L26013

Business Analytics & Artificial Intelligence Batch 17

Program Dates

Start Date: 15 Jul 2026
End Date: 27 Mar 2027

Application Deadline

Early Decision :16 Mar 26

Regular Decision: 27 Apr 26

Program Fees

INR 8,65,000

(Non-Residential, Excluding GST)

Venue

Hybrid

(IIMB Campus) 

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

IIM Bangalore’s Business Analytics and Artificial Intelligence (BAAI) Programme for Executives is designed to equip both experienced and early-career professionals with advanced capabilities in data analytics, artificial intelligence, and decision sciences. The programme emphasizes strategic thinking and responsible AI adoption, going beyond tools and algorithms to help participants understand how to invest in AI, redesign business processes, and lead cross-functional teams in an AI-driven environment.

Participants gain hands-on exposure to real business data, contemporary AI techniques, and emerging technologies such as Generative AI and Agentic AI using low-code/no-code approaches. Aligned with the reskilling initiatives of leading corporations, the programme prepares professionals for AI-enabled roles, enhances career progression, and enables them to contribute meaningfully to their organization’s digital and AI investments over the coming decade.

Programme Objective

The programme equips participants with the ability to build, interpret, and deploy analytical and AI models, including supervised and unsupervised learning, deep learning, Generative AI, and Agentic AI using low-code/no-code and programming-based approaches. Emphasis is placed on model evaluation, MLOps, explainable AI, and governance, enabling participants to design scalable, responsible, and production-ready AI solutions that support data-driven decision-making and enterprise-wide adoption.

  • Build expertise in data science, machine learning, and artificial intelligence for business applications.
  • Develop skills to design and deploy predictive and prescriptive analytics models.
  • Gain hands-on exposure to deep learning, LLMs, Generative AI, and Agentic AI.
  • Learn to build end-to-end ML pipelines with MLOps and explainable AI.
  • Apply scalable and responsible AI solutions to real-world business problems.

Key Benefits

  • Industry-relevant AI skills through hands-on learning with real business data and live projects.
  • Ability to design, deploy, and scale AI solutions using modern ML, GenAI, and Agentic AI frameworks.
  • Strong grounding in MLOps, explainable AI, and AI governance for enterprise adoption.
  • Career acceleration with readiness for AI-enabled and data leadership roles.
  • Access to IIM Bangalore faculty expertise and a strong alumni network.

Programme Directors

Dr. U. Dinesh Kumar is a Professor of Decision Sciences at IIM Bangalore and Chairperson of the Data Centre and Analytics Lab (DCAL). He is a pioneer of business analytics education in India and launched one of the country’s first analytics certificate programmes. He holds a Ph.D. in Mathematics from IIT Bombay and has over two decades of academic and consulting experience. He has published 70+ research papers and 40+ case studies with Harvard Business Publishing. Several of his case studies are global bestsellers. He is the author of widely used books on analytics, data visualization, and machine learning.

 

Dr. Ananth Krishnamurthy is a Professor of Decision Sciences at IIM Bangalore and an IIMB Chair of Excellence. His expertise includes stochastic modeling, optimization, and operations research. His research focuses on supply chains, logistics, manufacturing, and energy systems. He has led several industry and government-funded research projects. He previously served as Director of the Center for Quick Response Manufacturing at the University of Wisconsin–Madison. His work blends analytical rigor with real-world applications.

 

Dr. Jitamitra Desai is a Professor of Decision Sciences at IIM Bangalore and an IIMB Chair of Excellence. He specializes in optimization theory, algorithms, and large-scale computational decision analytics. His research spans transportation, aviation, energy, and network systems. He has published extensively in leading operations research journals. He regularly reviews for top international academic publications. His teaching emphasizes scalable, data-driven decision-making.

Course Details

Learn using Statistical & AI tools to automate and accelerate your work

 

Target Audience

  • The participants with a bachelor’s degree in engineering/science/commerce or arts with mathematics as one of the subjects during their Bachelor’s programme.
  • Preferable work experience is 3 years, in exceptional cases applicants with less than 3 years are admitted into the programme

Programme Content

Module 1 :Foundations of Data Science
Module 2 :Introduction to Python & Data Visualization
MOOC Module 1: Data Preprocessing and Imputation
Module 3 :ML : Supervised Learning Algorithm
Module 4 :Implementing SLA in Python
Module 5 :Unsupervised Learning & Timeseries Forecasting
Module 6 :Reinforcement Learning
Module 7 :Optimisation
Projects Initiated
MOOC Module 2: Artificial Neural Networks and Deep Learning
Module 8 :Deep Learning & Natural Language Processing
Module 9 :Artificial Intelligence & Generative AI
Module 10:LLMs, Gen AI & Agentic AI
Module 11:ML Pipeline using Low Code to No Code Software
Module 12:MLP Ops and Governance

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. Nithya on Phone no.+91-8951281611,
+91-80-26993371;  or Email ID at nithya.v@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

Contact Us

Ms Nithya
Mobile No:+91-89512 81611
Landline No.: +91-80-26993371
Email: nithya.v@iimb.ac.in

Award of Certificate

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

IIMB EEP Alumni Membership

The participants become IIMB EEP alumni on successful completion of the programme and thereby gain access to the alumni network across various industry sectors.

Testimonials

  • Being a non-IT investment professional with 20+ years of experience in Private Equity, I was initially sceptical of joining the course. After attending a few classes, all my concerns were addressed, and an exciting journey began. As a professional focused on growth strategy for portfolio companies, I have found this course has helped me identify use cases that support my growth journey. Joining this course has been one of the best decisions of my career !

    Arvind Agarwal- BAAI-16
    Founder, CEO / C4D Partners, An Early-Stage Private-Equity Fund Manager
  • With the rise of AI, analytics and data science across industries, and as someone who likes to stay updated and apply technologies at work, I enrolled in BAAI, and I’m glad I did. .
    This program has strengthened my understanding of AI beyond banking risk and boosted my confidence to guide its deployment in other domains.

    Jaya Viva Kindo- BAAI-16
    VP-Lead Operational Risk Officer, Wells Fargo
  • The program offers a thorough study framework that aligns with my goal of mastering this rapidly evolving technology. I found the video recordings, scribes, whiteboard recording and screen recordings of the LIVE classes are beneficial in accommodating diverse learning styles. The integration of the concepts, class tests, and assignments are well-structured, ensuring a coherent flow of information that enhances understanding without overwhelming students.
    The LIVE projects presents genuine challenges that offer practical insights while solidifying theoretical concepts and have enriched my experience further, allowing me to connect with like-minded professionals. Additionally, the support from the institute has been exceptional. Overall, this program has empowered me with the essential skills to thrive in the dynamic business landscape.

    Jazeem Mohammed- BAAI-16
    Global Industrial Cybersecurity Director Honeywell Process Solution – HPS, Dubai, UAE
  • A significant asset are the Program Directors who bring exceptional academic rigor, clarity, and industry insight. Along with a strong mix of seasoned academicians and industry practitioners including alumni of the BAAI program as the faculty ensures discussions are grounded in real business realities, not just theory.
    The LIVE projects provides valuable practical experience in applying concepts to real business issues. The program manager and staff at the institute offer exceptional support. Peer learning is instrumental in helping participants utilize their diverse strengths, collaborate effectively, and establish valuable professional connections. Overall, this has been a well-structured, enriching, and professionally rewarding learning experience.

    Sindhu A Raj- BAAI-16
    Senior Manager - Learning & Strategy Standard Chartered
  • BAAI program boosted my confidence to advance in the field of AI , Leading to a Promotion during the course itself. The program provided clarity, structure, and renewed energy to my work. I am grateful for the experience at IIMB campus, with its faculty, and learning culture.

    Atharva Mangrulkar - BAAI-15
    Senior Data Scientist PayPal
  • The BAAI Programme has strengthened both my analytical thinking and leadership perspective. It helped me better connect business context with data science and decision-making, and gain clarity on how AI can meaningfully support this journey. The experience has shaped how I now approach data and AI initiatives—as strategic, responsible, and impact-driven enablers of transformation.

    Geetika Sarpal - BAAI-15
    Director, Global HCP and Consumer Media Analytics Eli Lilly and Company