Taught course

Data Science

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

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Entry requirements

his course is open to anyone with a good UK honours degree – at least a 2:2 – or the international equivalent, in a STEM subject. We might also consider your application if you a have a relevant lower-level qualification, together with substantial professional experience in a related field.

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.

International students can find out more at mmu.ac.uk/international

Months of entry


Course content

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

Data can provide the insight to shape decision-making, power scientific innovation, improve business operations or inform government policy. But it takes state-of-the-art computer science methods to unlock that power. Our MSc Data Science lets you master those methods.

With the units you’ll study, we’ll equip you with the techniques of statistical analysis and data mining that can help you find the story in complex, high-volume, high-dimensional data from various sources – formulating high-quality data models and interpreting the results. We’ll also help you put the technical skills into a real-world, professional context – helping you communicate your findings in the workplace, and address any of the legal or ethical questions that come with data processing.

Throughout the programme, you’ll have guidance from an expert team with real pedigree in the area. So what you learn in the classroom will be rooted in the kind of cutting-edge research that’s addressing societal challenges, making an impact on areas like healthcare, future cities and security.

Whether you plan to continue your studies onto PhD level or you’re looking ahead to a career as a data scientist, data architect, database developer or big data analyst – to name a few – this degree can pave the way.

Core units

  • Introduction to Data Science
  • Computational Statistics and Visualisation
  • High Performance Computing and Big Data
  • Data Management and Machine Learning
  • MSc Data Science Project

Career prospects

There has been a 35% increase in UK demand for data scientists between 2012 and 2015. Britain is expected to create an average of 56,000 new big data jobs per year until 2020 and 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 job roles envisaged for graduates from this degree include, but are not limited to:

  • Data scientist
  • Data warehouse analyst
  • Data architect / modeller
  • Database developer
  • Data governor
  • Big data analyst
  • Decision sciences 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 our website.

Fees and funding

UK students
International students

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, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification


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

Course contact details

Course Enquiries
+44 (0)161 247 6969