Why data analytics?
Data helps to predict your shopping habits; personalises your social media feeds; determines your eligibility to buy a home; and influences your accessibility to healthcare, social care and much more. Knowledge of how data is used in all these sectors and the ability to analyse data-sets is a valuable asset when moving into the job market.
You can take the Year in Data Analytics either between Stage 2 and Stage 3 of your degree or at the end of Stage 3.
You gain the skills, confidence and knowledge to collate, analyse and report on different size data sets. Most teaching takes place within the School of Mathematics, Statistics and Actuarial Science.
What you study
In the autumn term, you are introduced to data analytics and the statistical software and techniques used to understand datasets. You also explore the research and applications of quantitative data, and learn how to create and understand your own data.
In the spring term, you explore what Big Data is and look at methods for analysing large datasets. You continue to develop your understanding of data analysis and statistical software, focusing on presenting and communicating results. Towards the end of term, you put into practice the skills and knowledge you have gained by starting work on a project in which you collate, analyse and report on your own data. You hand in your project towards the end of the summer term.
Am I eligible?
Yes, if you are a University of Kent undergraduate student
- completed Stage 2 or Stage 3 of their degree
- achieved grade B or above in GCSE Mathematics (or
- averaged 50% or above in their current degree programme.
Three groups of students are not eligible:
- students from SMSAS
- students from the School of Psychology
- students from Schools who could join the Q-Step programme.