利物浦大学高级计算机科学(带一年实习)专业 项目网站

Advanced Computer Science with a Year in Industry

英国 公立

项目背景

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更新时间:2024-10-31

专业排名301

大学利物浦大学

开学时间9月

课程学制2年

学费30800.00/GBP

专业介绍

To meet the increasing demand for MSc students to have industry experience, we have introduced this new two-year MSc programme. Designed for graduates of the highest calibre the MSc will develop advanced knowledge and skills and give you the opportunity to put your knowledge into practice through valuable work experience during a one year industrial placement. The MSc in Advanced Computer Science is intended for graduates who already have a first degree in Computer Science or a closely related subject, and who wish to extend the knowledge gained in their undergraduate study with more advanced specialised material reflecting current research at the “cutting-edge” of the discipline. 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. The two-year MSc programme shares the same taught modules with its one-year equivalent. However, unlike the one-year MSc which includes an MSc project over the summer, the two-year programme includes an industrial project and placement in year two (either in the UK or overseas). The placement is typically 30 weeks from September to June.

推荐顾问

世界排名

2020年

301

2019年

351

2018年

251

2017年

251

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

专业领域:计算机科学或紧密相关专业。

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 MSc Placement Experience:理学硕士安置经验 MSc Industrial Project:MSc工业项目 Optional modules:可选模块 Knowledge Representation :知识表示 Privacy and Security :隐私和安全 Biocomputation :生物计算 Efficient Algorithms :高效算法 Multi-Core and Multi-Processor Programming :多核和多处理器编程 Geographic Data Science :地理数据科学 Advanced Algorithmic Techniques :高级算法技术 Image Processing :图像处理 Optimisation :优化 Ontologies and Semantic Web:本体和语义网 Algorithmic Game Theory :算法博弈论 Data Mining and Visualisation :数据挖掘和可视化 Information Theory and Coding:信息论与编码 Machine Learning and BioInspired Optimisation:机器学习和生物启发优化 Multi-Agent Systems :多智能体系统 Reasoning About Action and Change :关于行动和变化的推理 Safety and Dependability :安全性和可靠性 Cloud Computing for E-Commerce :面向电子商务的云计算 Web Mapping and Analysis :网络映射与分析 Computational Intelligence:计算智能

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