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2022 - 20232023 - 2024
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Open days

30Jun
Leeds Beckett University - Undergraduate Open Day
Undergraduate
7Oct
Leeds Beckett University - Undergraduate Open Day
Undergraduate
28Oct
Leeds Beckett University - Undergraduate Open Day
Undergraduate
Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

Explore and analyse complex data sets to solve practical problems. You'll expand your critical thinking skills and gain hands-on experience of data governance. Data science is an exciting and high-profile field of work. Globally, we produce increasing amounts of data every second and data recognised as a key asset in economic, business and cultural life. Being able to analyse data is crucial to gaining information, insight and understanding. This course will allow you to study key topics, from data management and analytics to statistics and programming. You'll develop the theoretical knowledge, practical skills and confidence to be able to convert data into valuable insights. As part of this course, you’ll:

  • Study data analysis techniques
  • Learn to analyse and create meaningful visualisations from data sets
  • Study key topics, from data management and analytics, to machine learning, statistics and programming
  • Develop your theoretical knowledge, practical skills and confidence to be able to convert data into valuable insights
  • Learn how to apply your knowledge to investigate social issues, such as crime connections and business insight
  • Gain an in-depth understanding of core data analysis techniques informed by a deeper knowledge of data principles and practical considerations
  • Use open source data and tools such as python and SQL, tableau and R and Matlab
  • Learn how to identify data to inform your investigation, ensure quality results, select appropriate analysis techniques for the task and choose methods to convey the message
  • Understand the importance of ethics and data governance in your approach to data science
Find out more Your ability to understand how to work with data to gain insights and create narratives will make you an asset to any organisation or individual seeking to make evidence-based decisions. You’ll be able to apply your expertise to a wide range of areas including marketing channels, and scientific innovations such as smart houses. Developing your skillset You’ll be taught and assessed using a range of approaches that will enable you to develop a rounded skillset, including:
  • Simulations
  • Case studies
  • Practical work
  • Online collaborative discussion
Tailoring your learning In your third year, you’ll 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’ll be able to tailor your learning to your career aspirations. Industry connections Joining a research-led academic community will give you access to guest lectures. While industry events will broaden your experience and knowledge of the career pathways that will be open to you. You’ll have the opportunity to interact with industry experts to gain connections and an insight of the roles available within the field. Why study Data Science at Leeds Beckett University...
  • Connect with professionals - through industry site visits and guest lectures
  • Develop an in-demand graduate skillset – you’ll gain the theoretical knowledge, practical skills and confidence to convert data into valuable insights
  • Get hands-on - with fantastic placement opportunities, summer internships or final year real-life projects
  • Develop industry experience - with our sandwich year option
  • Industry experienced expert course team

Modules

Year 1 Core Modules:

  • Introduction to Data Analytics
  • Maths for Data Science
  • Fundamentals of Computer Science
  • Fundamentals of Databases
  • Statistics in Practice
  • Fundamentals of Computer Programming
Year 2 Core Modules:
  • Applied Data Analytics & Visualisations
  • Machine Learning Techniques
  • Database Systems
  • Team Project
  • Programming for Data Science
  • Information Analysis
Year 3 Core Modules:
  • Production Project
In addition, choose from a list of Year 3 option modules. Please check our website for a full and up-to-date list.

How to apply

25Jan

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

Unistats information

Operated by the Office for Students
74%
Student satisfaction
81%
Employment after 15 months (Most common jobs)
90%
Go onto work and study

The student satisfaction data is from students surveyed during the Covid-19 pandemic. The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

England £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Data Science at Leeds Beckett University - UCAS