Taught course

Data Analytics

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

Entry requirements

Open to non-computing graduates with at least a second-class honours degree in a STEM (Science, Technology, Engineering or Mathematics) or a numerate discipline, or to applicants with a good sub-degree STEM qualification and substantial relevant work experience in a closely related area.

Months of entry

September

Course content

Description

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

Driven by market demands, this course examines movement and interpretation of data with a focus on the business context, enabling you to obtain actionable business insight and solve business problems using analytics.

Working with a variety of complex, structured and unstructured data in the business environment, and using appropriate statistical and computational skills and technologies, you will focus on the movement, analysis and interpretation of data and how derived advanced information can inform business strategy. You will be able to articulate insights confidently when presenting reports and visualisations.

Business intelligence plays a key role in the strategic planning process and overall success of an organisation. You will learn how to use commercial statistical software to analyse and interpret real-life business data.


Core units

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


Option units

Choose one from each pair:

  • Data Management and Machine Learning or Business Analytics
  • Emerging Technologies for the Enterprise or Strategic information Systems and Technology

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.

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 www.mmu.ac.uk/international

Fees and funding

UK students
Please check the website for the latest fee information
International students
Please check the website for the latest fee information

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 http://www2.mmu.ac.uk/study/postgraduate/fees/

Qualification and course duration

MSc

full time
12 months

Course contact details

Name
Course Enquiries
Email
courses@mmu.ac.uk
Phone
+44 (0)161 247 6969