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
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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