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。
This 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.<br>Our course offers you:<br>Core knowledge in statistical modelling and programming for data-driven careers<br>An extensive understanding of the relationship between big data technology and society<br>Practical and critical application of these techniques to cutting-edge methods across the data spectrum<br>R programming skills (using RStudio)<br>Statistics in Social Science (up to multiple linear regression and logistic regression)<br>Advanced Statistics (generalised linear models, multilevel modelling and casual inference)<br>Basics in Social Network Analysis, Web Scraping, Reproducible Analysis, Data Visualisation, SQL, Deep Learning, Agent-Based Modelling (From Q-Step Masterclasses)<br>Writing and communication skills for analysis/discussing technical content<br>Critical academic research skills with an interdisciplinary focus