Masters student projects

Need support in a project? Develop new forecasting algorithms? Setup a forecasting system? Audit your current forecasting models or processes?

The Lancaster Centre for Forecasting is offering a range of effective Masters student projects in forecasting for logistics and supply chain management, government services, call centres, utilities... You can determine the topics!

We also offer projects in data mining (e.g. for credit scoring, customer relationship management), analytical marketing (e.g. for direct marketing, long-term marketing effectiveness, marketing resource allocation) and predictive analytics  in general. These projects can be integrated into a full-blown consultancy if the problem merits it.

Students start on their projects mid May and work on an in-house forecasting problem until end of August, with joint supervision between the company and forecasting experts from the Centre. All students are supervised by a member of staff and can be based in Lancaster with visits to your organisation as necessary. Alternatively, they can work on site in your organisation with visits from their Lancaster supervisor in order to ensure the successful completion of the project.

These projects can be a particularly cost efficient way for a company to carry out work for which it cannot find the internal resources, to recruit new team members or to efficiently buy in external know-how. Our post-graduate students are technically well qualified; they all have good first degrees in a discipline with significant quantitative material and have been following a variety of courses at Lancaster in techniques, statistics, computing skills, methodology and applications of Operational Research & Management Science in general, and Forecasting, Data Mining and Analytical Marketing in particular. 

Last but not least, they are educated in forecasting (incl. Exponential Smoothing, ARIMA, Dynamic Regression and Econometric Models etc. using standard software packages such as Forecast Pro, EVIEWS, SPSS) and data mining (incl. Logistic Regression, Decision Trees, Neural Networks etc. using standard software such as SAS 9.1 and SAS Enterprise Miner). In addition, they have skills in other areas of Marketing Analytics, Logistics and Supply Chain Management and Operational Research, such as optimisation, simulation, stochastic modelling, logistics, as well as systems analysis and project management.

Success stories: Selected 2014 Masters Project Case Studies


2014 Project BSkyB Forecasting Engineer Hours


2014 BSkyB Forecasting New Acquisition Calls


2014 Jaguar LR Forecasting


2014 McBride Forecast Segmentation and Benchmarking


2014 McBride Hierarchy Forecasting and Seasonality


2014 Multiple Temporal Aggregation with Neural Networks


2014 Predicting the Diffusion of Online Video Content

Click here for more success stories.