Classes taught by KPMG experts & other global leaders.
Interact during live sessions and in-person immersions.
Counselling, personal growth mapping and placement workshops.
Learn and grow with 1-1 guidance from KPMG mentors.
Weekend LIVE classes with recorded lectures for self-paced learning.
Learn & Network with an exclusive group of peers from diverse backgrounds.
Champion management issues with innovative tech solutions.
Choose your mastery in Data Science & AI or Cloud computing.
Lead and manage global and diverse teams.
Become an agile techno manager for faster business growth
Digital marketing, Sales, Finance, HR & Strategy
IS architecture, Database Management systems, Software development, Networking & Infrastructure, Information systems applications.
Data science & AI, Cloud computing, Blockchain, AR/VR, Cybersecurity, Brief Introduction to Quantum computing, HCI, Metaverse, Low code/No code.
Data summarization, Power BI to explore & communicate data, Hypothesis testing, Data pre-processing, Making recommendations based on data analysis.
Intro to Digital transformation, Digital Maturity model, Measure your organization's digital maturity, Digital transformation strategy & toolkit.
Introduction, Defining Project Goals and Objectives, Project Planning and Scheduling, Agile Project Management, Project Execution and delivery.
Introduction, Design thinking, Buyer’s persona, Product strategy & vision, Product roadmap & release, A/B testing, MVP, Product launch, GTM strategy.
Entrepreneurship in tech business landscape, Business plan, pitching & presenting, building a team.
Objective: Provide a comprehensive coverage of cloud computing, encompassing technical, managerial, and strategic aspects.
Topics include: Introduction, Cloud infrastructure, cloud service providers, security & privacy, deployment & migration, Monitoring, cloud data management.
Objective: Convert business problems to data science problems. Apply the principles of data science to solve complex problems in a variety of industries.
Topics include: Exploratory data analysis, Predictive modelling / AI / ML, Intro to deep learning, Application of DL – Computer vision & NLP, R & Python basics, AI for business, Designing AI/ML systems, Business application for AI.
Client: An IT Consulting company
Brief: Analyze and predict the win possibilities of deals/projects for an IT consulting company and see how the possibility of winning a deal is impacted by other variables. This will enable the IT consulting company to manage the effort required to win a deal to meet the growth targets.
Client: A Supply Chain company
Brief: Analyze and classify the spend data for the procurement function of a company. This will enable the company to identify the scope for efficiency improvement and better strategic planning.
Client: A Consulting company
Brief: Analyze and predict the attrition probability of an employee. Also, identify the factors that lead to attrition. This will help the company to identify employees who have a high possibility of quitting and will allow them to allocate resources to combat the issue.
Client: A Pesticide Manufacturing company
Brief: Analyze and forecast sales of pesticides for a domestic pesticide manufacturing company and analyze variables that impact the sales of the product. This will enable the pesticide company to manage the production to meet growth/slowdown in sales as per your sales forecast.
UPES is the academic partner to KPMG technology management program. As a leading university in the field of engineering, computer science, and management, UPES brings a wealth of knowledge and expertise to the program. UPES ranked number 9 in the list of top 10 institutions in India by the QS Asia University Ranking 2023.
Partner, Business Excellence and Learning Services KPMG India
You 2.0: Technical Manager, Data Scientist, Data Engineer, Data Architect, Data Manager, Cloud Data Engineer, Data Analyst, Business Analyst, Manager ML
You 2.0: Head of Analytics, Head of Data Engineering, Product Manager, Technical Consultant, Digital Strategist, Digital Transformation Expert, IT Strategy Manager
You 2.0: Technical Program Manager, IT Project Manager, Product Manager
You 2.0: Manager, Team Lead, Data Scientist, Sales/Marketing/Operations/Finance/HR Analyst
Learners of this program will get certified by KPMG & Edology on the completion of the program.
Fill out a simple application form to begin your journey.
Our Experts screen out the applications to select the best fit candidates for the cohort.
An offer letter will be rolled out to the select few candidates. Secure your seat by paying the registration fee.
Total Programme Fees:
In today’s era of constant digital transformation and innovation, companies need agile business leaders who can use technology to increase their growth potential. To put it simply, this course will help techies and non-techies master the fundamentals of technology AND business management. After completion, you will be able to manage technology-related projects and teams.
Whether it's implementing new software, managing a website redesign, or overseeing a digital marketing campaign, techno-managers are the ones making sure everything runs smoothly. They are also responsible for identifying and mitigating potential risks, and for staying up-to-date with the latest developments in their field. Beyond their technical expertise, techno-managers must also possess strong leadership skills, be able to communicate effectively, and be able to work with cross-functional teams. In short, techno managers are essential in today's business world. They help companies stay competitive and adapt to the ever-changing technological landscape.
This course is being taught by senior leadership from KPMG as well as CEOs, academicians, and industry experts from globally renowned institutions.
You can choose one of 2 specialisations: Data science & AI or Cloud computing.
You can avail our Career WayMaker Services for job referrals, networking advice, career mentorship, resume building and interview tips.
Once you have successfully cleared the selection rounds and enrolled in the course, you will be assigned a dedicated academic counsellor who will ensure you get all support and help for the duration of the course.
Anytime before the start of the program, candidate is eligible for full refund without any deductions. Within 15 days of start of the program, there are 30% cancellation charges. Post 15 days of the start of the program, there are no refunds