Invite Your Colleague and Save INR 70,210 (Inclusive of GST)
STARTS ON March 30, 2022 Live Online and In-class Sessions
DURATION 9 Months Live Online Sessions 3 Hours Every Sunday 9.00 AM to 12.00 PM
PROGRAMME FEE INR 5,95,000 + GST (exclusive of application fee) View Payment Plan Loan offered at EMI of INR 24,660 Special Corporate Enrolment Pricing
STARTS ON March 30, 2022 Live Online and In-class Sessions
DURATION 9 Months Live Online Sessions 3 Hours Every Sunday 9.00 AM to 12.00 PM
PROGRAMME FEE INR 5,95,000 + GST (exclusive of application fee) View Payment Plan Loan offered at EMI of INR 24,660 Special Corporate Enrolment Pricing

Programme Overview

The Senior Management Programme in Business Analytics from Indian Institute of Management, Calcutta (IIM Calcutta) will enable senior management professionals looking to advance their competence to employ business analytics for customer-centric value creation and enhanced business transformation. Joining this programme will help participants integrate the strategic aspects of business analytics with relevant technology-oriented operational aspects for actionable insights to enhance productivity and business growth.

Eligibility: Graduates (currently employed) with minimum 10 years of work experience as on Mar 30, 2022 and minimum 50% in Graduation/ Post Graduation.

Programme Highlights

Learn at one of India's Best Business Schools (#3 NIRF 2021)

Three five-day campus immersions* at the IIM Calcutta campus

Immersive hands-on learning through group discussions & simulations

Certificate of completion and IIM Calcutta Executive Education Alumni Status

Real-world actionable programme curriculum with insights on best practices

Eruditus Career Services workshops and job placement assistance

*Subject to prevailing COVID-19 conditions and applicable Central and State Government restrictions.

Who is this Programme for?

The Senior Management Programme in Business Analytics uses innovative pedagogical methods to equip mid to senior-level executives with superior analytics strategies and frameworks. With a focus on proven frameworks and best practices in the industry, participants will learn how analytical innovations are leading to disruption in the business world.

This programme is carefully created for:

  • Managers and Senior Managers looking for a practical understanding of analytics to drive existing or future strategic initiatives, and to tackle business problems using analytics within their organisations to propel their career to the next level.
  • Business/Systems/Data Analysts working in data-centric roles who want to explore the business value in analytics to balance business objectives with analytical outcomes
  • Business Heads, CXO’s, and Leaders who are at the forefront of decision-making in their organisations and recognise the need to leverage analytics for business growth and strategic initiatives, and to be able to provide strategic leadership on analytics projects.
  • Senior Consultants who work with leadership teams to provide direction on how new and existing application of business analytical techniques can lead to innovation and competitive advantage.

Learning Outcomes

  • Gain proficiency in identifying strategic opportunities to implement business analytics solutions for competitive advantage
  • Advance your ability to provide vision and direction to the analytics team to adopt specific analytics tools and techniques to optimise and scale performance
  • Build your capacity in evaluating the need-gap to improve productivity through a data-driven systematic approach
  • Lead high-performing analytics projects and teams effectively towards business transformation
  • Incorporate industry best practices in organisational analytics strategy: customer data privacy, legal and ethical issues

IIM Calcutta Executive Education Alumni Status

Upon successful completion of the programme, participants will be eligible for the prestigious IIM Calcutta Executive Education Alumni Status.

Programme Modules

  • Building a data-driven culture in an organisation
    Learning Objectives
    • Analytics readiness of an organisation and building a data-driven decision-making culture
    • Building organisational team for making use of Data Science and Analytics
    • Appreciating the emerging nature of competition and the role of business analytics
  • Statistics
    Learning Objectives
    • The art of summarising data and statistical learning in decision-making
  • Probability
    Learning Objectives
    • Applied probability and decision-making under uncertainty
  • Sampling
    Learning Objectives
    • Data sampling and the art of inferring about the population from samples
  • Regression
    Learning Objectives
    • Regression techniques and the art of capturing relationships among variables of interest
  • Exploratory Data Analysis
    Learning Objectives
    • Appreciation of analytical reasoning and empirical findings from data
  • Data Visualisation
    Learning Objectives
    • Challenges in Data visualisation and data interpretation
  • Experiment Design, Analysis & Testing
    Learning Objectives
    • Data capture and preprocessing issues
  • Causal Inference and analysis
    Learning Objectives
    • Interpretation of raw data
  • Interpreting results
    Learning Objectives
    • Interpretation of statistical summary of data
  • Data sources
    Learning Objectives
    • Issues in filtering Raw Data for finding extract worth Modeling
  • Data Extraction and Cleaning
    Learning Objectives
    • Outlier analysis, Dimensionality reduction in Data Cleaning
  • Forecasting
    Learning Objectives
    • Business forecasting principles and issues
  • Classification
    Learning Objectives
    • Artificial Intelligence and Machine Learning in decision-making – role of supervised learning
  • Clustering
    Learning Objectives
    • Role of unsupervised learning in decision-making
  • Time series analysis
    Learning Objectives
    • Time series analysis based decision-making
  • Supervised Machine Learning
    Learning Objectives
    • Combining human expertise with data driven intelligence for decision-making
  • Neural Networks and Deep Learning
    Learning Objectives
    • Artificial neural network and deep learning in decision-making
  • Simulation
    Learning Objectives
    • Learning through simulation and games
  • Decision Analysis
    Learning Objectives
    • Individual and group decision-making issues
  • Optimisation Models
    Learning Objectives
    • Use of discrete optimisation concepts in decision-making
  • Game theory
    Learning Objectives
    • Insights from game theoretic situations, network externalities and network effect on economy, information cascade effects in decision-making

Note: Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the total programme hours. E-study material will be provided.

Programme Directors

Prof. Peeyush Mehta

Programme Director & Professor,

Operations Management Group, IIM Calcutta

Professor Peeyush Mehta has a PhD from IIM Ahmedabad. He has been a faculty member at IIM Calcutta, IIT Kanpur and has been a Research Fellow at...

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Prof. Saibal Chattopadhyay

Programme Director & Professor,

Management Information Systems Group, IIM Calcutta

Professor Saibal Chattopadhyay has a PhD from the University of Connecticut, USA. His research interests include quantitative techniques in advanced marketing research, inference on finite population and survey...

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Programme Certificate

Participants will be awarded a completion certificate and the IIM Calcutta Executive Education Alumni Status on successfully completing all evaluation components and having a minimum attendance of 66% in each of the modules

Sample Certificate
Sample Certificate

Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of IIM Calcutta.

Past Participant Profiles

Work Experience
Past Participant Experience
Top Industries
  • IT Services
  • Banking & Finance
  • Telecommunication
  • Manufacturing
  • Others*

*Others include Airline, Consulting, Education, Insurance, and Real Estate, amongst others.

Top Functions
  • Management
  • Analyst
  • Technical
  • Consultant
  • Operations
Top Companies
  • IBM
  • HSBC
  • Boeing
  • Tata Steel India
  • Hewlett Packard

Early applications encouraged. Limited seats are available.

View Payment Plan
Loan offered at EMI of INR 24,660
Special Corporate Enrolment Pricing

Round 1: The first application deadline is
Jan 3, 2022 and the fee to apply is INR 2,500 + GST

Round 2: The second application deadline is
Feb 8, 2022 and the fee to apply is INR 3,000 + GST

In collaboration with Eruditus