2023年帝国理工学院有哪些计算机硕士专业?入学要求高吗?需要背景吗
随着互联网信息技术的崛起，计算机人才成为了各行各业中不可或缺的人才，计算机专业也成为了当下最热门的学科，英国在计算机领域一直处于世界领先水平，很多IT大集团都与英国高校有紧密的合作关系，帝国理工学院就是代表之一，那么，问题来了，2023年帝国理工学院有哪些计算机硕士专业?入学要求高吗?需要背景吗?接下来，就是小编来看看吧，希望对大家有所帮助：
专业1：MSc Advanced Computing
学术要求：英国学历1等本科学位，具有大量计算学科的学位
雅思要求：7.0，单科6.5
课程安排：
核心课程：
MAC Individual Project(MAC个人项目)
Short Introduction to Prolog(序言简介)
选修课程(1组-选1-2门)：
Prolog(序言)
Software Engineering for Industry(工业软件工程)
选修课程(2组-选5-8门)：
Advanced Computer Graphics(高级计算机图形学)
Advanced Issues in Object Oriented Programming(面向对象程序设计中的高级问题)
Advanced Robotics(先进机器人技术)
Advanced Security(高级安全)
Advanced Statistical Machine Learning and Pattern Recognition(高级统计机器学习与模式识别)
Argumentation and Multi-agent Systems(议论文与多智能体系统)
Body Sensor Networks in the Internet of Things(物联网中的人体传感器网络)
Complexity(复杂性)
Computational Finance(计算金融学)
Computational Optimisation(计算优化)
Concurrent Processes(并行进程)
Cryptography Engineering(密码工程)
Data Analysis and Probabilistic Inference(数据分析与概率推理)
Independent Study Option(独立学习选项)
Knowledge Representation(知识表示)
Large Scale Data Management(大规模数据管理)
Mathematics for Machine Learning(机器学习数学)
Medical Image Computing(医学图像计算)
Modal Logic(模态逻辑)
Performance Engineering(性能工程)
Principles of Decentralized Ledgers(分散式账本原理)
Privacy Enhancing Techniques(隐私增强技术)
Probabilistic Model Checking and Analysis(概率模型检验与分析)
Quantum Computing(量子计算)
Reinforcement Learning(强化学习)
Scalable Distributed Systems Design(可扩展分布式系统设计)
Separation Logic:Local Reasoning about Programs(分离逻辑：程序的局部推理)
Software Reliability(软件可靠性)
选修课程(3组-选2门)：
Advanced Computer Architecture(高级计算机体系结构)
Advanced Databaseds(高级数据库)
Computer Vision(计算机视觉)
Custom Computing(自定义计算)
Distributed Algorithms(分布式算法)
Dynamical Systems and Deep Learning(动力系统与深度学习)
Information and Coding Theory(信息与编码理论)
Logic-Based Learning(基于逻辑的学习)
Network and Web Security(网络与网络安全)
Systems Verification(系统验证)
Type Systems for Programming Languages(程序设计语言的类型系统)
专业2：MSc Artificial Intelligence
学术要求：英国学历1等本科学位，数学、物理、工程或其他具有丰富数学内容学位
雅思要求：7.0，单科6.5
课程安排：
核心课程：
Ethics, Privacy, AIin Society(伦理、隐私、社会中的人工智能)
Introduction to Machine Learning(机器学习概论)
Introduction to Symbolic Artificial Intelligence(符号人工智能概论)
MSc Software Engineering Practice and Group Project(软件工程实践与团队项目硕士)
Python Programming(Python编程)
Individual Project(个人项目)
选修课程(选5门)：
Advanced Databases(高级数据库)
Advanced Robotics(先进机器人技术)
Advanced Security in Smartphone and IoT Systems(智能手机和物联网系统的高级安全)
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(知识表示)
Logic-Based Learning(基于逻辑的学习)
Machine Arguing(机器辩论)
Machine Learning for Imaging(图像的机器学习)
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(序言)
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)
专业3：MSc Computing (Artificial Intelligence and Machine Learning)
学术要求：英国学历1等本科学位，具有大量计算学科的学位
雅思要求：7.0，单科6.5
课程安排：
核心课程：
MSc Computing Science (Specialist) Individual Project(计算机科学(专业)个人项目理学硕士)
Prolog(序言)
Short Introduction to Prolog(序言简介)
选修课程(1组-选3或4门)：
Advanced Robotics(先进机器人技术)
Advanced Statistical Machine Learning and Pattern Recognition(高级统计机器学习与模式识别)
Computer Vision(计算机视觉)
Data Analysis and Probabilistic Inference(数据分析与概率推理)
Dynamical Systems and Deep Learning(动力系统与深度学习)
Machine Learning(机器学习)
Mathematics for Machine Learning(机器学习数学)
Modal Logic(模态逻辑)
Reinforcement Learning(强化学习)
Robotics(机器人学)
选修课程(2组-选2到4门)：
Argumentation and Multi-agent Systems(议论文与多智能体系统)
Knowledge Representation(知识表示)
Logic-Based Learning(基于逻辑的学习)
Probabilistic Model Checking and Analysis(概率模型检验与分析)
Systems Verification(系统验证)
选修课程(3组-选3门)
Advanced Computer Architecture(高级计算机体系结构)
Advanced Computer Graphics(高级计算机图形学)
Advanced Databases(高级数据库)
Advanced Issues in Object Oriented Programming(高级面向对象程序设计问题)
Advanced Security(高级安全)
Complexity(复杂性)
Computational Finance(计算金融学)
Computational Optimisation(计算优化)
Cryptography Engineering(密码工程)
Custom Computing(自定义计算)
Distributed Algorithms(分布式算法)
Graphics(绘图)
Independent Study Option(独立学习选项)
Information and Coding Theory(信息与编码理论)
Network and Web Security(网络与网络安全)
Operations Research(运筹学)
Pervasive Computing(普适计算)
Principles of Decentralized Ledgers(分散式账本原理)
Quantum Computing(量子计算)
Simulation and Modelling(仿真与建模)
Type Systems for Programming Languages(程序设计语言的类型系统)
专业4：MSc Computing (Management and Finance)
学术要求：英国学历1等本科学位，具有大量计算学科的学位
雅思要求：7.0，单科6.5
课程安排：
核心课程：
Computational Finance(计算金融学)
MSc Computing Science(Specialist) Individual Project(计算机科学(专业)个人项目理学硕士)
选修课程(1组-选5到8门)：
Advanced Databases(高级数据库)
Complexity(复杂性)
Computational Optimisation(计算优化)
Data Analysis and Probabilistic Inference(数据分析与概率推理)
Dynamical Systems and Deep Learning(动力系统与深度学习)
Large Scale Data Management(大规模数据管理)
Mathematics for Machine Learning(机器学习数学)
Operations Research(运筹学)
Performance Engineering(性能工程)
Privacy Enhancing Techniques(隐私增强技术)
Simulation and Modelling(仿真与建模)
Systems Verification(系统验证)
选修课程(2组-选3门)
Advanced Computer Architecture(高级计算机体系结构)
Advanced Computer Graphics(高级计算机图形学)
Advanced Issues in Object Oriented Programming(高级面向对象程序设计问题)
Advanced Security(高级安全)
Advanced Statistical Machine Learning and Pattern Recognition(高级统计机器学习与模式识别)
Argumentation and Multi-agent Systems(议论文与多智能体系统)
Computer Vision(计算机视觉)
Cryptography Engineering(密码工程)
Custom Computing(自定义计算)
Distributed Algorithms(分布式算法)
Graphics(绘图)
Independent Study Option(独立学习选项)
Information and Coding Theory(信息与编码理论)
Knowledge Representation(知识表示)
Machine Learning(机器学习)
Network and WebSecurity(网络与网络安全)
Pervasive Computing(普适计算)
Principles of Decentralized Ledgers(分散式账本原理)
Probabilistic Model Checking and Analysis(概率模型检验与分析)
Prolog(序言)
Quantum Computing(量子计算)
Robotics(机器人学)
Type Systems for Programming Languages(程序设计语言的类型系统)
课外：
Short Introduction to Prolog(序言简介)
专业5：MSc Computing (Security and Reliability)
学术要求：英国学历1等本科学位，具有大量计算学科的学位
雅思要求：7.0，单科6.5
课程安排：
核心课程：
MSc Computing Science(Specialist) Individual Project(计算机科学(专业)个人项目理学硕士)
选修课程(1组-选3-5门)
Advanced Security(高级安全)
Cryptography Engineering(密码工程)
Information and Coding Theory(信息与编码理论)
Large Scale Data Management(大规模数据管理)
Network and Web Security(网络与网络安全)
Privacy Enhancing Techniques(隐私增强技术)
Separation Logic:Local Reasoning about Programs(分离逻辑：程序的局部推理)
Software Reliability(软件可靠性)
选修课程(2组-选1到6门)：
Advanced Computer Architecture(高级计算体系结构)
Advanced Issues in Object Oriented Programming(高级面向对象程序设计问题)
Advanced Statistical Machine Learning and Pattern Recognition(高级统计机器学习与模式识别)
Complexity(复杂性)
Concurrent Processes(并行进程)
Data Analysis and Probabilistic Inference(数据分析与概率推理)
Distributed Algorithms(分布式算法)
Logic-Based Learning(模态逻辑)
Machine Learning(机器学习)
Mathematics for Machine Learning(机器学习数学)
Modal Logic(模态逻辑)
Performance Engineering(性能工程)
Principles of Decentralized Ledgers(分散式账本原理)
Probabilistic Model Checking and Analysis(概率模型检验与分析)
Quantum Computing(量子计算)
Scalable Distributed Systems Design(可扩展分布式系统设计)
Software Engineering for Industry(工业软件工程)
Systems Verification(系统验证)
Type Systems for Programming Languages(程序设计语言的类型系统)
选修课程(3组-选3门)
Advanced Computer Graphics(高级计算机图形学)
Advanced Databases(高级数据库)
Argumentation and Muti-agent Systems(论证与多智能体系统)
Computational Finance(计算金融学)
Computational Optimisation(计算优化)
Computer Vision(计算机视觉)
Custom Computing(自定义计算)
Daynamical Systems and Deep Learning(日常系统与深度学习)
Graphics(绘图)
Independent Study Option(独立学习选项)
Knowledge Representation(知识表示)
Operations Research(运筹学)
Pervasive Computing(普适计算)
Prolog(序言)
Robotics(机器人学)
Simulation and Modelling(仿真与建模)
课外：
Short Introductionto Prolog(序言简介)
专业6：MSc Computing(Software Engineering)
学术要求：英国学历1等本科学位，具有大量计算学科的学位
雅思要求：7.0，单科6.5
课程安排：
核心课程：
MSc ComputingScience(Specialist) Individual Project(计算机科学(专业)个人项目理学硕士)
MSc Software Engineering Group Project(软件工程组项目理学硕士)
Software Engineering for Industry(工业软件工程)
选修课程(1组-选4到7门)：
Advanced Databases(高级数据库)
Advanced Issues in Object Oriented Programming(高级面向对象程序设计问题)
Advanced Security(高级安全)
Concurrent Processes(并行进程)
Cryptography Engineering(密码工程)
Distributed Algorithms(分布式算法)
Information and Coding Theory(信息与编码理论)
Large Scale Data Management(大规模数据管理)
Modal Logic(模态逻辑)
Network and Web Security(网络与网络安全)
Performance Engineering(性能工程)
Pervasive Computing(普适计算)
Principles of Decentralized Ledgers(分散式账本原理)
Privacy Enhancing Techniques(隐私增强技术)
Probabilistic Model Checking and Analysis(概率模型检验与分析)
Scalable Distributed Systems Design(可扩展分布式系统设计)
Separation Logic:Local Reasoning about Programs(分离逻辑：程序的局部推理)
Software Reliability(软件可靠性)
Systems Verification(系统验证)
Type Systems for Programming Languages(程序设计语言的类型系统)
选修课程(2组-选3门)：
Advanced Computer Architecture(高级计算机体系结构)
Advanced Computer Graphics(高级计算机图形学)
Advanced Statistical Machine Learning and Pattern Recognition(高级统计机器学习与模式识别)
Argumentation and Multi-agent Systems(议论文与多智能体系统)
Complexity(复杂性)
Computational Finance(计算金融学)
Computational Optimisation(计算优化)
Computer Vision(计算机视觉)
Custom Computing(自定义计算)
Data Analysis and Probabilistic Inference(数据分析与概率推理)
Dynamical Systems and Deep Learning(动力系统与深度学习)
Graphics(绘图)
Independent Study Option(独立学习选项)
Knowledge Representation(知识表示)
Machine Learning(机器学习)
Mathematics for Machine Learning(机器学习数学)
Operations Research(运筹学)
Quantum Computing(量子计算)
Robotics(机器人学)
Simulation and Modelling(仿真与建模)
课外：
Short Introduction to Prolog(序言简介)
专业7：MSc Computing(Visual Computing and Robotics)
学术要求：英国学历1等本科学位，具有大量计算学科的学位
雅思要求：7.0，单科6.5
课程安排：
核心课程：
MSc Computing Science(Specialist) Individual Project(计算机科学(专业)个人项目理学硕士)
选修课程(1组-选3到5门)：
Advanced Computer Graphics(高级计算机图形学)
Advanced Robotics(先进机器人技术)
Body Sensor Networks in the Internet of Things(物联网中的人体传感器网络)
Computer Vision(计算机视觉)
Mathematics for Machine Learning(机器学习数学)
Medical Image Computing(医学图像计算)
选修课程(2组-选1到6门)
Advanced Computer Architecture(高级计算机体系结构)
Advanced Databases(高级数据库)
Advanced Statistical Machine Learning and Pattern Recognition(高级统计机器学习与模式识别)
Custom Computing(自定义计算)
Data Analysis and Probabilistic Inference(数据分析和概率推算)
Large Scale Data Management(大规模数据管理)
Machine Learning(机器学习)
Reinforcement Learning(强化学习)
Robotics(机器人学)
Scalable Distributed Systems Design(可扩展分布式系统设计)
选修课程(3组-选3门)
Advanced Issues in Object Oriented Programming(面向对象程序设计中的高级问题)
Advanced Security(高级安全)
Argumentation and Multi-agent Systems(议论文与多智能体系统)
Complexity(复杂性)
Computational Finance(计算金融学)
Computational Optimisation(计算优化)
Cryptography Engineering(密码工程)
Distributed Algorithms(分布式算法)
Dynamical Systems and Deep Learning(动力系统与深度学习)
Graphics(绘图)
Independent Study Option(独立学习选项)
Information and Coding Theory(信息与编码理论)
Knowledge Representation(知识表示)
Network and WebSecurity(网络与网络安全)
Operations Research(运筹学)
Pervasive Computing(普适计算)
Principles of Decentratlized ledgers(分散账本原则)
Probabilistic Model Checking and Analysis(概率模型检验与分析)
Prolog(序言)
Type Systems for Programming Languages(程序设计语言的类型系统)
课外：
Short Introduction to Prolog(序言简介)
专业8：MSc Computing Science
学术要求：英国学历1等本科学位，任何背景
雅思要求：7.0，单科6.5
课程安排：
核心课程：
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)
选修课程(选4门)
Advanced Computer Graphics(高级计算机图形学)
Algorithms(算法)
Argumentation and multi-agent Systems(议论文与多智能体系统)
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(密码工程)
Data Analysis and Probabilistic Inference(数据分析与概率推理)
Databases(数据库)
Graphics(绘图)
Introduction to Artificial Intelligence(人工智能概论)
Logic-Based Learning(基于逻辑的学习)
Machinelearning(机器学习)
Network and Web Security(网络与网络安全)
Systems Verification(系统验证)
课外：
Introduction to Java(Java简介)
综上所述，以上讲的就是关于2023帝国理工学院有哪些计算机硕士专业的相关问题介绍，希望能给各位赴英留学的学子们指点迷津。近年来，赴英留学一直是广大学生最热门的话题，同时，很多学生对于签证的办理、院校的选择、就业的前景、学习的费用等诸多问题困扰不断，别担心，IDP留学专家可以为你排忧解难，同时，更多关于赴英留学的相关资讯在等着你，绝对让你“浏览”忘返。在此，衷心祝愿各位学子们能够顺利奔赴自己心目中理想的学校并且学业有成!
