Mode and time commitment
- Mode
- Live Online & Campus Immersion
- Duration
- 12 Months
Offered by Indian Institute of Management Calcutta
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.
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.
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
Core capabilities, strategic skills, and managerial frameworks you will acquire.
Essential delivery mode, timeline, and candidate eligibility at a glance.
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
- Tools: Excel, Python
Dashboard Design
Data Storytelling for Executives
- Probability, Distributions, Estimation: Hypothesis Testing
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: Experimental Designs
Solve a Real Business Problem using Analytics
Industry Dataset-based Project
Format, class schedules, campus immersion details, and evaluation criteria.
Sunday · 9:00 AM – 12:00 PM · Weekly · as listed in ClassTimings
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.
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.
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 criteria, work experience requirements, and admission steps.
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.
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.
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.
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.
Key application deadlines, batch commencement dates, and intake schedules.
| Application Deadline | 1 November 2026 |
|---|---|
| Program Start Date | 31 January 2027 |
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.
Tuition fees, flexible installment schedules, and available financing options.
| Fee or instalment | Amount | Due date / terms | Notes |
|---|---|---|---|
| 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 | ₹1,41,500 | Within one week of offer roll-out | *GST as per prevailing rate will be applicable. |
| Instalment II | ₹1,40,000 | 6th March, 2027 | *GST as per prevailing rate will be applicable. |
| Instalment III | ₹1,40,000 | 6th May, 2027 | *GST as per prevailing rate will be applicable. |
| Instalment IV | ₹1,40,000 | 6th July, 2027 | *GST as per prevailing rate will be applicable. |
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).
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.
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.