Foundations of OR: OR and the OR Process

This course introduces the technique of causal mapping to structure a complex problem, and the method of cognitive mapping to interview stakeholders. Together, this enables analysts or facilitators to build a map and model of stakeholders’ beliefs, values and objectives to enable effective definition of a problem.

This practical course will help you to improve project performance, ensure outcomes are met and enable resources to be used efficiently, using Soft Systems Methodology (SSM), the best-known problem structuring method.

While many analysts will use Microsoft Excel daily few use VBA (Visual Basic for Applications). This course will provide delegates with the skills to utilise VBA and achieve the efficiency in Excel modelling necessary for professional analytics practice. 

Develop your understanding of Operational Research (OR), its processes and how they are used to address real world problems. Address the modelling issues you may encounter throughout your career. 

An introductory course to equip you with a tool bag of core quantitative forecasting techniques that are adaptable to almost any organisational setting. Appreciate the qualitative methods of forecasting by making use of expert opinion, judgement and scenarios.

This course is for those conducting modelling and analysis using Microsoft Excel and are now looking to expand their knowledge. In this course you will learn tips and shortcuts to aid you in achieving efficient and effective analysis while improving your proficiency in Excel. 

This course will provide you with a systematic introduction to the nature and advanced functionality of Microsoft Excel. It will arm you with the skills needed for planning, formatting and formulas that will take your proficiency to an improved level. 

Learn to better understand complex situations and effectively define problems by mapping and modelling stakeholder beliefs, values, and objectives. This practical course will introduce you to causal and cognitive mapping techniques.

This practical course will help you to improve project performance, ensure outcomes are met and enable resources to be used efficiently, using Soft Systems Methodology (SSM).

An introductory course to equip you with a tool bag of core quantitative forecasting techniques that are adaptable to almost any organisational setting. Appreciate the qualitative methods of forecasting by making use of expert opinion, judgement and scenarios.

Gain an understanding of the ideas and concepts of efficiency assessment of organisations and how Data Envelopment Analysis (DEA) models can be formulated and applied using Excel Solver.

This course offers a set of frameworks and methods based on behavioural science to support Operational Research (OR) Practice. The course can be useful for developing behavioural OR models, understanding behavioural issues with the implementation of OR models and the behavioural aspects of interventions.

Do you work in data analytics, BI/MI, data science, or machine learning? Do you want to make an immediate impact? This course is designed to equip delegates with a versatile skillset and deliver measurable results within your organisation.

Overview An introduction to Soft OR and the methods for working with strategic and complex problem situations and structuring qualitative data.

Develop a practical understanding of System Dynamics qualitative and quantitative methods. 

Develop a practical understanding of System Dynamics qualitative and quantitative methods. 

Demand for systems thinking approaches is growing as policy makers and managers face important systemic problems. This workshop provides an overview of these approaches and gives direction to practitioners wishing to make use of these approaches.

In this course you will learn how to build a culture of creativity across the team. One in which it is ‘safe’ to suggest ideas, where good ideas can be recognised. This will enable your team to creatively solve difficult problems.

This course will bring the analysis to life and give you a feel for the nature of this type of OR practice. You will gain and overview of soft and critical approaches to strategic OR practice in policymaking.

A practical course applying sampling and regression analysis to ‘real world’ case study data and interpreting the results. Learn when and how to use these techniques to address ‘real world’ problems such as quality control.

A practical course applying sampling and regression analysis to ‘real world’ case study data and interpreting the results. Learn when and how to use these techniques to address ‘real world’ problems such as quality control.

Gain an understanding of the wide spectrum of skills used in Operational Research, including: problem structuring; data collection; analytics; modelling; and simulation. Learn and understand a typical problem cycle

A practical introduction to the most used methodologies in OR, linear programming and optimisation.

A practical course using multivariate statistical techniques to gain greater insights from your analysis.

A practical course using multivariate statistical techniques to gain greater insights from your analysis.

This course will give you robust processes when you need to have innovative ideas ‘on demand’. You will have the chance to practice applying these tools and techniques that should be as much part of the OR practitioner’s tool kit as simulation and optimisation.

Explore the operational research methods and models available for supporting strategy. You will be able to develop your skills in a full session in scenario planning. This course better equips you to apply OR principles for strategic planning activities.

Using case studies and Public Sector Scorecard (PSS), you will create an integrated strategy map, service improvement plan and performance measurement framework of your OR projects.

Improve your personal productivity for generating rapid and insightful results from large data sets using R.

Group meetings and workshops have moved from face-to-face to online since the pandemic. It is unlikely that face-to-face meetings/workshops will resume, given the need for social distancing and for remote working. We offer a short course to support those needing to problem structure in virtual workshop environment.

This course is a natural follow on for delegates who have completed the Foundation course in forecasting and now wish to develop their toolbox further with Autoregressive Integrated Moving Average (ARIMA).

Become a more effective problem-solver by understanding how systems work. This workshop will introduce the tools of systems thinking and explore how they can be used both individually and in teams.

A practical introduction to simulation modelling, allowing you to understand the benefits of simulation and when to use it.

This two-day workshop will provide the state-of-the-art on the use of big data to improve service operations and will introduce several useful big data and machine learning techniques to help analysts, managers, and other stakeholders enhance operational performance.

A practical introduction to simulation modelling, allowing you to understand the benefits of simulation and when to use it.

This one day course will provide some approaches to help approach transformation in different ways, while taking into account both the hard and soft elements of transformation. It will incorporate the creation and evaluation of learning journeys and the pathways to transformation.

This course will teach you the skills needed to make multi criteria decisions. It will tackle a number of situations by exploring the main components of Goal Programming (GP), a fundamental topic within multi objective optimisation and will include goals, aspiration levels, achievement functions, deviation variables and priority sequence.

TBA

Gain the theoretical and practical understanding on how to process and model time series data in your analytical and forecasting workflows using R programming language. This course will provide you with essential knowledge to allow wrangling, processing, analysis and forecasting of time series data in the R programming language.