Program Dates Start Date: 16 July 2025 |
Register By 31 May 2025 |
Program Fees INR 8,65,000 (Non-residential, Excluding GST) |
Venue IIMB Campus and Hybrid |
Apply Now |
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.
Module 1 – Foundation of Data Science
Module 2 – Introduction to Python
MOOC Module – Data Preprocessing And Imputation
Module 3 – ML : Supervised Learning Algorithm
Module 4 – Hands On Learning – Implementing SLA In Python
Module 5 – Unsupervised Learning Algorithm And Optimisation
Module 6 – Reinforcement Learning and Forecasting
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
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.