Advanced Computer Science (Data Analytics) at University of Leeds - UCAS

University of Leeds

Degree level: Postgraduate

Advanced Computer Science (Data Analytics) (Taught)

Course options

Course summary

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.
  • Make the most of your time at Leeds by joining CompSoc, where you can meet like-minded undergraduate and postgraduate students in the School of Computing through fortnightly events covering a range of activities including socials, sports and Hackathons!

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.

Entry requirements

A bachelor degree with a 2:1 (hons) in computer science or a comparable subject with a substantial computing element. Relevant work experience will also be considered. We expect you to have significant programming competence and prior experience of systems development and knowledge of data structures and algorithms.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Fees are listed on our website: Scholarships: International Masters Excellence Scholarship:
Advanced Computer Science (Data Analytics) at University of Leeds - UCAS