Why Does this Course Matter:
In fast-paced commercial settings, the ability to structure problems, assess evidence, and model scenarios leads to better planning, reduced risk, and sharper insight. This course provides practical methods that are immediately applicable to real challenges faced in operations, strategy, logistics, and policy analysis.
What Will I Learn:
- Clear definition of complex problems using structured techniques
- Confident use of data and modelling methods, including simulation and machine learning basics
- Communicate results for real-world impact across technical and non-technical audiences
- Integration of soft and hard OR skills to improve strategic and operational decisions
- Application of tools that support organisational change and improve decision quality
Course Topics:
- Covers the full OR cycle: problem definition, modelling, evidence gathering, and communication
- Learn how to apply both qualitative and quantitative techniques to address ambiguity
- Use real examples to build fluency in tools like linear programming, cognitive mapping, system dynamics, and simulation
- Gain an understanding of when to apply professional judgement and how to ensure analysis has impact
- Develop strong presentation skills tailored to your audience's needs
Who is this course for:
- Early-career professionals looking to enter or grow within the Operational Research (OR) field
- Analysts transitioning from academic, scientific, engineering, or IT roles
- Policy advisors and project managers working in data-rich or complex decision-making environments
- Business and operations leaders aiming to improve planning and evidence-based strategy
- Consultants who support public or private sector clients with analysis and decision support
Prices
- OR Society Member £495 + VAT
- Non-Member £625 + VAT
- Student Member £370 + VAT
- For group booking discounts please contact [email protected]
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