Do you have a forecasting research project?


Lancaster Centre for ForecastingThe Lancaster Centre for Forecasting is seeking Master Student Projects in Forecasting, Data Mining, or Analytics for summer of 2015.

Projects normally run from mid-May to mid-August, with reports issued a few weeks after. These projects are a cost efficient way for a company to carry out analytical work by Master of Science candidates who are formally trained in forecasting. Many of the students have additional skills in areas like marketing analytics, logistics and supply chain, operations research and optimization, and simulation.

Costs are GDP 2,900 (about $4,525 USD) for a single MSc student for four months, plus travel expenses. Discounts available for additional students, non-profits, and SMEs.

Students will normally work on-site at your organization, under the joint supervision of a project leader at your company, and a forecasting expert from the Forecasting Centre. For a well structured problem, the student may remain in Lancaster with no or only occasional site visits.

For more information, and to discuss potential topics, contact:

Dr. Sven Crone

Dr. Sven Crone

Dr. Sven F. Crone

Assistant Professor in Management Science (Lecturer) & Director, Lancaster Research Centre for Forecasting

Lancaster University Management School, Room A53a, Lancaster, LA1 4YX  | T: +44 (0)1524 5-92991 | F: +44 (0)1524 844885 | M: +49 (0)171 4910100 | W: | E:


About Author

Mike Gilliland

Product Marketing Manager

Michael Gilliland is author of The Business Forecasting Deal (the book), and editor of Business Forecasting: Practical Problems and Solutions. He is a longtime business forecasting practitioner, and currently Product Marketing Manager for SAS Forecasting software. Mike serves on the Board of Directors for the International Institute of Forecasters, and received the 2017 Lifetime Achievement in Business Forecast award from the Institute of Business Forecasting. He initiated The Business Forecasting Deal (the blog) to help expose the seamy underbelly of forecasting practice, and to provide practical solutions to its most vexing problems.

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