University withheld until you unlockunlock below to reveal · Full-time
Applied Data Science and Statistics
Designed for those wanting to work with and derive meaning from data, but without prior experience of programming - Explore a wide variety of applications to prepare you for a career working with data in a wide variety of sectors - Graduate with the capability…
MSc1 yearFull-time
Browse mathematics courses in UK
Mathematics and Statistics · Mathematical sciences
Designed for those wanting to work with and derive meaning from data, but without prior experience of programming - Explore a wide variety of applications to prepare you for a career working with data in a wide variety of sectors - Graduate with the capability to extract otherwise-hidden information within data and use it to make informed decisions, with the skills needed to enter a Data Scientist or Analyst role - Learn a variety of languages essential to Data Science, including R and Python - Work with data and gain the ability to perform statistical analysis to answer questions, and understand how to interpret and communicate results in the presence of bias and uncertainty. - To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
Getting in
As the university states it
A good degree (normally a 2:2). Successful applicants will usually have at least an A-level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate programme or professional experience. Prior experience of coding is not necessary on this course. For full details, including English language requirements and international equivalencies, please visit our course page.
Worth reading next
Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.