µσ as a University

Creating Explorers, Experimenters, First Principle Thinkers

Graduates are Not Well Equipped

Today's education system, which hinges on structured, classroom-based learning, predefined syllabi, and tests focused on assessing students' recall ability, is not consistently preparing students for problem-solving in the real world.

A look at professions such as medicine, law, and accounting uncovers the insight that students need access to the real-world problem space, just as medical students receive access to a hospital.

Approaching problem solving holistically requires an interdisciplinary perspective of art and science. Access to real-world problems provides students with an environment that can facilitate outcome-based problem solving that meets industry expectations and removes barriers of current methods that are not bridged even through piecemeal internships or industry training.

Access to real world problems is the only way to provide students an environment where they can experience outcome-based problem solving that meets industry expectations.

The gap between what the education system delivers and market demands:

60%

of engineering graduates in India remain unemployed

97%

of graduating engineers want jobs either in software engineering or core engineering. But only 3% have suitable skills to be employed in the technology industry

A New Collaboration to Build Talent

Education delivered jointly by an industry-academia collaboration to create future-ready students is the way forward. This collaboration needs educational institutions that can disrupt the education landscape and organizations that have access to a variety of real-world problems along with experience in developing young talent over time.

An interdisciplinary perspective developed in students enables them to grasp newer disciplines faster and innovate at the intersection of these disciplines.

Introducing the First Principle Thinker

First Principle Thinkers have a knack for combining competence in one area with the confidence to learn and explore other areas to build capabilities and take risks.

They are unique individuals who can:

Work across the organization with great efficiency
Be highly collaborative and have an uncanny ability to see problems from multiple perspectives
Connect the dots across interdisciplinary areas and engage better in the discovery of ignorance by asking better questions.

What Does All This Mean?

Mu Sigma is on a mission to provide a multidisciplinary education and equip students with an exploration mindset, which is the reason behind our unique program, µσ as a University. We teach our team members more than data science; we teach them how to embrace Sigma and ask good questions. In a world where Universities are becoming a business, at Mu Sigma, business is becoming a University

Apprentice-based Education

µσ as a University uses an interactive, apprenticeship-based curriculum as a proving ground to create a learning-doing-teaching pedagogy centered on real-world problems.

We offer

Guided Learning: Blend of classroom sessions and workshops to deliver fundamental courses
Problem-Based Learning: Learning by living the journey of problem-solving across the spectrum of problem definition, design, solution, and implementation
Experiential Learning: Learning by apprenticing with real-world practitioners to learn the on- ground practices and nuances of the trade

Over the years, 14,000 decision scientists have earned their stripes at Mu Sigma, and today, we are one of the most fertile training grounds for aspiring decision scientists. Entry into μσ as a University is tough – only 3% of the near quarter of a million applications have led to job offers. Those who make it in will have the unique opportunity to learn, do, teach, and work with some of the world's best brands. The experience will set them apart from others and open the doors to many possibilities.

A Fertile Ground for Creating Decision Scientists Since 2004

Over the years, 14,000 decision scientists have earned their stripes at Mu Sigma, and today, we are one of the most fertile training grounds for aspiring decision scientists.

Entry into μσ as a University is tough – only 3% of the near quarter of a million applications have led to job offers. Those who make it in will have the unique opportunity to learn, do, teach, and work with some of the world's best brands. The experience will set them apart from others and open the doors to many possibilities.