If you think you know enough, there is still much to learn 

"The more I learn, the more I realize how much I don't know" - Einstein  

"We Treat Your Mind"

CFP: 2021 GEC accepts submissions  until 15 August 2021

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How Do We? 

in Short

Who Are We ?

M&S Research Hub is a research and academic institute that organize online and onsite live training in fields of advanced econometrics, statistics, data analysis, and programming for institutes and individuals. On another front, we design and administrate wide-scale development, survey, and impact assessment projects for NGOs, governments, and donor agencies. 


How Are We?

Have you visited one of the many offline training platforms, those that host recorded sessions and classes in pretty much every kind of man-made science?

Well, this is exactly ...... NOT US

At M&S Research Hub, we still believe in the power, efficiency, and enormous benefits of specialization and person-person live interactive teaching systems. Today we stand as one of the World's top live-teaching platforms for statistics, econometrics, and related sciences. 

How We Can Contribute to Your Success Story

Applied Econometrics & Statistics Live Training

Modeling Guidance & Data Collection 

Research Projects & Publications

Survey, Impact Evaluation & Development Projects Administration

Research Digitization

Events & Workshops


What Do Say

Collaborators & Memberships

A snip of our partners who believe in our mission and contribute to its realization with their own expertise and knowledge. 

Selected Institutional Clients

& Trainees' Affiliations

Module 1 - Explore

Modules 2-7 - Explore

Advanced Tracks - Explore

Learning by "Researching" TM

Full-Stack Customized Training

Self-paced learning for all that you need

Live * Onsite * Offline

Expert Mentorship on Demand

Get personalized mentorship from experts who can assist in solving your methodological problems and provide direction

Live Training

Take A Look Behind The Curtains

Mail Address

 M&S Research Hub

Carlo Mierendorff Str. 43

34132 Kassel



Research Hub

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