#1 AI Certification
IIM Lucknow Executive Programme in Decision Sciences and AI for Business Leaders
A 7-month, faculty-led programme from IIM Lucknow’s Noida Campus, built for working professionals who need to lead data-driven decisions — not become data scientists.
- Type: Certificate
- Duration: 7 Months
- Fee: ₹2,00,000
- Eligibility: Graduates in any discipline with a minimum of 3 years of work experience.
- Admission Deadline: 30th-Sep-2026
Admission Open
Academic Experts will assist you!
90%
Placement Rate
12K+
Student Enrolled
150+
Hiring Partners
5+
Global Accreditations
About IIM Lucknow Decision Sciences and AI for Business Leaders
The Executive Programme in Decision Sciences and AI for Business Leaders, delivered by IIM Lucknow’s Noida Campus faculty, takes you through six structured modules — from data preparation and business statistics through to predictive modelling, machine learning, and AI strategy and governance — over 7 months of Sunday morning sessions designed around a working professional’s week.
You’ll build predictive models and run analyses hands-on in Python, design dashboards in Power BI and Tableau, and work directly with generative and agentic AI tools rather than just reading about them.
The programme closes with a capstone project — applying everything you’ve learned to a real business problem — presented in person during a 3-day campus immersion at IIM Lucknow’s Noida Campus, where you’ll get direct faculty feedback and build relationships with a cohort of peers facing similar decisions in their own organisations.
Who This Programme Is Built For
These are the peoples who can pursue this program to get exponential growth.
Professionals 3 to 10 yrs of experience
This is the largest group the programme is designed around, and the eligibility bar (3+ years) reflects that.
Managers in Marketing, Finance, HR
who are accountable for outcomes but have never had formal training in the data methods now shaping decisions.
Senior professionals Upskill with AI
who need enough technical fluency to evaluate vendor claims, question a model's design, and build a genuinely evidence-based decision culture in their team
What will you learn in this programme
Curriculum Explained
Module 1: Data in Business and Data Preparation
Topics covered
- Data in Business and Case Introduction
- Problem Framing and KPIs
- Data Understanding
- Data Preparation I (Python)
- Data Preparation II (Python)
Learning Outcomes
Understand how data is structured, sourced, and prepared for business analysis. Frame business problems as data problems and define relevant KPIs. Build foundational Python skills for data wrangling and preparation.
Module 2: Data Visualisation and Prescriptive Analytics
Topics Covered
- Data Visualisation Fundamentals (Power BI / Tableau / Excel)
- Business Storytelling with Data (Power BI / Tableau)
- Advanced Dashboards (Power BI / Tableau)
- Optimisation Thinking (Excel Solver)
- Linear Programming and Decision Modelling (Excel Solver)
Learning Outcomes
Design and communicate data insights through compelling dashboards and visualisations. Apply optimisation and linear programming frameworks to structured business decision problems.
Module 3: Probability and Statistics for Business
Topics Covered
- Probability for Business Decisions
- Sampling and Distributions
- Estimation and Confidence Intervals
- Hypothesis Testing I
- Hypothesis Testing II
Learning Outcomes
Apply probability and statistical thinking to real business decisions. Conduct hypothesis tests to validate assumptions and draw evidence-based conclusions from business data.
Module 4: Predictive Analytics
Topics Covered
- Introduction to Predictive Modelling (Python)
- Linear Regression (Python)
- Multiple Regression (Python)
- Logistic Regression (Python)
- Model Evaluation (Python)
Learning Outcomes
Build and evaluate predictive models using regression techniques in Python. Apply predictive analytics to forecast business outcomes and support data-driven decision-making across functions.
Module 5: Machine Learning and AI
Topics Covered
- Machine Learning Overview (Python)
- Decision Trees (Python)
- Ensemble Methods (Python)
- Clustering (Python)
- Generative and Agentic AI (ChatGPT / Copilot)
Learning Outcomes
Apply core machine learning techniques to classify, cluster, and model complex business data. Understand and use generative and agentic AI tools to augment business analysis and decision-making.
Module 6: AI Strategy, Implementation and Deployment
Topics Covered
- AI Strategy and Business Alignment
- Applied AI System Design
- Responsible AI and Governance
- AI Implementation in Organisations
- AI Deployment and Scaling
Learning Outcomes
Design and evaluate AI strategies aligned with business objectives. Govern AI implementation responsibly and build the organisational capability to deploy and scale AI solutions effectively.
Capstone Project
Topics Covered
- Apply concepts learned across all modules to a real-world business challenge
- Demonstrate end-to-end analytical capability from data preparation to insight and recommendation
- Present findings and outcomes to faculty and peers during the 3-day campus immersion at IIM Lucknow - Noida Campus
Learning Outcomes
Synthesise all programme learning into a practical, integrated business project. Demonstrate the ability to translate data into decisions and present analytical findings to a senior professional audience.
Who Should Enroll in Decision Sciences and AI for Business Leaders
Eligibility Criteria: Graduates in any discipline, with a minimum of 3 years of work experience. There's no requirement for a technical or quantitative academic background — the programme is explicitly designed to build that foundation from the ground up, module by module.
Admission criteria: applications are reviewed and approved by faculty, with preference given to candidates with experience in business analysis, operations, marketing, finance, or strategy.
IIM Lucknow Decision Sciences Certificate
This isn’t a participation certificate issued for enrolling — it’s tied to genuine attendance and assessment performance across the six modules and capstone, consistent with how IIM Lucknow’s other executive credentials are structured.
The 3-day campus immersion at IIM Lucknow’s Noida Campus is where the programme concludes — capstone presentations, direct faculty interaction, and in-person engagement with the rest of the cohort, rather than the entire relationship staying remote from first session to last.
How to Apply for IIM Lucknow Decision Sciences and AI for Business Leaders
Step 1
Select the programme and complete initial registration
Step 2
Receive guidance from a programme advisor
Step 3
Pay the application
fee
Step 4
Submit required documents, and attend an interview if requested
Step 5
Complete onboarding formalities as instructed
Step 6
Complete onboarding formalities as instructed
Placement Companies
Top Companies from all over the Globe
Get placed in top companies with Chief Data and AI Officer Programme career-focused program and dedicated placement support.
FAQ
Frequently Asked Questions
Q1. Do I need a technical or quantitative background to join this programme?
No — the programme is open to graduates in any discipline with a minimum of 3 years of work experience. It’s built to develop your analytical and AI capability from the ground up, module by module, rather than assuming you already have it.
Q2. How long is the programme, and how is it delivered?
7 months, delivered live online (Direct to Device) on Sunday mornings (10:00 AM – 1:15 PM), combined with a 3-day in-person campus immersion at IIM Lucknow’s Noida Campus for the capstone presentation.
Q3. What do I actually need to do to receive the IIM Lucknow certificate?
Maintain at least 75% attendance across the programme and achieve a cumulative overall mark of 50% or above. The certificate is tied to genuine participation and performance, not simply enrolment.
Q4. What tools will I actually learn to use?
Python for data preparation, predictive modelling, and machine learning; Power BI, Tableau, and Excel for visualisation and dashboards; Excel Solver for optimisation; and generative/agentic AI tools including ChatGPT and Copilot.
Q5. What is the total cost, and how is it paid?
₹2,00,000 plus GST in total, including a ₹10,000 registration fee paid at application, followed by three instalments through the programme on scheduled dates. All fees are paid directly to TimesPro (TEEL).
Need to know more about Chief Data and AI Officer Programme ?
Learn more about the course in depth by downloading the course brochure