Taught course

Data Analytics

Manchester Metropolitan University · School of Computing, Mathematics and Digital Technology

Entry requirements

This course is suitable for numerate graduates across many disciplines. Non-computing graduates are eligible.You will normally have at least a second-class UK Honours degree (or international equivalent) in a STEM (science, technology, engineering, mathematics) or numerate subject area. Exceptionally, a good sub-degree STEM qualification and very substantial work experience in a closely-related area is acceptable.

Months of entry


Course content


This course is suitable for numerate graduates across many disciplines. Non-computing graduates are eligible.

This course provides students with the ability to solve business problems and obtain actionable business insight using analytics. The focus of data analytics is on the movement, analysis and interpretation of data and how derived advanced information can inform business strategy. The programme will firstly, prepare students to work with a variety of complex, structured and unstructured data in the business environment, using appropriate statistical and computational skills and technologies. Secondly, it will enable them to articulate insights confidently when presenting reports and visualizations.

Driven by market demands data analytics focuses on the movement and interpretation of data, typically with a focus on the past and present in the business context, data analytics graduates will develop skills to apply qualitative and quantitative techniques and processes used to enhance productivity and business gain.

Core units

  • Business intelligence;
  • Computational statistics and visualisation;
  • Data analytics project.

Option units

  • Data management and machine learning
  • Business analytics
  • Emerging technologies for the enterprise
  • Strategic information systems and technology

Not all optional units may run each year.

Career prospects

There has been a UK increase in demand of 28% for data analytic themed jobs since 2013 to 2015 and Britain is expected to create an average of 56,000 new big data jobs a year until 2020. There is currently a skills shortage in this field which is forecast to increase significantly up to 2020. McKinsey and Company reports that by 2018, there will be 140,000-190,000 job postings by companies that they are unable to fill due to the lack of expertise.

The range of roles envisaged for graduates from this degree include, but are not limited to:

  • Data analyst;
  • SQL data analyst;
  • Data quality analyst;
  • Insight data analyst;
  • Business intelligence analyst;
  • Data applications management;
  • Statistical data Analyst.

Careers support is available from the moment you join us, throughout your time here, and for up to three years after the completion of your course. We have a range of services available through the school of computing, mathematics and digital technology and the University careers service including dedicated careers and employability advisors.

Professional Accreditation

The school is an educational affiliate of the British computing society – the chartered Institute for IT in the UK (BCS), a member of the oracle academy and an academy for the computer technology industry association (CompTIA). Many of the school’s degree programmes are accredited by BCS.

The school is also an academic partner of the Institute of information security professionals who recognise our expertise in the field of information and cyber security. Mathematics degree courses are approved by the institute of mathematics and its applications.

Information for international students

For more information to support your studies in the UK, including course details, how to apply, and living in the UK visit our website.

Fees and funding

UK students
Full-time UK/EU £7,560. Part-time UK/EU £2,520 per year.
International students
Non-EU international £13,050. MSc = 180 credits.

Please check the latest postgraduate prospectus for information on the tuition fees for each course. For further information on potential sources of funding for postgraduate students, visit our website.

Qualification and course duration


part time
36 months
full time
12 months

Course contact details

Course Enquiries
+44 (0)161 247 6969