商科专业高薪、易就业、发展前景广阔，因此，一直都是学生和家长十分热衷选择的留学专业。而英国是许多商业帝国的发源地，其首都伦敦是欧洲乃至世界的重要金融中心，在浓厚氛围影响下，英国大学的商科教育也颇有特色，形成了重视实践、强调市场、紧跟潮流的独特教育模式。但随着社会经济的发展，商科+大数据才是王道，下面就为大家介绍KCL商科与数据科学相关专业录取要求。

图源：伦敦国王学院微博

　　专业1：Banking & Finance MSc 银行与金融

　　课程设置：

　　Structure

　　Required modules

　　You are required to take:

　　Quantitative Methods in Finance (15 credits)

　　Investments (15 credits)

　　Commercial & Investment Finance (15 credits)

　　Financial Statement Analysis

　　Financial Derivatives (15 credits)

　　Dissertation (60 Credits)

　　Optional modules

　　In addition, you are required to take 45 credits from a range of optional modules, which may typically include:

　　Asset Pricing (15 credits)

　　Empirical Finance (15 credits)

　　Applied Risk Management for Banking (15 credits)

　　Financial Econometrics (15 credits)

　　Corporate Finance (15 credits)

　　Empirical Macroeconomics (15 credits)

　　Financial Regulation and Governance (15 credits)

　　Topics in Applied Finance (15 credits)

　　Behavioural Finance (15 credits)

　　Wealth Management (15 credits)

　　International Finance (15 credits)

　　Financial Engineering (15 credits)

　　Portfolio Management (15 credits)

　　Credit Ratings (15 credits)

　　Computational Finance (15 credits)

　　您需要：

　　金融量化方法(15学分)

　　投资(15学分)

　　商业和投资金融(15学分)

　　财务报表分析

　　金融衍生品(15学分)

　　学位论文(60学分)

　　可选模块

　　此外，您还需要从一系列可选模块中获得45个学分，这些模块通常包括：

　　资产定价(15学分)

　　经验金融学(15学分)

　　银行业应用风险管理(15学分)

　　金融计量经济学(15学分)

　　公司财务(15学分)

　　经验宏观经济学(15学分)

　　金融监管和治理(15学分)

　　应用金融学专题(15学分)

　　行为金融学(15学分)

　　财富管理(15学分)

　　国际金融(15学分)

　　金融工程(15学分)

　　投资组合管理(15学分)

　　信用评级(15学分)

　　计算金融学(15学分)

　　本科均分88%，背景是社科类如管理学，经济学，金融或其他学科。要求数理背景，有金融或经济学量化背景。

　　Award of Bachelor degree with an average score of 88% as evidenced by a Bachelor Degree Certificate and Final Transcripts (with official English translations).

　　Undergraduate degree with high 2:1 honours (i.e. overall average of at least 65% across all years of study) required in a social science related area (e.g. management, economics, finance or other relevant subject) or equivalent overseas qualification. Our programme is most suitable if you have some quantitative background in either finance and/or economics or have a degree with some quantitative elements.

　　International:

　　Full time: £35,500 per year (2022/23)

　　English language requirements

　　English language band:

　　B

　　IELTS (Academic)7.0 overall with a minimum of 6.5 in each skill

　　International:

　　Full time: £35,500 per year (2022/23)

　　专业2：Data Science MSc

　　课程设置：

　　Required modules

　　You are required to take:

　　Computer Programming for Data Scientists (15 credits) or Big Data Technologies (15 credits)

　　Databases, Data Warehousing & Information Retrieval (15 credits)

　　Statistics for Data Analysis (15 credits) or Elements of Statistical Learning (15 credits) or Statistics in Finance (15 credits)

　　Data Mining (15 credits)

　　Individual Project (60 credits)

　　Computer Programming for Data Scientists and Statistics for Data Analysis are required modules unless you have extensive prior knowledge of python programming or statistics, in which case the required module can be replaced as listed in the relevant bullet points above.

　　Optional modules

　　You are required to take 60 credits from a range of optional modules, which may typically include:

　　Elements of Statistical Learning (15 credits)

　　Statistics in Finance (15 credits)

　　Agents & Multi-Agent Systems (15 credits)

　　Nature-Inspired Learning Algorithms (15 credits)

　　Pattern Recognition, Neural Networks & Deep Learning (15 credits)

　　Network Theory (15 credits)

　　Big Data Technologies (15 credits)

　　Computer Vision (15 credits)

　　Telling Stories with Data (15 credits)

　　Armchair Intelligence: Open Sources & Online Investigation (15 credits)

　　Theorising Big Data (15 credits)

　　必修模块

　　数据科学家计算机编程(15学分)或大数据技术(15学分)

　　数据库、数据仓库和信息检索(15学分)

　　数据分析统计(15学分)或统计学习要素(15学分)或金融统计(15学分)

　　数据挖掘(15学分)

　　单个项目(60学分)

　　数据科学家的计算机编程和数据分析的统计是必需的模块，除非您对python编程或统计有广泛的先验知识，在这种情况下，可以按照上面的相关要点中所列替换必需的模块。

　　可选模块

　　您需要从一系列可选模块中获得60学分，这些模块通常包括：

　　统计学习要素(15学分)

　　金融统计(15学分)

　　代理和多代理系统(15学分)

　　自然启发学习算法(15学分)

　　模式识别、神经网络与深度学习(15学分)

　　网络理论(15学分)

　　大数据技术(15学分)

　　计算机视觉(15学分)

　　用数据讲述故事(15学分)

　　纸上谈兵的情报：开源与在线调查(15学分)

　　大数据理论化(15学分)

　　背景是数学，统计学，物理学，自然科学，电子工程，通用工程，运营研究或两者结合类学科，要求有坚实的数学基础，如有以下课程：微积分、三角、线性代数、向量和矩阵数学，要求在计算机编程有竞争力，第一学位是计算机专业的优先考虑。均分要求88%。雅思直录7.0(6.5)

　　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.

　　China Bachelor degree from recognised institutions:

　　Award of Bachelor degree with an average score of 88% as evidenced by a Bachelor Degree Certificate and Final Transcripts (with official English translations).

　　Full time: £29,310 per year (2022/23)

　　专业3：Applied Statistical Modelling & Health Informatics MSc 应用统计模型与健康信息

　　Required modules

　　You are required to take:

　　MSc

　　Introduction to Statistical Modelling (15 credits)

　　Introduction to Statistical Programming (15 credits)

　　Introduction to Health Informatics (15 credits)

　　ASMHI Research Project (60 Credits/For MSc only)

　　Optional modules

　　MSc= Students will take up to five modules from a range of optional modules for this course. PG Cert=Students will take two from a range of optional modules for this course. PGDip= Students will take five modules from a range of optional modules for this course. We will use a delivery method that will ensure students have a rich, exciting experience from the start. Face-to-face teaching will be complemented and supported with innovative technology so that students also experience elements of digital learning and assessment. King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates.

　　Multilevel and Longitudinal Modelling (15 credits)

　　Prediction Modelling (15 credits)

　　Causal Modelling and Evaluation (15 credits)

　　Machine Learning for Health and Bioinformatics (15 credits)

　　Clinical trials: A practical approach (15 credits)

　　Natural Language Processing (NLP) (15 credits)

　　Contemporary Psychometrics (15 credits)

　　Introduction to Computational Neuroscience (15 credits)

　　Structural Equation Modelling (SEM) (15 credits)

　　Artificial Intelligence in Health Analytics (15 Credits)

　　Bioinformatics, Interpretation and Data Quality in Genome Analysis (15 Credits)

　　Advanced Bioinformatics: Practical Bioinformatics Data Skills (15 Credits)

　　所需模块

　　您需要：

　　理学硕士

　　统计建模导论(15学分)

　　统计规划导论(15学分)

　　健康信息学导论(15学分)

　　阿斯米研究项目(60学分/仅理学硕士)

　　可选模块

　　多层次和纵向建模(15学分)

　　预测建模(15学分)

　　因果建模与评估(15学分)

　　健康和生物信息学机器学习(15学分)

　　临床试验：实用方法(15学分)

　　自然语言处理(NLP)(15学分)

　　当代心理测量学(15学分)

　　计算神经科学导论(15学分)

　　结构方程建模(SEM)(15学分)

　　健康分析中的人工智能(15学分)

　　基因组分析中的生物信息学、解释和数据质量(15学分)

　　高级生物信息学：实用生物信息学数据技能(15学分)

　　录取要求：本科背景是计算机科学，数学，统计学，物理学，自然科学，电子工程，心理学，地理信息系统。均分85%。雅思直录7.0(6.5)

　　from recognised institutions:

　　Award of Bachelor degree with an average score of 85% as evidenced by a Bachelor Degree Certificate and Final Transcripts (with official English translations).

　　A bachelor’s degree with 2:1 honours in Computer Science, Mathematics, Statistics, Physics, Natural Sciences, Electronic Engineering, Psychology or Geographic Information Systems. In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.

　　Candidates who achieved a 2:2 in their undergraduate degree will need to support their application with a one page personal statement and an academic reference addressing their academic and relevant professional achievement.

　　International:

　　Full time: £32,940 per year (MSc, 2022/23)

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