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29900.00/GBP
专业介绍
This programme will help you develop professionally in the theory and practice of statistics and operational research (OR), providing the foundations for a successful career. This programme will prepare you for work in areas such as the medical and health industry, government, the financial sector and any other area where modern statistical tools and OR techniques are used. You will also develop the wider skills required for solving problems, working in teams and time management. You will be able to identify appropriate statistical or operational techniques, which can be applied to practical problems, and will acquire extensive skills in modelling using the packages R for Statistics and Arena for simulation.
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语言要求
Write
6
20
59
总分
6.5
92
62
学术要求
专业领域:numerate类专业如数学、工程学、计算机科学、物理或生物科学、经济学或商学。 科目:足够的数学科目微积分(包括多变量微积分)、线性代数、概率论、统计学和统计理论。
课程设置
Compulsory courses 必修课 Fundamentals of Operational Research:运筹学基础 Fundamentals of Optimization:优化基础 Methodology, Modelling and Consulting Skills:方法论、建模和咨询技能 Simulation:仿真 Bayesian Theory:贝叶斯理论 Statistical Programming:统计规划 Generalised Regression Models:广义回归模型 Statistical Research Skills:统计研究技能 Dissertation (Stats. Op. Res.):论文 (Stats. Op. Res.) Optional courses 选修课 Theory of Statistical Inference:统计推断理论 Statistical Methodology:统计方法 Stochastic Modelling:随机建模 Python Programming:Python编程 Methods for Causal Inference:因果推断的方法 Multivariate Data Analysis:多变量数据分析 Time Series:时间序列 Large Scale Optimization for Data Science:数据科学的大规模优化 Credit Scoring:信用评分 Bayesian Data Analysis:贝叶斯数据分析 Topics in Applied Operational Research:应用运筹学中的课题 Incomplete Data Analysis:数据分析不完全 Risk and Logistics:风险与物流 Integer and Combinatorial Optimization:整数和组合优化 Operational Research in the Energy Industry:能源行业的运筹学 Machine Learning in Python:Python中的机器学习 Biostatistics:生物统计学 Targeted Causal Learning:有针对性的因果学习