Funded Scholarship MSc Big Data Science and Technology

All UK vacanciesMastersFunded Scholarship MSc Big Data Science and Technology

Computer Science,Computer Science,Software Engineering,Information Systems,Engineering and Technology,Electrical and Electronic Engineering,Information Management and Librarianship,Information Science

Short info about job

Company: University of Bradford

Salary: Please see details below

Hours: Full Time

Contract type: Fixed-Term/Contract

Type / Role: Masters

Phone: +44-1346 6458831

Fax: +44-1379 4468933

E-mail: N\A


Detail information about job Funded Scholarship MSc Big Data Science and Technology. Terms and conditions vacancy

Qualification type: F/T MSc self-funding Home/EU candidates

Study Subject: MSc Big Data Science and Technology

Location: University of Bradford, UK

Funding for: Home/EU students

Funding Amount: £7,750 p.a. Home/EU tuition fee for 1 year

Start date: September 2017

Duration: 1 year

How to Apply: please complete the application form here and return it to [email protected].


The University of Bradford is offering the Professor Rae Earnshaw Scholarship in Big Data for an outstanding, self-funding candidate paying Home/EU fees, who has registered for our MSc Big Data Science and Technology programme for September 2017 start. The criteria for selection are academic excellence and financial need ( ). This programme, delivered by leading academics in their subjects, will deepen your understanding of software development and systems for big data analytics, statistical data analysis, data mining, data privacy and security, data visualisation and exploration. MSc Big Data Science and Technology is accredited by the British Computer Society BCS - The Chartered Institute for IT for full CITP (Chartered IT professional) and partial CSci status.

As an MSc student you will join our high quality postgraduate taught and research team that includes other MSc and PhD students, post-doctoral researchers and academic staff. You will also have opportunities to attend our long-standing research seminars and industry talks organised by the research groups, and benefit from the successful AAA (Advanced Automotive Analytics) Research Institute, the Cyber Security Interdisciplinary Centre, the Digital Health Enterprise Zone, the Internet of Things lab and Computing Enterprise Centre’s industry inspired and research projects in Big Data, Open Data, Smart Cities and Internet of Things. We partner with top Smart Cities in Europe in research and knowledge transfer projects, such as the European North Sea Interreg SCORE: Smart Cities + Open data RE-use that will offer you opportunities to develop your dissertation for cutting edge big data challenges within an international top collaborative environment. For example, this year’s student project portfolio processed data from NHS Bradford Trusts, Bradford Metropolitan City Council, Digital Health Enterprise Zone, British Geological Survey and the British Library, stock market as well as open data, AAA Research Institute and international research projects (such as EC SEURAT-1 COSMOS). The University of Bradford is also offering comprehensive doctoral training programme.

Emeritus Professor Rae Earnshaw is a leading scientist with the University of Bradford who is donating the scholarship to cover the cost of the tuition fee at Home/EU level in the Postgraduate Computer Science specialism area. The University of Bradford continues to be a pioneer in the area of Computer Science within higher education in the UK, offering a wide spread of courses at an undergraduate and postgraduate level as well as undertaking research that creates a positive impact to society and academia.

Entry Requirements:

The successful candidate will have a first class degree in a relevant topic and will be registered for the MSc Big Data Science and Technology programme to start in September 2017. The programme details are available at:

How to apply:

Please email the application form and your University of Bradford candidate number to [email protected].

For informal enquiries please email the MSc Big Data Science and Technology Programme Leader Professor Apostol Vourdas ([email protected]) and [email protected].

The deadline for applications is 10th September 2017.

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