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
- Simulations
- Case studies
- Practical work
- Online collaborative discussion
- 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
- Applied Data Analytics & Visualisations
- Machine Learning Techniques
- Database Systems
- Team Project
- Programming for Data Science
- Information Analysis
- Production Project
How to apply
You can no longer submit a new application for courses starting in 2023.
If you already have a 2023 application and are in Clearing, you can add this course as a Clearing choice – contact the university or college first to check they have places.
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
- Course code:
- I2I3
- Institution code:
- L27
- Campus name:
- Headingley Campus
- Campus code:
- H
Points of entry
The following entry points are available for this course:
- Year 1
This course may be available at alternative locations, please check if other course options are available
Entry requirements
Qualification requirements
UCAS Tariff - 96 points
GCSE/National 4/National 5
Student Outcomes
There is no data available for this course. For further information visit 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
Provider information
Leeds Beckett University
City Campus
Leeds
LS1 3HE