Overview:

This foundation-level course introduces the principles and practices used to turn data into meaningful information. At the University of Sheffield, students develop an understanding of how data can be collected, examined and interpreted, while building the analytical and technical foundations needed for further study in data science.

What You'll Learn:

• Core concepts and principles of data science

• Methods for collecting, organising and preparing data

• Statistical ideas and techniques for analysing datasets

• Programming concepts relevant to working with data

• Approaches to identifying patterns, relationships and trends

• Ways of presenting and communicating findings from data

• The role of data-driven thinking in solving problems and supporting decisions

Learning Outcomes:

By the end of the course, students will be able to explain fundamental concepts in data science and recognise how different approaches can be applied to real-world data. They will be able to work systematically with datasets, apply appropriate analytical and statistical methods, and use programming principles to support data-related tasks. Students will also be able to interpret analytical results, identify meaningful patterns within data, and communicate conclusions clearly. The course will provide a foundation for understanding how technical, mathematical and analytical perspectives come together in data science, enabling students to approach data-focused problems in a structured and informed way.on Year in Science and Engineering leads to a wide range of undergraduate engineering and science degrees at the University.