Metadata
Title
Data Science and Artificial Intelligence MSc
Category
graduate
UUID
5ff68c3a9d4b417aaf5202a06651c4be
Source URL
https://www.ncl.ac.uk/postgraduate/degrees/5544f/
Parent URL
https://www.ncl.ac.uk/postgraduate/degrees/
Crawl Time
2026-03-19T01:39:19+00:00
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Data Science and Artificial Intelligence MSc

Source: https://www.ncl.ac.uk/postgraduate/degrees/5544f/ 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

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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

Discover how to turn data into intelligence and launch your career at the forefront of innovation. This degree equips you with the skills and mindset to thrive in industries being transformed by Data Science and AI.

Together, data science and artificial intelligence (AI) transform data into knowledge that is changing the world.

This course offers a conversion route for graduates ready for a career in these fast-growing and connected fields.

With AI reshaping industries worldwide, you'll build the core skills needed to make an impact. This course is grounded in the latest computational and mathematical approaches. You'll progress from the basics of programming to the latest techniques in machine learning and deep learning including:

You’ll learn from our leading AI academics, whose pioneering research keeps them at the forefront of the discipline. You'll develop the curiosity and self-learning mindset needed to stay ahead of future developments. You’ll graduate with relevant and up-to-date knowledge in data science and AI, as well as the confidence to keep building your expertise as technology evolves.

Aspects of this course are delivered by expert data scientists from the UK’s National Innovation Centre for Data (NICD). You’ll immerse yourself in their leading-edge techniques and practical applications of data science through data bootcamps and experiential learning.

This course includes a research-led capstone project, where you'll work on real-world problems. Projects could be sourced from industry, and you'll work with our renowned academics. You’ll apply your expertise to challenges that companies are actively seeking to solve. You'll gain valuable practical experience and a head start in your career.

This Data Science Master's degree is part of a suite of Data Science conversion degrees. You may also be interested in:

Who this course is for

This MSc is for graduates looking to transition into data science and AI, and don't hold a degree in computer science or a related computational field.

It's ideal for those who are curious about intelligent systems and keen to develop the technical skills needed to work at the intersection of data, algorithms, and decision-making.

How to apply

Quality and ranking

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.

\

Next: Course details

What you'll learn

Phase one: Core foundations in Data Science

In phase one, you’ll learn to understand the data itself before processing it, so you can interpret results accurately and make informed decisions. You’ll build a solid foundation in:

You'll develop confidence in using programming languages such as R and Python.

You’ll then explore the theory and applications of data science in greater depth. A skills-based module delivered by the UK’s National Innovation Centre for Data (NICD) will allow you to work on solutions to real challenges drawn from NICD’s client projects.

You’ll gain essential legal knowledge, covering data protection, privacy, security, and equality frameworks.

Phase two: Data Science and AI

In phase two, you’ll study AI fundamentals through topics including:

You’ll gain fluency in the core concepts, methods, and applications of these topics. You’ll be introduced to the tools and industry-standard software used in each area while understanding best practices, limitations, and ethical implications of data and AI.

Phase 3: Capstone project

You’ll complete a research or industry focused project that applies data science and AI to real challenges. This is your opportunity to explore a topic that interests you or supports your career goals.

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.

Data Science and Artificial Intelligence MSc modules

You take the following compulsory modules:

Compulsory modules Credits
Data Visualisation and Data Handling 20
Programming and Machine Learning 20
Foundations of Data Science 20
Data Science Skills 20
Deep Learning and Computer Vision 20
Natural Language Processing and Generative AI 20

You also take one of the following modules:

Optional modules Credits
Case Study Project in Applied Data Science 60
Individual Project in Applied Data Science 60

How you'll learn

Delivery and teaching methods

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

This course is hands-on, giving you the chance to apply the methods and techniques you’ve learned, supported by academics. You’ll gain experience using industry-standard software in a learning environment where you can ask for extra help and support.

Assessment methods

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

Additional assessment information

Some assessments will involve our specialist software, Numbas, which tests your mathematical knowledge.

As part of the module delivered by NICD, you’ll collaborate with a group to complete an assignment and deliver an oral presentation, which will contribute to your assessment.

You’ll demonstrate your software coursework for the AI modules, giving you the chance to showcase your practical abilities and how you’ve applied your learning.

Support

Data Science resources

Before the course begins, you’ll receive a set of resources designed to support your transition into data science. These materials provide a fast-paced refresher on key mathematical concepts, helping bridge the gap between what you’ve learned previously and what you'll encounter on the course. You’ll start your course with confidence and be able to refer to the resources as your learning progresses.

Practical sessions

The course is made up of a large number of practical sessions, allowing you to try out different skills and techniques with the support of academic staff and demonstrators.

Numbas learning software

You'll have access to specialist learning software called Numbas. Developed at Newcastle University, it's now used by mathematicians and statisticians worldwide.

This innovative software allows you to work on interactive code worksheets, so you can test and refine the mathematics skills you’ll need for data science.

Maths-Aid

Students can make use of Maths-Aid, a team of experts who provide support and advice on all aspects of maths and statistics.

Statistics and Data Science clinic

During your capstone project, you’ll be supported by our Statistics and Data Science Clinic. You can book one-to-one sessions with our expert data scientists. Whether you need support with a technical issue or refining your analysis, tailored support is available to help your project progress. This support is in addition to your project supervisor.

Our staff

This course is delivered by:

You'll be taught by experts working at the frontier of data science. You'll work alongside academics from the following research areas:

We're home to the UK’s National Innovation Centre for Data (NICD). This gives you unique opportunities to collaborate with industry partners across multiple sectors.

Philip Robinson Library (Student Texts Collection)

Your development

Through a module delivered by the NICD, you’ll develop key professional skills by working through real innovation processes. You’ll take a problem from initial conception through to a practical, client-focused solution.

You’ll also strengthen your teamwork and communication skills by working on a group project. You'll learn how to present your findings clearly to non-specialist audiences.

Research skills

You'll learn to design, implement, and report on data-driven research projects. This includes formulating hypotheses, selecting appropriate analytical methods, evaluating models, and interpreting findings.

Practical skills

You’ll learn how to collect, validate and prepare data for analysis. You’ll develop your programming skills in Python and R to solve real data science problems. You’ll become confident in using industry-standard AI toolkits such as TensorFlow, NLTK and Hugging Face.

You’ll apply statistical methods and software to model, classify, and interpret data, and create clear visualisations and interactive dashboards for different audiences.

You’ll develop the skills to use computational resources efficiently, helping you save time, scale up your projects, and work sustainably in AI.

Work experience opportunities

While this course does not include a formal placement, you will gain practical experience through working with our industry partners on projects.

There are a number of opportunities to secure work experience and placements with support from our Careers Service.

Course information: Disclaimers, policies and changes

Previous: OverviewNext: Entry requirements

Entry requirements

The entrance requirements below apply to 2026 entry.

Academic entry requirements

A 2:2 honours degree, or international equivalent

GCSE Mathematics grade 6 in Mathematics (or equivalent)

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

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English Language requirements

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

Previous: Course detailsNext: Careers

Your future

Graduates of our Data Science and Artificial Intelligence MSc are well-prepared to pursue careers in a variety of sectors, with potential roles including:

Further study

This Master's provides an excellent foundation for further study. Graduates will have the opportunity to pursue PhDs or research careers in areas such as artificial intelligence, data science, machine learning, and related disciplines.

The Industrial Advisory Board (IAB) provides strategic advice and industry insights to support the development of the programmes in the School of Computing. The IAB includes representatives from:

These connections provide you with numerous benefits, potential employment upon graduation and industry-sponsored projects.

Dedicated Careers Consultant and Employability Facilitator

Alongside support from our central Careers Service, you’ll benefit from a dedicated Careers Consultant and Employability Facilitator for this course. You can book one-to-one appointments to plan your next steps, and take part in a full programme of employability events and workshops throughout the year.

These careers resources are designed to help you develop your skills, connect with employers, and grow your professional network.

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

Students will explore the business domains and problems that the real world is facing and how these techniques and methods can resolve those problems, and help to create these new products and services that will dominate the market. We know there are many thousands of jobs that are unfilled in the UK, because the skillset is not available to address all the business challenges that are coming with data science.

Previous: Entry requirementsNext: Facilities

Facilities

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. Newcastle Helix brings together:

The USB is a living laboratory and has over 4,000 sensors that record detailed research data, which can be used in student projects.

As a student, you'll have access to facilities including:

Explore the Urban Sciences Building

Learn more about the Newcastle Helix

Newcastle University's Urban Sciences Building Tour

Herschel Building

You'll join the School of Mathematics, Statistics and Physics based in the Herschel Building.

A well-equipped learning environment will support your studies, and you'll have access to extensive IT facilities for teaching and self-study, including:

The Herschel Building also has dedicated study and social spaces, and a computing area.

You’ll also benefit from a range of facilities and resources which may be used for project work, including:

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

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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.

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: 5544F

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:

Admissions Secretary\ Telephone: +44 (0) 191 208 8072\ Email: computing.admissions@ncl.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

Live chat

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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Choosing a university is a big decision. If you've got questions about a particular course, student life or the city of Newcastle, why not chat to our friendly students or graduates!

Keep updated

We regularly send email updates and extra information about the University.

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