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伯明翰大学（英文名：University of Birmingham），始建于1825年，是位于英国第二大城市伯明翰的世界百强名校，英国老牌名校。于1900年获得维多利亚女王授予的皇家特许状，是英国著名的六所“红砖大学”中的首位成员，英国12所精英大学之一。同时也是英国常春藤联盟“罗素大学集团”核心成员，M5大学联盟成员，国际大学组织“Universitas 21”创始成员，中英大学工程教育与研究联盟成员。
2018/2019年QS世界大学排名位居世界第79位（历年最高62）。在2017年英国官方组织的教学卓越框架（TEF）评估中，居全英第3名 。在TIMES英国大学专业排名 中，物理和天文专业第2，化学工程专业第4，计算机科学专业第5。
（一）Advanced Computer Science 高级计算机科学
入学要求：
A 2:1 Honours degree (or international equivalent) in a relevant subject (eg, Computing or a closely related discipline); plus a solid foundation in programming. Students who have not studied in Engli
sh must pass a recognised English test
学费：24,120
雅思要求：6.5（单项5.5）
课程设置：
必修
Summer Project - 60 credits
选修
120 credits must be chosen, examples of optional modules are listed below:
Complex Adaptive Systems - 20 credits
Computer-Aided Verification (Extended) - 20 credits
Intelligent Robotics (Extended) - 20 credits
Mobile and Ubiquitous Computing (Extended) - 20 credits
Human-Computer Interaction (Extended) - 20 credits
Machine Learning and Intelligent Data Analysis (Extended) - 20 credits
Programming Language Principles, Design, and Implementation (Extended) - 20 credits
Distributed and Parallel Computing (Extended) - 20 credits
Network Security and Cryptography - 20 credits
Research Skills, Evaluation Methods, and Statistics - 20 credits
就业前景：
The term computing covers every kind of digital technology that we use to create, store, communicate, exchange and use information. This makes it the foundation for small and large businesses to build their strategies and grow. It is also the key to making our personal lives easier and more fun: mobile phones, online shopping, social media – we owe them all and a lot more to computer science.
（二）Artificial Intelligence and Machine Learning人工智能与机器学习
学费：24,120
雅思要求：6.0（单项5.5）
课程设置：
Core modules
Artificial Intelligence and Machine Learning Project - 60 credits
Current Topics in Artificial Intelligence and Machine Learning - 20 credits
Mathematical Foundations of Artificial Intelligence and Machine Learning - 20 credits
Optional modules
40-80 credits must be chosen. Example modules:
Complex Adaptive Systems (Extended) - 20 credits
Computer Vision and Imaging (Extended) - 20 credits
Intelligent Robotics (Extended) - 20 credits
Machine Learning and Intelligent Data Analysis (Extended) - 20 credits
Robot Vision - 20 credits
0-40 credits must be chosen. Example modules:
Programming in Python - 20 credits
Research Skills, Evaluation Methods and Statistics - 20 credits
Storing and Managing Data - 20 credits
Visualisation - 20 credits
Please note: The modules listed on the website for this programme are regularly reviewed to ensure they are up-to-date and informed by the latest research and teaching methods.
