国际学生入学条件
Minimum requirements 2:1 undergraduate degree. Students need to have an IELTS overall score of 7.0 minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above. Students need to have: Overall Score of 100 (Reading 22 Listening 21 Speaking 23 Writing 21);
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IDP—雅思考试联合主办方

雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:100
- 托福笔试总分:160
- 其他语言考试:Pearson (Academic) [PTE]- 70 (including 59 + in all components)
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
该学位直接响应了雇主对新一代研究生不断增长的需求,这些研究生可以在理论,方法和实践上批判性地处理大数据。与许多专注于大数据的学位(例如数据科学或数据分析)相比,该学位几乎只专注于数据实践和计算工具,而该学位则通过一系列数据理论方法来巩固关键的实践技能。<br>如何大数据影响着我们的世界吗?大数据如何代表我们的生活?本课程将使您,无论您的学科背景如何,都能在由数据,网络和计算所转变的社会中理解并采取行动,并发展多种学科的能力。
Course overviewThis degree responds directly to the growing demand across research fields and by employers in society for a new generation of postgraduates who can critically engage with big data theoretically, methodologically and practically. In contrast to many big data-focused degrees (such as Data Science or Data Analytics) where the emphasis is almost exclusively on data practices and computational tools, this degree underpins key practical skills with a range of theoretical approaches to data.How is our world influenced by big data How are our lives represented in big data This course will enable you, whatever your disciplinary background, to understand and act in a society transformed by data, networks and computation and develop a range of interdisciplinary capacities.Our course offers you:Core knowledge in statistical modelling and programming for data-driven careersAn extensive understanding of the relationship between big data technology and societyPractical and critical application of these techniques to cutting-edge methods across the data spectrumPython and R programming skills (using RStudio)Introductory Data Science and Machine Learning AI techniques, including Generative AIStatistics in Social Science (up to multiple linear regression and logistic regression)Advanced Statistics (generalised linear models, multilevel modelling and casual inference)Basics in Social Network Analysis, Web Scraping, Reproducible Analysis, Data Visualisation, SQL, Deep Learning, Agent-Based ModellingWriting and communication skills for analysisdiscussing technical contentCritical academic research skills with an interdisciplinary focus.Your careerBig Data & Digital Futures graduates have gone on to be employed by UK-based startups like Skyscanner, StatsBomb, Fresha, Lyst and WeFarm as well as games companies like Sumo Digital and automotive firms like Stellantis. Other firms include Accenture, Amazon, AXA, BaiDu, Estée Lauder, GroupM, Inmarsat, Kandua, Multiverse, Schneider Electric, Sherpany, Slack, Tableau Software, TCMPartners, University of Warwick, Viacom18, and YouView TV. Students have also gone on to Ph.D. programmes at University of Warwick, King’s College London, University of Siegen, and GESIS Leibniz Institute for the Social Sciences.Our department has a dedicated professionally qualified Senior Careers Consultant Link opens in a new window offering impartial advice and guidance together with workshops and events throughout the year. Previous examples of workshops and events include:Warwick careers fairs throughout the yearCareers in AI and Data ScienceDiscovering Careers in the Creative IndustriesDiscuss What’s Next After Your CIM Master’s Degree.
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