Taught course

Big Data Science and Technology

Institution
University of Bradford · School of Electrical Engineering and Computer Science
Qualifications
MSc

Entry requirements

2:2 or above in computer science, computer engineering, informatics or other computer-related subjects (including management disciplines such as finance, economics, business studies etc.) from an approved degree-awarding body.

Candidates who do not fulfil the normal entry requirements but have extensive industrial experience in a related area are considered on an individual basis.

Months of entry

September

Course content

Develop the skills you need for a career in this fast emerging field of data science.

This programme will deepen your understanding of advanced software development, systems for big data analytics, statistical data analysis, data mining, data privacy and security, data visualisation and exploration.

It is an interdisciplinary programme, designed for students with a first degree in subjects such as:

  • Computer Science
  • Electrical Engineering
  • Mathematics
  • Physics
  • Economics

Our teaching is strongly linked to research within the Faculty of Engineering and Informatics, which includes aspects of applied computing, theoretical computer science, and communications and networks. Statistical analysis of data across various disciplines is a central theme of our research.

You can tailor your studies to particular areas of interest or career aspirations through our range of optional modules, and in the final dissertation (which is a significant piece of project work).

On graduation you’ll be ready and able to develop solutions to challenges in big data analytics and big data systems.

Qualification and course duration

MSc

full time
12 months
part time
24 months

Course contact details

Name
Postgraduate Admissions
Email
admissions@bradford.ac.uk