Admissions open for 2026-27 Academic Year

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Admissions open for 2026-27 Academic Year

Campus Tours Available

IDEA LABS

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MBA in Artificial Intelligence & Data Science

Where Business Strategy Meets Intelligent Decision-Making

The MBA in Artificial Intelligence & Data Science at Amrita Sai Institute of Science and Technology is designed for students who want to combine management capability with analytical and technology-driven thinking. The programme integrates core business fundamentals with emerging areas such as artificial intelligence, data analytics, business intelligence, and digital decision systems

 

The MBA in Artificial Intelligence & Data Science at Amrita Sai Institute of Science and Technology is designed for students who want to combine management capability with analytical and technology-driven thinking. The programme integrates core business fundamentals with emerging areas such as artificial intelligence, data analytics, business intelligence, and digital decision systems

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BOS - MEETING

Overview

This programme combines management education with practical exposure to artificial intelligence and data science concepts relevant to business operations and strategic planning. Students develop understanding across management domains while learning how intelligent systems and analytics can improve efficiency, forecasting, customer understanding, and organisational performance.

The learning structure balances managerial thinking with analytical capability through case studies, projects, simulations, and applied learning methodologies.

Academic Outcomes

Program Educational Objectives (PEOs)
  • PEO 1
    Graduates will apply foundations in mathematics, science, and computer science to analyse and solve real-world engineering problems.
  • PEO 2
    Graduates will pursue professional careers in AI-driven, software, and technology organisations or advance into higher education, research, and continuous learning.
  • PEO 3
    Graduates will demonstrate communication skills, ethical judgement, leadership qualities, and collaborative ability while contributing responsibly to society.
  • PO1: Management Knowledge
    Apply management principles, business frameworks, and analytical methods to organisational decision-making.
  • PO2: Problem Analysis
    Identify and analyse business challenges using structured reasoning, data interpretation, and strategic evaluation.
  • PO3: Strategic Decision-Making
    Develop practical and data-informed solutions for business operations, planning, and management processes.
  • PO4: Research and Analytics
    Apply research methodologies, analytical tools, and interpretation techniques to support business insights and recommendations.
  • PO5: Modern Tool Usage
    Use contemporary business, analytical, and digital tools relevant to management and intelligent business systems.
  • PO6: Business and Society
    Understand social, ethical, and organisational responsibilities associated with business and technology-driven decisions.
  • PO7: Sustainability and Responsibility
    Promote responsible management practices with awareness of environmental and societal impact.
  • PO8: Professional Ethics
    Demonstrate integrity, accountability, and ethical behaviour within professional and managerial practice.
  • PO9: Individual and Teamwork
    Function effectively as an individual, team member, or leader within multidisciplinary environments.
  • PO10: Communication Skills
    Communicate effectively through presentations, reports, strategic discussions, and professional interaction.
  • PO11: Leadership and Management
    Apply leadership and management principles in organisational planning, execution, and team coordination.
  • PO12: Lifelong Learning
    Recognise the need for continuous learning and adaptability within changing business and technological landscapes.
  • PSO 1:
    Apply business analytics, artificial intelligence concepts, and data-driven methodologies to support strategic and operational decision-making.
  • PSO 2:
    Use analytical tools, intelligent systems, and managerial practices to evaluate business performance and improve organisational effectiveness.

Curriculum Design

A curriculum shaped around management, analytics, and intelligent systems.
  • Strong emphasis on management fundamentals, business operations, and strategic thinking
  • Integration of artificial intelligence, business analytics, and data interpretation methodologies
  • Case-study-driven and project-oriented learning approach
  • Exposure to modern business tools, analytical platforms, and digital systems
  • Curriculum refinement aligned with evolving industry and business technology trends

Program Strengths

  • Industry-aligned curriculum integrating management with intelligent technologies
  • Case-study and application-focused learning environment
  • Exposure to analytics tools, business intelligence platforms, and strategic systems
  • Structured placement preparation and professional development support
  • Academic environment focused on adaptability, leadership, and analytical capability

Business Foundations with Analytical Thinking

Students develop management understanding alongside structured analytical and data interpretation skills.

Industry-Relevant Technology Exposure

Learning includes exposure to AI-driven business systems and modern analytics platforms used across industries.

Application-Oriented Academic Structure

Case studies, simulations, and projects connect classroom learning with practical business scenarios.

Prepared for Evolving Business Roles

Graduates are equipped for business environments increasingly shaped by intelligent systems and digital decision-making.

Overview

This programme combines management education with practical exposure to artificial intelligence and data science concepts relevant to business operations and strategic planning. Students develop understanding across management domains while learning how intelligent systems and analytics can improve efficiency, forecasting, customer understanding, and organisational performance.

 

The learning structure balances managerial thinking with analytical capability through case studies, projects, simulations, and applied learning methodologies.

Academic Outcomes

Program Educational Objectives (PEOs)
  • PEO 1:
    Graduates will apply management principles, analytical thinking, and data-driven approaches to solve business and organisational challenges.
  • PEO 2:
    Graduates will pursue successful careers in business analytics, intelligent systems management, consulting, operations, and emerging technology-driven industries.
  • PEO 3:
    Graduates will demonstrate leadership, ethical decision-making, communication ability, and adaptability within evolving business environments.
  • PO1: Management Knowledge
    Apply management principles, business frameworks, and analytical methods to organisational decision-making.
  • PO2: Problem Analysis
    Identify and analyse business challenges using structured reasoning, data interpretation, and strategic evaluation.
  • PO3: Strategic Decision-Making
    Develop practical and data-informed solutions for business operations, planning, and management processes.
  • PO4: Research and Analytics
    Apply research methodologies, analytical tools, and interpretation techniques to support business insights and recommendations.
  • PO5: Modern Tool Usage
    Use contemporary business, analytical, and digital tools relevant to management and intelligent business systems.
  • PO6: Business and Society
    Understand social, ethical, and organisational responsibilities associated with business and technology-driven decisions.
  • PO7: Sustainability and Responsibility
    Promote responsible management practices with awareness of environmental and societal impact.
  • PO8: Professional Ethics
    Demonstrate integrity, accountability, and ethical behaviour within professional and managerial practice.
  • PO9: Individual and Teamwork
    Function effectively as an individual, team member, or leader within multidisciplinary environments.
  • PO10: Communication Skills
    Communicate effectively through presentations, reports, strategic discussions, and professional interaction.
  • PO11: Leadership and Management
    Apply leadership and management principles in organisational planning, execution, and team coordination.
  • PO12: Lifelong Learning
    Recognise the need for continuous learning and adaptability within changing business and technological landscapes.
  • PSO 1:
    Apply business analytics, artificial intelligence concepts, and data-driven methodologies to support strategic and operational decision-making.
  • PSO 2:
    Use analytical tools, intelligent systems, and managerial practices to evaluate business performance and improve organisational effectiveness.

Curriculum Design

A curriculum shaped around management, analytics, and intelligent systems.
  • Strong emphasis on management fundamentals, business operations, and strategic thinking
  • Integration of artificial intelligence, business analytics, and data interpretation methodologies
  • Case-study-driven and project-oriented learning approach
  • Exposure to modern business tools, analytical platforms, and digital systems
  • Curriculum refinement aligned with evolving industry and business technology trends

Program Strengths

  • Industry-aligned curriculum integrating management with intelligent technologies
  • Case-study and application-focused learning environment
  • Exposure to analytics tools, business intelligence platforms, and strategic systems
  • Structured placement preparation and professional development support
  • Academic environment focused on adaptability, leadership, and analytical capability

Why This Program Works

Business Foundations with Analytical Thinking

Students develop management understanding alongside structured analytical and data interpretation skills.

Industry-Relevant Technology Exposure

Learning includes exposure to AI-driven business systems and modern analytics platforms used across industries.

Application-Oriented Academic Structure

Case studies, simulations, and projects connect classroom learning with practical business scenarios.

Prepared for Evolving Business Roles

Graduates are equipped for business environments increasingly shaped by intelligent systems and digital decision-making.

Take the Next Step

Build management capability with analytical and technology-driven perspective.
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