Royal Holloway, University of London

Royal Holloway, University of London

Distributed and Networked Systems

The digital revolution is increasing the power, scope and importance of computer systems at a rapid pace. Software-enabled systems are everywhere, with Distributed and Networked Systems underpinning the economy, society and infrastructure. Study Distributed and Networked Systems at Royal Holloway, University of London and you'll gain detailed knowledge of the principles, methods and techniques required for developing systems including sensor and actuator networks, cyberphysical systems, patient-centred healthcare and disaster recovery systems. This flexible programme has been developed for graduates with a background in Computer Science or Engineering, giving you the chance to further hone your knowledge and skills. A wide range of exciting optional modules let you tailor your learning to your own strengths and interests, with electives including Information Security, Data Analysis and Online Machine Learning to choose from. You'll study in a department renowned for the quality of its research, and have an opportunity to contribute to this leading research culture through your Individual Project. Through your studies you will develop transferable skills and knowledge including open source and cloud tools for scalable data storage, contemporary network management technologies, relational databases and microcontroller devices. The skills you'll develop as a student of Distributed and Networked Systems will make you a highly employable candidate in a number of different fields. You'll graduate in a strong position to progress to PhD study, while Royal Holloway's proximity to the M4 corridor - also known as 'England's Silicon Valley' - offers excellent networking and placement opportunities for graduates. - Study in a highly regarded department, ranked 11th in the UK for the quality of its research publications (Research Excellence Framework 2014). - Benefit from strong industry ties, with close proximity to England's Silicon Valley'. - Graduate with a Masters degree with excellent graduate employability prospects. - Tailor your learning with a wide range of engaging optional modules. - Choose from a one-year programme structure or an optional year in industry.

Entry requirements

- A minimum of a 2.1 UK Honours degree or overseas equivalent in Computer Science, Engineering or other subjects that include a strong element of both mathematics and computing.

- Relevant professional qualifications and relevant experience in an associated area will be considered.

English language requirements:
IELTS score of 6.5 overall with a minimum 5.5 in all subscores.

Course modules

Mandatory modules: Individual Project, Interconnected Devices, Advanced Distributed Systems, Wireless, Sensor and Actuator Networks. A range of optional modules are also available.

Assessment methods

Assessment is carried out by a variety of methods including coursework, examinations and a dissertation

Qualifications

Qualification Study mode Start month Fee Course duration
MSc Full-time September 2017 GBP 8,300 per Year 1 (Channel Islands) 1 years
MSc Full-time September 2017 GBP 8,300 per Year 1 (EU) 1 years
MSc Full-time September 2017 GBP 8,300 per Year 1 (England) 1 years
MSc Full-time September 2017 GBP 18,500 per Year 1 (International) 1 years
MSc Full-time September 2017 GBP 8,300 per Year 1 (Northern Ireland) 1 years
MSc Full-time September 2017 GBP 8,300 per Year 1 (Scotland) 1 years
MSc Full-time September 2017 GBP 8,300 per Year 1 (Wales) 1 years
MSc Part-time September 2017 GBP 8,300 per Year 1 (Channel Islands) 2 years
MSc Part-time September 2017 GBP 8,300 per Year 1 (EU) 2 years
MSc Part-time September 2017 GBP 8,300 per Year 1 (England) 2 years
MSc Part-time September 2017 GBP 18,500 per Year 1 (International) 2 years
MSc Part-time September 2017 GBP 8,300 per Year 1 (Northern Ireland) 2 years
MSc Part-time September 2017 GBP 8,300 per Year 1 (Scotland) 2 years
MSc Part-time September 2017 GBP 8,300 per Year 1 (Wales) 2 years

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