Human-Centred Artificial Intelligence
Entry requirements
A 2:2 BSc honours degree, or international equivalent, in:
- computer science
- mathematics
- statistics
- an engineering discipline with programming experience
We have a strong track record of admitting applicants from a non-standard background and individuals with strong relevant work experience are encouraged to apply and will be considered on an individual basis.
Months of entry
September
Course content
Shape AI to work for everyone with our specialised degree. Create cutting-edge AI systems that are ethical, inclusive, and designed to augment and enhance human abilities.
Overview
Human-Centred Artificial Intelligence (HCAI) is a forward-thinking approach that puts people first in the design and use of AI.
This course will equip you with the skills to design, implement, and evaluate AIs. You will ensure that AIs are responsible and aligned with human values - while still delivering strong predictive performance. You'll learn to design AI and data-driven systems that make better decisions without replacing human input, as well as valuing different cultures, backgrounds, and experiences to make AI work for everyone.
You’ll explore core areas of AI, including:
- machine learning
- computer vision
- large language models
- big data
You'll gain the technical expertise to build intelligent systems. At the same time, you’ll deepen your understanding of human-computer interaction (HCI), user experience (UX), and data visualization.
You’ll benefit from the knowledge of our Industrial Advisory Board, which includes global leaders like:
- Meta
- JP Morgan
- PwC
They will provide valuable industry insights that keep the programme aligned with the latest technology trends and the skills that employers are looking for.
You’ll also get access to the School of Computing’s strong research links including:
- National Edge Artificial Intelligence Hub - leading transformative innovation in edge intelligence for cyber-disturbances and data quality
- Open Lab - a world-leading research group working at the cutting edge of Human-Computer Interaction (HCI), Design Futures and Digital Social Innovation
- NOVA (Northern Visualization and Visual Analytics) – a research lab at Newcastle University pioneering visualization and visual analytics methods that enable humans to interpret and interact with complex data in partnership with AI
- National Innovation Centre for Data - enabling organisations to leverage their data effectively using our expertise in AI and data science
- The Alan Turing Institute – the UK’s national institute for data science and AI
You'll complete an individual project as part of your course. You'll collaborate with our world-leading researchers or industry professionals to apply your HCAI skills to real-world problems.
What you'll learnThis programme has three phases.
Phase 1
We’ll introduce you to the core knowledge and skills in:
• machine learning
• data visualization
• image processing
• ethical, responsible and trustworthy AI
• human-computer interaction
Some modules are taught as an intensive block, meaning you'll be taught two modules simultaneously.
You’ll also work on a group project to put your learning into practice.
Phase 2
In Phase 2, you’ll explore more advanced technical and practical modules, as well as completing another group project.
We'll introduce the aspects that govern all areas of human-centred artificial intelligence (HCAI), including:
• human-AI interaction
• complex data visualization
• neural networks
• reinforcement learning
• transformers
• computer vision
• large language models (LLM)
During the group project, you'll develop and evaluate a solution to a complex, real-world HCAI problem.
Phase 3
In your final phase, you'll work on an individual research project. It'll give you an opportunity to:
• develop your knowledge and skills
• work in a research or development team
You can develop your project:
• at the University under an academic supervisor
• by securing an industrial placement
• working with your current employer
You'll have personalised supervision from an experienced staff member. If needed, you'll also get supervision from industry partners.
Information for international students
See Newcastle University's course entry for more information
Fees and funding
See Newcastle University's course entry for more information
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- School of Computing
- computing.admissions@newcastle.ac.uk