Overview

Year 3 entry only: We are currently only accepting applications for direct entry to Year 3 of this course. Applicants will normally need a relevant Higher National Diploma (HND). See the entry requirements below for full details.

If you are interested in a career developing societally beneficial data science and artificial intelligence solutions to real-world problems like climate change, financial services, or sustainable development, the BSc (Hons) AI and Data Science course will equip you with the knowledge and skills required.

The ability to draw insight and make decisions from data is critical to healthcare providers, government organisations, social media companies, the financial and education sectors, and the entertainment industry.

During this course, you will learn how to manage, explore, analyse, understand and visualise image, text, or numerical data and apply these skills to challenges in areas such as autonomous vehicles, financial decision making, health diagnosis, or robotics. As well as technical skills such as software development and machine learning, you will also develop the creative thinking skills required for a career developing novel solutions to the key societal and environmental challenges affecting the world today.

You'll benefit from a course which is directly informed through both academic research and industrial interaction and feedback. Regular events are also organised with previous students and industrial experts to broaden your awareness of career opportunities and develop other skills such as entrepreneurship and teamwork.

International partnerships

From May 2026, the BSc (Hons) AI and Data Science is available through Educare Global Academy (EGA) in Singapore, delivered in English, expanding our global reach.

Accreditations

What you will study

We aim to display the most up-to-date information possible. The modules listed on this page and the Programme Specification are intended to give you an idea of what you may be able to study on this course. Please note that course content, modules, teaching and assessment may change each year and after you have accepted your offer to study at GCU. This might be because we are required to do so by law, by a governmental authority, regulator or accrediting body. We may also make changes for quality assurance reasons, or to enhance the course.

Please note that full module information is in the process of being finalised for publication and will be made available here shortly.

In the meantime, you can view and download the Programme Specification at the bottom of this page. This document provides an overview of the course structure, including indicative modules, learning content and further key information. The modules listed on the Programme Specification are for the current academic year and are intended to give you an idea of what you may be able to study on this course.

Careers

The course's curriculum will enable you to pursue careers in a variety of AI and data science roles including:

  • Data Scientist
  • Machine Learning Engineer
  • Machine Learning Scientist
  • Applications Architect
  • Data Architect
  • Infrastructure Architect
  • Data Engineer
  • Data Analyst
  • Software Developer
  • Cloud Engineer.

Course information

Take a virtual
tour with us

Start a tour

Download the programme specification

In addition to the core modules that all students must undertake, some courses offer students a choice from a selection of optional modules to shape the focus of their degree. Optional modules where available, form part of the overall credit structure of the course.

Download the programme specification for a detailed breakdown of the course structure, including modules, what you'll learn and other useful information.

Terms and Conditions