Data Science and Analytics

Entry requirements

A minimum of a lower second class honours degree (2:2) in a scientific or engineering discipline with some exposure to the use of IT, or in an area of computer science or IT with a strong interest in quantitative analysis. If you do not have a formal qualification, but you are already in employment, you may be considered if your role involves the data mining and decision support techniques and technologies deployed in the course.

Applicants are required to submit one academic reference.

Months of entry

September

Course content

This course (previously Business Intelligence and Analytics MSc) addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. The course stretches the artificial intelligence (AI), machine learning (ML) and decision science themes to Business Intelligence, Data Science and Business Analytics.

You will focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, using applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You will also gain a greater understanding of the impact technological advances have on nature and practices adopted within Data Science, Business Intelligence and Analytics, and how to adapt to these changes.

Teaching approaches include lectures, tutorials, seminars, and practical sessions. You will also learn through extensive course work, class presentations, group research work, and the use of a range of industry standard software such as R, Python, Simul8, Palisade Decision Tools, Hadoop, and Oracle.

Information for international students

If your first language is not English you should have an IELTS 6.5 with at least 6.0 in writing.

Fees and funding

This course is eligible for an alumni discount. Find out if you are eligible and how to apply by visiting our Alumni discounts page. As well as tuition fee loans, there is a range of funding available to help you fund your studies.