Skip to content

    ๐Ÿ‘‹ Quick question โ€” how are we doing?

    Machine Learning with Business Applications
    Indian Institute Of Management Bangalore

    Machine Learning with Business Applications

    Indian Institute Of Management Bangalore, Bangalore
    HomeData & AIIndian Institute Of Management BangaloreMachine Learning with Business Applications
    5 daysDuration
    in-personFormat
    EnglishLanguage
    Data & AITopic

    Next Available Cohort

    Choose your preferred start date

    Feb 8 - Feb 12, 2027
    5 days ยท in-person ยท Instructor-Led ยท Bangalore Campus
    Open
    $1,826

    All-inclusive program fee

    About This Program

    Machine Learning algorithms are part of Artificial Intelligence (AI) that imitates the human learning process, which can be used for decision making and problem solving. ML algorithms are systems of problem-solving techniques that exhibit human-like learning capability. While humans learn through practice and experience, machines learn through data. ML algorithms have applications across various industries and different functional areas. The primary objective of ML is to assist in decision making. Today, ML is used for driving innovation and as competitive strategy by several organizations. The theory of bounded rationality proposed by Nobel Laureate Herbert Simon is evermore significant today with increasing complexity of business problems; limited ability of the human mind to analyze alternative solutions, and the limited time available for decision making. Introduction to Enterprise Resource Planning (ERP) systems has ensured availability of data in many organizations; however, traditional ERP systems lacked data analysis capabilities that can assist the management in decision making. ML assists companies with Robotic Process Automation (RPA) and derives cognitive insights. In this executive education programme, we discuss various Machine Learning algorithms with their applications using case studies from various industries. The learning pedagogy includes hands-on sessions for better understanding of how ML is used for solving real-life problems.

    Why Indian Institute Of Management Bangalore?

    IIM Bangalore occupies a position in Indian management education that no other institution quite replicates โ€” a school shaped by a post-Independence nation-building mandate that has since grown into one of Asia's most respected research and leadership institutions. Its executive education programs draw participants from across India's most consequential industries, from Bengaluru's technology corridor to Mumbai's financial sector, and bring them into contact with faculty who are as likely to be publishing in top-tier academic journals as advising a government ministry.

    Your Profile

    • Managers and decision makers with roles in analytics and AI-based consulting in marketing, operations, supply chain management, finance, insurance, and general management in various industries.
    • Professionals already working on ML who want to enhance their knowledge.
    • Professionals with analytical aptitude who would like to start a new career in Analytics.

    Benefits

    • Apply supervised learning algorithms - regression, decision trees, random forests, neural networks - to marketing, finance, and operations problems.
    • Build forecasting models using ARIMA and exponential smoothing for retail, healthcare, and supply chain contexts.
    • Use unsupervised clustering and factor analysis to segment customers and identify hidden data patterns.
    • Gain hands-on experience with R, Python, and Excel for end-to-end ML model development.
    • Analyze real Indian company case studies published at Harvard Business Publishing for problem-solving practice.

    What You'll Learn

    • Supervised Learning for Predictive Analytics: simple and multiple linear regression, feature selection, heteroscedasticity, multicollinearity, and applications in pricing and CRM.
    • Supervised Learning for Classification: logistic and multinomial regression, ensemble methods (random forest and boosting), and applications in sales conversion and attrition.
    • Supervised Learning for Forecasting: moving average, exponential smoothing, ARIMA and ARIMAX models, applied to retail, direct marketing, financial services, and supply chain.
    • Unsupervised Learning Algorithms: K-means and hierarchical clustering.
    • Neural Networks and Deep Learning: multilayer perceptron, backpropagation, convolutional neural networks (CNN), and recurrent neural networks (RNN).
    • Reinforcement Learning: Markov chains, Markov decision process, policy and value iteration algorithms with marketing and finance applications.
    • Natural Language Processing and Text Analytics: text mining, sentiment analysis, and the Naive Bayes algorithm.
    • Case Studies: twelve Harvard Business Publishing cases from Indian and multinational organizations including Flipkart, Apollo Hospitals, Bigbasket, and Reliance Retail.

    Frequently Asked Questions

    How to Apply

    1. 1

      Check your eligibility

      Review the entry requirements listed on this page. Most executive programs require 8โ€“15 years of professional experience.

    2. 2

      Compare programs

      Use Gradia's comparison tool to evaluate up to 3 programs side-by-side on fees, duration, format, and accreditation.

      Compare programs โ†’
    3. 3

      Contact the school

      Send a message directly to Indian Institute Of Management Bangalore via Gradia to request a brochure or speak with an admissions advisor.

    4. 4

      Prepare your application

      Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

    5. 5

      Submit your application

      Apply directly through Indian Institute Of Management Bangalore's official application portal.

      Apply now โ†’

    Other Data & AI programs at Indian Institute Of Management Bangalore

    1 / 21