基本信息
2025无忧留学录取捷报
恭喜陈同学在英国留学申请中获得
利兹大学
MSC Data Science and Analytics
录取offer!

学生背景
院校背景:211院校
专业背景:统计学
学术成绩:均分80
语言成绩:雅思6.5
申请顾问
无忧留学北京分部资深顾问朱老师

专业介绍

我们被数据所环绕。从最简单的零售交易,到数以百万计的人复杂且私密的医疗记录,我们每天收集和存储的数据种类与数量都在不断增加。
如今,社会对能够管理、把控数据,并能深入洞察数据使用方式的人才需求日益增长。这类人才不仅需要掌握计算机科学和数学知识,还要熟悉医疗保健、商业、政府以及环境等众多不同领域的数据需求和流程。
我们的数据科学与分析硕士课程,为你提供了培养一系列相关技能的机会,这些技能包括:
• 分析结构化和非结构化数据
• 分析大型数据集
• 结合具体情境对结果进行批判性评估
• 从数据中获取洞察见解
该课程融合了计算机学院、地理学院、数学学院以及利兹大学商学院的专业知识。
这种跨学院合作使你能够受益于多种数据科学视角和应用,还能让你根据自身职业抱负定制课程。
✍课程设置:
必修课:
Data Science –15 credits
Learning Skills through Case Studies –15 credits
Dissertation in Data Science and Analytics – 60 credits
选修课:
• Information Visualization – 10 credits
• Knowledge Representation and Reasoning – 15 credits
• Machine Learning – 15 credits
• Deep Learning – 15 credits
• Programming for Data Science – 15 credits
• Data Mining and Text Analytics – 15 credits
• Geographic Data Visualisation & Analysis – 15 credits
• Geodemographics and Neighbourhood Analysis – 15 credits
• Big Data and Consumer Analytics – 15 credits
• Predictive Analytics – 15 credits
• Applied GIS and Retail Modelling – 15 credits
• Business Analytics and Decision Science – 15 credits
• Forecasting and Advanced Business Analytics – 15 credits
• Machine Learning in Practice – 15 credits
• Mixed Models – 10 credits
• Linear Regression and Robustness – 15 credits
• Statistical Theory – 15 credits
• Time Series – 10 credits
• Generalized Linear Models – 10 credits
• Mixed Models with Medical Applications – 15 credits
• Linear Regression and Robustness and Smoothing – 20 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
• Generalised Linear and Additive Models – 15 credits
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