How much coding is required in supply chain analytics pathways?
Coding requirements in supply chain analytics pathways range from light technical work to substantial programming, depending on the course. Students may use spreadsheets and SQL for data handling, with Python or R for statistical analysis, forecasting, optimisation, and automation. Some pathways include dashboard tools and require little programming, while more advanced analytics tracks involve regular coding.
Key points
- Core work may include cleaning data, querying databases, building forecasts, and visualising supply chain performance.
- SQL, Python, or R may be taught, but the expected depth can range from guided scripts to independent software projects.
- Quantitative skills, statistics, and business or operations knowledge are also important alongside coding.
Things to check
- Requirements differ by university, degree level, pathway, and individual modules; check the official curriculum and assessment details for the programme you are considering.