"“MSR has undertaken a national KAP (Knowledge, Attitudes and Practices) study on the iodated salt market for UNICEF. We were happy with their quality control, diligence and the effort they put into letting us see the big picture.”"
Theodocia Ofosu-Appeah, Nutrition Officer – UNICEF.


At MSR we believe that successful instruction is underpinned by two core features: the first involves a focus on experiential learning and the application of concepts in real world situations. We have conducted a number of training needs assessment across client-side and agency-side market and business analyst roles; this gives us a clear appreciation of the skills and knowledge gaps that exist between what industry needs and what employees bring to their roles. It is these gaps that we strive to close during our training sessions.

A second and equally important feature of our instruction methods is an acknowledgement of the importance of social learning environments. We firmly believe that creating vibrant, supportive and interactive spaces for trainees to learn is important. We encourage active engagement, open and honest communication, and extensive use of technology in supporting this environment.




Advanced Data Analyses for Market & Business Analysts – MS Excel 2010

This training programme combines the user-friendliness of MS Excel and the robustness of a variety of MS Excel Addins to deliver a range of useful and advanced analytics for market & business analysts who want to go the extra mile.

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Market Research Certificate Programme


A Certificate programme that is aimed at both the experienced and the uninitiated, and spans all aspects of research planning, execution, analyses and reporting.

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Social Media Analytics

A comprehensive social media training programme that introduces participants to the power of social media analytics and how it can be used to drive business growth.

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Applied Data Mining for Market & Business Analysts

A training programme targeted at market and business analysts who are looking for a user-friendly data mining application that will help them do a wide range of customer analytics: e.g. shopping basket analyses, customer segmentation, forecasting and churn prediction...

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