利物浦大学大数据与高性能计算专业 项目网站

Big Data and High Performance Computing

英国 公立 计算机

项目背景

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更新时间:2024-04-01

专业排名N/A

大学利物浦大学

开学时间9月

课程学制1年

学费28000.00/GBP

专业介绍

The MSc Big Data and High Performance Computing provides students with an in-depth understanding of big data analysis and processing using high performance computing technology. This MSc programme enables students to gain a sought after qualification in areas of computing in great demand worldwide. Accredited by the British Computer Society, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional. Big data is commonly described as data that is so large that it cannot be readily processed using standard techniques. Our current global ability to collect data is such that “big data” sets are becoming common-place. The most obvious example of this is the exponential growth of the World Wide Web; however there are many public and private enterprises where the analysis of large-scale data sets is critical to growth. Although significant computer power exists, the necessary skills-base is lagging behind the technology. There is an employment gap looming in the field of big data, especially in the context of the skills required with respect to the application of High Performance Computing (HPC) capabilities to address big data problems. The MSc Big Data and High Performance Computing programme is designed to address this skills gap and provide those completing the programme with the ability to efficiently address big data and HPC challenges. Together with our growing industrial contact and engagements, this places our graduates in a prime position for future employment.

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语言要求

类型
雅思
托福
PTE
Listen
5.5
17
59
Speak
5.5
19
59
Read
5.5
17
59
Write
5.5
17
59
总分
6.5
88
61

学术要求

计算机科学,软件工程或其他与计算机紧密相关的专业

课程设置

Compulsory modules:必修模块 Research Methods in Computer Science :计算机科学的研究方法 Multi-Core and Multi-Processor Programming:多核和多处理器编程 Big Data Analytics:大数据分析 Data Mining and Visualisation :数据挖掘和可视化 MSc Group Project:MSc集团项目 Optional modules:可选模块 Efficient Algorithms :高效算法 Optimisation:优化 Machine Learning and BioInspired Optimisation :机器学习和生物启发优化 Safety and Dependability :安全性和可靠性 Reasoning About Action and Change :关于行动和变化的推理 Algorithmic Game Theory:算法博弈论