From the websites you browse to the places you visit; data is being gathered every second of every day. With so much data to analyse, data engineers are in high demand to ensure that companies have the infrastructure they need to successfully analyse it.  It’s the Data Engineer’s job to make sure that Data Scientists have access to the clean data they need to do their job and to deploy the solutions they produce.

Within this course you will develop your skills, knowledge and understanding of both data engineering and data science whilst learning to store, manage and analyse large sets of data.

You will study a range of modules, learning to work with the cloud providers (AWS, Azure GCloud etc)  to build robust data systems, an introduction to machine learning, data models for analysis and how to store data at scale.  You will learn about data visualisation to tell the story of your data and build systems to clean and analyse large data sets.

You will work with SQL and NoSQL databases, learn how to use parallel data analysis software, such as Spark, Flink  and learn how to integrate these into continuous deployment and integration development systems.

Working alongside, and learning from, a range of leading researchers and tutors, including vision and imaging researchers, business intelligence experts, and industrial and research data scientists, you will develop your understanding of the real-life situations you could face in your career.

Under the guidance of our academic staff, you will also undertake a research project. Recent projects examples have looked at integrating third party market data to increase sales in the drinks industry, providing access to Citizen Science data through a microservice architecture  and Diagnosing Skin Cancer using Artificial Intelligence and Deep Learning.