
Artificial Intelligence (AI) BSc
Study of mathematics, statistics, finance, and risk management in real-world contexts.
YOUR PERSONALITY MIGHT BE:
Technically brilliant
Innovative thinker
Problem-solver
Future-focused
POPULAR CAREER FIELDS
Technology & Startups
Research & Academia
Healthcare & Public Health
Finance & Banking
Is this for you?
Artificial Intelligence (AI) BSc
Is this for you?
WHAT IS IT?
Study of mathematics, statistics, finance, and risk management in real-world contexts.
CAREER OPTIONS

CURRENT APPRENTICESHIPS, INTERNSHIPS & WORKPLACES

Internships

Apprenticeships

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About the Course
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.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.
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.
A-levels or equivalent including Maths. Computer Science, Further Maths, Physics, or Computing are beneficial and sometimes preferred.
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.
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.
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.
AI Engineering - AI engineer, machine learning engineer, deep learning engineer
Machine Learning - Machine learning engineer, ML researcher, algorithm developer
Data Science - Data scientist, AI data scientist, analytics engineer
AI Research - AI researcher, research scientist, academic researcher
Robotics - Robotics engineer, autonomous systems engineer, robotics software developer
Quantitative Finance - Quantitative analyst, algorithmic trader, financial ML engineer
Healthcare AI - Healthcare AI specialist, medical AI developer, clinical AI researcher
NLP Engineering - Natural language processing engineer, conversational AI developer, chatbot engineer
Autonomous Vehicles - Autonomous vehicles engineer, self-driving car engineer, perception engineer
Computer Vision - Computer vision engineer, image recognition specialist, visual AI developer
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