Skip navigation

Advanced Computer Science (Artificial Intelligence) (Taught)

Course details
  • MSc
  • 12 Months
  • Full-time
  • September 2026
  • Postgraduate
Course location
University of Leeds

Course summary

Step into the future of intelligent technology with an MSc that empowers you to shape the next generation of AI and build technical skills that’ll help drive the breakthroughs of tomorrow.

From autonomous vehicles and adaptive networks to intelligent software that reshapes how organisations operate, AI is redefining every sector.

The world needs specialists who don’t just understand these systems but can push them further. That’s where you come in.

On this MSc, you’ll explore the full spectrum of intelligent systems – from machine learning and reasoning to image processing, language and bio‑computation.

Our academics in the School of Computer Science are active innovators in their fields, meaning you’ll be learning the latest methods, breakthroughs and real‑world applications shaping the AI landscape right now.

The Sir William Henry Bragg Building will be your home as a computer science student, giving you access to a range of specialist facilities that’ll allow you to put theory into practice – and make your own discoveries.

Ultimately, you’ll graduate with the understanding and skills you’ll need to thrive in the rapidly expanding intelligent-tech sector.

"There are so many great opportunities at university, especially at Leeds, that you’ll never get elsewhere. You will learn so many skills on the course, but make sure to delve into the other opportunities at university and across Leeds. Make the most of living in the best city in the UK!"

Ben Swift, Advanced Computer Science MSc

Why study at Leeds

  • Globally-renowned research: This feeds directly into your course, shaping your learning with the latest thinking in everything from AI to biomedicine, algorithms to computational engineering – and beyond.

  • Unique professional partnerships: Benefit from studying at a university that’s partnered with the Alan Turing Institute, the UK’s national institute for data science and AI.

  • Tailor your degree: Choose from a wide range of optional modules to suit your specific interests, such as advanced data science, advanced software engineering and data mining.

  • Build real-world industry experience: Conduct your own individual project, which focuses on an industry-led topic of your choice, giving you the chance to develop professional skills in research and critical thinking.

  • Access industry-standard specialist facilities: You'll get to use our state-of-the-art cloud computing lab, a large High-Performance Computing (HPC) resource and a visualisation lab, including a Powerwall, benchtop display with tracking system, WorldViz PPT optical tracking system and InterSsense InertiaCube orientation tracker. Take a virtual tour.

  • Bring your skills to life outside the classroom: Our extra-curricular activities include a 24-hour hackathon backed by industry sponsors and CompSoc, a hands-on integrated design project, the UKIEPC national programming competition hosted on campus, building a rocket with the Leeds University Rocketry Association or attending the British Computing Society’s Women Lovelace Colloquium.

Rankings and awards
Top 100 in the world, QS World University Rankings 2026

Careers support
Top 10 most targeted for 10+ years by the UK's leading employers, The Graduate Market 2026, High Fliers Research

At Leeds, we help you to prepare for your future from day one.

Our Careers Service has the global expertise and sector-spanning industry partnerships that, combined, go way beyond simply helping you get a job. They provide you with the resources you need to upskill and achieve the future you aspire towards – even in the face of lightning-paced change.

Assessment method

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Open days

Entry requirements

A bachelor degree with a 2:1 (hons) in computer science. We require all applicants to have studied a breadth of relevant modules including significant programming, systems development, data structures and algorithms, with strong marks across all these modules.

Applicants with any of the following will be considered on a case-by-case basis:

A bachelor degree with a 2:1 (hons) in other Computing-based degrees
Professional qualifications and relevant experience.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

Fees are listed on our website: https://courses.leeds.ac.uk/i537/advanced-computer-science-artificial-intelligence-msc

Scholarships:

International Masters Excellence Scholarship: https://eps.leeds.ac.uk/computing/dir-record/scholarships/4524/school-of-computing-international-masters-excellence-scholarship

Like this page