Level 6 Level

Degree

BSc Artificial Intelligence

Build AI systems from the ground up — a Level 6 degree covering machine learning, deep learning, NLP, computer vision and AI ethics

Calculate your ROI Career family: Data & AI

Your Journey

Your journey starts here

Journey overview

This structured pathway combines theoretical knowledge with practical experience, preparing you for real-world impact in your field.

What you'll get

Accredited Level 6 qualification aligned to industry standards

Who it's for

This degree suits learners with a strong interest in mathematics and programming who want more than surface-level familiarity with AI. It is designed for those entering higher education directly after A-levels or equivalent qualifications, as well as career changers from STEM backgrounds who want formal, accredited training in AI engineering. If you are motivated by the question of how intelligent systems actually work — not just what they can do — this programme is built for you.

Career progression

Graduates typically move into machine learning engineering, AI research or specialist roles in computer vision and NLP within technology companies, public sector bodies and research institutions. With experience, progression leads to senior ML engineer, principal scientist or AI architect positions. Those wishing to deepen their research expertise can proceed to an MSc or PhD in AI, robotics or a related discipline.

Overview

About this programme

Artificial intelligence is reshaping every sector of the economy, but most people are simply along for the ride. This degree is for those who want to be in the driving seat. Over three years, you will develop a rigorous technical grounding in the mathematics, algorithms and architectures that power modern AI — from classical machine learning through to transformer-based language models, generative networks and autonomous systems.

The curriculum moves from foundations to specialisation at a deliberate pace. Early study establishes fluency in probability, linear algebra and programming, before progressing into supervised and unsupervised learning, neural network design and the principles of reinforcement learning. Later modules tackle computer vision, natural language processing and the deployment of AI systems at scale.

Throughout, the degree treats AI ethics and governance as technical concerns, not afterthoughts. You will learn to evaluate bias in training data, reason about model transparency and apply responsible AI frameworks alongside the engineering skills that make you genuinely employable. Graduates leave equipped not just to use AI tools, but to research, design and build the systems behind them.

Partners

Accredited Providers

Choose from 1 leading providers offering this programme across the UK.

University of Staffordshire

University

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Learning

What You'll Learn

Learning Outcomes

Design and implement supervised, unsupervised and reinforcement learning models for real-world problems

Build and evaluate deep neural network architectures including CNNs, RNNs and transformer models

Develop computer vision pipelines capable of image classification, object detection and segmentation

Construct NLP systems using both classical linguistic techniques and large language model approaches

Apply AI ethics frameworks to identify bias, assess fairness and document model transparency

Deploy machine learning systems to production environments and monitor their performance over time

Tech Industry Gold

Employer-Led Learning Outcomes

These learning outcomes are employer-led, not created in isolation. They're reviewed regularly by our specialist employer panel, so every accredited course keeps pace with what the tech industry genuinely needs.

Development

What You'll Develop

Key Skills

Designing and training deep neural networksBuilding NLP pipelines with transformer architecturesComputer vision model development using CNNsEvaluating and mitigating bias in ML systemsImplementing reinforcement learning algorithmsDeploying and monitoring production AI systems

Career Outcomes

Machine Learning Engineer

AI Research Scientist

Computer Vision Engineer

NLP Engineer

Data Scientist

AI Ethics Specialist

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