Post Graduate Program in Leadership through Analytics & Decision Sciences By TAPMI & MU Sigma (100% Job Assurance)

100% Job Guarantee at Mu Sigma (Annual Package around INR 9 Lakhs)

Course Snapshot
  • FeeINR 6,00,000 + GST (Education Loan facilities available)
  • Work Experience2 - 6 Years
  • Duration11 Months
  • Delivery MethodClassroom
Course Detail

About TAPMI
TAPMI is a leading B-School and the first AICTE approved B-School to have received the coveted AACSB global accreditation. TAPMI has recently been awarded the second coveted global accreditation - Association of MBAs (AMBA).

About Mu Sigma
- World's largest pure-play Big Data Analytics & Decision Support company
- Catalysts for making big data, machine learning, artificial intelligence, and decisions sciences real for Fortune 500 companies since 2004
- More than 140 Fortune 500 customers (many Fortune 100) in US, Europe, Australia; across 15+ industry/vertical spaces and 10+ horizontals
- Catalysts for organizational transformation using a fundamentally new approach - the new Art of Problem Solving (AoPSTM)
- Interactive Ecosystem - People, Processes and Platforms; Best-in-class services in data engineering, data science, and decision sciences support
- Part design studio, part research lab, and part data factory, bringing it together as a whole - Mu Sigma works at the intersections of Math, Business, and Technology

Program Overview
T.A. Pai Management Institute (TAPMI) and Mu Sigma are delighted to bring one of the most exciting programs in the area of analytics and decision sciences. The intent of this high-quality program is to create exceptional leaders in the digital age. TAPMI's collaboration with Mu Sigma to offer this program is in keeping with its commitment towards the emerging areas in business, and with our recognition that "data" is at the centre of the ongoing industrial revolution and that Artificial Intelligence will be the backbone of the new world.

What is L.E.A.D?
- L.E.A.D. (Leadership through Analytics and Decision Sciences) is an 11-month post-graduate certificate program delivered by TAPMI business school in association with Mu Sigma.
- The objective of the program is to create next-generational decision science leaders who can transform Fortune 500 companies through innovative problem-solving.
- 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.
- Graduates successfully completing the program after meeting the pre-defined graduation criterion will be offered a full-time job at Mu Sigma.

Need for L.E.A.D Programme
The Post Graduate Certificate program in Leadership through Analytics and Decision Sciences (L.E.A.D.),jointly developed by TAPMI and Mu Sigma, envisions the creation of global leaders in the world of decision sciences and analytics who can create value for Fortune 500 customers.
The vision is borne out of 5 key needs:
- A new breed of Leadership that can lead at a young age by taking risks, displaying entrepreneurship mettle, and a constantly learning mindset
- New Organizational culture that thrives on change, encourages emergent behavior and operates as a network of teams
- New Learning modes that simulate real-world experiences in the context of solving business problems and upskill a student's mindset in addition to skillset and toolset
- New Problem-Solving approaches that use first-principles thinking, apply a cross-industry/functional lens and innovate through experimentation
- New Talent to fulfill the growing demand for analytics -it's not just that there are many careers in analytics, but that every career needs one to be analytics-enabled

Program Highlights
- Designed by TAPMI in association with Mu Sigma to create a new breed of leaders and problem-solvers.
- The eleven-month long program has an optimal mix of classroom sessions, experiential-learning components and real-world problem solving through apprenticeship with leading experts in data and decision science
- Students successfully graduating from the program after meeting the pre-defined cut-off criterion will be eligible for a job offer from Mu Sigma
- Three phases of learning: Induction at Mu Sigma (Bangalore), Management and Leadership at TAPMI (Manipal), and Experiential and Real-World Training at Mu Sigma (Bangalore)
- 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
- Opportunity to collaborate with Mu Sigma leadership and gain a holistic understanding of the entrepreneur mindset required to build an organization ground-up into a profitable unicorn

Desired Candidate Profile

A candidate should meet at least 2 of the below mentioned criteria to be a part of the Selection process of this program:
- Graduate degree with not less than 50% marks in their 10th, 12th and undergrad
- Not more than 4 backlogs in the undergrad program and
- Work Experience: Minimum 2 years, Maximum 6 years

Course Modules

PHASE 1 Introduction Module 1 month by MU Sigma
- Company Orientation on the new Art of Problem Solving (AoPS™)
- Foundational Courses by TAPMI Faculty
PHASE 2 Management and Leadership Module
- Classroom Sessions on foundations of management, industry strategy, statistical and math theory, visualization, digitalization, databases, design thinking, communication and behavioural sciences
- Workshops & Hackathons by Mu Sigma at Manipal
PHASE 3 Experiential and Real-World Training Module
- Live Projects at Mu Sigma on multiple industry verticals/ horizontals such as BFSI (Banking, Financial Services and Insurance), Customer Experience, Digital Strategy, Supply Chain, Deep domain problems such as Product Launch and Fraud Detection and next-gen innovation projects like Artificial Intelligence, Machine Learning, Robotics, Virtual Reality
- Apprenticing to truly understand potential role at Mu Sigma