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學生背景信息
Z同學，中南大學，計算機學院，軟體工程專業，均分86.83
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錄取信一覽
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錄取項目介紹
King's College London--Date Science MSc
Key Benefits 項目優勢
6th in the UK for Computer Science (QS World Rankings by subject 2020).
計算機科學在英國排名第六(QS世界學科排名2020)。
92% of research outputs ranked as world leading or internationally excellent in Computer Science (REF 2014).
92%的研究成果在計算機科學領域排名世界領先或國際優秀(REF 2014)。
Friendly and supportive learning environment, with students from across the globe.
優越的學習環境，以及與來自世界各地的學生共同學習。
Located in central London, giving you easy access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS) and the Institution of Engineering and Technology (IET).
位於倫敦市中心，您可以方便地訪問各大圖書館和領先的科學學會，包括特許IT學會(BCS)和工程技術學會(IET)。
Course Details 課程詳述
You will gain an in-depth understanding of the general principles of the computational and statistical approaches and methods used in data science, as well as their underlying assumptions and limitations
您將深入了解數據科學中使用的計算和統計方法的一般原理，以及它們潛在的假設和限制。
Rooted in the renowned research strengths of the Department of Informatics, this course enables you to study a wide variety of topics in advanced computing while allowing you to specialise through your choice of modules. You will learn advanced practical techniques and implementation skills for solving complex computational problems.
基於信息學系著名的研究實力，本課程使您能夠研究各種各樣的高級計算主題，同時允許您通過您選擇的課程實現專業化學習。您將學習解決複雜計算問題的高級實用技術和執行技能。
We use lectures, seminars and group tutorials to deliver most of the modules on the course. You will also be expected to undertake a significant amount of independent study.You are expected to spend approximately 10 hours work per credit for each module you attend in your degree, e.g. 150 hours work for a 15-credit module. These hours cover every aspect of the module.
我們使用講座、研討會和小組教程來提供本課程的大部分模塊。你還需要進行大量的獨立學習。你需要為你的學位上的每個模塊花費大約10個小時的學習時間，例如，150個小時的學習時間為15個學分的模塊。這些時間涵蓋了模塊的每個方面。
The primary method of assessment for this course is a combination of written examinations, coursework, in-class tests, individual projects and oral presentations. The individual project will be assessed through a dissertation.
本課程的主要評估方法是結合書面考試、課程作業、課堂測試、個人項目和口頭報告。個人項目將通過論文進行評估。
Required Courses 必修課
Computer Programming for Data Scientists (15 credits) or Big Data Technologies (15 credits)
數據科學家計算機編程(15學分)或大數據技術(15學分)
Databases, Data Warehousing & Information Retrieval (15 credits)
資料庫、數據倉儲與信息檢索(15學分)
Statistics for Data Analysis (15 credits)or Elements of Statistical Learning (15 credits) or Statistics in Finance (15 credits)
數據分析統計學(15學分)，或統計學習要素(15學分)，或金融統計學(15學分)
Data Mining (15 credits)
數據挖掘（15學分）
Individual Project (60 credits)
個人項目（60學分）
Optional Modules 選修課程
You are required to take 60 credits from a range of optional modules, which may typically include:
你需要從一系列選修課程中獲得60個學分，這些選修課程通常包括:
Elements of Statistical Learning (15 credits)
統計學習要素(15學分)
Statistics in Finance (15 credits)
金融學統計學(15學分)
Agents & Multi-Agent Systems (15 credits)
代理與多代理系統(15學分)
Nature-Inspired Learning Algorithms (15 credits)
自然啟發學習算法(15學分)
Pattern Recognition, Neural Networks & Deep Learning (15 credits)
模式識別，神經網絡和深度學習(15學分)
Network Theory (15 credits)
網絡理論(15學分)
Big Data Technologies (15 credits)
大數據技術(15學分)
Simulation & Data Visualisation (15 credits)
模擬與數據可視化(15學分)
Computer Vision (15 credits)
計算機視覺(15學分)
Telling Stories with Data (15 credits)
用數據講故事(15學分)
Armchair Intelligence: Open Sources & Online Investigation (15 credits)
扶手椅情報:開放資源和在線調查(15學分)
Theorising Big Data (15 credits)
大數據理論(15學分)
Requirements 申請要求
Minimun Requirements 最低要求
A Bachelor's degree with a high (minimum of 65%) 2:1 honours (or international equivalent) in Computer Science or another relevant quantitative discipline (such as Mathematics, Statistics, Physics, Natural Science, Electronic Engineering, General Engineering, Operations Research, or a joint degree in two such subjects). Applicants should also have a sound background in basic mathematics, in particular familiarity with standard concepts of calculus, trigonometry, linear algebra, vectors and matrix mathematics. In addition, applicants should be competent in computer programming, close to the level expected at the end of the first year of a BSc honours degree in computer science.
計算機科學或其他相關定量學科(如數學、統計學、物理學、自然科學、電子工程、通用工程、運籌學，或以上兩個學科的聯合學位)的2:1榮譽學士學位(或國際同等學位)。申請人也應該有良好的基礎數學背景，特別是熟悉微積分、三角、線性代數、向量和矩陣數學的標準概念。此外，申請人應具備計算機編程能力，接近計算機科學學士榮譽學位第一年結束時的預期水平。
語言要求
IELTS(Academic): 6.5 overall with a minimum of 6.0 in each skill
總分6.5，小分項不低於6.0
TOEFL iBT: 92 overall with a minimum of 23 in writing and 20 in each of the other skills
總分不低於92，寫作項不低於23，其餘各項不低於20.
Person Test of English (Academic): 62 overall with a minimum of 59 in each communicative skill.
總分62，各項分不低於59.
學費
Full time overseas fees: 27,900 per year (2021/22)
海外學生全日制學費：每年27900英鎊（2021/22）