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MSc PG Dip Cloud Computing

  • DeadlineStudy Details:

    MSc/PGDip 12-28 months, full-time

Course Description

Cloud computing offers scalable computing resources on demand, providing solutions and challenges for science and business. Amongst others, the opportunities include a low cost entry point for small companies, more economical use of computing resources and the capability of handling very large data sets. Challenges for practitioners include the design and use of suitable algorithms, the design and implementation of suitable architectures and understanding of risks and opportunities. This MSc will provide a sound understanding of designing, analysing and engineering of systems for handling big data in a distributed environment based on dynamically scalable architectures.

Entry Requirements

2:1 degree (or equivalent) in a relevant subject with a substantial element of Computing. Relevant work experience may also be considered.

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

There are a number of possible sources of funding: loans and grants, bursaries and scholarships.

Student Destinations

All our postgraduate Informatics degrees are available ‘with industry’: stimulating your creativity and capacity to innovate, and ensuring that you acquire key transferable skills. These courses will allow you to develop into a highly skilled professional, well versed in advanced methods and tools. Colleagues from industry participate directly in the delivery of some of the modules, including hands-on tutorials that allow you to use some of the tools and methodologies that are shaping the software development landscape.

We have an open approach to collaboration with industry. We undertake joint projects, provide consultancy services, and organise events to connect you with potential employers. We also run an Industrial Advisory Board: its members are computer scientists who hold successful careers in industry and who help us ensure that your training is industrially relevant.

Module Details

Semester 1

Core modules

  • Advanced Web Technologies
  • Internet and Cloud Computing
  • Personal and Group Skills – this can be taken in either Semester

Option modules

Choose two option modules from:

  • Computational Intelligence and Software Engineering
  • Software Measurement and Quality Assurance
  • Mobile and Web Applications
  • Advanced C++ Programming
  • Advanced Web Technologies
  • Agile Cloud Automation
  • Internet and Cloud Computing
  • Interaction Design (ID) and User Experience (UX)
  • Mobile and Ubiquitous Computing
  • Operational Research

Semester 2

Core modules

  • Service-Oriented Architectures
  • Personal and Group Skills – this can be taken in either Semester

Option modules

Choose three option modules from:

  • Analysis of Algorithms
  • Big Data and Predictive Analytics
  • Foundations of Cybersecurity
  • AI for Space
  • Algorithms for Bioinformatics
  • Service Design

Optional Industry Placement

Individual Project

University of Leicester Campus

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