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利兹大学数据科学与分析硕士专业

Data Science and Analytics MSc

专业排名

201

学制

1年

学费

24500.00英镑/年

雅思

6.5

主页 排名

专业介绍

数据科学和分析硕士课程是一门高度灵活的课程,它提供了开发一系列技能的机会,包括分析结构化和非结构化数据,分析大型数据集,并通过强制和可选模块的结合,对结果进行批判性的评估。通过选择合适的模块,您可以遵循特定的路径,在业务管理、医疗保健或地理信息系统(GIS)中,根据您的背景和需求定制该课程。

移民相关

移民专业:否

就业前景

如何申请

申请费:

申请周期:4-8周

学生评价

测试申请录取成功率

采用最科学的人工智能算法,已为23127位学生申请到dream school,成功率96.33%。
免费测试

入学要求

学位要求:2.1,等同于国内75-80,具体根据学校层次而定
背景要求:相关专业,数学,统计学,经济,工程,物理科学
雅思6.5,单项6
托福92,口语23,写作22,其余21
PTE64,单项60
 

世界排名 数据来源: QS世界排名

201

QS排名

专业课程

1.选修课:

Distributed Systems 10 credits
Machine Learning 10 credits
Information Visualization 10 credits
Big Data Systems 15 credits
Data Management 15 credits
Bio-Inspired Computing 15 credits
Knowledge Representation and Reasoning 15 credits
Systems Programming 15 credits
Algorithms 15 credits
Practical Programming 15 credits
Data Mining and Text Analytics 15 credits
Cloud Computing 15 credits
Semantic Technologies and Applications 15 credits
Image Analysis 15 credits
Scheduling 15 credits
Scientific Computation 15 credits
Graph Theory: Structure and Algorithms 15 credits
Geographic Data Visualisation & Analysis 15 credits
Applied Population and Demographic Analysis 15 credits
Big Data and Consumer Analytics 15 credits
Predictive Analytics 15 credits
Applied GIS and Retail Modelling 15 credits
Effective Decision Making 15 credits
Advanced Management Decision Making 15 credits
Business Analytics and Decision Science 15 credits
Forecasting and Advanced Business Analytics 15 credits
Linear Regression and Robustness 15 credits
Statistical Theory 15 credits
Stochastic Financial Modelling 15 credits
Multivariate Analysis 10 credits
Time Series 10 credits
Bayesian Statistics 10 credits
Generalised Linear Models 10 credits
Introduction to Statistics and DNA 10 credits
Statistical Theory and Methods 15 credits
Statistical Learning 15 credits
Multivariate Methods 15 credits
Multivariate and Cluster Analysis 15 credits
Time Series and Spectral Analysis 15 credits
Bayesian Statistics and Causality 15 credits
Generalised Linear and Additive Models 15 credits
Statistical Computing 15 credits
Statistics and DNA 15 credits
Informatics in Health Care 15 credits
Process Modelling, Benefits and Change 15 credits
Clinical Knowledge Management and Decision Support Systems 15 credits
Mobile Health 15 credits

2.必修课:


Data Science 15 credits
Learning Skills through Case Studies 15 credits
Dissertation in Data Science and Analytics 60 credits

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