Program Overview

Overview

The Human-Centred Artificial Intelligence MSc is a forward-thinking approach that puts people first in the design and use of AI. This course will equip students with the skills to design, implement, and evaluate AIs, ensuring they are responsible and aligned with human values while delivering strong predictive performance.

What You'll Learn

This course has three phases. The first phase introduces core knowledge and skills in statistics and computer science. The second phase consists of more advanced technical modules, as well as a group project. The third phase involves an individual research project, where students can collaborate with world-leading researchers or industry professionals to apply their HCAI skills to real-world problems.

Modules

The course includes modules such as:

• Introduction to Human-Computer Interaction and UX
• Data Visualization
• Image Informatics
• Data Science in the Wild (Group Project)
• Machine Learning with Project
• Complex Data Visualization
• Engineering for AI
• System and Societies
• Human AI Interaction
• Project and Dissertation in Data Science

How You'll Learn

The course is delivered through a range of methods, including seminars, lectures, practical classes, group and individual project work, guided independent reading, and self-directed learning. Assessment methods include dissertation, oral presentation, poster, report, and written examination.

Facilities

The School of Computing has cutting-edge technology to support research in data visualization, including a stereoscopic wall display, a large touchscreen display, eye trackers, hand-tracking devices, and VR headsets. The National Innovation Centre for Data (NICD) runs projects with organizations to help them acquire new skills and innovate through data.

Your Development

The course prepares students for a wide range of careers, including Data Scientist, Data Analyst, Business Intelligence Analyst, Research Data Scientist, and Quantitative Analyst. Graduates will have improved research skills, practical skills in data collection, data cleaning, data visualization, machine learning, and big data technologies, as well as enhanced communication, problem-solving, teamwork, and project management skills.

Your Future

The course provides a route into PhD level study, offering a robust foundation in both theoretical and applied aspects of Data Science. As a graduate, students will be prepared to pursue advanced research opportunities and contribute to the academic community through doctoral programs.

Careers

Graduates from this course have undertaken various roles, including Senior Software Engineer, Data Analyst, Data Engineer, and Data Scientist. The dedicated careers support team offers specialized guidance tailored to data science students, including career planning, workshops, networking events, job fairs, and access to an extensive alumni network.

Quality and Ranking

The course is accredited by the British Computer Society (BCS), and the University has a strong track record of admitting applicants from non-standard backgrounds. The University is ranked among the top 140 globally and has a strong research power, with 42% of its research classified as 4* world-leading.

Facilities

The School of Computing is based in the £58 million Urban Sciences Building (USB), a flagship development located on the £350 million Newcastle Helix regeneration site. The USB has cutting-edge technology, including a stereoscopic wall display, a large touchscreen display, eye trackers, hand-tracking devices, and VR headsets.

Fees and Funding

Tuition fees for 2026 entry are £14,500 for home students and £31,700 for international students. The University offers a range of scholarships, including Vice-Chancellor's automatic and merit-based scholarships, to support students.

Scholarships

The University has a generous range of scholarships available, including Vice-Chancellor's automatic and merit-based scholarships. Students can search the funding database to find out more about available scholarships.

Entry Requirements

The entrance requirements for 2026 entry include a 2:1 BSc honors degree or international equivalent in computer science, mathematics, statistics, or an engineering discipline with programming experience. Students with strong relevant work experience are encouraged to apply and will be considered on an individual basis.

English Language Requirements

English language requirements include IELTS, Pearson, Duolingo English Test, or TOEFL. Students can check the University's English language requirements to find out more.

How to Apply

The course starts in September, and there is no application closing date. International students are advised to apply at least two months before the course starts. As part of the application process, students are required to include a copy of their CV, highlighting relevant prior experience relating to data science.

Programme Codes

The programme code for the MSc Human-Centred Artificial Intelligence is 5450F.

Using the Application Portal

The application portal has instructions to guide students through the application process. Students can choose to start their application, save their details, and come back to complete it later.

Deposit

If students are international or from the EU, EEA, or Switzerland and need a visa to study in the UK, they must pay a deposit of £1,500 or submit an official letter of sponsorship. The deposit is non-refundable but will be deducted from tuition fees when students register.