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About L.E.A.D.

Leadership through Analytics and Decision Sciences
T. A. Pai Management Institute has created a program in association with Mu Sigma to transform determined young minds into global leaders in decision science and analytics.
The program will combine classroom education with training on real-world problems to create a new breed of leaders and problem-solvers

Why L.E.A.D.



New leadership to forge the

PATH AHEAD

The present has seen it get increasingly difficult to model the future based on the past. This will fuel the emergence of a new breed of trailblazing leaders.

A hyper-curious, entrepreneur's mind with the willingness to experiment and take risks would belong here.

This breed will be characterised by its ability to lead from early on, engage people and network at scale. It will comprise of leaders who bet likewise on other young leaders.

Questioning Mindset

Willingness to Experiment

Young Leaders

People Engagement

Networking at Scale

An organization culture that

NURTURES

A sea-change in customer behaviours and business problems requires new leaders to nurture in an ecosystem of people, processes, and platforms so that they embrace and thrive on change:

Such an organization creates a culture where risk-taking is coupled with learning from failures by functioning via the OODA
(Observe-Orient-Decide-Act) loop

It has a flat-hierarchy and sparks emergent leaders into action. What such an organization doesn't do is rely solely on experience and expertise, but nurtures young minds while operating like a network of teams.

Imbibing newer

MODES OF LEARNING

Change-makers will need to be in a state of constant learn-unlearn-relearn, whilst investing in new methods of learning. To accelerate and enhance retention, next-gen learning would have to be:

Focused on EXPERIENTIAL LEARNING rather than just classroom learning

Able to simulate and facilitate REAL-WORLD EXPERIENCES

In the context of SOLVING FOR A PROBLEM SPACE END TO END

CONTINUOUS, such that it becomes a mindset and a way of life

About evolution of MINDSET of students along with SKILLSET and TOOLSET

Exploring novel approaches to

PROBLEM-SOLVING

The landscape of known information, data, customers and best practices is changing faster than companies can keep with, implying that companies will invest leaders armed with new problem-solving capabilities.

FRAMEWORK

Create capability and framework to solve any problem as opposed to chasing specific solutions

APPROACH

Apply a first-principle approach to breaking down problems

The Art of Problem Solving
CROSS-FUNCTIONAL

Use a cross-industry and cross-functional lens to problem-solving

CROSS-DISCIPLINARY

Combine Business, Math, Technology, Design Thinking and Behavioral Sciences

EXPERIMENTATION

Create innovation through rapid and repetitive experimentation

Growing talent pool of

DATA DRIVEN DECISION MAKERS

With old traditional jobs based on heuristics and convention becoming obsolete and being replaced by data driven decision sciences, analytics no longer remains a specialized function

The burst and subsequent democratization of analytics world-wide has led to data science becoming central to business roles across industries rather

There is an expected shortage of ~100,000 data scientists in the US alone by 2020 while the spending on big data and analytics will hit $187 billion globally by 2019

Prof. Madhu Talks About

TAPMI's Vision and Mission

Dhiraj Rajaram Talks About

L.E.A.D.

Mu Sigma at the leading edge

of Innovation

Innovation at Mu Sigma is a melting pot of ideas, a slow brew that brings to life the very best of those ideas. We conceptualize and take bets on our designs in a quest to reduce the cost of experimentation, cut time taken to baseline, and upskill our customers. We like to remain close to our clients’ businesses and our ecosystem emulates the real world in the context of their business problems. Our focus is not just on solutions of today, but also on being future ready by sensing the imminent needs of the industry and preparing to stay on top of our game.

Course Structure

The course curriculum has been designed to ensure that relevant subjects applicable in problem-solving are taught.

The program comprises of a holistic delivery of foundational theory, interactive workshops,
class-room learning, real-life problem-solving and experiential courses to reinforce theoretical learnings, thus ensuring true impart and application of concepts

The outcome of the program is to create next-gen leaders, which implies they must go through an evolution in not just their skillset and toolset, but also their mindset. To enable this, in addition to classroom session, students will go through a host of experiences where they will 'learn-by-doing' by working on live projects with real-world customers and real data. The course will imitate real-world business flow, and help impart the right portfolio of skills to prepare students to lead business and organizations after graduation.

Induction at Mu Sigma

The program will kick-off with induction at Mu Sigma to equip students with Mu Sigma's 'Art of Problem Solving' framework for designing and solving a business problem universe.

Phase 1 – TAPMI Module

Post-induction, students will travel to TAPMI to be trained via classroom sessions, assignments, workshops, trainings on the foundations of management, industry strategy, statistical and math theory, system dynamics, visualization, digitalization, databases, enterprise architectures, design thinking, communication and behavioural sciences. During this phase, Mu Sigma will conduct problem-solving hackathons, where students will solve a live problem end-to-end using the 'Art of Problem Solving' framework.

Phase 2 – Mu Sigma Module

Students will then spend the final phase of the program at Mu Sigma, where they will be trained experientially by working with real-world decision scientists – they will work on live projects for customers with the fulfilment teams, solve real problems and projects across multiple problem spaces, design innovation algorithms with Mu Sigma LABS, close sales deals, create innovation projects with Mu Sigma LABS (on AI, Machine Learning, Robotics, Virtual Reality), create learning collateral for customers, help recruit future decision scientists for Mu Sigma, run organizational programs and initiatives for Mu Sigma across teams like Sales, Fulfilment, LABS, Finance, Marketing, and HR. They will be trained in multiple stints across Mu Sigma’s functions in order for them to get a full-view of the skillset and mindset required by a global leader in running a decision sciences organization and creating value for Fortune 500 customers.

All candidates successfully graduating will be provided a certification jointly by both Mu Sigma and TAPMI. Graduation criteria will be decided jointly by both Mu Sigma and TAPMI, with a minimum CGPA cut-off set for certification and job-offer.

Timelines

Program Highlights

The program will run over the course of an 11-month period and will involve training at both TAPMI University and Mu Sigma premises. TAPMI faculty will deliver training on the foundations of management, business communication, design thinking, behavioural sciences, and leadership.

Mu Sigma will provide experiential training on global leadership, analytics, and problem-solving with real Fortune 500 customers, and students will learn by apprenticing alongside decision scientists.

Students successfully graduating from the program after meeting the pre-defined cut-off criterion will be offered the role of a Trainee 'Apprentice Leader' (AL) by Mu Sigma and fast-tracked into a global leadership role in analytics, with the opportunity to be appraised into a full-fledged Apprentice Leader (AL) and run their own customer engagements within a year.

Blend of classroom education and real-world training ensures real-world readiness of students immediately after graduation

Experiantial training on global leadership, analytics, and problem-solving with real Fortune 500 customers, and learn by apprenticing alongside decision scientists

Opportunity to work with and learn from peer decision sciences practitioners and leadership members at Mu Sigma

Learn real-time by solving real-world business problems using real data to deliver value to customers

Understand the skillset and mindset required to lead and grow engagements with Fortune 500 customers

Collaborate with Mu Sigma leadership to gain a holistic understanding of the entrepreneur mindset required to build & grow an organization ground-up into a profitable unicorn

Career Paths & Progression

Career Progression

Graduate successfully completing the program after meeting the pre-defined graduation criterion will be provided the Job-offer of a Trainee Apprentice Leader in Mu Sigma.

Mu Sigma operates as a positively flat organization, with Apprentice Leader (AL) being the unified designation across the company once an employee gets appraised into the role

'Apprentice' because the journey of learning never stops and no matter what role you play, you are always learning

'Leader' because Mu Sigma does not believe in managers and administrators-we believe in leaders who can take control, lack any ego, get their hands dirty, and do what it takes to succeed

ALs are entrusted with the responsibility of being Mu Sigma leaders in every sense of the word - they are given full ownership of business and revenue goals with Fortune 500 customers, they solve some of the most innovative and challenging problems for customers, and they work with the CEO and senior leadership to solve high-impact problems for the growth of Mu Sigma.

ALs are expected to exhibit a mindset of high-curiosity and constant-learning, create positive and effective engagement channels with peers, force data-driven decisions by providing fascinating insights, and display a high mettle of grit and perseverance - ALs with said qualities have gone on to create some of the most successful stories of the company and closely influence the growth trajectory of Mu Sigma.

The minimum starting compensation for a Trainee AL will be a cost-to-company of ₹8,00,000 plus performance-based pay. The actual compensation may be higher than above, based on the experience, profile, and program course performance of the graduate.

Career Growth and Trajectory as an AL

Apprentice Leaders form the leadership and decision-making layer of the company, and are entrusted with revenue and business goals. Mu Sigma believes in maximizing every leader, and while they continue to lead Fortune 500 customer engagements and realize revenue growth, ALs personally align themselves to a breed of leadership and are mentored towards becoming a potential CXO in said leadership style.

Display high operational and organizational strategy strength to grow into a potential COO (Chief Operations Officer)

The ideal career trajectory for ALs who are left-brain dominant, can set-up and design large teams for success through high operational efficiency, display rigour, attention to detail, possess a flawless commitment to timelines, are extremely reliable, and possess the ability to quickly fix obstacles and ensure progress towards goals

Shape, sell, and serve solutions to grow into a CSO (Chief Sales Officer)

The preferred career trajectory for ALs who have a strong sales-mindset, display high empathy towards business and customers, have an artistic right-brain to quickly extract latent demands from customers and shape the right value proposition in return, and have the commitment to oversee a full sales cycle from demand generation and intent to interest and revenue realization

Envision and integrate technology to realize sustainable innovation and grow into a CTO (Chief Technology Officer)

Technology is often misinterpreted or equated to having a depth and knowledge of technology - instead, to realize business success, technology most be interpreted as the technique of executing program in the most innovative and sustainable fashion using the right technology pillar. This is the ideal career path for Al, who are able to integrate technology into everyday processes and solutions, and can envision long-term and large-scale innovation using the right tech - ALs who show that 'the world is not separated into tech and non-tech jobs, and instead every job can be tech-enhanced" will be mentored for growth into potential CTOs

Role of an Apprentice Leader (AL)

ALs exhibit the mindset of an entrepreneur and founder to grow Mu Sigma by growing their customer engagements. In order to shape, sell, and serve value towards Fortune 500 customers, ALs are expected to be driven by 4 key virtues – Curiousity, Insight, Engagement, and Grit - and exhibit these qualities as they fulfil their various roles, as described below:

Ownership of an account

ALs will own an engagement with a Fortune 500 customer, its associated growth and revenue goals, and strive to grow the engagement by consistently adding value to the client organization and help architect transformation for the client’s business.

Customer Relationship Management

ALs hold the relationship with the key
C-level customers, and are responsible for engaging them in identifying new business, evolving the relationship to strategic horizons, and aligning delivery with the vision of the customer organization.

Problem Solving

ALs identify, scope, and define problems and projects, and deliver innovative solutions to customers, while exhibiting project-management skills to ensure timeliness and quality of delivery.

Team Management

ALs are oriented towards the personal and professional growth of people, and are responsible for sourcing the right talent and helping build them into an inspired team by ensuring constant engagement, learning and skill development.

Organization Growth

ALs ultimately are the leaders of the company and will constantly exhibit a sales-mindset to strategize for revenue growth and business development; parallely, they will drive internal strategies (employee engagement, hiring, etc.) and initiatives to drive company culture, peer development, and new strategy for delivery execution.

Innovate @ Mu Sigma LABS

ALs will engage with ‘Mu Sigma LABS’ to design and some of the most challenging and complex business problems for customers, ranging from video analytics, Machine Learning, AI, Robotics, Virtual Reality to name just a few.

Mu Sigma Company and Culture Building

ALs will design, plan, and execute initiatives and strategies for internal Mu Sigma, across a multitude of execution spectrums, varying from employee engagement all the way to process improvements and automation.

Admission Process

Application Process & Fee

Interested students need to apply for this programme via the link provided on the websites of Mu Sigma and TAPMI-CEL (Center for Executive Learning). The details of the application process are as follows.
The application window begins on 1st January, 2019
There is no application fee for applying to this programme.
The last date for applying is the 10th May, 2019
Interested candidates will have to submit an SOP (Statement of Purpose) as part of their application purpose
Selection interviews will happen over January, February, March, April, May of 2019
Entrance Exam Cut-off and Work Experience Cut-off

Graduate degree with not less than 50% marks in their undergrad and not more than 4 backlogs

Work Experience : Minimum 2 years, Maximum 4 years

The candidate must have a valid entrance exam score which is not more than 3 years old. In case a candidate does not have a valid entrance test score, a test will be conducted at the Mu Sigma premises. The candidate must have a minimum 75 percentile in CAT, XAT, SNAP, NMAT or a minimum 540 score in GMAT or equivalent in the Mu Sigma Aptitude Test.

Shortlisting for Interview

TAPMI and Mu Sigma will follow a shortlisting based on profile, problem-solving ability, work experience, statement of purpose, and exam score

Profile considered for shortlisting consists of valid CAT/XAT/GMAT/SNAP/NMAT/GRE/muAPT scores (whichever is higher), academic profile (10th, 12th, Graduation, backlogs during graduation etc.), work experience (type of company, nature of work total experience, etc.), extra-curricular achievements if any and the Statement of Purpose.

To test Individual Problem-Solving Ability, Students will have to pick a real-world problem of their own choice, present a solution for it in under 4 mins and upload the video of them presenting the solution on YouTube. TAPMI and Mu Sigma will evaluate students on difficulty and relevance of chosen problem, creativity, simplicity, and practicality of solution, and presentation skills.

Final Interviews and Admission Process

Admissions will be conducted at the Mu Sigma Office jointly by Mu Sigma and TAPMI faculty. The admissions process will consist of a Collaborative Problem-Solving Round conducted as a group activity (GA), Written Ability Test (WAT) followed by Personal Interview (PI).

Collaborative Problem-Solving Ability: The candidates will go through a Group Activity (GA) where they will be given a real-world business problem to solve as a group – they will be evaluated on their team-work/collaboration, initiative, definition of the problem, representation of solution, feasibility/sustainability of implementation.

Written Ability Test (WAT): WAT will be conducted to evaluate written capabilities of prospective students – it will aim to evaluate Articulation, Synthesis, Communication and Technical (Grammar and Spellings) writing skills of the applicant.

Personal Interview (PI): Pls will be conducted to understand the applicant's attitude towards management education. To ensure the same TAPMI and Mu Sigma will be conducting Behavioral Personal Interview. TAPMI and Mu Sigma will evaluate the applicant's ability in terms of Self-Awareness, Self-Management, Social Awareness, Leadership, and Communication.

Final selection of the candidate will be based on a weighted average score, with different parameters weighted as shown below. The focus of the program is to create leaders in problem-solving and decision sciences, and as such, candidates who display a high onus on problem-solving, exhibit a hyper-curious mindset, and have a strong appetite for learning will be selected.

Fee Details

The fee for the programme is Rs. 6,00,000 (inclusive of GST).
Tuition
The program fee covers cost of tuition at TAPMI and Mu Sigma
Accomodation

The program fee covers accommodation at Manipal (for TAPMI) and at Bangalore (for Mu Sigma)

Food

At TAPMI, Manipal - Participants are expected to bear food related expenses at Manipal, the minimum cost of which would be around Rs. 4000/month for three meals. There are a variety of meal options at the student centre of TAPMI.

At Mu Sigma, Bangalore - Mu Sigma will provide free food to all students in line with the same options offered to all employees.

Travel
The cost of travel from Bangalore to Manipal and back during the various course modules must also be borne by the course participants

About TAPMI

The student city of Manipal, Karnataka plays host to the T. A. Pai Management Institute, fondly known as TAPMI. Named after their founder, Shri. T. A. Pai, TAPMI was established with a vision of creating responsible business leaders, leaders who dream and achieve but with a resolve to make a difference.
Established in 1980, TAPMI is one among the 7 institutes in India and 5% of the top business schools worldwide to have been accredited with the illustrious Association to Advance Collegiate Schools of Business (AACSB) accreditation, the oldest and toughest accreditation in the world of business education. It is also the 5th institution in India to have both the AACSB as well as Association of MBAs (AMBA) accreditation.

TAPMI is not just a B-School, it is center of business excellence with over 30 years of experience in academics, research and Executive Education.

ACCREDITATIONS & RECOGNITIONS

            
AICTE Approved
            
CRISIL A*** Graded
            
AMBA Accredited
            
Ranked among top 20 B-Schools in INDIA
            
AACSB-International Accredited
            
Recognised by Association of Indian Universities

Life at TAPMI

TAPMI takes pride in the academic rigor and relevance practiced at the institute. They imbibe thorough business knowledge in students, making them business ready right from the first day. They also believe in the power of experiential learning, one of the pillars of education at TAPMI. Every element in TAPMI's action based and outcome centric curriculum is geared towards teaching students through real experiences. Case study based teaching lessons, simulation games, Management in Practice (MIP), Brandscan and Exchange Programs are a few engagements that take students beyond the four walls of the classroom and instill leadership qualities that in turn enable the students to tackle business challenges head-on.


TAPMI Learning

Bloomberg Champion

Brandscan

Toastmasters

Life at Mu Sigma

Life at Mu Sigma is an organized chaos, a cauldron of curious, young minds looking to unbox the world of decision sciences. The space bubbles with an infectious energy that encourages quirky and restless interactions, and helps innovative ideas blossom and become reality.

Exciting to watch and even better to experience are events like fireside chats with eminent personalities, learning hours on the latest industry topics, Family Days with moments of gratitude with loved ones and the many occasions that celebrate our ingenuity!

Take the next step towards becoming a leader