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Course options

  • Qualification

    Bachelor of Science (with Honours) - BSc (Hons)

  • Location

    Headingley Campus

  • Study mode

    Full time

  • Start date


  • Duration

    3 Years

Course summary

Data is recognised as a key asset in any organisation and a means by which to gain information, insight and understanding. If you already have intellectual curiosity, enjoy solving problems and asking questions, this course will develop these skills further. You will study data analysis techniques and learn how to apply them to investigate social issues, such as crime connections, business insight, including marketing channels, and scientific innovations including smart houses.The course will cover a number of key themes from data management and data analytics such as machine learning, to statistics and programming. Informed by a deeper knowledge of data principles and practical considerations, you will gain an in-depth understanding of core data analysis techniques. Using open source data and tools such as python and SQL, tableau and KNIME, you will learn how to identify data to inform your investigation, how to pre-process data to ensure quality results, how to select appropriate analysis techniques for the task and finally how to choose methods, including visualisations, to convey the message. You will also have the opportunity to interact with industry experts to gain connections and an insight of the roles available within the field.Your experiences on this course will see you develop a strong knowledge of data and understand the importance of ethics and data governance in your approach to data science.Data is recognised as central to the strength of our economic, business and cultural life, and continues to transform the modern world. Your ability to understand how to work with data to gain insights and create narratives will make you an asset to any business, organisation or individual seeking to make evidence-based decisions. You will be primed for data science roles across diverse industries and projects.You will be taught and assessed using a range of approaches that will enable you to develop a rounded skillset including simulations, case studies, practical work and online collaborative discussion. In your third year, you will complete a year-long data science project drawing on theoretical principles to rigorously design investigations, analyse data and represent findings from data. Through considered selection of your project and client, you will be able to tailor your learning to your career aspirations. You will join a research-led academic community, and you will have access to guest lectures and industry events that will broaden your experience and knowledge of the career pathways that will be open to you.

Application deadline

15 January 2020

Tuition fees

Students living in United States
(international fees)

Information not available

Please check with the institution for most up to date details.

Entry requirements

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UCAS Points : 104

A Minimum 64 from two A Levels or equivalent, excluding General Studies. This must include 40 points from a Maths or Science related subject. If you are studying Biology, Chemistry or Physics to meet this requirement you must also achieve a `Pass' in the practical assessment, where that practical assessment is separated (from 2017)


University information

Leeds Beckett University

  • University League Table


  • Campus address

    Leeds Beckett University, City Campus, Leeds, Leeds, LS1 3HE, England

Leeds Beckett is a global university, with an alumni community based in more than 150 countries around the world.
Leeds Beckett degrees are available to study in-country in China, Hong Kong, Malaysia, Mauritius, Nepal and Singapore.
In-country staff provide application support and advice in Bahrain, China, India, Nigeria, Qatar and Vietnam.

Subject rankings

  • Subject ranking

    96th out of 110 4

  • Entry standards

    / Max 236
    113 47%


  • Graduate prospects

    / Max 100
    69 69%


  • Student satisfaction

    / Max 5
    3.99 80%



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