Big Data and Business Intelligence
Entry requirements
You should have an honours degree 2:2 or above in computing-related subject or in a suitable numerate subject (e.g. mathematics, physics, engineering, information systems or multimedia) that includes software development experience.
OR substantial commercial/industrial experience including software development using modern programming languages and design.
For more information, use our contact form or call us on 020 8331 9000.
You can also read our admissions policy.
Months of entry
January, September
Course content
Gain a competitive advantage with this Master’s in Big Data and Business Intelligence - one of the first MSc courses in the UK to cover this cutting-edge technology.
This innovative master's course provides you with the skills to contribute to the design and development of big data systems as well as distributed / internet-enabled decision support application software systems.
We focus on modern engineering methods, tools, and techniques, including data analytics, machine learning, business intelligence, data mining. You will also have the opportunity to learn programming languages such as Python and R. Our software engineering approach to building applications helps you to develop a life-cycle view of software development.
Drawing on our research excellence in this area, this innovative course in big data and business intelligence is designed to give you a competitive advantage in this fast-growing business domain.
Please visit our website for more information about this course.
Information for international students
Please visit our website for more information for international students.
Fees and funding
Please visit our website for funding information.
Please visit the course page on our website for fees details specific to this course.
Qualification, course duration and attendance options
- MSc
- part time24 months
- Campus-based learningis available for this qualification
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Course Enquiry
- Phone
- 020 8331 9000