Data Science and Analytics MSc

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.

If your first language is not English you should have an IELTS 6.5 with no element below 6.0.

Applicants are required to submit one academic reference.

Recognition of prior learning and experience

If you have previously studied at university level, or have equivalent work experience, academic credit may be awarded towards your course at Westminster. For more information, visit our Recognition of Prior Learning page.

Application process

Visit our How to apply page for more information on:

• the application process
• what you need to apply
• deadlines for applications

Months of entry

January, 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

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.

If your first language is not English you should have an IELTS 6.5 with no element below 6.0.

Applicants are required to submit one academic reference.

Application process

Visit our How to apply page for more information on:

• the application process
• what to include with your application
• deadlines for application and enrolment

More information

• Country-specific entry requirements
• English language requirements
• Visas and advice
• Fees and scholarship information

University preparation courses

Our partner college, Kaplan International College London, offers Pre-Master’s courses that may help you gain a place on a postgraduate degree at Westminster.

To find out more, visit University preparation courses.

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.