英国数据分析硕士方案推荐

帝国理工学院

MSc Statistics (Data Science) 统计学（数据科学）

托福成绩要求：总分92 各单项不低于20分

入学要求：

本科：统计，数学，工程，物理相关专业GPA3.8及以上

课程设置：

Applie Statistics应用统计学

Computational Statistics计算统计数据

Funamentals of Statistical Inference统计推理基础

Probability for Statistics概率统计

选修课：

Group 1 (5 ECTS creits each)第一组每门课5学分

You choose at least three moules from Group 1.从如下选择最少3门选修课

Avance Statistical Finance高级统计金融

Avance Statistical Theory高级统计原理

Bayesian Methos贝叶斯方法

Big Data大数据

Biomeical Statistics生物医学统计

Data Science I: Data大数据I：数据

Data Science II: Science大数据II：数据

Graphical Moels图形模型

Introuction to Statistical Finance金融统计概述

Machine Learning机器学习

Multivariate Analysis多元统计

Non-Parametric Smoothing an Wavelets非参数平滑和小波

Statistical Genetics an Bioinformatics统计遗传学与生物信息学

UCL伦敦大学学院

MSc Data Science 数据科学

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入学要求：

Entry requirements

A minimum of an upper secon-class Bachelor's egree in a quantitative iscipline from a UK university or an overseas qualification of an equivalent stanar. Knowlege of mathematical methos an linear algebra at university level an familiarity with introuctory probability, statistics an computer programming is require. Relevant professional experience will also be taken into consieration.

本科计算类课程本科，均分GPA要求3.5及以上

托福要求：总分100，阅读写作24分以上，口语听力 20分以上

课程设置：

Introuction to Statistical Data Science统计数据科学导论

Introuction to Machine Learning机器学习概论

Statistical Design of Investigations调查的统计设计

Statistical Computing统计计算

Optional moules选修课

•At least two from a choice of Statistical Science moules incluing:从如下课程选择最少2门

•Applie Bayesian Methos应用贝叶斯方法

•Decision & Risk风险与决策

•Factorial Experimentation 析因实验

•Forecasting预测

•Quantitative Moelling of Operational Risk an Insurance Analytics运营风险与保险分析计量模型

•Selecte Topics in Statistics统计中的选定主题

•Stochastic Methos in Finance I金融随机方法I

•Stochastic Methos in Finance II金融随机方法II

•Stochastic Systems随机系统

•Up to two from a choice of Computer Science moules incluing:如下计算机相关专业选择2门专业

•Affective Computing an Human-Robot Interaction情感与计算机人机交互

•Graphical Moels图形模型

•Statistical Natural Language Processing统计自然语言处理

•Information Retrieval & Data Mining信息检索与数据挖掘

UCL伦敦大学学院

MSc Data Science (International) 数据科学（国际）

入学要求：

Entry requirements

A minimum of an upper secon-class Bachelor's egree in a quantitative iscipline from a recognise UK university or a non-UK qualification of an equivalent stanar in a relevant iscipline typically in the fiels of mathematics or computer science. Stuents shoul be comfotable with a high level of programming in a language such as Python.

本科计算类专业。GPA要求3.5及以上

托福要求：总分100，阅读写作24分以上，口语听力 20分以上

课程设置：

trouction to Deep Learning (15 creits / 4.5 units) UCL深度学习概论(15学分/ 4.5单元)UCL

Introuction to Machine Learning (15 creits / 4.5 units) UCL机器学习导论(15学分/ 4.5单元

Applie Machine Learning (15 creits / 4.5 units) UCL应用机器学习(15学分/ 4.5单元

Data Analytics (15 creits / 4.5 units) UCL数据分析(15学分/ 4.5单元

Statistical Programming for Data Science (15 creits / 4.5 units) UniSA数据科学统计编程(15学分/ 4.5单元

Unsupervise Methos in Analytics (15 creits / 4.5 units) UniSA分析中的无监督方法(15学分/ 4.5单元

ITMS Masters Minor Thesis 1 (30 creits / 9 units) UniSA ITMS硕士辅修论文1(30学分/ 9单元

ITMS Masters Minor Thesis 2 (30 creits / 9 units) UniSA ITMS硕士辅修论文2

曼彻斯特大学

MSc Data Science 数据科学

入学要求：high 2:1 honours egree (or overseas equivalent)

GPA要求3.5及以上

托福要求：总分100各单项不低于26

课程设置：Course unit etails主修课

Through a set of core units, you will evelop a set of key ata science skills.

通过如下课程设置，将提升你数据科学相关专业知识

The core units are:主修课

Machine Learning an Statistics (both semesters);统计与机器学习（整个学期）

Unerstaning Databases;了解数据库

Unerstaning Data an their Environment;了解数据与数据环境

Applications in Data Science.数据科学应用

There are five pathways through the course:如下五个方向选择

Applie Urban Analytics;应用城市分析

Computer Science Data Informatics;数据科学与数据信息

Management an Business;商务管理

Mathematics;数学

Social Analytics.社交分析

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