项目背景
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更新时间:2024-09-25
开学时间9月
课程学制1年
学费33500.00/GBP
专业介绍
In the first semester you will learn the core fundamentals of data analytics, machine learning and the statistics of data analysis, together with some of the relevant technology. You will then choose from module options which explore financial, business and scientific applications; such as in trading and risk systems, optimisation of business processes, and relationships across complex systems.
You may choose to focus your studies in one of three areas: focusing on the statistical foundations, financial or scientific applications of data science.
Over the summer you will work on a research project which will allow you to develop strong applied data science research skills.
You do not need to be a programming expert before you join us. You will explore a variety of industry-standard tools (such as R and Python), which will allow you to choose which technologies you want to specialise in.
推荐顾问
世界排名
语言要求
Write
6
21
65
总分
6.5
92
71
学术要求
专业领域:包含大量数学科目的专业如数学,统计,物理,工程,计算机,经济。
课程设置
Compulsory/Core modules:必修/核心模块
Storing, Manipulating and Visualising Data:存储、操作和可视化数据
Machine Learning with Python:用Python进行机器学习
Probability and Statistics for Data Analytics:数据分析的概率和统计
Project Dissertation:项目论文
Elective modules:选修模块
Topics in Scientific Computing:科学计算主题
Financial Data Analytics:财务数据分析
Advanced Machine Learning:高级机器学习
Neural Networks and Deep Learning:神经网络与深度学习
Programming in Python:用Python编程
Graphs and Networks:图形和网络
Optimisation for Business Processes:优化业务流程
SAS for Business Intelligence:面向商业智能的SAS
Time Series:时间序列
Computational Statistics with R:R的计算统计
Bayesian Statistics:贝叶斯统计