The Year in Data Analytics can be taken either in between Stage 2 and Stage 3 or at the end of Stage 3. The course is taught on the Canterbury campus.
When studying the Year in Data Analytics, you will primarily be taught within the School of Mathematics, Statistics and Actuarial Science (SMSAS) with some modules taught by the School of Sociology, Social Policy and Social Research (SSPSSR). Upon completion of the year, you will return to your home School where you will complete your registered degree.
Successful completion of both the Year in Data Analytics and your registered degree will allow you to graduate with your current degree title augmented with the words ‘with a Year in Data Analytics’.
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 in the summer term.
Modules:
This Module will give you the fundamentals of what data analytics means in the real world. You will be introduced to core statistical techniques and data handling using specialist statistical software.
This module will give you the knowledge and skills required to interpret the results of quantitative research, and to synthesise the diversity of findings on a particular issue.
This module will further develop your statistical skills and ability to conduct research. You will gain an understanding of how information sources such as opinion polls, research data, social media posts and administrative data are created, and you will be able to create these information sources independently.
This module builds on the knowledge gained through studying MAST5951, introducing you to new statistical models. You’ll learn how to make predictions about the future based on past data using a variety of modelling methods.
This module focuses on Big Data and text mining. You will discover the techniques used to explore large datasets, as well as gaining key data mining skills.
During this final taught module you will learn about the different methods for conveying your data findings, and how to tailor your communication style to specialist and non-specialist audiences.
This module gives you the opportunity to put into practice everything you have learnt over the year. You will work independently to collate and analyse data relating to your chosen project, communicating your findings through a dissertation. A member of staff will support you throughout your project.