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Big Data Science and Technology MSc

Big Data Science and Technology MSc

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Technology Database Management Informatics Data Analysis

Course type

Taught

Course Summary

Overview

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.

Learning and assessment

You'll learn through a mixture of formal lectures, practical lab sessions, tutorials and seminars.

Some modules involve supervised group work, usually with an assigned academic staff member for each group.

Most modules are related to research in the school.

All modules require students to undertake independent study, supported through distance learning technologies such as our Virtual Learning Environment. Reading lists and suggested resources for independent study provide further direction for students to undertake this work, and regular contact hours and informal feedback throughout the courses provide opportunities for further guidance for learners.

Assessments for modules mostly take the form of practical coursework, lab tests and written exams, with all forms being well represented across all modules.

Career prospects

Big data is a major area for future growth and investment. As the global big data industry continues to grow year after year we continue to grow our programme, and continue to produce future leaders in an exciting and rewarding field.

Different course options

Full time | University of Bradford | 1 year | SEP-20

Study mode

Full time

Duration

1 year

Start date

SEP-20

Modules

The aim of this module is to introduce basic programming skills through a modern object-oriented programming language, design methods and tools.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£8,570

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£19,890

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Students need to have a 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, dependant on the modules taken) 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.

University information

The University of Bradford uses technology to benefit society through its teaching and research. There are world-class facilities on site, and students enjoy a high-tech learning environment at this city centre university. The University employs industry-leading academics for its courses and has been conducting ground-breaking research for over 50 years. The campus is one of the most sustainable in the UK. Buildings are made using hemp, and...more