There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

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Course summary

Gain an understanding of big data governance, data analytics and data storage to successfully manage and share an organisations’ data. Data and information are recognised as central to the economic, business and cultural life of our society today. This course will equip you with the advanced information and analytic skills to thrive in the digital knowledge economy. You could already be working and looking to enhance your expertise in data science. Alternatively, you may have recently graduated and want to move into roles specifically aligned with data science and analytics. We’ll help you develop a comprehensive understanding of the role of data within business. As part of your course, you’ll:

  • Study data governance, considering how data can be sourced, consolidated and stored securely, responsibly and efficiently
  • Explore techniques used to analyse data
  • Discover how data can contribute to a company's business strategy
  • Focus on the application of data science in a specific field such as health, education or fraud prevention
Find out more In the ever-changing technological world, the skills required to successfully manage and share an organisations' data, require employees that have good understanding of data issues, technology, people and business. All of these skills are addressed by modules on this course, placing you at the forefront of the emerging digital economy. You’ll be encouraged to undertake projects and volunteering opportunities with outside organisations, and our expert staff will ensure your learning is highly relevant to the workplace. Central to the course will be the themes of security, ethics, data governance and sustainability. You’ll graduate with a critical awareness of the current ethical and security problems associated with the exploitation of information services and resources in organisations, enabling you to support collection, sorting and ordering of data, big data and information across a range of sectors. Industry expertise Industry experts and leaders in their field will further fine tune your knowledge by sharing their expertise and professional insights during regular guest lectures. Past speakers have included computing, forensic and engineering experts from KPMG and Hermes Innovation Lab. Goranka Bjedov, Performance and Capacity Engineer at Facebook, also visited the school to talk about her work in ensuring Facebook's worldwide data centres are able to deliver a 24/7 service to users. Research-led teaching The university is home to a number of research institutes and centres, including the Cybercrime & Security Innovation Centre and the Centre for Research in Computer Science and Applications (CriSCA). Findings from our research will feed into your learning to equip you with the latest thinking and industry insights. Why study Data Science at Leeds Beckett University...
  • Industry experience expert course team
  • Part-time study option
  • Guest lectures from industry professionals
  • Research informed learning experience

Modules

Core Modules:

  • Data Analytics & Visualisation
  • Research Practice
  • Database Systems & Approaches
  • Project Management
  • Dissertation
In addition, choose from a list of option modules. Please check our website for a full and up-to-date list.


Entry requirements

Students require a 2:2 or above in a computing related degree such as Computing, Computer Science, Business Information Technology or work experience of a similar level such as to evidence a significant understanding of technology, information systems and the role of data.


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Please see www.leedsbeckett.ac.uk for fee information.
Data Science at Leeds Beckett University - UCAS