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Different course options

Full time | Mile End | 1 year | 18-SEP-23

Study mode

Full time

Duration

1 year

Start date

18-SEP-23

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Computer Science

Course type

Taught

Course Summary

This flexible programme offers a broad range of advanced study options, reflecting the emerging technologies in industry. The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector.

  • Shape your programme to match your interests and career ambitions
  • Ideal for students with a good first degree in electronic engineering, computer science, maths or a related discipline
  • Work with the most up-to-date technologies - each topic is backed up by our world-leading research centres and groups
  • Fully meet the academic requirement for registration as a Chartered IT Professional on this BCS, Chartered Institute for IT, accredited course

Facilities

The School has excellent bespoke facilities, including:

  • Augmented human interaction (AHI) laboratory
  • Informatics teaching laboratory with 350 state-of-the-art computers
  • Antenna measurement laboratory
  • Media and arts technology studios (Performance lab, control room, listening/recording room)
  • Robotics laboratory (ARQspace)

Career paths

The broad range of skills gained through programmes in this School, coupled with multiple opportunities for extra-curricular activities and work experience, has enabled postgraduates to move into roles such as:

  • Head of development
  • Engineering manager
  • Lecturer
  • IT consultant
  • Project manager
  • IT developer
  • Mobile developer
  • Technical assistant
  • Analyst

Modules

In this module, student will learn to process XML (with XSLT and Java), to model data with XML (XML native, RDF), and to query XML data (XQuery). The module teachnes many concepts of data modelling and knowledge representation that are beyond the syntactic issues of XML or RDF. The knowledge students acquire in the course is fundamental to the many data design and data analytics tasks occurring in todays IT and business landscapes. The second part of the module is dedicates to advanced DB concepts including active databases, mobile databases, spatial and temporal databases, triggers, performance tuning, distributed databases, indexing and query optimisation. The third part of the module covers the modern, agile world of data processing: NoSQL. It is about the processing of semi-structured data, transforming data streams into formats (triplets, JSON) to be processed by new DB systems (e.g. MongoDB, CouchDB). Overall, students will learn in this module to solve data and information management tasks as they typically occur in today's IT landscape.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

11,850

International fees
Course fees for EU and international students

For this course (per year)

27,250

Entry requirements

Students need to have a 2:1 or above at undergraduate level in Electronic Engineering, Computer Science, Mathematics or a related discipline. Good 2:2 degrees are considered on an individual basis.

University information

Queen Mary University of London (QMUL) is an internationally regarded public research institution based in London. It has a long history, dating back over 230 years, and is a member of the prestigious Russell Group of universities. QMUL has five campuses in the city of London and an international network of satellite campuses in China, Malta and Paris. There is a population of around 16,000 students at the London campuses and more than 32,000...more

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