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

Duration

10 Months

Fees

INR 3,39,000/- + GST

EMI

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Start Date

July, 2023

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

Eligibility

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

Syllabus

Module 1

1 Weeks
1 Hours

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

2 Weeks
2 Hours

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

3 Weeks
3 Hours

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

4 Weeks
4 Hours

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