Upcoming courses available in both formats. Enroll in a MOOC now, or reserve your seat in the next tutored cohort.
MOOC
Tutored
Circular Economy: New Business Models to Generate Value
Duration: 6 weeks · Level: Intermediate · Language: EN / ES
Design, validate, and communicate circular business strategies that turn material, energy, and end‑of‑life flows into measurable economic value. Covers product‑as‑a‑service, sharing, leasing, take‑back, reverse logistics, and the KPIs that make the business case to your CFO.
- Video lessons & Excel templates
- Coffee‑room discussions
- Certificate of completion
MOOC
Tutored
Environmental Life Cycle Assessment
Duration: 8 weeks · Level: Practitioner · Language: EN / ES
Master the ISO 14040/14044 framework end to end. Model product systems in openLCA and SimaPro, select LCIA methods (ReCiPe, EF 3.1, TRACI, IPCC), interpret results, and use LCA for ecodesign, EPDs, and corporate reporting.
- Guided software walkthroughs
- Real case‑study datasets
- Certificate of completion
MOOC
Tutored
Life Cycle Costing
Duration: 5 weeks · Level: Intermediate · Language: EN / ES
Calculate the total cost of products, services, and assets across their full life cycle. Extend LCC into Environmental Life Cycle Costing (ELCC) by monetizing externalities identified in an LCA. Follows SETAC code of practice and ISO 14040/14044.
- Cost‑model templates
- NPV & sensitivity analysis exercises
- Certificate of completion
MOOC
Tutored
Social Life Cycle Assessment
Duration: 6 weeks · Level: Practitioner · Language: EN / ES
Apply the ISO 14075:2024 framework to assess social and socio‑economic impacts across the value chain. Work with the five UNEP stakeholder groups, use PSILCA‑style risk factors, and integrate S‑LCA into sustainability strategy.
- Stakeholder mapping exercises
- PSILCA data interpretation
- Certificate of completion
MOOC
Tutored
Impact Evaluation with Python
Duration: 7 weeks · Level: Intermediate · Language: EN / ES
Use Python to design, run, and communicate impact evaluations of programs, policies, and projects. Covers causal inference basics, data wrangling with pandas, statistical modeling, and reproducible reporting with Jupyter notebooks.
- Jupyter notebooks & datasets
- Guided coding exercises
- Certificate of completion