Executive Certificate Programme in Managerial Decision Making and Analytics
Features
Programme Overview
The Executive Certificate Programme in Managerial Decision Making and Analytics is designed for working professionals who want to elevate how they think, frame, and execute high-stakes decisions across functions.
The programme uniquely bridges qualitative and quantitative rigor with real-world managerial application, making it a decision leadership programme built for managers who own outcomes.
Through live sessions, case-based learning, simulations, analytics labs, software demonstrations and peer cohort discussions, participants engage with decision-making concepts and their applications across business functions.
₹ 1,00,000 + 18 % GST
Class Schedule
Sundays, 10:00 AM to 1:30 PM, including a 30-minute break.
Eligibility Criteria
Graduate in any discipline
Preference will be given to participants with 2 years of work experience.
Programme Highlights
E-Certificate From CEP, IIT Delhi
Synchronous, Live Online Learning
Case-Based Learning
Simulations
Analytics Labs
Software Demonstrations
Peer Cohort Discussions
2 -Day Campus Immersion (Optional)
Programme Modules
Why people make bad decisions and how to stop
Decision types and stakes
Decisions under certainty, risk, uncertainty and ambiguity
Cognitive biases and decision traps
Problem framing and issue trees
Decision rights and governance
You don't need to be a statistician. You need to think like one.
Probability and business risk
Central tendency, spread, and what they hide
Correlation vs. causation
Regression for forecasting
Hypothesis testing for business decisions
AI is not your replacement. It's your most powerful analyst.
AI/ML landscape for managers
Decision trees & classification
Artificial neural networks – intuition for leaders
Fuzzy logic & grey decisions
Large Language Models in business
When there's no single right answer, structured frameworks win.
MCDM introduction & applications
Weighted scoring & utility models
Weighted sum, reference value and outranking approaches
Goal programming and genetic algorithm
Software demonstration
Use AI like a Chief of Staff. Research, synthesize, decide, communicate faster.
Gen AI landscape – tools & use cases
Prompt engineering for managers
AI for report writing & presentations
Copilot, Gemini & ChatGPT – live workflows
AI governance & responsible use
Building your personal AI toolkit
The most crucial decisions any manager makes
Workforce planning models
Hiring analytics and structured selection
Promotion and succession frameworks
Performance data interpretation
Algorithmic bias and HR ethics
Saying yes to the right bets and no to the rest
Capital budgeting decisions
DCF, Payback Period, ROI—when to use which
Go/No-Go frameworks for projects
CVP analysis and profit planning
Ratio analysis for performance diagnosis
Decisions that directly touch the top line
Marketing mix optimization
Brand equity and brand portfolio decisions
Pricing strategy and revenue management
Customer lifetime value analytics
Launch/kill decisions for products
The decisions that determine whether strategy gets delivered
Facility location and layout
Demand forecasting – statistical and AI models
Inventory optimization models
Production and capacity planning
Project management decisions
Supply chain network design (Solver demonstration)
Supplier evaluation and selection
Risk mapping and resilience strategies
Life Cycle Assessment (LCA) with software demonstration
Deciding what technology to adopt, when, and how
Technology strategy and fit assessment
Build vs. buy vs. partner decisions
Technology roadmapping
Innovation portfolio management
Digital transformation go/no-go calls
Learning Outcomes
Frame ambiguous business problems as structured decision problems.
Evaluate trade-offs using multi-criteria frameworks in real scenarios.
Lead data-informed decisions across Strategy, HR, Finance, Marketing and Operations.
Build organisational decision frameworks that reduce bias and improve team-level choices.
Apply statistical and AI-assisted tools without writing code.
Build a decision-making culture within your organisation.
Make investment, product-mix, branding, pricing, sourcing, inventory, production and people decisions.
Programme Coordinator
Professor Abhijit Majumdar
R. Jaikumar Chair Professor for Operations Management
Professor, Department of Textile and Fibre Engineering
Indian Institute of Technology Delhi
Prof. Abhijit Majumdar is currently holding the position of R. Jaikumar Chair Professor for Operations Management in Textile and fibre Engineering department at Indian Institute of Technology, Delhi, India (IIT Delhi).
He is a Visiting Professor at the School of Business, Education & Law at the University of Huddersfield, UK and an adjunct professor to Faculty of Finance and Banking of Ton Duc Thang University, Vietnam. He has 27 years of experience in academia and 2 years in industry. His research area includes multi-criteria decision making, supply chain management, risk management and resilience, sustainability and life cycle assessment.
He has authored two textbooks and edited five books. He has published 195 research papers in peer-reviewed journals, which have been cited more than 11,000 times. He is an area editor of Operations Management Research and an associate editor of International Journal of Logistics Management.
He is the recipient of the Eminent Engineer Award of Institution of Engineers, India (2023), Best Industry Relevant Ph.D. and Master's Project Supervision Award, IIT Delhi (2023, 2019); Gandhain Young Technology Innovation (GYTI) Award (2016 and 2021); Teaching Excellence Award of IIT Delhi (2015) and Outstanding Young Faculty Fellowship, IIT Delhi (2009–2014).
Programme Faculty
Professor Surya Prakash Singh
Professor
Department of Management Studies
Indian Institute of Technology Delhi
Prof. Surya Prakash Singh is a Dhananjaya Chair Professor and Ex-Head in the Department of Management Studies (DMS), Indian Institute of Technology Delhi (IITD), India. He also served as Chairperson, Operations & Supply Chain group at DMS, IIT Delhi. He holds a Ph.D. from IIT Kanpur. He is also a postdoctoral fellow from NUS-MIT alliance, Singapore. He has been also a visiting professor/ fellow at China; Denmark; France; and UK. Recently, he awarded fellowship by the Otto Monsted foundation, Denmark for his work. He works in the area of Operations & Supply Chain and published papers in leading international journals of repute with h-index of 51 and total citation more than 10000. Prof. Singh also carried out projects and consultancies at domestic and international level for private/ public entities. Prof. Singh also authored a text book on Production & Operations Management published by Vikas Publishing House, New Delhi
Professor Smita Kashiramka
Professor
Department of Management Studies
Indian Institute of Technology Delhi
Prof. Smita Kashiramka is a Professor in Finance at the Department of Management Studies, IIT Delhi. She holds a Ph.D. in Mergers and Acquisitions from BITS Pilani, Pilani Campus. She has over two decades of academic and research experience. Her areas of interest include Financial Institutions and Markets, Banking, Corporate Finance, and Mergers & Acquisitions. She has been invited for guest lectures by several eminent institutions, including IIFT, New Delhi, IIM Raipur, and IIT Jammu, to name a few. She has also conducted training programmes for national and international participants from both the government and private sectors. She has published papers in several international and national journals of repute, including those listed in the Australian Business Deans Council list, Scopus, and ABS Journal Quality list. She has also presented several papers at international peer-reviewed conferences.
Prof. Smita has worked on several research projects funded by organizations of international and national repute including the Bill and Melinda Gates Foundation, USA, the Ministry of Textiles, the Ministry of Human Resource Development, and the Ministry of Agriculture and Farmers Welfare, Government of India. She has also organized and conducted training programmes for international participants as well as government institutions including Tshwane University of Technology, Pretoria, South Africa, the Airports Authority of India, Hindustan Zinc Ltd., etc.
Professor Sushil
Professor
Department of Management Studies
Indian Institute of Technology Delhi
Prof. Sushil is Abdulaziz Alsagar Chair Professor (Professor of Strategic, Flexible Systems and Technology Management) and Chair, Strategic Management Group, Department of Management Studies, Indian Institute of Technology Delhi. He has served as Deputy Director (Operations) and Dean (Faculty) at IIT Delhi. He has served as Visiting Professor and delivered seminars in many leading universities, such as Kyoto University, Tokyo, University of Minnesota, Minneapolis, MN, Stevens Institute of Technology, NJ, University of Lethbridge, Alberta, Université Paris 1 Panthéon-Sorbonne, Paris, among others. He is an active researcher and has supervised more than 60 doctoral dissertations. He has twenty books to his credit in the areas of Flexibility, Strategy, Systems Thinking, and Technology Management and over 300 papers in various refereed journals and conferences. He is the Founder Editor-in-chief of Global Journal of Flexible Systems Management and serving on the Editorial Boards of leading international journals. He is the Editor of Book Series on Flexible Systems Management published by Springer.
Programme Sample Certificate
Participants who successfully meet the below evaluation criteria will be awarded a ‘Certification of Completion’ – “Executive Certificate Programme in Managerial Decision Making and Analytics”.
Criteria to be applied for the Participation Certificate: Attendance 50%
Criteria to be applied for the Successful Completion Certificate: Attendance 50% and at least 50% score in evaluation components
Only an e-certificate will be provided.
The above e-certificate is for illustrative purposes only and the format of the certificate may be changed at the discretion of IIT Delhi.
Installment Schedule
Programme Fee INR 1,00,000 + 18% GST
Instalment | Date | Amount (₹)** |
Application Fee | Application Fee | 1,000 + 18 % GST |
1st Instalment | Within 3 days of the release of an offer letter | 60,000 + 18 % GST |
2nd Instalment | 23rd January, 2027 | 40,000 + 18 % GST |
Note:
*GST @ 18% will be charged extra in addition to the fees
The application fee of INR 1,000/- + 18% GST is non-refundable and non-transferable. This fee is in addition to the programme fee and will not be adjusted against the total programme fee.
Refund Policy
Candidates can withdraw within 15 days from the programme start date. A total of 80% of the total fee received will be refunded. However, the applicable tax amount paid will not be refunded on the paid amount.
Candidates withdrawing after 15 days from the start of the programme session will not be eligible for any refund.
If you wish to withdraw from the programme, you must email cepaccounts@admin.iitd.ac.in and crm.supportid@jaro.in, stating your intent to withdraw. The refund, if applicable, will be processed within 30 working days from the date of receiving the withdrawal request
Frequently asked questions
The Executive Certificate Programme in Managerial Decision Making and Analytics is a six-month programme offered through synchronous, live online learning. The programme includes 60 learning hours comprising live sessions, case studies, immersions and a capstone project.
It should be "Graduates from any discipline are eligible to apply". Admission is based on academic and professional background. Programme coordinators will shortlist profiles, and one-on-one interviews may be scheduled if required.
The programme covers managerial decision-making, statistical thinking, AI and ML for decision support, multi-criteria decision making, GenAI for decision making, and decision applications across People & Talent, Finance, Marketing, Operations & Supply Chain, Technology and Innovation.
The programme is designed to develop decision-making capabilities at the intersection of data science and business without requiring a formal analytics background. It also covers the application of statistical and AI-assisted tools without writing code.
Participants learn through live sessions, case-based learning, simulations, analytics labs, software demonstrations and peer cohort discussions. The programme also includes assignments, a Business Decision Project and a Capstone Project.
Yes. Participants may have the opportunity to attend a 2-day campus immersion. It is optional, based on participant willingness, and subject to participant count and faculty availability. Travel and stay expenses will be borne by participants.
Participants who meet the evaluation criteria with grades above 50% and satisfy the requisite attendance criteria will receive a Certification of Completion – Executive Certificate Programme in Managerial Decision Making and Analytics, issued as an e-certificate by CEP, IIT Delhi.
No. The E-Certificate Programmes under CEP, IIT Delhi do not provide placement support or alumni status.