern Recognition机器学习与模式识别
Natural Language Understanding, Generation, and Machine Translation自然语言理解、生成与机器翻译
Probabilistic Modelling and Reasoning概率建模与推理
Reinforcement Learning强化学习
Robotics: Science and Systems机器人学:科学与系统
2.Computer Science MSc
学费:£32,500
雅思要求: total 6.5 with at least 6.0 in each component.
均分要求:85+
其他要求:
A UK 2:1 honours degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, linguistics, mathematics, philosophy, physics or psychology.
Entry to this programme is competitive. A typical offer will normally require a UK first class honours degree.
Competent programming skills are essential. During your degree you must have completed a programming course in at least one of the following: C/C++, Java, Python, R, Matlab, Haskell, ML.
During your degree you must have completed the equivalent to 60 credits of mathematics that have typically covered the following subjects/topics: calculus (differentiation and integration), linear algebra (vectors and multi-dimensional matrices), discrete mathematics and mathematical reasoning (e.g. induction and reasoning, graph theoretic models, proofs), and probability (concepts in discrete and continuous probabilities, Markov chains etc.)
课程设置
Compulsory courses:
Informatics Research Review情报学研究综述
Informatics Project Proposal信息学项目建议书
Dissertation论文
Optional
Advanced Databases高级数据库
Blockchains and Distributed Ledgers区块链和分布式账本
Computational Complexity计算复杂性
Computer Networking计算机网络
Distributed Systems分布式系统
Internet of Things: Systems, Security, and the Cloud物联网:系统、安全和云
Introduction to Quantum Computing量子计算概论
Parallel Programming Languages and Systems并行程序设计语言和系统
Secure Programming安全编程
3.Data Science MSc
学费:£32,500
雅思要求: total 6.5 with at least 6.0 in each component.
均分要求:85+
其他要求:
A UK 2:1 honours degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, linguistics, mathematics, philosophy, physics, psychology or another quantitative discipline.
Entry to this programme is competitive. A typical offer will normally require a UK first class honours degree.
You should have experience of computer programming equivalent to an introductory programming course and have completed the equivalent to 60 credits of mathematics during your degree that have typically covered the following subjects/topics: calculus (differentiation and integration), linear algebra (vectors and multi-dimensional matrices), discrete mathematics and mathematical reasoning (e.g. induction and reasoning, graph theoretic models, proofs), and probability (concepts in discrete and continuous probabilities, Markov chains etc.)
课程设置
Compulsory courses
Informatics Research Review情报学研究综述
Informatics Project Proposal信息学项目建议书
Dissertation论文
Optional
You are also required to take a breadth of courses in data science, with at least one in each of the following areas:
Machine Learning, Statistics and Optimization机器学习、统计与优化
Databases and Data Management数据库和数据管理
Applications应用
4.High Performance Computing with Data Science MSc
学费:£28,150
雅思要求: total 6.5 with at least 6.0 in each component
均分要求:80+
其他要求:
A UK 2:1 honours degree, or its international equivalent, in a relevant subject such as computer science and informatics, physics, mathematics, engineering, biology, chemistry and geosciences.
You must be a competent programmer in at least one of C, C++, Python, Fortran, or Java and should be familiar with mathematical concepts such as algebra, linear algebra and probability and statistics.
We will also consider your application if you don’t have formal programming training (e.g. if you are primarily self-taught), or if you have a 2:2 honours degree with high marks in computational courses and/or additional relevant work experience. Your application should clearly demonstrate your relevant experience.
课程设置
Compulsory courses:
Fundamentals of Data Management数据管理基础
Message-Passing Programming消息传递编程
Programming Skills编程技巧
Threaded Programming线程编程
Data Analytics with High Performance Computing高性能计算的数据分析
Software Development软件开发
Project Preparation项目准备
Dissertation论文
HPC Optional courses (at least 2 of):
Numerical Algorithms for High Performance Computing高性能计算的数值算法
Design and Analysis of Parallel Algorithms并行算法的设计与分析
HPC Architectures高性能计算机体系结构
Advanced Parallel Techniques高级并行技术
Advanced Message-passing Programming高级消息传递编程
Parallel Design Patterns并行设计模式
Performance Programming性能编程
Machine Learning Practical机器学习实践
Bioinformatics 1生物信息学1
Extreme Computing极限计算
Image and Vision Computing图像与视觉计算
Text Technologies for Data Science数据科学的文本技术
Advanced Topics in Foundations of Databases数据库基础中的高级主题
Bioinformatics 2生物信息学2
Distributed Systems分布式系统
Probabilistic Modelling and Reasoning概率建模与推理
Reinforcement Learning强化学习
院校四:曼彻斯特大学
1.MSc ACS: Artificial Intelligence
学费:£25,000
雅思要求: IELTS: overall score of 7.0 with no sub-test below 6.0
均分要求:80+
其他要求:
We require a First or strong Upper Second class honours degree or equivalent in Computer Science or in a joint degree with at least 50% Computer Science content. Applicants with extensive Computer Science industrial experience and a good honours degree in Computer Science, or its overseas equivalent, may also be considered for admission. We also require that all applicants have a strong background in Computer Science reflected, for example, in solid programming and software development skills.
课程设置
Mandatory
Masters Project 硕士项目
Optional
Automated Reasoning and Verification自动推理和验证
Modelling Data on the Web 在Web上建模数据
Principles of Digital Biology 数字生物学原理
Introduction to Health Informatics 健康信息学导论
Data Engineering数据工程
Systems Governance系统治理
Foundations of Machine Learning机器学习基础
Modelling and Visualisation of High-Dimensional Data高维数据的建模与可视化
Text Mining文本挖掘
Computer Vision计算机视觉
Cryptography密码学
Cyber Security 网络安全
Software Engineering Concepts in Practice实践中的软件工程概念
Ontology Engineering for the Semantic Web 语义Web的本体工程
Querying Data on the Web 在网上查询数据
Agile and Test-Driven Development敏捷和测试驱动开发
Component-based Software Development基于组件的软件开发
Pattern-Based Software Development基于模式的软件开发
2.MSc Advanced Computer Science
学费:£25,000
雅思要求: overall score of 7.0 with no sub-test below 6.0
均分要求:80+
其他要求:
We require a First or strong Upper Second class honours degree or equivalent in Computer Science or in a joint degree with at least 50% Computer Science content. Applicants with extensive Computer Science industrial experience and a good honours degree in Computer Science, or its overseas equivalent, may also be considered for admission. We also require that all applicants have a strong background in Computer Science reflected, for example, in solid programming and software development skills.
课程设置
Mandatory
Masters Project 硕士项目
Optional
Automated Reasoning and Verification自动推理和验证
Modelling Data on the Web 在Web上建模数据
Principles of Digital Biology数字生物学原理
Introduction to Health Informatics健康信息学导论
Data Engineering数据工程
Systems Governance系统治理
Foundations of Machine Learning机器学习基础
Modelling and Visualisation of High-Dimensional Data高维数据的建模与可视化
Text Mining文本挖掘
Computer Vision计算机视觉
Cryptography 密码学
Cyber Security 网络安全
Software Engineering Concepts in Practice实践中的软件工程概念
Ontology Engineering for the Semantic Web 语义Web的本体工程
Querying Data on the Web 在网上查询数据
Agile and Test-Driven Development敏捷和测试驱动开发
Component-based Software Development基于组件的软件开发
Pattern-Based Software Development基于模式的软件开发
院校五:伦敦大学国王学院
1.Advanced Computing MSc
学费:£26,550
雅思要求:6.5 overall with a minimum of 6.0 in each skill
均分要求:80+
其他要求:
Bachelors degree with 2:1 honours degree in computer science, mathematics, physics, chemistry, electrical engineering, or a joint degree in two such subjects. Competence in a high level programming language such as Pascal, C, C++, Java, etc, to the level expected at the end of the first year of a BSc honours degree in computer science. We may lower entry qualifications for students with substantial relevant work experience.
In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.
课程设置
Required Modules
Individual Project 独立项目
Optional Modules
Cryptography密码学
Nature-Inspired Learning Algorithms自然启发学习算法
Pattern Recognition, Neural Networks & Deep Learning模式识别、神经网络与深度学习
Network Theory网络理论
Security Management安全管理
Artificial Intelligence Planning人工智能规划
Agents & Multi-Agent Systems 代理和多代理系统
Computer Vision计算机视觉
Security Engineering安全工程
Big Data Technologies大数据技术
Software Measurement & Testing软件测量与测试
Simulation and Data Visualisation模拟和数据可视化
Software Engineering and Underlying Technology for Financial Systems金融系统的软件工程和底层技术
Distributed Ledgers and Crypto-Currencies分布式账本和加密货币
Modules may typically include
Machine Learning机器学习
Optimisation Methods优化方法
Artificial Intelligence Reasoning and Decision Making人工智能推理与决策
Human-Computer Interaction人机交互
Software Design & Architecture软件设计与架构
Formal Verification形式验证
Compilers & Formal Language编译程序与形式语言
Computational Models计算模型
Agile Software Performance Engineering in Industrial Practice工业实践中的敏捷软件性能工程
Information Security信息安全
2.Artificial Intelligence MSc
学费:£26,550
雅思要求: 6.5 overall with a minimum of 6.0 in each skill
均分要求:80+
其他要求:
BSc or BEng with 2:1 honours in Engineering or other relevant subject e.g. physics, mathematics, computer science.
In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.
We also welcome professional or occupational qualifications and assess them on an individual basis.
课程设置
Required Modules
Individual Project 独立项目
Optional Modules
Agents & Multi-Agent Systems代理和多代理系统
Nature-Inspired Learning Algorithms自然启发学习算法
Pattern Recognition, Neural Networks and Deep Learning模式识别、神经网络与深度学习
Philosophy & Ethics of Artificial Intelligence人工智能的哲学与伦理学
Artificial Intelligence Planning人工智能规划
Data Mining数据挖掘
Computer Vision计算机视觉
Distributed Ledgers & Crypto-Currencies分布式账本和加密货币
Modules may typically include
Optimisation Methods优化方法
Formal Verification形式验证
Human-Computer Interaction人机交互
Computational Models计算模型
Artificial Intelligence Reasoning and Decision Making人工智能推理与决策
Machine Learning机器学习
3.Data Science MSc
学费:£26,550
雅思要求:6.5 overall with a minimum of 6.0 in each skill
均分要求:80+
其他要求:
A Bachelor’s degree with 2:1 (Upper Second Class) honours is required in one of the following subject areas:
Computer Science, or Computing
Mathematics, Pure Mathematics, Mathematical Statistics or Statistics
Physics
Natural Science
Electronic Engineering
Geographic Information Systems
Operations Research
In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.
课程设置
Required Modules
Computer Programming for Data Scientists or Big Data Technologies面向数据科学家或大数据技术的计算机程序设计
Databases, Data Warehousing & Information Retrieval数据库、数据仓库和信息检索
Statistics for Data Analysis or Elements of Statistical Learning or Statistics in Finance数据分析统计或统计学习要素或金融统计
Data Mining数据挖掘
Individual Project独立项目
Optional Modules
Elements of Statistical Learning统计学习要素
Statistics in Finance金融统计
Agents & Multi-Agent Systems代理和多代理系统
Nature-Inspired Learning Algorithms自然启发学习算法
Pattern Recognition, Neural Networks & Deep Learning模式识别、神经网络与深度学习
Network Theory网络理论
Big Data Technologies大数据技术
Simulation & Data Visualisation模拟和数据可视化
Computer Vision计算机视觉
Telling Stories with Data用数据讲故事
Machine Learning机器学习
Optimisation Methods优化方法
Artificial Intelligence Reasoning and Planning人工智能推理与规划
