诺丁汉大学数据科学专业 项目网站

Data Science

英国 公立

项目背景

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更新时间:2024-04-28

专业排名201

大学诺丁汉大学

开学时间9月

课程学制1年

学费28600.00/GBP

专业介绍

Big data is playing an increasingly important role in our society. The need for expert and ethical data analysis is in high demand across many industries. This course gives you the professional and problem-solving skills for a range of high-level careers. This interdisciplinary masters will be taught by the Schools of Computer Science and Mathematical Sciences. Our academics conduct their own international-quality research. They use this to teach you the latest techniques and technologies in this field. Develop your knowledge in key topics such as statistical modelling, machine learning and advanced algorithms. We offer a range of flexible optional modules. This allows you to study a topic that interests you. You will undertake an individual research project in an area of your choice. This can be with industry partners or with one of our expert research groups. Past projects have included: Development of location-based service for education UK precipitation forecasting The effect of virtual audiences on music performance anxiety

推荐顾问

世界排名

2020年

201

2019年

201

2018年

151

2017年

151

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

相关专业(需通过之前的课程学习经历或实践经历展示出对programming或统计学的爱好);其他包含strong数学和/或计算机内容的专业也可以个案评估(专业科目均分达到2.1)

课程设置

Compulsory courses:必修课程 Machine Learning:机器学习 Advanced Algorithms and Data Structures:高级算法和数据结构 Computer Vision:计算机视觉 Simulation and Optimisation for Decision Support:决策支持的仿真和优化 Data Science with Machine Learning:具有机器学习的数据科学 Linear and Discrete Optimisation:线性和离散优化 Handling Uncertainty with Fuzzy Sets and Fuzzy SystemsFundamentals of Information VisualisationBig Data Learning and TechnologiesInformation Visualisation Project:用模糊集和模糊系统处理不确定性信息可视化基础大数据学习和技术信息可视化项目 Designing Intelligent Agents:设计智能代理 Optional courses:可选课程 Data Science with Machine Learning:具有机器学习的数据科学 Computer Vision:计算机视觉 Machine Learning:机器学习 Simulation and Optimisation for Decision Support:决策支持的仿真和优化 Databases, Interfaces and Software Design Principles:数据库、接口和软件设计原则 Handling Uncertainty with Fuzzy Sets and Fuzzy Systems:用模糊集和模糊系统处理不确定性 Fundamentals of Information Visualisation:信息可视化基础 Big Data Learning and Technologies:大数据学习和技术 Information Visualisation Project:信息可视化项目 Designing Intelligent Agents:设计智能代理

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