Offered by Indian Institute of Management Calcutta

IIM Calcutta Advanced Programme in Business Analytics

A 12-month executive programme (live online with campus immersion) for working professionals that builds strategic analytics, AI/ML and data storytelling skills to solve business problems and lead data-driven transformation.

Duration
12 Months
Current batch / intake
Batch 16
Learning format
Live Online & Campus Immersion
Program fee
₹5,66,500
Program start
31 January 2027
Apply by
1 November 2026
Duration 12 Months
Mode Live Online & Campus Immersion
Program Fee ₹5,66,500
Apply By 1 November 2026

Program Overview

This 12‑month Advanced Programme in Business Analytics (APBA) from IIM Calcutta combines live online instruction with two mandatory on‑campus immersions to equip working professionals with practical analytics and AI skills. The curriculum spans data mining, statistics, decision modelling, machine learning, big data, cloud platforms, and time‑series and predictive modelling, and culminates in an industry‑facing capstone project.

Designed for managers, tech professionals, analysts and career switchers, the programme emphasises business problem framing, hands‑on modelling and data storytelling so participants can convert analytics into measurable business outcomes across marketing, finance, operations and supply chain. The delivery mixes lectures, case studies, assignments and platform‑based sessions to ensure applied learning and peer interaction.

Successful completion requires meeting evaluation and attendance criteria; graduates receive an IIM Calcutta Certificate of Successful Completion and access to the IIM Calcutta Executive Education alumni network.

Why consider this program

Key highlights and core differentiators that set this program apart.

IIM Calcutta Executive Education Alumni status

Live online classes every Sunday with mandatory campus immersions at IIM Calcutta

Industry-relevant capstone project and real-world case studies (Amazon, HSBC, Netflix, PepsiCo)

Comprehensive AI/ML, GenAI and Responsible AI curriculum

Blended delivery via TEEL platform with interactive pedagogy

What you may gain

Core capabilities, strategic skills, and managerial frameworks you will acquire.

  • Build data-driven decision-making capability to interpret, analyse and leverage data for confident business decisions.
  • Solve complex business challenges using AI, machine learning and analytics to drive measurable outcomes.
  • Transform data into actionable insights using analytical models and predictive techniques.
  • Communicate insights with impact through dashboards, visualisation and data storytelling to influence strategy.
  • Apply analytics across functions: marketing, finance, operations, supply chain—to improve performance.
  • Lead responsible AI adoption by understanding ethical AI, data governance and privacy.
  • Gain hands-on industry experience via real-world projects and case studies.
  • Develop a strategic mindset and analytical capabilities to lead digital transformation and create business value.

Program at a glance

Essential delivery mode, timeline, and candidate eligibility at a glance.

Career level
Mid-Level
Mode
Live Online & Campus Immersion
Language
English
Certification
Certificate
Application status
Open

Curriculum / Course Content

Comprehensive breakdown of course modules, masterclasses, and hands-on projects.

Fundamentals of Data and Analytics

  • What is Data, Types of data

  • Introduction to Data, Big Data, and Analytics

- Introduction to Data Analysis: Similarities and Dissimilarities of Descriptive, Predictive, and Prescriptive Analytics

  • Visualisation Principles and Storytelling

- Tools: Excel, Python

  • Dashboard Design

  • Data Storytelling for Executives

  • Different Sampling Techniques & Random Variables

- Probability, Distributions, Estimation: Hypothesis Testing

  • Linear Algebra and Optimisation
  • Fundamentals of ML Lifecycle and Business Problem Framing

  • Bias-variance Tradeoff and Model Selection

  • Model Evaluation Metrics (ROC, AUC, Precision-recall)

  • Feature Engineering and Model Optimisation

  • Python for AI Model Deployment

  • Storytelling using Python

  • Big Data Analytics using Python

- Time Series Data Properties: Stationarity Vs Nonstationary

  • Forecasting using Linear Time Series Model

  • Forecasting using Multivariate Time Series Model

  • Data Lakes vs Data Warehouses

  • Cloud Platforms

  • Data Storage and Management

  • Regression, Classification Models

  • Clustering and Segmentation

  • Association Rules and Recommender Systems

  • Ensemble Methods (Bagging, Boosting)

  • Industry 4.0, IoT, and Analytics

  • Predictive Maintenance

  • Digital Twins

  • AI in Process Automation (RPA + AI)

  • Platform Business Transformation using Data

  • Neural Networks, CNN, RNN

  • NLP Basics

  • Transformers and LLMs (GPT, BERT)

  • Prompt Engineering for Business Use Cases

  • Generative AI Applications (Content, Code, Analytics Automation)

  • Agentic AI in Enterprises

  • Workflow with Agentic AI

  • Portfolio Analytics and Risk-return

  • Algorithmic Trading Basics

  • NLP on Financial Reports (Sentiment Analysis)

  • Customer Segmentation and Targeting

  • Campaign Analytics and ROI

  • Digital Marketing Analytics

  • Process Optimisation

  • Supply Chain Analytics

  • Simulation Models and Optimisation Techniques

  • AI in Logistics and Demand Forecasting

  • Cyber Threat Detection

  • AI in Fraud Detection

  • AI in Anomaly Detection

  • Bias, Fairness, Transparency

  • Explainability in AI

  • Data Privacy and Governance

  • AI Regulations

  • Ethical use of GenAI in Business

  • Social Network Analytics

  • Network Centrality

  • Information Diffusion

  • Causal Inference vs Correlation

- Causal Inference: Experimental Designs

  • Application using Programme Evaluations
  • Solve a Real Business Problem using Analytics

  • Industry Dataset-based Project

Learning format and experience

Format, class schedules, campus immersion details, and evaluation criteria.

Study format

Mode and time commitment

Mode
Live Online & Campus Immersion
Duration
12 Months
Live learning

Class schedule

Sunday · 9:00 AM – 12:00 PM · Weekly · as listed in ClassTimings

In-person experience

Campus component

Experience immersive learning with two on-campus modules designed to enhance your practical business knowledge.

  • There will two campus immersion modules of 3 days each, one in between and the other at the end of the programme.

  • The in-campus modules are subject to the conditions that prevail at that point of time. These conditions pertain to the pandemic or other unavoidable reasons. In case the on-campus module is not confirmed, the same will be included in the total number of online sessions.

  • Please note: It is mandatory for participants to attend the campus visit for successful completion of the programme.

Learning approach

How you will learn

The teaching approach will be highly interactive and leverage technology using diverse pedagogical tools and techniques including lectures, real-life case studies, assignments, quizzes, and platform-supported sessions.

Assessment

How learning is evaluated

  • Participants are evaluated by IIM Calcutta through examinations and other evaluation methods required for certification.

  • Examinations are conducted with support from Times Edutech and Events Limited (TEEL); module-level evaluations will be held for modules except those held on campus.

  • For evaluated modules, grades may be: “Excellent”, “Good”, “Fair”, or “Poor”.

  • Successful completion requires meeting attendance criteria and obtaining no more than two “Poor” grades in the whole programme.

  • Attendance requirement: minimum 75% attendance is mandatory; participants must attend both campus visits for successful completion.

Eligibility and admissions

Eligibility criteria, work experience requirements, and admission steps.

Who this program is for

  • Mid-career professionals, managers, engineers, data analysts, IT specialists or consultants interested in developing analytical and data-based skills.

  • Professionals working across industries such as marketing, operations, IT, finance, consulting or any data-driven field.

  • Tech professionals who want to connect analytics with business insights.

  • Managers and team leads seeking to make informed, data-backed decisions.

  • Aspiring analysts formalising interest in analytics (familiarity with high-school level mathematics required).

  • Career switchers aiming to transition into analytics-driven roles.

Eligibility criteria

  • 3+ years of full-time work experience

  • Post graduation/graduation with min. 50% marks

  • Screening and selection by IIM Calcutta

*Note: Internships and training experiences will not be considered as full-time work experience.

Minimum qualification
Graduate
Experience
3yrs and above

Admission and selection process

Admission criteria

  • Statement of Purpose (SoP) and candidate's credentials will be required for assessment.

  • Selection will consider educational qualifications, professional experience and motivation as submitted in the SoP.

  • Screening and selection decisions are made by IIM Calcutta.

Selection criteria

  • Applicants meeting eligibility will be screened by IIM Calcutta; final selection is subject to institute assessment of profile and SoP.

Alumni connection

Graduates gain official alumni recognition and lifetime networking privileges.

  • Join IIM Calcutta’s Executive Education Alumni community of over 35,000 professionals.

  • Receive a personalised alumni email ID and lifelong recognition as an IIM Calcutta Executive Education alumnus.

  • Access the IIM Calcutta Alumni Portal and Mobile App to network and collaborate.

  • Share job and live project opportunities, and connect with fellow alumni for mentorship and collaborations.

  • Enjoy a 5% programme fee discount on your next IIM Calcutta Executive Education programme.

  • Participate in ongoing alumni thought‑leadership sessions and institute initiatives.

Important Dates

Key application deadlines, batch commencement dates, and intake schedules.

Application Deadline 1 November 2026
Program Start Date 31 January 2027

Date notes

Campus immersion dates and formats are subject to prevailing government and institute regulations (e.g., pandemic). If on‑campus modules cannot be confirmed, their content will be included in online sessions.

Fees and Financing

Tuition fees, flexible installment schedules, and available financing options.

Total Programme Fee₹5,66,500
Fee or instalmentAmountDue date / termsNotes
Processing Fee / Application Fee₹5,000—Processing/Application fee. Refund of ₹5,000 (Application Fee) if profile rejected by IIM Calcutta subject to deduction of ₹2,500 administrative charge.
Total Fees (Including Processing Fee)₹5,66,500—Total programme fee excluding GST as listed in Payment and Fees table; GST as per prevailing rates applicable.
Instalment I₹1,41,500Within one week of offer roll-out*GST as per prevailing rate will be applicable.
Instalment II₹1,40,0006th March, 2027*GST as per prevailing rate will be applicable.
Instalment III₹1,40,0006th May, 2027*GST as per prevailing rate will be applicable.
Instalment IV₹1,40,0006th July, 2027*GST as per prevailing rate will be applicable.

Fee notes

Taxes & collection

  • Course fee shown is exclusive of GST; GST at prevailing rates will be applicable and must be borne by participants.

  • All fees are collected by Times Edutech and Events Limited (TEEL).

Application / Processing fee & refund

  • Processing / Application Fee: ₹5,000 (listed as Processing Fee / Application Fee in Payment section).

  • If a participant’s profile is rejected by IIM Calcutta, the Application Fee of ₹5,000 will be refunded subject to a deduction of ₹2,500 towards administrative charges.

Changes & additional charges

  • Any extra payment due to a change in applicable taxes during the programme tenure will have to be borne by the participants.

Instalment convenience fees & totals

  • Instalment payment options may include convenience fees (as indicated in instalment schedules); instalment totals shown in different schedules include such fees and may vary (example totals: ₹5,80,920 and ₹5,92,200 appear in alternate schedules). Refer to the official fee schedule on offer for the exact instalment plan and total payable amount including convenience fees and GST.

Frequently Asked Questions

Common queries about the program, admissions, curriculum, and policies.

The IIM Calcutta business analytics course spans 12 months, offering a blend of online learning and two on-campus immersion modules. The programme is designed for working professionals, providing flexibility while covering critical aspects of business analytics and data-driven decision-making.

The IIM Calcutta business analytics fees for the Executive Programme in Business Analytics are ₹5,66,500 + GST. This fee includes access to all online modules, live sessions, case studies, and campus immersion. Payment can be made in full or in instalments.

Candidates must have a minimum of 50% in their graduation/post-graduation and at least three years of full-time work experience. A familiarity with high-school level mathematics is required to understand the business analytics concepts in this IIM business analytics course.

Yes, the business analytics program IIM Calcutta is ideal for professionals seeking to transition into business analyst roles. The IIM business analyst course covers core analytics concepts, making it perfect for those looking to develop skills and advance their careers in business analytics.

The IIM Calcutta Advanced Programme in Business Analytics covers modules like Data Mining, Predictive Modeling, Machine Learning, Financial Analytics, and Marketing Analytics. These modules are designed to equip you with advanced skills to solve complex business problems using data-driven approaches.

Yes, the business analytics course in IIM Calcutta includes two on-campus immersion modules. These modules, lasting six days, offer hands-on learning experiences, networking with peers, and interaction with faculty. They are subject to prevailing conditions like the pandemic.

Yes, the IIM business analytics course online is designed for professionals. The programme follows a blended learning approach, combining flexible online modules with on-campus immersion sessions. This structure ensures that you can continue working while pursuing the Executive Programme in Business Analytics.

The IIM Calcutta business analytics course equips you with advanced analytics tools and methodologies, making you proficient in data-driven decision-making. This expertise is highly valued across industries, helping you advance to senior roles like business analyst or data scientist.

After completing the business analytics program IIM Calcutta, you can pursue roles like business analyst, data scientist, or analytics manager. The programme helps you develop skills in data analysis, predictive modeling, and decision-making, which are in high demand across various industries.

Yes, the IIM business analytics course is designed for professionals from various backgrounds, including those without a technical background. The programme emphasizes business problem-solving and applies analytics techniques in business contexts, making it accessible to all professionals, even non-tech individuals.

Certificate Details

IIM Calcutta will award a “Certificate of Successful Completion” to participants who successfully complete the programme; course-wise grades will be mentioned on this certificate. Participants with requisite attendance but more than two “Poor” grades will receive a “Certificate of Participation” (grades not mentioned). Failure to meet exam/attendance requirements will result in an incomplete status and no certificate.

Sample Certificate

Indian Institute of Management Calcutta Certificate

IIM Calcutta Advanced Programme in Business Analytics - Indian Institute of Management Calcutta sample certificate
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