Taught course

Business Analytics

Institution
Coventry University · Faculty of Business and Law
Qualifications
MSc

Entry requirements

Applicants will normally hold a good honours degree in a relevant academic discipline. Applications from candidates with relevant experience will be considered on an individual basis.

  • A good second class honours undergraduate degree (minimum 2:2 or higher) in either: business, finance, economics, management science, logistics, engineering, computing or mathematics. Applicants from other degrees may be considered on a case-by-case basis provided they can show strong quantitative ability. A good Arts degree may be considered if you can show strong numeracy and IT ability; or
  • Appropriate work experience in business, public or voluntary sector, together with relevant professional qualifications.

Months of entry

September

Course content

In today’s data-driven world, more and more companies are realising the powerful insight which can be gleaned from analysing all available data and the competitive advantage this can create.

This innovative Master’s programme responds to the growing demand and significant shortage of highly-trained analysts capable of interpreting data to find new patterns and relationships, informing business decisions accordingly. You will learn to generate value from large data sets, which cannot be analysed using traditional techniques.

With over 5,000 students, Coventry University is one of the largest business schools in Europe and has been rated ‘excellent’ by Eduniversal. Our impressive global network is vast and varied. Through guest speakers, industry visits, case studies and internship opportunities, we aim to use these links to share their real-world business experiences and bring you up-to-speed with the issues and challenges facing modern businesses.

Qualification and course duration

MSc

full time
12 months
part time
24 months

Course contact details

Name
Recruitment and Admissions Office
Email
ukpostgraduate@coventry.ac.uk
Phone
+44 (0) 24 7765 4321