| Programme Dates | Last Date to Apply | Programme Fees |
Venue |
|---|---|---|---|
| Start Date : 15 Jul 2024 End Date : 05 Apr 2025 |
Early Decision: 26 Apr 2024 Regular Decision: 31 May 2024 |
Rs. 8,65,000/- |
IIMB Campus and Hybrid |
Business Analytics is a multi-dimensional and interdisciplinary concept. Various dimensions of Business Analytics include data governance, exploratory data analysis, pattern recognition, problem solving, solution deployment and ultimately value creation for all the stakeholders. To create value through data, we use multiple discipline such as mathematics, statistics, artificial intelligence, machine learning, generative AI, computer science and management strategy. Since the advent of analytics in solving business problems, the demand for Analytics, Machine Learning, Artificial Intelligence and Generative AI professionals has increased dramatically.
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.
Programme Objectives:
Key Benefits:
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 20 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. His case studies are used by more than 250 Institutions across 70+ countries across the world.
Dr Dinesh Kumar has carried out predictive and prescriptive analytics consulting projects for organizations such as The Boston Consulting Group (India) Private Limited, Hindustan Aeronautics Limited, Qatar Airways, Mission Hospital, Manipal Hospitals, Scalene Works, Wipro Limited, UNIBIC and the World Health Organization etc. Dr Dinesh Kumar conducts corporate training programmes in Analytics and has trained more than 1000 professionals in the field of analytics.
Professor Rajluxmi Murthy’s research and teaching interests are in the field of Optimization and Simulation, especially in their applications to logistics management and service industries. She has done PhD (Operations Research), Southern Methodist University, Texas, USA, 1994; MS (Applied Mathematics), Florida State University, Tallahassee, Florida, USA, 1988; MSc (Mathematics), IIT Roorkee (Univ. of Roorkee), Roorkee, India, 1984 and BA (English, Mathematics, and Economics), Garhwal University, Dehradun, 1982.
The course will benefit executives, project leaders and senior managers working in various sectors with coding and non-coding background. The course is designed for professionals who would like to improve ROI for their companies’ using analytics.
The course consists of fourteen course modules, two MOOC modules and a project.
Module – 1: Foundations of Data Science
Module – 2: Data Visualisation & Storytelling through Data
MOOC Module : Data Processing & Imputation
Module – 3: Machine Learning – Supervised Learning Algorithms
Module – 4: Prescriptive Analysis
Module – 5: Stochastic Models (Reinforcement Learning Algorithms with Applications in Marketing and Retail Analytics)
Advanced Analytics (Modules 6-14)
Module – 6: ML – Unsupervised Learning
Module – 7: Forecasting
Module – 8: Supply Chain Analytics
Module – 9: Advanced Machine Learning
Module – 10: Big Data Analytics
Module – 11: Artificial Intelligence, Deep Learning & Generative AI
MOOC Module – Artificial Neural Networks & Deep Learning
Module – 12: Natural Language Processing
Module – 13: ML Operations & Explainable AI
Module – 14: AI in Practice
Programme Schedule
Payment Schedule
Short-listed candidates will be interviewed based on their performance on the online aptitude test and past academic performance, quality of work experience, and fit for an analytics position.
Important Dates
Round 1
Application Deadline – 26 Apr 2024
Online Aptitude Test – 04 May 2024
Result Announcement – 17 Jun 2024
Round 2
Application Deadline – 31 May 2024
Online Aptitude Test – 08 Jun 2024
Result Announcement – 01 Jul 2024
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. Mohsina Jabeen on Phone no. +91-80-28993563; +91-78999 91516 or Email ID at mohsina.eep@iimb.ac.in
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
Ms. Aditi Chaturvedi
Landline No.: +91-80-26993380
Mobile No. +91-89512 81611
Email: aditi.chaturvedi@iimb.ac.in
A part time programme certificate of completion will be awarded by IIMB to participants upon successful completion of the programme and satisfying programme requirements.
The participants become IIMB EEP alumni on successful completion of the programme and thereby gain access to the alumni network across various industry sectors.
Top-notch faculty, contemporary content, a great learning environment, and application orientation make the IIMB Exec Ed programmes world-class.