Computer Science (Data Analytics)

Learn how to use the latest tools and technologies to interpret and manipulate data on this exciting new course.

• Learn how to acquire, store, manage and use data to make decisions using innovative technologies.

• Gain a solid foundation in the latest tools and technologies for a career in Computer Science.

• You’ll learn by doing, experimenting and exploring in this practical, hands-on course.

The BSc (Hons) Computer Science (Data Analytics) integrates Computer Science, statistics, and Artificial Intelligence.

This data analytics degree course opens new and exciting opportunities for students interested in a career in data analytics. You’ll learn the foundations of managing and analysing data. You'll also grow the confidence to fully understand the constantly evolving technology of data analytics.

You’ll gain comprehensive knowledge of modern data utilisation and have the opportunity to specialise in various advanced topics.

Students will be equipped with the skills and knowledge needed to collect, organise, analyse and study current data. You'll gain useful experience with analytical techniques such as data mining, time series forecasting, and modelling methods. You'll learn to identify and predict trends and patterns in data.

A key aim of this data analytics course is to prepare students for an career in data analytics. You’ll be able to present data through a range of visualisations to different audiences, making you highly employable.

Course Modules

Year one
Strong fundamentals. You'll start with an induction to computer science through computer systems architecture, networking, and learning about the ideas behind modern computing innovations. Programming skills and software design principles form the second pillar which enables more sophisticated projects throughout the course.

The year ends with developing knowledge around data storage and management across the Internet. The first year is common across Computer Science, which means you can transfer easily between pathways for the second year.

Year two
Start manipulating data. Your second year of study introduces first data analytics modules. You'll learn how data is obtained, stored and retrieved.

You'll deepen your understanding of core computer science and software development. You'll learn about object-oriented programming, an understanding of computing algorithms and associated data structures. You'll cover software engineering, and the introduction of Artificial Intelligence - an essential tool for converting raw data into valuable information. You'll be able to explore your interests with optional modules on topics such as physical computing projects (Arduino, Raspberry Pi), computer graphics or data visualisations.

Year three
Develop the expertise needed for strategic decision making, and showcase what you've learned.

The final year centres on a major project where you'll apply technical expertise learnt from previous years and modules. You’ll also go further into using AI to understand data and discover insights. You'll finish the year with Cyber Security and another optional module aligned with personal interests. This year provides the opportunity to highlight your professionalism, data manipulation skills and ability to expand your knowledge.

Professional Placement Year

A Professional Placement Year (PPY), traditionally known as a sandwich year, is where you undertake a period of work with an external organisation for between 9-13 months. The placement occurs between your second and final years of undergraduate study. You can engage in multiple placements to make up the total time and are required to source the placement(s) yourself, with support from the Careers team.