项目背景
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更新时间:2024-07-08
开学时间9月
课程学制1年
学费29472.00/GBP
专业介绍
The Complex Systems Modelling – from Biomedical & Natural to Economic & Social Sciences MSc course will teach you to apply mathematical techniques in the rapidly developing and exciting interdisciplinary field of complex systems and examine how they apply to a variety of areas including biomedicine, nature, economics and social sciences. This research-led course is suitable for graduates who wish to work in research and development in an academic or industrial environment.
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语言要求
Write
6.5
25
62
总分
7
100
69
学术要求
专业领域:应用数学或物理。纯数学专业和quantitative类专业也可考虑。
先修科目:多元微积分,线性代数,偏微分方程,概率统计。
课程设置
Required modules:所需模块 Theory of Complex Networks credits: 复杂网络理论学分 Research Methods Advanced Topics in Complex Systems credits: 研究方法复杂系统学分中的高级主题 Individual Project credits: 单个项目学分 Foundations for Complex Systems Modelling Cross Disciplinary Approaches to Non Equilibrium Systems credits: 复杂系统建模基础非平衡系统学分的跨学科方法 Optional modules: 可选模块 Stochastic Processes and Applications credits: 随机过程和应用学分 Mathematical Biology credits: 数学生物学学分 Mathematical Aspects of Statistical Mechanics credits: 统计力学的数学方面学分 Bio Nanomaterials in the Virtual Lab credits: 虚拟实验室中的生物纳米材料学分 Modelling Quantum Many body Systems credits: 建模量子多体系统学分 Probability Theory credits: 概率论学分 Risk Neutral Valuation Pricing and Hedging Derivatives credits: 风险中性估值定价和对冲衍生品学分 Financial Markets credits: 金融市场学分 Stochastic Analysis credits: 随机分析学分 Statistics in Finance credits: 金融学分统计 Numerical and Computational Methods in Finance credits: 金融学分的数值和计算方法 Interest Rates and Credit Risk credits: 利率和信用风险学分 Incomplete Markets credits: 不完全市场学分 C for Financial Mathematics credits: 金融数学学分 Machine Learning credits: 机器学习学分 Econophysics credits: 经济物理学分 Pattern Recognition Neural Networks Deep Learning credits: 模式识别神经网络深度学习学分 Advanced Volatility Models and Path Dependent Options credits: 高级波动率模型和路径依赖期权信用