Metadata
Title
Advanced Artificial Intelligence MSc
Category
graduate
UUID
5983f4975eaf4ad8b0de73ab09141794
Source URL
https://www.ncl.ac.uk/postgraduate/degrees/5449f/
Parent URL
https://www.ncl.ac.uk/postgraduate/degrees/
Crawl Time
2026-03-19T01:34:22+00:00
Rendered Raw Markdown

Advanced Artificial Intelligence MSc

Source: https://www.ncl.ac.uk/postgraduate/degrees/5449f/ Parent: https://www.ncl.ac.uk/postgraduate/degrees/

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QS World University Rankings 2026

Top 145 for Engineering and Technology

QS World University Rankings by Subject 2025

Top 170 for Computing Science and Information Systems

QS World University Rankings by Subject 2025

Slide 1 of 4

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Global Top 140 University

QS World University Rankings 2026

Top 145 for Engineering and Technology

QS World University Rankings by Subject 2025

Top 170 for Computing Science and Information Systems

QS World University Rankings by Subject 2025

Overview

Gain the advanced skills to design, develop, and apply artificial intelligence technologies with our specialist technical degree. Drive innovation and solve complex challenges in the era of artificial intelligence (AI).

AI is transforming industries and reshaping how we solve complex problems.

AI creates intelligent systems that simulate human decision-making. This allows machines to:

These capabilities are driving innovation in areas such as natural language processing, computer vision, and autonomous systems.

Designed in collaboration with leading industry partners, this degree directly addresses the growing demand for skilled professionals with technical knowledge of AI.

The programme is guided by an Industrial Advisory Board, including representatives from:

The programme reflects latest industry trends, technologies, and employer expectations. You'll graduate ready to make an immediate impact in AI-focused roles.

You’ll gain the skills to design, develop, and deploy intelligent solutions that address real-world challenges. Topics covered include:

You'll benefit from our substantial expertise in AI. We focus on a wide range of application areas, including:

We are a hub of digital innovation. You'll benefit from our:

How to apply

Quality and ranking

Professional accreditation and recognition

British Computer Society (BCS)

The course is accredited by the British Computer Society (BCS). The BCS is the chartered institute for IT. Studying a BCS-accredited degree provides the foundation for professional membership of the BCS on graduation and is the first step to becoming a chartered IT professional.

All professional accreditations are reviewed regularly by their professional body

Recognition of professional qualifications outside of the UK

If you’re studying an accredited degree and thinking about working in Europe after you graduate, the best place to find current information is the UK Government’s guidance on recognition of UK professional qualifications in EU member states. This official resource explains whether your profession is regulated in another country, what steps you need to take, and which organisation you should contact.

What stands out about my course is that it doesn't include written exams, which allows for a more practical and engaging approach to learning. The availability of term-time internship opportunities also provides valuable practical experience, as well as exposure to cutting-edge research and real-world applications of AI has inspired me to pursue research in the field.

Next: Course details

What you'll learn

This Advanced Artificial Intelligence MSc has three phases.

Phase one

You'll develop a core knowledge and skillset in statistics and computer science

These modules are taught as an intensive block, meaning you'll be taught two modules simultaneously.

Phase two

Phase two consists of more advanced technical modules, as well as a group project.

We'll introduce the aspects that govern all areas of AI practice, including:

During the group project, you'll develop and evaluate an AI solution to a complex, real-world problem. You'll work in an industry organisation. They can be a regional, national or charitable organisation. You'll propose an AI project in that company, institute, or area of research.

Phase three

In your final phase, you'll work on an individual research project. It'll give you an opportunity to:

You can develop your project:

You'll have one-to-one supervision from an experienced staff member. If needed, you'll also get supervision from industry partners.

Recent final year projects include:

Modules

You will study modules on this course. A module is a unit of a course with its own approved aims and outcomes and assessment methods.

Advanced Artificial Intelligence MSc modules

Compulsory Modules Credits
Data Visualization 10
Image Processing 10
Data Science in the Wild (Group Project) 10
Machine Learning with Project 10
Deep Learning 10
Project and Dissertation in Data Science 80
Advanced AI 10
Graduate Foundations of Statistics and Data Science 30
Optional Modules Credits
Engineering for AI 10
Generative AI for Businesses 10

How you'll learn

Delivery and teaching methods

The School of Computing and School of Mathematics, Statistics and Physics deliver this course.

You'll be taught using a range of methods, including:

Assessment methods

Depending on your modules, you'll be assessed through a combination of:

Additional assessment information

This degree uses both formative and summative assessments.

These assessments will:

Formative assessments

Formative assessments are designed to provide ongoing feedback and support throughout the course. These assessments will help you identify your strengths and areas for improvement, fostering continuous development.

Examples of formative assessments include:

Summative assessments

Summative assessments occur at the end of each module. They're designed to evaluate your overall comprehension and mastery of the course content.

These assessments will contribute to your final grade.

Examples of summative assessments include:

There'll be no written exams during your AI MSc.

Support

Students will have access to computing resources to support hands-on work.

These tools enable students to tackle real-world challenges and explore practical applications of AI and data analysis.

Whether through cloud-based platforms or high-performance computing environments, the specific setup will be confirmed ahead of the project or module launch.

Wellbeing advisor support

The School of Computing has a dedicated Wellbeing Advisor who understands the needs of our students.

They can be a confidential listening ear and provide guidance on a range of wellbeing issues.

Student Support

Throughout your studies, you’ll have access to support from:

You'll also be assigned an academic member of staff, who will be your personal tutor throughout your time with us. They can help with academic and personal issues.

Your teaching and learning is also supported by Canvas. Canvas is a Virtual Learning Environment. You'll use Canvas to submit your assignments and access your:

Our staff

The staff delivering this course are internationally recognised for their contributions to artificial intelligence. Many of them have extensive experience working in the industry and academia.

Our teaching staff belong to academic research groups including:

We also have direct partnerships with the National Innovation Centre for Data and The Alan Turing Institute.

Search our academic staff in the School of Computing

Philip Robinson Library (Student Texts Collection)

Your development

You'll strengthen your research skills through an extended research project, which may include:

You will also develop practical expertise by engaging with real-world challenges in AI.

You'll apply statistical methods, machine learning, and deep learning techniques to a variety of data types.

The course will also provide hands-on experience in data visualisation, natural language processing, and computer vision, preparing you to work effectively with complex and diverse data.

Upon completing the course, you will be able to:

Course information: Disclaimers, policies and changes

Previous: OverviewNext: Entry requirements

Entry requirements

The entrance requirements below apply to 2026 entry.

Academic entry requirements

A 2:1 BSc honours degree, or international equivalent, in:

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.

Qualifications from outside the UK

Select your country

English Language requirements

Select your qualification IELTSPearsonsDuolingo English TestTOEFLOtherPre-Sessional Entry - 6 weeksPre-Sessional Entry - 10 weeks

Previous: Course detailsNext: Careers

Your future

Careers

The course prepares you for a wide range of careers such as:

Graduates from this course have undertaken various roles including:

The Industrial Advisory Board (IAB) provides strategic advice and industry insights to support the development, implementation, and continuous improvement of the programme. The IAB includes representatives from:

These connections provide you with numerous benefits, including internship opportunities, guest lectures, potential employment upon graduation and industry-sponsored projects.

Recent industry-sponsored projects include:

Further study

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

Postgraduate research degrees in computer science

AI careers support

Our dedicated careers support team offers specialised guidance tailored to AI students. This includes:

Our Careers Service

Our expert Careers Service is here to help you take the next steps in your professional life. We will support you while you’re studying with us and for up to three years after you graduate.\ \ You will have access to expert one-to-one advice and guidance through our campus careers centre and online, along with digital resources, workshops, networking opportunities, and careers and recruitment events.\ \ We’ve been awarded 5 QS Stars for Student Employability (2025). Many of our degrees are shaped by strong links with national and international businesses. We are committed to helping you access real-world experience opportunities and develop key skills through paid work placements and internships.

Visit our Careers Service website

The University’s support services, such as career advice, internships, and networking opportunities, have further clarified my career path. I am currently doing an internship as a machine learning intern with Train Air Ltd. I secured this opportunity through the NCL Internship Scheme.

Previous: Entry requirementsNext: Facilities

Facilities

Data visualisation technology

The School of Computing has cutting-edge technology to support research in data visualisation such as:

National Edge AI Hub

Newcastle University will lead a new national artificial intelligence hub, called the National Edge AI Hub. It'll deliver next-generation innovations and technologies via edge computing.

The School of Computing will host one of the nine hubs in the UK. They're set to unveil groundbreaking AI technologies as part of a coordinated investment by UKRI and the UK government.

You will have an opportunity to work with staff involved in this project and be part of the evolution of AI in the UK.

Continue reading about the National Edge AI Hub

National Innovation Centre for Data

The Newcastle Helix campus is home to the UK’s National Innovation Centre for Data (NICD). NICD runs projects with organisations to help them acquire new skills and innovate through data.

Visit the NICD website

Urban Sciences Building

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 in the heart of Newcastle. It brings together:

Explore the Urban Sciences Building

Learn more about the Newcastle Helix

Postgraduate student facilities

As a Master's student, you'll have access to specialist teaching spaces and facilities in the USB. These are only available to postgraduate students.

Wellbeing and inclusivity are at the heart of our School. The USB has several wellbeing spaces for students, including:

Find out more about our wellbeing and computing facilities

\

Previous: CareersNext: Fees & funding

Fees, Funding and Scholarships

Tuition fees for 2026 entry (per year)

Qualification: MSc Full time
Home students Full time: 12 months Tuition fees (per year) £14,500
International students Full time: 12 months Tuition fees (per year) £31,700

Tuition fee increases

As a general principle, you should expect the tuition fee to increase in each subsequent academic year of your course, subject to government regulations on fee increases and in line with inflation.

EU, other EEA and Swiss nationals - tuition fee status

Depending on your residency history, if you’re a student from the EU, other EEA or a Swiss national, with settled or pre-settled status under the EU Settlement Scheme, you’ll normally pay the ‘Home’ tuition fee rate and may be eligible for Student Finance England support.

EU students without settled or pre-settled status will normally be charged fees at the ‘International’ rate and will not be eligible for Student Finance England support. You may be eligible for a scholarship worth 25% off the international fee. Search our funding database.

If you are unsure of your fee status, check out the latest guidance here.

Scholarships

We support our EU and international students by providing a generous range of Vice-Chancellor's automatic and merit-based scholarships. See our searchable postgraduate funding page for more information.

What you're paying for

Tuition fees include the costs of:

Find out more about:

Deposit

If you are an international student or a student from the EU, EEA or Switzerland and you need a visa to study in the UK, you may have to pay a deposit.

You can check this in the How to apply section.

Funding deadlines

If you're applying for funding, always check the funding application deadline. This deadline may be earlier than the application deadline for your course.

For some funding schemes, you need to have received an offer of a place on a course before you can apply for the funding.

Search for funding and scholarships

Find funding available for your course

Select your country

Previous: FacilitiesNext: How to apply

How to apply

Before you start

Start Dates

The course starts in September.

Closing Dates

There is no application closing date for this course. We suggest international students apply at least two months before the course starts. This is so that you have enough time to make the necessary arrangements.

Specialised application information

As part of the application process, you are required to include a copy of your CV. Your CV should highlight your relevant prior experience relating to data science, including programming and/or statistics experience. You can attach your CV as a file in the applicant portal.

Deposit

All International students

If you are an international student or a student from the EU, EEA or Switzerland and you need a visa to study in the UK, you must pay a deposit or submit an official letter of sponsorship. The deposit is payable after you receive an offer to study with us. This deposit is non-refundable and will be deducted from your tuition fees when you register. You may also be subject to academic and English language qualification verification, confirmation of funds and credibility interviews.

International students who received an offer before 18 March 2026

International students Bangladesh, Ghana, Myanmar, Nigeria, Sri Lanka, and Pakistan who received an offer after 18 March 2026

All International students (excluding those from the markets above) who received an offer after 18 March 2026

Programme codes

Qualification: MSc Full time
Full time: 12 months Programme Code: 5449F

Using the application portal

The application portal has instructions to guide you through your application. It will tell you what documents you need and how to upload them.

You can choose to start your application, save your details and come back to complete it later.

If you’re ready, you can select Apply Online and you’ll be taken directly to the application portal.

Alternatively you can find out more about applying on our applications and offers pages.

\ Apply Online

Previous: Fees & fundingNext: Get in touch

Open days and events

Find out about how you can visit Newcastle in person and virtually

Overseas events

We regularly travel overseas to meet with students interested in studying at Newcastle University.

Visit our events calendar for the latest events

Get in touch

Questions about this course?

If you have specific questions about this course you can contact:

Postgraduate Computing\ Email: computing.admissions@newcastle.ac.uk\ School of Computing \ ncl.ac.uk/computing

General enquiries

For more general enquiries, you could also complete our online enquiry form.

Fill in our enquiry form

Application enquiries

If you've got a question about your application, send us an enquiry via the application portal you applied through.

If you haven't applied yet, you can send your questions via our enquiry form.

Fill in our enquiry form

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Our Ncl chatbot might be able to give you an answer straight away. If not, it’ll direct you to someone who can help.

You'll find our Ncl chatbot in the bottom right of this page.

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Keep updated

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