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Data Science with Foundation Year

  • 2 Study options
  • Undergraduate
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More about Sheffield Hallam University

Course options

2026-2027
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Course summary

Please check the Sheffield Hallam University website for the latest information.

Course Summary

  • Design innovative systems using data science to address complex challenges.

  • Harness AI and data mining to extract insights from large datasets.

  • Gain skills in programming, cloud computing and automated data pipelines.

  • Collaborate on real-world projects using live datasets and business briefs.

  • Develop ethical, technical and sector-ready expertise.

You’ll gain deep knowledge of data science techniques – from predictive analytics to AI programming – and apply them across sectors such as health, finance and tech. You’ll learn to develop cutting-edge systems and algorithms while understanding the ethical implications of data technologies. Real client projects, team-based challenges and a year-long placement opportunity prepare you for a career at the forefront of the data-driven economy.

For full details of course modules, assessments, and teaching methods, please visit the course page on our website: https://www.shu.ac.uk/courses/Computing/BSc-Honours-Data-Science-with-Foundation-Year/Full-time

Ways to study this course

Campuses

  • Main Site

Study options

  • BSc • Full-time including foundation year • 4 Years
  • BSc • Sandwich including foundation year • 5 Years

Start dates

  • 21/09/2026

Application codes

Course code:
BB36
Institution code:
S21

Sheffield Hallam University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

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How to apply

Application codes

Course code:
BB36
Institution code:
S21

This course may be available at alternative locations, please check if other course options are available.

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Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

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