PGP in Technology Management by KPMG

A PGP in Technology Management can equip you with the knowledge to aid businesses in meeting new challenges.

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Accreditation / Approval

KPMG in India



10 Months



INR 3,72,000/- + GST



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Start Date



Post Graduate Program in Technology Management

Today’s era of constant digital transformation and innovation has increased the demand for agile business leaders who can use technology to improve the company’s growth potential. This course helps techies and non-techies master technology fundamentals and business management.

A PGP in Technology Management enables you to champion management issues with innovative tech solutions. Your responsibilities might include overseeing the integration of staff with information technology (IT), directing a company’s future technology use, and ensuring that technology use supports product development and distribution .

Key highlights

10-month online program with Weekend LIVE classes


In-person bootcamps sessions (2)


Learn from KPMG experts & other global leaders.


Learn to leverage new age technologies in business.


Develop strong understanding of management principles in context of start-ups & tech businesses.


Develop practical knowledge & skills by working on real-world projects.


Career prospects
  • Technical Manager
  • Data Scientist
  • Data Engineer
  • Data Architect
  • Data Manager
  • Cloud Data Engineer
  • Data Analyst
  • Business Analyst
  • Technical Program Manager
  • IT Project Manager
  • Product Manager
Skills covered
  • Understanding of Management principles
  • Apply tech in business
  • Drive digital innovation
  • Leverage Data to drive business growth & performance
  • Develop strategic thinking, decision-making
  • Development of digital product strategies
  • Entrepreneurial mindset
  • Specialize in Data science / Big data & cloud
  • Applicants must have a bachelor’s degree in any discipline from a recognised national university. Since this is a leadership programme, we prefer candidates with at least 2 years work experience.
Selection process
  • Step 1: Fill out a simple application form
  • Step 2: Screening and interview process by the admission panel
  • Step 3: Offer letter roll-out basis selection


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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