诺丁汉大学计算机科学或计算机科学(人工智能)2年专业 项目网站

Computer Science or Computer Science (Artificial Intelligence) pathway (2 year)

英国 公立 计算机

项目背景

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更新时间:2024-04-28

专业排名N/A

大学诺丁汉大学

开学时间9月

课程学制2年

学费19067.00/GBP

专业介绍

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 cybersecurity are changing how we live, work, and socialise. This two-year masters provides a more in-depth study of taught modules with a full-year research project. Taught modules in your first year will develop your knowledge in key topics such as user experience design, artificial intelligence, and data analysis. Optional modules allow you to to study specialist areas, including machine learning, cyber security and autonomous robotics. In your second-year research project, you will get the opportunity to work with an industry partner to build your experience and connections. You can also choose to work with one of our 'world-leading' research groups. Previous projects have included: Deep Learning for Plant Phenotyping Automated algorithm design A mobile application to prevent and cure obesity 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)’. No computer programming experience is needed

推荐顾问

语言要求

类型
雅思
托福
PTE
Listen
6
19
65
Speak
6
22
65
Read
6
20
65
Write
6
19
65
总分
6.5
90
71

学术要求

任何专业(需通过之前的课程学习经历或实践经历展示出对programming爱好)

课程设置

Core:核心 Research Methods:研究方法 Programming:编程 Systems and Networks:系统和网络 Databases,Interfaces and Software Design Principles:数据库、接口和软件设计原则 Autonomous Robotic Systems:自主机器人系统 Data Science with Machine Learning:具有机器学习的数据科学 Handling Uncertainty with Fuzzy Sets and Fuzzy Systems:用模糊集和模糊系统处理不确定性 Simulation and Optimisation for Decision Support:决策支持的仿真和优化 Linear and Discrete Optimisation:线性和离散优化 Big Data Learning and Technologies:大数据学习和技术 Optional modules:可选模块 Data Science with Machine Learning:具有机器学习的数据科学 Mixed Reality:混合现实 Advanced Algorithms and Data Structures:高级算法和数据结构 Advanced Computer Networks:先进的计算机网络 Autonomous Robotic Systems:自主机器人系统 Project in Advanced Algorithms and Data Structures:高级算法和数据结构项目 Linear and Discrete Optimisation:线性和离散优化 Simulation and Optimisation for Decision Support:决策支持的仿真和优化 Games:游戏 Handling Uncertainty with Fuzzy Sets and Fuzzy Systems:用模糊集和模糊系统处理不确定性 Malware Analysis:恶意软件分析 Big Data Learning and Technologies:大数据学习和技术 Cyber Security:网络安全