Flagship 3-Year Program

Business,
Analytics &
Digital Leadership

Forge your path as a future-ready leader with a curriculum designed at the intersection of strategic management and computational intelligence.

03 Years Professional Program
Industry-Integrated Projects, Labs & Capstone
Talk to Admissions
Students in a collaborative analytics leadership classroom
Mentored by Industry Leaders Practice-Led Curriculum

Why This Program

Business + Analytics Core

Build strong foundations in strategy, business problem-solving, and data-driven decision making.

Leadership Readiness

Develop communication, stakeholder management, and execution skills for modern leadership roles.

Industry-Integrated Learning

Apply concepts through projects, labs, and capstone work aligned to real business outcomes.

Strategic Management

Learn business models, competitive analysis, and strategy frameworks for growth and scale.

Computational Intelligence

Use analytics and AI concepts to solve business problems and improve decision quality.

Industry Capstone

Deliver an end-to-end business case from analysis to strategic recommendation and execution roadmap.

Leadership Communication

Present with clarity, align teams, and drive execution across cross-functional stakeholders.

Responsible Decisioning

Use ethical, risk-aware, and data-backed approaches for trustworthy strategic choices.

Track Capstones

  • Business Analytics - End-to-end analytics dashboard + decision system
  • Digital Marketing & Growth - Full-funnel digital growth engine
  • Finance & Strategy - Financial model + business strategy case
  • Operations & Supply Chain - Process optimization + operations transformation
  • Product & Business Management - Product launch + growth strategy

Program Credential

Receive a completion credential after assessments and capstone evaluation.

Credential Business, Analytics & Digital Leadership

Hands-On Roadmap

1-3

Foundation & Strategy Build

  1. Semester 1

    • Business case discussions
    • Financial statement analysis
    • Communication and presentation exercises

  2. Semester 2

    • Excel dashboards and analytics
    • SQL queries and datasets
    • Data-driven decision exercises

  3. Semester 3 - Business Strategy Challenge

    • Market analysis and strategy design
    • Digital marketing campaign planning
    • Flagship: Business Strategy & Analytics Challenge
    • Problem -> Analysis -> Strategy -> Presentation
    • Live evaluation by industry leaders
4-6

Execution & Transformation

  1. Semester 4

    • Financial modeling and valuation
    • BI dashboards and reporting
    • Business experiments and A/B testing
    • Track-based applied projects

  2. Semester 5

    • Digital marketing campaigns
    • CRM workflows and lifecycle design
    • AI-enabled business workflows
    • Advanced track projects

  3. Semester 6 - AI Business Transformation Challenge & Capstone

    • End-to-end business strategy execution
    • AI-driven decision systems
    • Flagship: Digital Growth & AI Business Transformation Challenge
    • Real-time business problem solving

Journey & Specialization

Foundational Years

Level 1 Exit

Level 1 Certificate

Conferred after Year 1 completion.

Level 2 Exit

Level 2 Certificate

Conferred after Year 2 completion.

Specializations

Selected at end of sem 3
  • Business Analytics
  • Digital Marketing & Growth
  • Finance & Strategy
  • Operations & Supply Chain
  • Product & Business Mgmt.

Milestones

Semester 3 Flagship

Business Strategy & Analytics Challenge

Focus: Data-driven market positioning and competitive intelligence modeling.

Semester 6 Flagship

Digital Growth & AI Transformation

Focus: Generative AI implementation and scalable digital unit economics.

Year 3 Exit

Honours Certificate

Advanced professional credential.

Top Companies Hiring

Leading consulting, tech, consumer, and enterprise teams hiring business, analytics, and digital leadership talent.

McKinsey & Company BCG Deloitte Accenture Amazon Google Meta Flipkart Zomato Swiggy Tata Group Reliance

Master Technologies

Core analytics, growth, AI, and business execution tools used throughout the program.

Excel (Advanced)
SQL logoSQL
Power BI / Tableau
Salesforce logoHubSpot logoCRM Platforms
Google Ads logoMeta logoDigital Marketing Platforms
Google Analytics logoAnalytics Tools (Google Analytics)
AI Tools for Business Productivity
Financial Modeling Tools
Zapier logoAutomation tools logoProcess Automation Tools