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.

Overseas applicants will require IELTS with an overall score of 6.5 with no less than 5.5 in any category, or an equivalent accepted English qualification. Accepted English qualifications can be viewed here.

Months of entry

September

Course content

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

Data is everywhere. With the advance in digital and computing technology, our ability to collect and store information has grown exponentially. But so has our capacity to analyse and interpret it. With this masters you’ll build the analytical skills and techniques to unlock the secrets of big data – information that can be used to solve complex issues and drive strategic decision-making in business.

You’ll study three core units. The Computational Statistics and Visualisation unit will get you fully up to speed with the statistical techniques and software you’ll need. In the Business Intelligence unit you’ll learn how to put that software to use with real-life business data. You’ll then be ready for your Data Analytics Project, an end-to-end task that covers all the bases you’ll come across in the workplace.

Throughout it all, you’ll learn from professional staff with relevant industry experience. They’ll not only support your learning but also give you practical insights into the world of work.

It’s all about turning you into an expert. The rest is up to you. With specialist knowledge and technical skills that are valuable across a wide range of businesses and sectors, you’ll be well placed to succeed in this high-growth industry.

Core units

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


Option units

Choose one from each pair:

  • Data Modelling and Analysis then Organisational Strategy for Information Systems
  • Data Modelling and Analysis then Business Statistics


Career prospects

Right now, according to McKinsey & Co, there are 140,000–190,000 posts in data analytics that companies cannot fill. This number is forecast to grow until 2020, with an average of 56,000 new big data jobs created each year. With a skills gap like this, the opportunities are boundless.

The advanced skills and understanding you’ll develop on our MSc course can take you into data analytics roles across a range of industries, in both the public and private sectors. You could apply for jobs like SQL data analyst, data quality analyst, insight data analyst, business intelligence analyst and statistical data analyst, to name a few.

You’ll have the specialist support of our careers service from day one, and for three years after you leave us. Between the services available through the School of Computing, Mathematics and Digital Technology and the University’s Career Service, you’ll have access to everything from employer events and careers fair to employability skills workshops and dedicated 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

Assessment

AssessmentWhat kind of work will I be doing? (proportionally)
Written/ formal examinations25
Written coursework / continuous assessment75

Course contact details

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