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Advanced Computer Science (Cloud Computing) MSc


Course Description

Developments in cloud computing technology are transforming the way we live and work. This programme will equip you with specialist knowledge in this fast-growing 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 specialist modules in advanced distributed systems – especially cloud techniques, technologies and applications.

Building on your existing knowledge of computer science, you’ll also choose from optional modules in topics across computer science. You could look at emerging approaches to human interaction with computational systems, data mining and functional programming among others.

The programme will give you the theoretical and practical skills required to design and implement larger, more complex systems using state-of-the-art technologies. You’ll even have the chance to work as an integral member of one of our research groups when you develop your main project.

Specialist facilities

You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.

We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.

Course content

Core modules in Semester 1 will lay the foundations of the programme by giving you an understanding of the key topics of algorithms and systems programming. Throughout the year you’ll also take modules developing your understanding of cloud computing itself, from designing the high-level framework of a distributed system to big data and the “internet of things”.

From there you’ll have the chance to tailor your studies to suit your own preferences. You’ll choose from a wide range of optional modules on diverse topics such as image analysis, machine learning, semantic technologies and developing mobile apps.

Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Want to find out more about your modules?

Take a look at the Advanced Computer Science (Cloud Computing) module descriptions for more detail on what you will study.

Course structure

Compulsory modules

  • MSc Project 60 credits
  • Cloud Computing 15 credits

Optional modules

  • Web Services and Web Data 10 credits
  • Distributed Systems 10 credits
  • Mobile Application Development 10 credits
  • Machine Learning 10 credits
  • Information Visualization 10 credits
  • Data Mining and Text Analytics 10 credits
  • Combinatorial Optimisation 10 credits
  • Secure Computing 10 credits
  • Graph Algorithms and Complexity Theory 10 credits
  • Big Data Systems 15 credits
  • Data Science 15 credits
  • Bio-Inspired Computing 15 credits
  • Knowledge Representation and Reasoning 15 credits
  • Algorithms 15 credits
  • Parallel and Concurrent Programming 15 credits
  • Data Mining and Text Analytics 15 credits
  • Semantic Technologies and Applications 15 credits
  • Image Analysis 15 credits
  • Scheduling 15 credits
  • Scientific Computation 15 credits
  • Graph Theory: Structure and Algorithms 15 credits

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.

Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

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.

Projects

The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.

Recent projects for MSc Advanced Computer Science (Cloud Computing) students have included:

  • Intelligent services to support sensemaking
  • Google cloud data analysis
  • Hadoop for large image management
  • Evaluating web service agreement in a cloud environment

A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.

Career opportunities

Computing is an essential component of nearly every daily activity, from the collection, transformation, analysis and dissemination of information in business, through to smart systems embedded in commodity devices, the image processing used 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 gain entry into many areas of applied computing, working as application developers, system designers and evaluators; but further, 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, wed 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.


Visit the Advanced Computer Science (Cloud Computing) MSc page on the University of Leeds website for more details!

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Student Profiles
(Scholarship)

Head of School Scholarship - School of Computing (International applicants) - 20+ Awards

This is an automatic scholarship worth £3,000 and awarded on condition of you achieving an upper second class undergraduate degree, or equivalent.Applicants must be self-funding, full time and classified as international for tuition fee purposes and not be in receipt of any other University of Leeds award.

Value of Scholarship(s)

£3,000

Eligibility

Any international applicant who has been offered a place on any of the postgraduate masters courses within the School of Computing (the applicant must also be liable to pay full fees at the international rate of £16,800 and not be in receipt of any other University of Leeds award).

Application Procedure

No deadline - automatic

Further Information

http://www.engineering.leeds.ac.uk/computing/postgraduate/masters-courses/scholarships.shtml


(Scholarship)

Alumni Bursary - 20+ Awards

The University will pay 10% of your fees for each year of the course. If no fees paid then no bursary is awarded. This bursary is open to students who are commencing their studies from September 2013 and can not be awarded retrospectively. To receive this bursary you must not be in receipt of any other Faculty of Engineering award or scholarship.

Value of Scholarship(s)

10% of your fees for each year of the course

Eligibility

Any former student of the University of Leeds who studies a postgraduate qualification in the Faculty of Engineering.

Application Procedure

This is an automatic bursary but you have to inform us and provide evidence that you are former students of the University of Leeds.

Further Information

http://www.engineering.leeds.ac.uk/faculty/postgraduate/masters-courses/fees-scholarships/index.shtml


(Scholarship)

First Class Scholarship (Home/EU applicants) - 20+ Awards

This is an automatic scholarship awarded on condition of you achieving a first class degree, or equivalent. Applicants must be self-funding, classified as home/EU for tuition fee purposes and not be in receipt of any other University of Leeds award.

Value of Scholarship(s)

£1,000

Eligibility

Any home/EU applicant who has been offered a place to study on any of the postgraduate masters courses within the Faculty of Engineering.

Application Procedure

No deadline - automatic

Further Information

http://www.engineering.leeds.ac.uk/faculty/postgraduate/masters-courses/fees-scholarships/index.shtml



Entry Requirements

A bachelor degree with a 2:1 (hons) in computing or a related subject with a substantial computing element. Relevant work experience will also be considered. We expect you to have programming competence, some prior experience of systems development and knowledge of data structures and algorithms. All applicants will need to have GCSE English Language at grade C or above, or an appropriate English language qualification. English language requirements: IELTS 6.5 overall, with no less than 6.0 in any component..

Last Updated

09 August 2017

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