'!padrenullquery'

An Integrated PhD provides a route into research study if you do not have a Masters degree, or have very little research training. It enables you to spend your first year completing a Masters-level qualification, followed by a full-time PhD studied over 3-4 years.

Since the pandemic, businesses around the world are stepping up their analytics capabilities in order to inform their response to unforeseen changes in their markets. Organisations of all sizes must analyse complex business data to remain competitive.

Our four-year PhD in Data Science (with research and communication skills) course has been specifically designed to support students, whilst also offering additional support for UK students who do not have English as a first language. We recognise and understand the importance of continuing professional development for students and have designed this course for students who do not have English as a first language and may have been studying in a different country, or out of a traditional academic environment for some time.

Based in the Department of Government, The MSc Social Data Science supports the development of the knowledge, skills and understanding required to be an effective social data scientist. With modules taught in both the Department of Government and School of Computer Science and Electronic Engineering, it equips future social scientists with a range of skills in advanced data science and artificial intelligence that will enable them to undertake social sciences research, making use of increasingly large and complex data sets.

Our MSc Applied Data Science is a conversion course specifically designed for students without prior experience of university-level mathematics or statistics, who want to be part of our fast-growing digital economy (students with some mathematical experience may consider our MSc Data Science and its Applications). The course will build upon your undergraduate degree in the humanities, social or life sciences, or business studies, giving you postgraduate-level skills in essential data science methods with various applications, covering case studies and applications of AI and data using a balance of methods and practical application.

Our MPhil Data Science is an advanced research degree within our School of Mathematics, Statistics and Actuarial Science and we have staff members available to act as supervisors across a number of areas within data science.

An Integrated PhD provides a route into research study if you do not have a Masters degree, or have very little research training. It enables you to spend your first year completing a Masters-level qualification, followed by a full-time PhD studied over 3-4 years.

The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses. Technology is growing and evolving at an incredible speed, and both the rate of growth of data we generate and the devices we use to process it can only increase.

Would you like to undertake advanced study in quantitative analysis in an environment of research excellence? To question how we understand and assess empirical findings reported within applied economics? Our popular course emphasises the foundations of econometrics and its application to a wide range of topics in economics.

If you want to explore how big data streams influence financial and statistical modelling on a daily basis and gain an understanding on how data from social networks and search engine analytics can change how an investment matures, MSc Finance and Data Analytics is for you. The finance and investments sector needs practitioners who have a fundamental understanding of financial markets who can also apply statistical modelling in the context of the growing, and increasingly complex, data available to financial firms.