Syllabus

Module 1 - 3 subjects under Business & Tech

  • Business fundamentals
  • Leadership, Organizational Behavior, Management, Business Economics, Accounting, Analysis of Financial Statements, Marketing, Operations.
  • New-Age Tech Ecosystems
  • Intro to Web 3.0, NFT, Meta, AR/VR, Casual AI, ML, Big Data, Blockchain, Cloud Computing, Cyber, Intelligent Automation.
  • Dealing with Data
  • Data, Data types, Data sources, Business Intelligence, Exploratory Data Analytics, Data Visualization using Power BI, Dashboarding, Storyboarding.

Module 2 - 4 subjects under Business & Tech

Digital Transformation

  • Dealing with Disruption, Incumbents' Dilemma, Technologies Enabled Disruptions & Business Models, Source of Digital Value, Frameworks, Future Disruptions.

Strategic Management

  • Business Strategy, Innovation and Digital Strategy, Project Management, Strategic Leadership.

Digital Product Management

  • Consumer Behavior, Team Management, UX & Design Thinking Product Ideation, Design, Development

Building Entrepreneurial Mindset

  • Mindset Components, Behaviours, Opportunity, Starting a Business, Entrepreneurial Strategy Frameworks, Business Plan.

Module 3 - Specialized learning under selected track

Specialization 1: Big Data and Cloud

  • Cloud and Data Engineering

Principles of Cloud Data Engineering, AWS Tech Essentials, Pipelines, Tasks, Data Models.

  • Big Data Applications and Project

Big Data Technologies and Tools, Load Data, Data Analysis and Modelling, Cloud Concepts, Cloud Platforms, Big Data Cloud Applications.

Specialization 2 - Data Science

  • Advanced Data Analytics

Exploratory Data Analysis, Predictive Modelling, AI, ML, Types of Learning, Deep Learning, Supervised Learning, Unsupervised Learning.

  • Application of AI and ML in Business

Business Value of AI, Architecture of AI ML Systems, Accuracy, Bias, Ethics, Gathering Feedback, Leveraging AI to Create Value, Business Applications.

Module 4 - Real-life Capstone projects

  • Capstone Project based on the selected path in Module 3
  • Real-life problem statements, mentored by KPMG experts
  • The project will culminate with a presentation to the industry partner by the students

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