Taught course

Advanced Computer Science (Data Analytics)

University of Leeds · School of Computing

Entry requirements

A bachelor degree with a 2:1 (hons) in computer science. Other Computing based degrees may be considered on a case by case basis.

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.

Relevant work experience will also be considered.

We accept a range of international equivalent qualifications. For more information please contact the Admissions Team.

Months of entry


Course content

From science to marketing, engineering to medicine, big data has become crucial to a wide range of industries – especially in recent years. That’s why many organisations are keen to employ qualified experts in computing who have a particular focus in data to keep their businesses progressing.

Our Advanced Computer Science (Data Analytics) MSc will equip you with specialist knowledge in this exciting field and allow you to explore a range of advanced topics in computer science.

You’ll gain a foundation in topics like data science, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like image analysis or text analytics with the chance to broaden your approach with topics like cloud computing.

Studying in our School of Computing gives you access to a whole range of specialist facilities, whilst being taught by academics who are experts in their fields. We’re responsible for producing internationally excellent research and have long-established links in industry and with the Leeds Institute for Data Analytics (LIDA) which is at the forefront of big data research.

Once you’ve graduated, you’ll be fully equipped with the most up-to-date practices and techniques, alongside the technical skill set you’ll need to pursue an exciting career in industry.

Why study at Leeds:

  • Learn the latest innovations in computer science from research produced by the Leeds Institute for Data Analytics and our School’s world-leading research conducted right here on campus that feeds directly into the course.

  • Benefit from studying at a university that is a partner of the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.

  • Advance your knowledge and skills in key areas of computing including data science and machine learning.

  • You’ll gain breadth of expertise in areas like text, symbolic and scientific/numerical data analysis, whilst giving you the opportunity to work as an integral member of one of our research groups when you develop your main project.

  • Tailor the degree to suit your specific interests with a selection of optional modules to choose from such as advanced software engineering, artificial intelligence, algorithms and data mining.

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

  • Access a wide range of industry-standard specialist facilities including a state-of-the-art cloud computing lab, a large High Performance Computing (HPC) resource and a robotics lab with a range of equipment available for specialist MSc projects.

  • Experience expert theoretical and practical teaching delivered by a programme team made up of academics who specialise in a wide range of computing topics.

  • Enhance your career prospects and join our successful alumni who have secured jobs in many excellent organisations worldwide.

  • Study in the Sir William Henry Bragg building, a brand-new development providing excellent facilities and teaching spaces for an outstanding student experience.

Fees and funding

International Masters Excellence Scholarship

These competitive scholarships are awarded in the form of a 25% tuition fee reduction to international candidates who demonstrate outstanding academic achievement. There are limited scholarships available.

See website for full details.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Admissions Team
+44 (0)113 343 2564