兰卡斯特大学数据科学专业 项目网站

Data Science

英国 公立

项目背景

`

更新时间:2024-04-01

专业排名151

大学兰卡斯特大学

开学时间9月

课程学制1年

学费29150.00/GBP

专业介绍

From business and finance to health and medicine, from infrastructure to societal studies, data science plays a vital role in all aspects of the modern world. Our MSc programme will ensure you have an advanced level of skills, knowledge, and experience in this rapidly expanding, highly in-demand field to achieve your career aspirations. Studying for an MSc in Data Science at Lancaster will provide you with the perfect environment to develop an expertise in the discipline. You will develop and consolidate your fundamental skills in both computing and statistics before progressing onto one of our specialist pathways which allow you to acquire and enhance advanced technical skills, while gaining professional knowledge that will support and advance your future career choices. The specialist pathway modules promote both an enhanced understanding of modern data science technologies and confidence in the application of data science within the business intelligence, health, environmental, or societal sectors. These modules are taught by researchers from across the University, who have expertise in the topics relevant to each of the pathways. The fundamentals, followed by pathway structure, enables you to tailor the programme either to suit your current career development needs or to take the opportunity to upskill and take your career in a new direction. In addition to these taught modules, you will also undertake a 12-week placement either within industry or as part of an academic research project. This will provide you with a fantastic opportunity to apply your skills and knowledge to real-world situations and challenges, allowing you to gain valuable professional experience and demonstrate a firm grasp of the discipline. The placement project represents a substantial, independent research project. Supervised by an academic specialist, you will develop your ability to formulate a project plan, gather and analyse data, interpret your results, and present findings in a professional environment. This research will be an opportunity to bring together everything you have learnt over the year, expand your problem-solving abilities and manage a significant project. This will be great experience for you to draw upon in an interview and in your career.

推荐顾问

世界排名

2020年

151

2019年

151

2018年

101

2017年

101

语言要求

类型
雅思
托福
PTE
Listen
6
19
50
Speak
6
19
50
Read
6
19
50
Write
6
22
50
总分
6.5
87
58

学术要求

相关专业(统计,计算机)

课程设置

Core:核心 Data Mining:数据挖掘 Data Science Fundamentals:数据科学基础 MSc Data Science Dissertation:数据科学硕士学位论文 Programming for Data Scientists:数据科学家的编程 Statistical Foundations I:统计基础I Statistical Foundations II:统计基础二 Statistical Fundamentals I:统计基础I Statistical Learning:统计学习 Optional:可选 Applied Data Mining:应用数据挖掘 Bioinformatics:生物信息学 Building Big Data Systems:构建大数据系统 Clinical Trials:临床试验 Distributed Artificial Intelligence:分布式人工智能 Forecasting:预测 Geoinformatics:地理信息学 Groundwater Resources and Protection:地下水资源与保护 Intelligent Data Analysis and Visualisation:智能数据分析和可视化 Methods for Missing Data:缺失数据的方法 Modelling Environmental Processes:环境过程建模 Modelling Multilevel and Longitudinal Data:多层次和纵向数据建模 Optimisation and Heuristics:优化和启发式 Principles of Epidemiology:流行病学原则 Survival and Event History Analysis:生存和事件历史分析 Time-Series :时间序列

申请案例

学生姓名:靳**

毕业学校:北京信息科技大学

本科专业:数据科学与大数据技术

基本背景: 一年级/GPA79.52/100/雅思0

学生姓名:张**

毕业学校:Zhejiang University of Finance & Economics

本科专业:Applied Statistics

基本背景: /GPA77.04/100/雅思0

相关专业