L25015

Business Analytics & Artificial Intelligence (BAAI – Batch 16)

Program Dates

Start Date: 16 July 2025
End Date: 14 March 2026

Register By

31 May 2025

Program Fees

INR 8,65,000 (Non-residential, Excluding GST)

Venue

IIMB Campus and Hybrid

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Programme Overview

Mode
Hybrid, In-Person
Starting In
July-Sep
Level
Early, Mid-Career, Mid-Senior
International Travel
No
Alumni Status
Yes
Duration
Long Duration

IIMB offers a comprehensive Business Analytics & Artificial Intelligence (BAAI) program, where the curriculum is designed to support executives and professionals with the tools and knowledge of analytics from basics to cutting-edge Gen AI concepts and its applications.

IIMB being the front runner in offering Business Analytics Course, understands the industry requirement. IIMB has published 42 case studies on the use of AI and ML by Indian and multi-national companies at the Harvard Business Publishing (HBP) case portal and 25 of them are best sellers at HBP.

The curriculum is designed to support executives and professionals with tools and knowledge of analytics from basics to the most advanced Gen AI concepts and its applications.

Using case studies based on Indian companies and multinational companies, this course provides in-depth knowledge of analytics and AI/ML tools and techniques that can be used for decision-making and problem solving based on facts.

Key Benefits

  • The certificate programme will equip the participants with analytical tools and prepare them for corporate roles in analytics-based consulting in marketing, operations, supply chain management, finance, insurance, and general management in various industries.
  • The participants will also learn about operationalization of ML models and Generative AI.
  • IIMB EEP Alumni Membership after successful completion of the programme

Who Should Participate?

  • Entrepreneur and Business Owners wanting to understand & implement AI in their innovation and gain returns.
  • Business Leaders and Project Managers looking forward for AI backed solutions to support their decision marking.
  • Subject Matter Experts and Professionals from different industries having no coding background and wanting to explore the potential of Analytics and AI.

Programme Modules

Module 1 – Foundation of Data Science

  • Descriptive Statistics, Probability Distribution, Hypothesis Testing & Statistical Inference
  • Data Visualization & Storytelling
  • Case Studies – Testing Marketing Hypotheses at WSES (IIMB Case); Data- Enabled Insights from Sericulture: Jayalaxmi Agro Tech (IIMB Case); A Dean’s Dilemma: Selection of Students for the MBA Program (IIMB Case); Fantasy sports- Dream 11

Module 2 – Introduction to Python

MOOC Module – Data Preprocessing And Imputation

Module 3 – ML : Supervised Learning Algorithm

  • Case Studies – Pricing of players in the Indian Premier League; Package Pricing at Mission Hospital (IIMB Case -Popular at HBP case portal); Colonial Broadcasting Company (HBS Case); Breaking Barriers – Micro-Mortgage Analytics (IIMB Case); A Game of Two Halves: In-Play Betting in Football (IIMB Case); HR Analytics – Predicting Probability of Renege (IIMB Case -Popular at HBP case portal); Marketing Head’s Conundrum (IIMB Case); Hytex Catalogs; Predicting Employee Attrition at Kramerica Industries

Module 4 – Hands On Learning – Implementing SLA In Python

Module 5 – Unsupervised Learning Algorithm And Optimisation

  • Unsupervised learning algorithms Prescriptive Analytics and Optimization
  • Prescriptive Analytics and Optimization
  • Case Studies – Champo Carpets – Clustering; Merton Truck Company (HBS Case); Supply Chain Optimization at Madurai Aavin Milk Dairy (IIMB Case); Red Brand Canners (Stanford Case); Managing Linen at Apollo Hospitals (IIMB Case); Case on Airline Operations (IIMB Case)

Module 6 – Reinforcement Learning and Forecasting

  • Reinforcement Learning Algorithms
  • Timeseries Data & Forecasting
  • Advanced Machine Learning
  • Case Studies – Customer Analytics at Flipkart (IIMBCase); Browser Wars: Microsoft Vs Netscape (Darden Case); Consumer Choices between House Brands and National Brands in Detergent Purchase at Reliance Retail (IIMB Case); MNB ONE Credit Card Portfolio (Darden Case); Apollo Hospitals: Differentiation through Hospitality (IIMB Case); Demand forecasting for perishable short shelflife homemade food at iD Fresh (IIMB Case –Popular at HBP); Predicting Earnings Manipulation by Indian Companies Using Machine Learning Algorithms (IIMB Case); Customer Analytics At Bigbasket: Product Recommendations (IIMB Case – Popular at HBP case portal); Improving Lead Generation at Eureka Forbes Using Machine Learning Algorithms; Champo carpets

Module 7 – Hands on Learning : Implementing USLA and RL in Python

Module 8 – Deep Learning & Natural Language Processing

Module 9 – Artificial Intelligence & Generative AI

MOOC Module – ANN And Deep Learning

Module 10 – Large Language Models and GEN AI

Module 11 – ML Pipeline using Low Code to no Code Software

Module 12 – ML OPS and Governance

AI Tools

Programme Directors

Dr. U Dinesh Kumar is a Professor of Decision Sciences and Chairperson of Data Centre and Analytics Lab (DCAL) at IIM Bangalore and holds a Ph.D. in Mathematics from IIT Bombay. Dr Dinesh Kumar introduced Business Analytics elective course in 2008 to the PGP students at IIM Bangalore and started one of the first certificate programmes in Business Analytics in India in 2010. He has over 22 years of teaching and research experience and has published more than 70 research articles in leading academic journals. Forty of his case studies on Business Analytics based on Indian and multinational organizations have been published at the Harvard Business Publishing’s (HBP) Case portal. Nine of his case studies are best sellers at HBP. He has authored 5 books, his recent book is titled, “Business Analytics– The Science of Data Driven Decision Making”, published by Wiley in 2017, “Data Visualization : Storytelling using data”, “Machine Learning Using Python” are Amazon Best Sellers. Dr Dinesh Kumar has carried out many corporate consulting projects and conducts training programmes in Analytics. To his credits he has trained more than 3000 professionals in the field of analytics including leadership.

Dr. Jitamitra Desai is a Professor of Operations Research in the Decision Sciences (DS) group at the Indian Institute of Management Bangalore. His research interests are primarily in mathematical/computational decision analytics, particularly in developing large-scale (big-data) optimization algorithms and their applications, notably in aviation, transportation and location theory, energy analytics, and wireless communication networks. I also dabble in some miscellaneous OR problems arising in networks and graphs, stochastic decision analysis, and am starting to dig into some biological applications.
He specializes in Optimization theory, algorithms and computing, with applications to select management and decision science problems. He writes referee reports for approximately 3-4 research papers per year for the following journals : Operations Research, Decision Sciences, Math Programming, SIAM Journal on Optimization, Discrete Mathematics, Journal of Global Optimization, European Journal of Operational Research, Optimization Methods and Software, IIE Transactions, Computers and Operations Research, Transportation Research, and Computers and Industrial Engineering.

Dr. Ananth Krishnamurthy’s research focuses on stochastic modelling and optimization techniques and their applications in industry. Topics of interest include supply chain competitiveness, warehousing and logistics, biomanufacturing, and energy supply chains. He is well versed in Queuing Theory, Stochastic Models and Optimization, Simulation His research has been supported by government agencies as well as industry. Dr. Krishnamurthy has served as the Director of the Center for Quick Response Manufacturing at the University of Wisconsin-Madison.

Programme Schedule & Payment Schedule

Programme Schedule:

Payment Schedule:

How To Apply for the Programme


You are required to upload your Resume and Graduation Certificate in the online application portal.

For any queries related to the programme, please contact Ms. Aditi Chaturvedi on Phone no. +91-80-28993380; +91-89512 81611 or Email ID at aditi.chaturvedi@iimb.ac.in

Contact Us

Ms. Aditi Chaturvedi
Landline No.: +91-80-26993380
Mobile No. +91-89512 81611
Email: aditi.chaturvedi@iimb.ac.in

Certificate Sample

A part time programme certificate of completion will be awarded by IIMB to participants upon successful completion of the programme and satisfying programme requirements.

Sample Certificate:

Note: Certificate image is for reference to potential participants only and may change at the discretion of Executive Education Programmes Office

Testimonials

Testimonials

  • The BAAI-IIMB course is highly structured and precise, has a unique way to help learners to understand the industry problems through real world case studies and peer to peer learning from highly competent corporate professionals

    Harsh Upadhyay
    Head of Business Optimisation, Lamprell, UAE
  • As someone with over 10+ years of experience in a very different domain and skeptical if the data analytics field was for me, this BAAI course, I must admit “had me hooked”! I further finished a PG level certification in AI and MLOps at IISc. BAAI was the foundation to my Data Science Journey

    Bindiya Reddy
    Engineer at Robert Bosch - Australia
  • My experience with IIMB’s BAAI program was truly transformative and an accelerator to my career change. It taught me how to translate complex business challenges into statistical frameworks and enhance them through Data Science Models

    Ch Sovan Krishna Patro
    Senior Manager, PepsiCo - Hyderabad
  • One of the key differentiators in this course was the project work where the student gets an opportunity to solve a real time industry problem. Key learning in this journey was to understand on how to approach any analytics problem and eventually present the solution to the leadership as a story. Our team was fortunate to deliver Sponsor’s requirement and also bag the best project award. We were supported to publish our work on HBP platform

    Rajarajan Rathina
    Head & GM New Technologies & Energy Transition at Tata Consulting Engineers Limited, Bangalore