Taught course

Data Science

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

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

September

Course content

Description

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

You will learn how to use state-of-the-art computer science methods to process a range of data, including (but not limited to) big data.

You will develop technical, statistical, analytical and data mining skills. The course incorporates methods of statistical analysis and data mining to extract understanding from data, formulate high-quality data models and interpret them to ‘tell a story’. You will learn how to communicate these effectively to stakeholders, bearing in mind ethical, legal and societal implications.

You will be introduced to data science concepts, techniques and algorithms for processing and visualising datasets so as to infer useful, actionable knowledge.

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


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

MSc

part time
36 months
full time
12 months

Course contact details

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