卡迪夫大学高级计算机科学(含专业实习年)专业 项目网站

Advanced Computer Science with a Professional Placement Year

英国 公立

项目背景

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更新时间:2024-01-15

专业排名251

大学卡迪夫大学

开学时间9月

课程学制2年

学费24950.00/GBP

专业介绍

The ‘with a Professional Placement Year’ programme provides the opportunity to undertake a 7-10 month experience as an IT professional for students who successfully find a suitable placement. The MSc Advanced Computer Science with a Professional Placement Year will offer you exposure to key topics that are driving emerging technological developments and trends. Computer Science is one of the fastest moving academic disciplines and the outcomes of research and innovation in this field are likely to have a significant social impact. The subject spans all aspects of modern life, and this programme offers you the opportunity to apply new skills and advanced techniques to the area of your choice, whilst allowing you to demonstrate that you are at the forefront of your discipline. Core to this programme is the opportunity to further develop the scope of your problem solving skills by studying advanced programming languages and programming paradigms, and to gain knowledge and skills across a breadth of topics in Computer Science. You will choose to study optional, research-led modules that allow the freedom to build a distinctive personal portfolio of skills and knowledge. This is a specialist Masters degree programme which will require strong technical, mathematical and programming skills from day one of the course. You will apply for a paid 7-12 month professional work placement to be undertaken on completion of the taught phase of the program. This provides valuable work experience to develop your IT Professional skills.

推荐顾问

世界排名

2020年

251

2019年

251

2018年

251

2017年

201

语言要求

类型
雅思
托福
PTE
Listen
5.5
17
59
Speak
5.5
20
59
Read
5.5
18
59
Write
5.5
17
59
总分
6.5
90
69

学术要求

相关专业如计算机科学,computing或同源专业。

课程设置

Core courses:核心课程 Programming Paradigms:编程范例 Placement:放置 Dissertation:论文 Optional courses:可选课程 Visual Computing:视觉计算 Cyber Security and Risk Management:网络安全和风险管理 Knowledge Representation:知识表示 Penetration Testing and Malware Analysis:渗透测试和恶意软件分析 Distributed and Cloud Computing:分布式和云计算 Automated Reasoning:自动推理 Computer and Network Forensics:计算机和网络取证 Internet of Things: Systems Design:物联网: 系统设计 Social Computing:社会计算 Developing Secure Systems and Applications:开发安全系统和应用程序 Principles of Machine Learning:机器学习原理 Applications of Machine Learning: Natural Language Processing/Computer Vision:机器学习的应用: 自然语言处理/计算机视觉

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