How quantitative are analytics and optimisation subjects in a supply chain degree?
Analytics and optimisation subjects in a supply chain degree are generally applied and moderately quantitative. They may involve statistics, forecasting, data analysis, spreadsheets or software, and optimisation methods such as linear programming. The emphasis is usually on using quantitative models to support supply chain decisions rather than studying pure mathematics, although the level of algebra, programming and statistical theory varies by course.
Key points
- You may work with inventory, transport, demand, capacity or scheduling data.
- Assessment can include calculations, models, software-based analysis, reports and practical projects.
- Mathematics may be useful, particularly algebra, probability and basic statistics; some courses also introduce coding.
Things to check
- The balance between theory, computation and practical work depends on the university, degree structure and subject level, so check the module descriptions and assumed knowledge for the specific course.