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MSc Programme


MSc Applied Quantitative Methods

This advanced training will not only equip students for entry into the workplace but also the potential to study at PhD level.  Students must pass 180 credits over one year (if full-time) or two years (if part-time). 

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Based at the Manchester Metropolitan University Q-Step Centre in the Department of Sociology, this MSc approaches the study of quantitative methods in an innovative way, which emphasises career-ready skills that prepare students for work with data and quantitative analysis, or as suitable preparation for doctoral study.

The course focuses on the development and application of key quantitative methods and analytical techniques. It focuses on the use of quantitative methods within ‘real world’ contexts and a key aim is to develop graduates’ career-ready skills in this field. 

The dissertation involves a placement with one of our community partners, whereby the student will conduct a piece of QM research for the organisation. 

There are ten bursaries available each worth £14,388 for 2017-18 entry (deadline 3 July 2017)

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How to apply

Apply through the normal postgraduate route. You can apply for full and part-time taught courses by completing the Postgraduate Application Form. Please email your application to or post to:

Direct Admissions Team
Manchester Metropolitan University
Business School and Student Hub,
Lower Chatham Street
All Saints Campus
M15 6BH

Not sure about studying at Postgraduate level

Deciding to study at postgraduate level is a big decision; to help support students with this; as part of the MSc in Applied Quantitative Methods we have attached an initial Foundations in Quantitative Analysis 'taster' unit. This would be worth 15 ECTS and runs in for the first few weeks in October 2017.  It is a two-week intensive unit that will provide an opportunity to study at postgraduate level without the commitment of a whole year.  Those students who pass the ‘taster’ unit will continue onto further MSc units. 

Career routes with MSc Quantitive Methods

The increasing importance of data analysis in decision-making has boosted demand for employees with analytical skill sets, popularising career paths that lead to ‘big data’ jobs. The British Academy published a report titled ‘Stand Out and Be Counted’ in 2013 listing the following jobs under five major sectors which currently require quantitative skills:

  1. International organisations, NGOs and charities: Project coordinators, lobbyists and activists, fund managers and fundraisers, social statisticians, club leaders and charity workers
  2. Media: Investigative journalists, researchers for print, TV and online media.
  3. Government and politicians: Politicians, evidence-based policy makers, political aides and opinion pollsters, government economists, statisticians and researchers, civil service managers, pressure groups, trade union representatives, watchdog analysts
  4. Public services and education: Health informatics analysts, police teams and prison officers, local authority strategists, finance and personnel managers, teachers and lecturers, expert advisors and inspectors, neighbourhood planners
  5. Public sector: CEO and industry officials, entrepreneurs and small, business owners, Finance managers, PR and market analysts, management consultants, product designers and architects (British Academy, 2013).

The growing demand for quantitative skills in UK business is also reflected in surveys among business sector leaders which indicate a clear deficit in the market.  In rising to this challenge MMU has been proactive in thinking of ways of teaching, and, programmes of study that will equip a new generation of social science graduates with the skills desperately needed in our digitally driven data society.