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Full time September MSc 12 Months

About the course


This course will give you the skills you’ll need to succeed as a Data Engineer or Data Scientist, taking you from techniques to handle Big Data through to analysing and visualising this data to give meaningful insights. Subjects include:

  • Big Data Theory and Practice, how do we manage the volume, velocity and variety of big data.
  • NoSql Databases including Cassandra, Neo4j, Mongodb and a host of others.
  • Parallel data analysis (Hadoop, Spark)
  • Machine learning and data mining
  • Languages for Data Engineering (Python, R, Matlab etc)
  • Devops and Microservices for deploying Big Data solutions to the cloud.

The role of "Data Scientist" has been described as the "sexiest job of the 21st Century”, but it is the emerging role of Data Engineer that is set to have the biggest impact on companies

Read more about this course

Entry Requirements

Applicants should normally have an Honours degree at 2.1 level or above in computing or a related subject. All prospective students need to undergo a technical interview to ensure they have the necessary background knowledge, including Mathematics, to undertake the course.



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