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  • DeadlineStudy Details: 1 year

Masters Degree Description

Gain an in-depth understanding of the theory and practice of data science and its application in different organisational contexts. You'll be provided with a set of fundamental principles that support ethical extraction of information and knowledge from data. Case studies will help to show the practical application of these principles to real life problems.

The programme is centred on three key aspects of data science fundamental data-related principles, supporting infrastructures and organisational context.

You'll gain practical skills in handling structured and unstructured data, analysing and visualising data, data mining, as well as gaining hands-on experience of software tools used and their use in real-world settings. You'll gain the skills of a data manager who understands what the algorithms (e.g., for data mining or handling ‘big data’) can do and when to use them for the benefit of the organisation.

Throughout the programme, there will be opportunities to gain hands-on experience using a variety of tools, such as R, Python and SPSS, Weka or Tableau/Spotfire and, although you're not required to have any knowledge of these tools before starting the course, it may be advantageous to read up on them in advance. You'll conduct in-depth research into your particular areas of interest for your dissertation.

Accreditation

CILIP accredited

Entry Requirements

Minimum 2:1 undergraduate honours degree in any subject.

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Fees

Please see website for fees

Student Destinations

Examples of organisations that have employed our graduates include:

  • Deloitte LLP
  • Huawei Technologies
  • National Institute for Health Research
  • Financial institutions in the UK and overseas
  • HMRC (HM Revenue and Customs)
  • Nationwide Building Society
  • Santander PLC
  • Queen Mary University of London

Our graduates are employed in roles such as:

  • Data Scientist
  • Data Analyst
  • Development Engineer
  • Machine Learning Engineer
  • Market Data Analyst
  • Optimisation Analyst
  • Project Management
  • Service Consultant

Module Details

Core modules:

Data Visualisation
Introduction to Data Science
Data Mining and AI
Data Analysis
Data and Society
Database Design
Research Methods and Dissertation Preparation
Dissertation

Optional modules - two from:

Information Governance and Ethics
Big Data Analytics
Business Intelligence
User-Centred Design and Human-Computer Interaction

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