Intro

Our Artificial Intelligence and Machine Learning MSc prepares you for in-demand roles like machine learning engineer, data scientist and AI developer, or for a career in research.

You’ll gain the skills you need to design, build and deploy AI solutions that address global industry challenges in the fast-evolving fields of artificial intelligence, data science and intelligent systems development.

You’ll develop skills in programming for AI and data science, machine learning techniques and model evaluation, applying them to real data sets using industry-standard software. You’ll also explore the ethical and societal implications of AI, ensuring your solutions are responsible, robust and fit for purpose.

The industry placement or research year is a great way to gain valuable professional or academic experience and provides an opportunity for international students to study in the UK for two years instead of one.

91Ώμ»ξΑΦ & Hove is the UK’s leading city for new economy businesses (Centre for Cities 2025) which include artificial intelligence as a sector. The city has strong links to the AI community and is just an hour away from central London.

Find out about postgraduate events

Key facts

Location 91Ώμ»ξΑΦ: Moulsecoomb

Full-time 1 year or 2 years with a placement
Part-time 2–6 years

September and January start dates

New for 2026

This new course is subject to validation. This means it is in the final stage of development and some changes may still be made to the curriculum. Check back for the latest information.

After you apply we’ll let you know about any changes to the course through .

Please review the entry requirements carefully and if you have any questions do get in touch with us.

Entry criteria

Entry requirements

Degree and experience
An undergraduate degree in a subject area with a substantial quantitative element (for example, computer science, maths, statistics, data science, engineering, economics). Applicants without a degree but with relevant working experience are considered on an individual basis.

English language requirements
If English is not your first language, IELTS 6.5 overall with a minimum of 5.5 in each element. Find out about the other English qualifications that we accept.

International requirements and visas

International requirements by country
Country name
Albania
Algeria
Argentina
Australia
Austria
Bahrain
Bangladesh
Belarus
Belgium
Bermuda
Bosnia and Herzegovina
Botswana
Brazil
Bulgaria
Cameroon
Canada
Chile
China
Colombia
Croatia
Cyprus
Czechia
Denmark
Ecuador
Egypt
Estonia
Finland
France
Germany
Ghana
Greece
Guyana
Hong Kong
Hungary
Iceland
India
Indonesia
Iran
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kosovo
Kuwait
Latvia
Lebanon
Liechtenstein
Libya
Lithuania
Luxembourg
Macedonia
Malaysia
Malawi
Malta
Mexico
Moldova
Montenegro
Morocco
Myanmar (Burma)
Namibia
Nepal
Netherlands
New Zealand
Nigeria
Norway
Oman
Pakistan
Palestinian National Authority
Philippines
Poland
Portugal
Qatar
Romania
Russian Federation
Saudi Arabia
Serbia
Sierra Leone
Singapore
Slovakia
Slovenia
South Africa
South Korea
Spain
Sri Lanka
Syria
Sweden
Switzerland
Taiwan
Tanzania
Thailand
Tunisia
Türkiye Turkiye Turkey
Uganda
Ukraine
United Arab Emirates
United States
Uzbekistan
Venezuela
Vietnam
Yemen
Zambia
Zimbabwe

We can help you meet our English language or academic entry requirements.

View our English language courses

For pre-sessional English preparation courses.

For degree preparation courses.

Visas and immigration advice

Applying for a student visa

Check out our step-by-step guidance.

Course content

Top reasons to choose this course

  • Option of a placement or a research year, allowing you to build practical experience or advanced research skills to help you secure a role in industry or academia when you graduate
  • Specialist facilities including CISCO-certified cyber security and communications lab, usability lab, HPC computing, specialist software including Python, R, SAS and ML libraries. 
  • Study core topics including machine learning, deep learning, responsible AI, algorithmic bias, cyber security and data science.
  • Learn with staff whose expertise spans machine learning in statistics, data science, AI, and applied research.
  • Build practical AI and machine learning expertise and apply it to real industry scenarios.
  • Benefit from links with employers and external partners across sectors including health, finance, and energy.
Students working on computers

Syllabus

Modules

  • Emerging Topics in AI and Cyber Security
  • Machine Learning
  • Neural Networks and Deep Learning
  • Extended MSc Project

Options


  • Statistical Learning
  • Data Analytics with SAS

 

*Option modules are indicative and may change, depending on timetabling and staff availability.

 

 

 

Two User Experience MSc students working with humanoid robot

Placement or research year

Placement

The placement option offers a year of work experience to enhance your career opportunities and deepen knowledge of your specialist area. You’ll be assessed with feedback throughout the year to give you the chance to reflect on your experience and help prepare you for your future career.

Research 

You will undertake in-depth independent research in aligned with the expertise of the course team and distinct from taught modules and final project. You will critically analyse complex concepts theories and evidence and gain advanced research skills to prepare you for further study or research-led professional roles.

Woman in front of a computer screen looking at code

Staff profile

, course leader

“Central to my approach as course leader is the emphasis on collaboration and interdisciplinary learning. I believe that data science is inherently interdisciplinary, drawing from fields such as statistics, machine learning, computer science and domain-specific knowledge. Therefore, I strive to create opportunities for students to work collaboratively on projects that mirror real-world scenarios where they can leverage their diverse backgrounds and expertise to tackle complex challenges.

“Through teamwork, peer-to-peer learning and engagement with industry partners, students gain invaluable teamworking and communication skills that are essential for success in today’s data-driven world.

“In addition to teaching, my research focuses on developing innovative statistical methods, which I distribute as open-source software (R packages) and apply in interdisciplinary projects.

“As a Fellow of the Royal Statistical Society and Treasurer of the British and Irish Region of the International Biometric Society, I am heavily involved in professional development activities, participating in conferences, workshops and collaborations within the data science community.”

  
Headshot of Anestis Touloumis looking at the camera wearing a checked shirt

Careers

What you can do with this degree 

This Artificial Intelligence and Machine Learning MSc prepares you for careers at the forefront of intelligent systems, data-driven technologies, and advanced computational innovation.

You will graduate with the technical confidence and specialist skills to design, develop and apply AI and machine learning solutions across a range of sectors, including healthcare, finance, transport, smart technologies, and research and development.

 

 

 

Typical career paths include:

  • AI engineer
  • machine learning engineer
  • data scientist
  • AI developer
  • computer vision specialist
  • natural language processing specialist
  • research and development engineer in AI and machine learning.

Further study

This MSc also prepares you for PhD-level research in areas such as artificial intelligence, machine learning, computing and data science.

 

 

 

 

Skills that prepare you for work

  • AI and machine learning expertise – build strong foundations in algorithms, learning methods, and intelligent system design for applied applications.

  • Data analysis and modelling – learn how to work with complex datasets, identify patterns, and develop predictive solutions.

  • Machine learning and deep learning – gain practical experience in training, evaluating, and applying models across a range of contexts.

  • Natural language processing and intelligent systems – explore how AI can be used to process language, support decisions, and automate tasks.

  • Computer vision – develop knowledge of how AI systems can interpret and analyse visual information.

  • Responsible AI – understand the ethical, social, and professional considerations involved in AI development and deployment.

  • Programming and technical development – strengthen your ability to design, build, test and refine AI and machine learning solutions.

  • Research-informed problem-solving – apply analytical and computational methods to complex challenges, informed by current research and practice.

  • Emerging technologies insight – engage with current developments in AI, machine learning, and data-driven innovation.

  • Optional placement or research year – extend your experience through professional practice or independent research.

Facilities 

Our specialist facilities include:

  • Robotics lab and virtual reality (VR)/ augmented reality (AR) facilities equipped with the latest technology to support research and practical projects.
  • CISCO-certified cyber security and communications lab
  • You will have access to computer and research labs equipped with specialist, sophisticated software including Python, R, SAS and ML libraries
  • High-performance Computing (HPC).
User Experience MSc students 1

Industry links 

We work with a team of professional experts from leading organisations who make up our engineering . The Board contributes to the ongoing development of our courses, advising on content and helping ensure our students develop the skills, knowledge and experience that is most valued by employers.

You benefit from the industrial experiences of our academics and guest lecturers from industry share their insight and knowledge with you, also giving you opportunities to network.

Student wearing glasses looking at her laptop in a classroom

Career support for life 

Beyond your course, our Careers and Employability team are here to support you as you discover (and rediscover) your strengths and what matters to you. We are here for you throughout your university journey as you work towards a fulfilling and rewarding career.

  • Find part-time work that you can combine with your studies.
  • Find, or be, a mentor or get involved with our peer-to-peer support scheme.
  • Develop your business ideas through our entrepreneurial support network.
  • Get professional advice and support with career planning, CV writing and interview top tips.
  • Meet potential employers at our careers fairs.
  • Find rewarding volunteering opportunities to help you discover more about what makes you tick and build your CV.

Whatever your career needs, we are here to help. And that’s not just while you are a student – our support carries on after you’ve graduated.

Find out about careers and employability at 91Ώμ»ξΑΦ.


 

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Fees and costs

Course fees

UK (full-time) 10,242 GBP

International (full-time) 18,792 GBP

Placement year 1,958 GBP

Scholarships, bursaries and loans

We offer a range of scholarships for postgraduate students. Bursaries and loans may also be available to you.

Find out more about postgraduate fees and funding.

The fees listed here are for the first year of full-time study if you start your course in the academic year 2026–27.

You will pay fees for each year of your course. Some fees may increase each year.

UK undergraduate and some postgraduate fees are regulated by the UK government and increases will not be more than the maximum amount allowed. Course fees that are not regulated may increase each year by up to 5% or the Consumer Price Index (RPI), whichever is higher.

If you are studying part-time your fee will usually be calculated based on the number of modules that you take.

Find out more

Location and student life

Campus where this course is taught

Moulsecoomb campus

Two miles north of 91Ώμ»ξΑΦ seafront, Moulsecoomb is our largest campus and student village. Moulsecoomb has been transformed by a recent development of our estate. On campus you’ll find the Students’ Union events venue, and sports and fitness facilities, alongside the library and student centre.

Over 900 students live here in our Moulsecoomb Place halls and the new Mithras halls – Brunswick, Goldstone, Hanover, Preston and Regency.

Moulsecoomb has easy access to buses and trains so you can access all the exciting things happening in our home city.

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Accommodation

We guarantee an offer of a place in halls of residence to all eligible students. So if you apply for halls by the deadline you are guaranteed a room in our halls of residence. Almost all (98%) of students starting their course with us in 2025 got their first or second room choice. 

91Ώμ»ξΑΦ: Moulsecoomb

Halls of residence

We have self-catered halls on all our campuses, within minutes of your classes, and other options that are very nearby.

You can apply for any of our halls, but the options closest to your study location are:

  • Mithras Halls are stylish high-rises in the heart of the student village at our Moulsecoomb campus with en suite rooms for more than 800 students.
  • Varley Park is a popular, dedicated halls site, offering a mix of rooms and bathroom options at different prices. It is around two miles from Moulsecoomb campus and four miles from the city centre, and is easy to get to by bus.

Want to live independently?

We can help – find out more about private renting.

Relaxing in halls

Modern accommodation at Moulsecoomb

Mithras halls room with a view

Relaxing in halls near the campus

Student Union social space

Student Union social space at Moulsecoomb

Local area

One of Time Out's 50 best cities in the world

“91Ώμ»ξΑΦ has… all the important parts of a sprawling cosmopolitan metropolis (connections to London in under an hour, an array of properly excellent restaurants, energetic late-night spots) … with the easy-breezy beachy attitude to life that makes you feel welcome in an instant.”
Time Out’s 50 Best Cities in the World, 2025

About 91Ώμ»ξΑΦ

The city of 91Ώμ»ξΑΦ & Hove is a forward-thinking place which leads the way in the arts, technology, sustainability and creativity. You'll find living here plays a key role in your learning experience.

91Ώμ»ξΑΦ is a leading centre for creative media technology, recently named the startup capital of the UK.

The city is home to more than 1,000 tech businesses. The digital sector is worth over £1bn a year to the local economy – as much as tourism.

All of our full-time undergraduate courses involve work-based learning - this could be through placements, live briefs and guest lectures. Many of these opportunities are provided by local businesses and organisations.

It's only 50 minutes by train from 91Ώμ»ξΑΦ to central London and there are daily direct trains to Bristol, Bedford, Cambridge, Gatwick Airport, Portsmouth and Southampton.

Map showing distance to London from 91Ώμ»ξΑΦ
91Ώμ»ξΑΦ Beach sunset

Maps

Moulsecoomb campus map

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Support and wellbeing

Your course team

Your personal academic tutor, course leader and other tutors are all there to help you with your personal and academic progress. You’ll also have a student support and guidance tutor (SSGT) who can help with everything from homesickness to managing stress and accommodation issues.

Your academic skills

Our 91Ώμ»ξΑΦ Student Skills Hub gives you extra support and resources to develop the skills you’ll need for university study, whatever your level of experience so far.

Your mental health and wellbeing

As well as being supported to succeed, we want you to feel good too. You’ll be part of a community that builds you up, with lots of ways to connect with one another, as well as having access to dedicated experts if you need them. Find out more about how we support your wellbeing.

Sport at 91Ώμ»ξΑΦ

Sport 91Ώμ»ξΑΦ

Sport 91Ώμ»ξΑΦ brings together our sport and recreation services. As a 91Ώμ»ξΑΦ student you'll have use of sport and fitness facilities across all our campuses and there are opportunities to play for fun, fitness or take part in serious competition. 

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Sports scholarships

Our sports scholarship scheme is designed to help students develop their full sporting potential to train and compete at the highest level. We offer scholarships for elite athletes, elite disabled athletes and talented sports performers.

Find out more about sport scholarships.

91Ώμ»ξΑΦ Cricket Academy

Develop your cricketing skills in the UK’s largest indoor cricket facility alongside studying for a degree. Whether you can already play or you’re new to the game offers the opportunity to train with top coaches in our world-class training environment. 

Find out about the 91Ώμ»ξΑΦ Cricket Academy.

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Take a tour of sport facilities on our Falmer campus

Stay in touch

Find out about postgraduate events

Ask a question about this course

If you have a question about this course, our enquiries team will be happy to help.

Tel: 01273 644644

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