帝国理工学院/英国

授课型硕士 · 2027

高级计算机硕士

Advanced Computing

理学硕士MSc

学制

1 年1 year

授课

全日制Full-time

学费

英镑 46,000 · 2027 entry fee not set on page; Overseas guide fee £46,000 每年 on course pageGBP 46,000 · 2027 entry fee not set on page; Overseas guide fee £46,000 per year on course page

英语

雅思 7 · English language requirement All candidates must demonstrate a minimum level of English language proficiency for admission to Imperial。IELTS 7 · English language requirement All candidates must demonstrate a minimum level of English language proficiency for admission to Imperial. For admission to this course, you must achieve the higher university requirement in the appropriate English language qualification. For details of the minimum grades required to achieve this requirement, please see the English language requirements .

入学要求

—

学年课程

官网写明为示例课程,以当年公布为准

选修Optional modules

  • 高级计算机安全Advanced Computer Security
  • Complexity
  • 计算金融Computational Finance
  • 数学机器学习Mathematics for Machine Learning
  • 隐私工程Privacy Engineering
  • 项目分析Program Analysis
  • Scalable Systems and Data
  • Scalable Software Verification
  • Reinforcement Learning
  • Prolog
  • 导论机器学习Introduction to Machine Learning
  • Scheduling and Resource Allocation
  • 独立学习选修Independent Study Option
  • 量子计算机Quantum Computing
  • 高级计算机图形Advanced Computer Graphics
  • 计算优化Computational Optimisation
  • 密码学工程Cryptography Engineering
  • 深学习Deep Learning
  • 机器学习成像Machine Learning for Imaging
  • 自然语言处理Natural Language Processing
  • Principles of Distributed Ledgers
  • Probabilistic Inference
  • 软件可靠性Software Reliability
  • 软件工程产业Software Engineering for Industry
  • Formal Methods for Safe AI
  • Robot Learning
  • 高级计算机建筑Advanced Computer Architecture
  • 计算机视觉Computer Vision
  • 图形Graphics
  • Custom Computing
  • Distributed Algorithms
  • 网络与网络安全Network and Web Security
  • 系统表演工程System Performance Engineering
  • 逻辑基于学习Logic-Based Learning
  • Computational Neurodynamics
  • Deep Graph-Based Learning
  • Human-Robot Interaction
  • 统计信息理论Statistical Information Theory
  • 软件工程机器学习系统Software Engineering for Machine Learning Systems
  • Networked Systems
  • Non-Euclidean Methods in Machine Learning
  • Introduction to Concrete Complexity
  • Machine Learning Systems and Hardware
  • 生成式人工智能Generative AI

申请节点

—

所载课名、学制、学费与入学要求摘自学校官网当年公布。中文名为惯例译名,英文以官网为准。缺字段写作「—」,不编数字。是否适合申请、如何排冲稳保,预约梳理后另议。

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