Python + Operations Research for real supply-chain decisions. Model → Optimize → Simulate → Explain → Defend. Formulate LP/MIP models for procurement, production, transportation and network design — backed by 15+ teaching cases built on real-world decision problems.
Supply chains run on decisions. The best companies use Python + optimisation — and they're hiring people who can.
Prerequisites
Basic Python familiarity is recommended. No prior Operations Research experience required. Comfortable with algebra, percentages and basic statistics.
Difficulty
Intermediate → Advanced
LP, MIP, NLP, duality, VRP, network design, stochastic modelling and heuristics — not a beginner Excel course.
This pipeline — not any single library — is the skill. Every capstone runs through all nine steps.
Optimization is the core. Forecasting/ML (Scikit-learn) is a supporting input to your models — not a separate pillar.
Teaching cases built on publicly documented industry practices and real-world decision problems — not Mathnal client engagements. For Mathnal's own anonymised client work, see Case Studies →.
OR-Tools solves real delivery routing
Python LP for cost minimisation
Facility location optimisation
Choose your track. Build a real Python optimisation model and present it to a practitioner review panel. Every participant graduates with a portfolio of optimization models — not just a certificate.
The certificate is earned, not issued for showing up.
Minimum passing requirement: 70% or higher on each of the Python, optimization theory and mathematical modelling assessments, plus successful completion of both optimization assignments and the capstone model and defense.
Certified competencies: LP/MIP · Supply Chain Optimisation · Python OR · VRP · Network Design · Risk Modelling
Our free tool runs an LP/NLP optimization with sensitivity analysis and shadow prices. CSCOP teaches you to formulate, solve, validate and deploy models like it yourself.
You are not paying for 12 weeks of lectures. You're building four optimization models, completing 30+ labs, passing competency assessments and defending a capstone.
Inventory health check + forecast accuracy audit. No signup.
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