Artificial Intelligence (AI) BSc
Study of mathematics, statistics, finance, and risk management in real-world contexts.
Is this for you?
This degree could suit you if you:
Are interested in AI and technology
Enjoy maths and coding
Like problem-solving
Want a future-focused career
Are analytical
Popular Career Fields
Technology & Startups
Research & Academia
Healthcare & Public Health
Finance & Banking
Your Personality Might Be:
Technically brilliant
Research & Academia
Problem-solver
Future-focused
What is it?
What Is an Artificial Intelligence Degree?
Artificial Intelligence (AI) is the study of how to make machines think, learn, and act intelligently. It combines computer science, mathematics, and data analysis to create systems that can solve problems, recognise patterns, and make decisions.
Why Study AI?
AI is transforming industries, from healthcare and transport to finance and entertainment. Studying AI gives you the skills to design and build intelligent systems that shape the future, whether you want to work on robotics, data science, or ethical technology.
Course Summary
Study of mathematics, statistics, finance, and risk management in real-world contexts.
What you'll study
Most AI degrees cover:
Programming and software development
Machine learning and data science
Mathematics and statistics for AI
Neural networks and deep learning
Natural language processing (NLP)
Robotics and computer vision
Ethics and responsible AI
Later in your course, you can usually specialise, for example, in healthcare AI, human–computer interaction, or autonomous systems.
Degree Types
BSc (Bachelor of Science): Focuses on technical, mathematical, and applied AI skills.
MEng or Integrated Master’s: A four-year course offering deeper research and design experience in AI systems.
Skills You'll Gain
An AI degree builds a strong mix of technical and transferable skills, which might include:
Machine Learning Techniques – building models that learn from data using algorithms like regression, trees, and neural networks.
Programming & Automation – writing AI-driven software using Python, Java, or similar languages.
Data Handling & Processing – preparing, transforming, and analysing large datasets for AI applications.
Algorithm Design – creating intelligent systems for search, optimisation, pattern recognition, and decision-making.
AI Ethics & Evaluation – understanding fairness, bias, accountability, and responsible use of AI systems.
Explore Uni Open Days
Pathways, Placements and Work Experience
CAREERS
Career Pathways
AI graduates are in high demand across industries such as:
Technology and software development
Robotics and automation
Finance and data analytics
Healthcare and pharmaceuticals
Transport and smart systems
Other pathways include academic research, AI ethics, or entrepreneurship. AI specialists are among the most sought-after and well-paid professionals in technology.
Work Experiences & Placements
Many universities offer:
Industry placements or sandwich years, often with tech firms, start-ups, or research labs.
Summer internships in AI, data science, or software development.
These experiences help you apply your skills in real-world projects and boost your career prospects.
Salary Profile
Coming soon
Qualifications, Personal Satement, What to do Next?
AM I ELIGIBLE?
Entry Requirements
A-levels or equivalent including Maths. Computer Science, Further Maths, Physics, or Computing are beneficial and sometimes preferred.
Personal Statement Tips
Show your curiosity about technology and intelligent systems.
Mention coding, maths, or problem-solving projects you’ve enjoyed.
Include online courses, competitions, or independent AI projects (like training a model or exploring ChatGPT).
Reflect on the ethical and social impact of AI.
What to do Next
Explore different AI degree options and compare course modules.
Attend university open days or virtual events to meet lecturers and students.
Try online AI or data science courses to see if you enjoy the subject.
Read about how AI is shaping the future in fields like healthcare, education, and creativity.
Wider Reading
Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell – A clear, thoughtful introduction to modern AI.
Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark – Explores how AI could change our future.
The Master Algorithm by Pedro Domingos – Explains how machine learning is transforming technology and society.
Hello World: How to Be Human in the Age of the Machine by Hannah Fry – A witty, real-world look at how algorithms shape our lives.