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.

Course provides students with the ability to combine state of the art computer science methods for processing a range of data (including but not limited to BIG data) incorporating methods of statistical analysis and data mining to extract understanding from data to formulate data models that can be interpreted and communicated effectively to stakeholders informed by ethical, legal and societal implications. Students will develop an in-depth understanding of technical, statistical, analytical and data mining skills, and an ability to develop high-quality data models, which can “tell a story” through the interpretation of the model.

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 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.
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.

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