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Engineering and Technology
Advanced Computer Science (Data Analytics) MSc
Advanced Computer Science (Data Analytics) MSc

Advanced Computer Science (Data Analytics) MSc

  • ID:UOL440301
  • Level:Master's Degree
  • Duration:
  • Intake:

Fees (GBP)

Estimated Total/program:
Apply
60
Accept letter
100
Visa
20
Fly
1

Admission Requirements

Entry Requirement

English Requirement

IELTS 6.5 overall, with no less than 6.0 in any component

Course Information

Big data is becoming more and more important in fields from science to marketing, engineering, medicine and government. This Masters degree 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 systems programming and algorithms, 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, or broaden your approach with topics like cloud computing.

As one of the few schools with expertise covering text, symbolic and scientific/numerical data analysis, we can provide a breadth of expertise to equip you with a variety of skills – and you’ll work as an integral member of one of our research groups when you develop your main project. We also have close links with the Leeds Institute for Data Analytics (LIDA) which is at the forefront of big data research.

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Year 1

Compulsory modules

  • Big Data Systems15 credits

  • Data Science15 credits

  • MSc Project60 credits

  • Machine Learning15 credits

Optional modules (selection of typical options shown below)

  • Web Services and Web Data10 credits

  • Distributed Systems10 credits

  • Mobile Application Development10 credits

  • Information Visualization10 credits

  • User Adaptive Intelligent Systems10 credits

  • Combinatorial Optimisation10 credits

  • Secure Computing10 credits

  • Graph Algorithms and Complexity Theory10 credits

  • Knowledge Representation and Reasoning15 credits

  • Artificial Intelligence15 credits

  • Programming for Data Science15 credits

  • Data Mining and Text Analytics15 credits

  • Cloud Computing15 credits

  • Advanced Software Engineering15 credits

  • Scientific Computation15 credits

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Pre Courses

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Pathway Courses

International Foundation Year

International students who do not meet the academic requirements for undergraduate study may be able to study the University of Leeds International Foundation Year. This gives you the opportunity to study on campus, be taught by University of Leeds academics and progress onto a wide range of Leeds undergraduate courses.

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Career Opportunity

Career Opportunity

Computing is an essential component of nearly every daily activity, from the collection and processing of information in business, through to smart systems embedded in devices, image processing in medical diagnosis and the middleware that underpins distributed technologies like cloud computing and the semantic web.

This programme will give you the practical skills to enter many areas of applied computing, working as application developers, system designers and evaluators. Links between the taught modules and our research provide our students with added strengths in artificial intelligence, intelligent systems, distributed systems, and the analysis of complex data. As a result, you’ll be well-prepared for a range of careers, as well as further research at PhD level.

Graduates have found success in a wide range of careers working as business analysts, software engineers, web designers and developers, systems engineers, information analysts and app developers. Others have pursued roles in consultancy, finance, marketing and education, or set up their own businesses.

Ability to settle

Overseas Student Health Cover

300 GBP/year

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