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 visualization and exploration.
It is an interdisciplinary programme, designed for students with a first degree in subjects such as:
- Computer Science
- Electrical Engineering
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.
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 fulfill the normal entry requirements but have extensive industrial experience in a related area are considered on an individual basis.
English language requirements
Minimum IELTS 6.0 or equivalent.
If you do not meet the IELTS requirement, you can take a University of Bradford pre-sessional English course.
What you will study
The programme is intended to equip graduates with the cutting-edge knowledge and skills to work in the industry as a Data Scientist, Big Data Architect, or Big Data Analyst.
- Software Development (COS7009-B)
- Big Data Systems and Analytics (COS7006-B)
- Statistical Data Analysis (COS7005-B)
- Data Mining (COS7028-B)
- Dissertation (COS7004-E)
- Information Theory and Data Communication (COS7007-B)
- Business Systems Security (COS7035-B)
- Mobile Application Development (COS7025-B)
- Concurrent and Distributed Systems (COS6012-B)
- Data Visualisation PG (GAV7021-B)
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.
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.
This school offers programs in:
Last updated August 22, 2018