Advanced Program in Data Sciences

One year blended learning Advanced Program in Data Sciences(APDS) from the Indian Institute of Management Calcutta with 275 hours of live online classes and 3 campus visits spanning 10 days at the beautiful IIMC campus.

  • Accelerate your career with specialization in Data Science
  • Acquire strong foundation in advanced quantitative and statistical tools
  • Learn data science concepts like Machine Learning,Optimization,Visualization,Distributed Processing using Hadoop and MapReduce etc.
  • Receive alumni status from IIMC on successful course completion
  • Learn on weekends and evenings without interrupting your work schedule

Online Instructor-Led

batch loading...

Course Features

About Advanced Program in Data Sciences

Data science is the study of extracting knowledge or insights from data in various forms. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, operations research, information science, and computer science. Demand for trained data scientists has witnessed a massive growth in recent years. Data analysis is not only essential but crucial for meeting the challenges of making most efficient strategic decisions. Data science concepts apply across various domains such as the government sector, agricultural sector, atmospheric sciences, infrastructure management, financial markets, and ecommerce.

The aim of this course is to introduce learners to the different tools and techniques used for handling, managing, analyzing, and interpreting data. This course offers a hands-on learning experience with introduction to specialized software such as XL-Miner, Tableau, SPSS, R, @Risk, Arena, Apache Spark, etc. This course is designed for working professionals who want to advance their career in data manipulation.

The advanced program in data sciences will enable the learners to acquire a strong foundation in manipulation of data to succeed in leading organizations.

Course Objectives
  • Acquire a strong foundation in Statistics for Data Science
  • Learn the insights of Database Management and Data Warehousing
  • Get familiar with the latest tools such as XL-Miner, Tableau, SPSS, R, @Risk, Arena, Apache Spark, etc.
  • Build Complex Events and Stream Analysis using Big Data Analytics
Statistics for Data Science
  • Probability Theory
  • Statistical Inference
  • Sampling Theory
  • Hypothesis Testing
  • Regression Analysis
Mathematical Methods for Data Science
  • Calculus
  • Linear Algebra
  • Decision Theory
Data Representation and Visualization
  • Exploring Data
  • Finding Relationships among Variables
  • Graphing Data
    • Bar, Pie and Fever Charts
    • Heat Maps
  • Correlation and Covariance
  • Pivot Tables
Econometric Methods
  • Time Series Analysis
  • Generalized Autoregressive Conditional Heteroscedasticity(GARCH) Models
  • Fixed Effects Estimation
  • Random Effects Estimation
Categorical Data Analysis
  • Types of Categorical Data
  • Generalized Linear Models
  • Contingency Tables
  • Simple and Multinomial Logistic Regression Models
  • Linear Programming
  • Integer Programming
  • Multi-criteria Optimization
    • Goal Programming
    • Analytic Hierarchy Process (AHP)
  • Data Envelopment Analysis (DEA)
Stochastic Processes and Simulation
  • Random Variables and Distributions
  • Monte Carlo Simulation
  • Discrete Event Simulation
  • Variance Reduction Techniques
Database Management and Data Warehousing
  • Relational Database Management: Schemas and Relations
  • Entity Relationship Diagrams
  • Structured Query Language
  • Data Warehousing Concepts, Data Marts and ETL
Machine Learning
  • Supervised and Unsupervised Learning
  • Kernel Based Methods
  • Text Mining Techniques
  • Performance Evaluation
Decision Support Systems and Actionable Intelligence
  • ERP Systems
  • SCM and CRM Systems
  • CRISP-DM Model
  • Insights to actions in an Omni Channel Environment
Big Data Storage and Analysis
  • Structured, Semi-structured and Unstructured data
  • In-memory Storage and NoSQL
  • Distributed Processing: Hadoop and MapReduce
  • Complex Events and Stream Analysis

As part of the course, learners will be required to form small teams, and undertake projects of their choice in the areas of marketing, finance, and operations to be guided by IIMC instructors.


The course will be taught by various eminent faculty from IIM Calcutta. The IIM Calcutta faculty profiles can be found at

Professor Indranil Bose and Professor Preetam Basu will be the course coordinators for APDS.

Prof Indranil Bose

Prof. Indranil Bose is a Professor of Management Information Systems at the Indian Institute of Management Calcutta. He was the founding Chairperson of the Postgraduate Diploma in Business Analytics offered by IIMC, IITKGP and ISL. His degrees include B. Tech (Hons.) from the Indian Institute of Technology, Kharagpur, MS from the University of Iowa and MS and PhD from Purdue University.

Prof. Preetam Basu

Prof. Preetam Basu is a Assistant Professor of Operations at IIM Calcutta. He has a PhD in from the University of Connecticut and an MS in mathematics from the University of Minnesota. He consults in the areas of supply chain management, revenue management and services operations.


On successful completion of the course, the learner will receive a certificate of completion from IIMC. The candidates will also be awarded an executive education alumni status by IIMC.

Exams will be held by IIM Calcutta at the end of each module. All exams will be assessed on four grades – Excellent, Good, Average and Poor. IIM Calcutta will award a certificate of successful completion to participants who complete the programme successfully. Successful completion of the programme will require a participant to

  • Attend at least 66% in each of the courses.
  • Obtain no more than two “Poor” grades in the whole programme.

Participants with requisite attendance but with more than two “Poor” grades will receive a certificate of participation.

Failure to take an examination will result in the participant getting an “incomplete” status and no certificate will be awarded to the participant. Also, a participant without requisite attendance (of at least 66%) in every course will not be awarded any certificate.

Attendance in all campus visits is mandatory.


The pre-requisites for the program are:

  • The applicant should be a Graduate (10+2+3 or equivalent) or a Post-graduate in any discipline with a minimum of 50% marks (aggregate).
  • The applicant should have a work experience of at least 3 years.
  • The applicant should be working full-time at the time of application

Applicant selection will be based on:

  • Performance in the Pre-admission Test
  • Past Academic Performance
  • Work Experience

Why learn Data Science?

Data analysis is not only essential but indispensable for meeting the challenges of making most efficient strategic as well as tactical decisions. According to the report published by, India is poised to emerge as the Data Science capital of the world with global organizations like Mercedes-Benz, Target, Walmart, PayPal, AIG, Accenture etc. setting up their Data Science Centers of Excellence in India. There are at least 50,000 jobs in India in Data Science and Analytics from firms like Amazon, Citi, Goldman Sachs, Accenture, EY, KPMG, JP Morgan, Microsoft, Aditya Birla Group, Reliance etc. As Data Science becomes an integral part of decision making in organizations, demand for trained data scientists has witnessed a massive and is only going to increase further. And according to Economic Times, this massive demand coupled with a supply scarcity, has pushed the salaries of top talent in this space up to and beyond the Rs 3.5 crore mark. This is the right time to equip yourself with the right skills and make the jump into your dream career in data science.

What is the participant profile in this course?

The first batch of APDS had participants with a diverse range of experience from 3 to 20 years, with an average experience of 9 years. 40% of the batch also holds Post Graduation degrees.

The participants were from renowned organizations like JP Morgan Services India, HSBC, Bosch, E&Y, Morgan Stanley Advantage Services, Capgemini, PWC, Ericsson, Oracle, Philips, Nomura Services, IBM, Cognizant, Infosys, Wipro, MindTree etc. and many more.

They hold positions like Director, CTO, Vice President, Assistant Vice President, Deputy General Manager, Data Scientist, Principal Consultant, Consultant (Data Analytics and Modeling), Senior Business Analyst, Finance Manager, Supply Chain Analyst, Senior Database Administrator, Delivery Manager, Senior Technology Architect etc.

The campus modules and projects will gives you ample opportunity to interact and learn not only from the faculty but your peers.

What kind of projects do the participants work on in APDS?

As part of the course participants will be required to form small teams, and undertake data science projects of their choice in the areas of marketing, finance, and operations. They will be guided by IIMC professors in their project work.

Some of the project that the last batch of participants worked on include:

  • Analyzing investor behavior and predicting investment preferences
  • Instacart Customer Cart Analysis
  • Market Basket Analysis - Which products will the customer purchase again?"
  • Predicting Daily Price of Bitcoin
  • Human Resources Analytics - Why do even the best and most experienced employees leave companies prematurely?

Is there any entrance exam for the course?

All applicants need to undergo a Program Aptitude Test or PAT. PAT is a 90 minute mutiple-choice, online, proctored test. The test is scheduled on Sundays and applicants can choose a convenienet day and time at the time of application.

PAT measures aptitude of the participants through an assessment of their skills and abilities in functional areas as well as supporting personality traits that determine success in modern work environments.

The PAT covers the following four areas:

  • Verbal Ability & Communication Skills: 30 out of 100

The ability to interact with internal/external customers & peers, & to structure & communicate thoughts fluently.

  • Numerical Ability: 35 out of 100
  • The ability to use basic mathematical skills (at class X level) to solve numerical problems quickly.

    • Logical Reasoning & Creative Problem Solving: 20 out of 100
    • Logical Reasoning is the ability to analyse data and think through inferences clearly. Creative problem requires a combination of innovative thinking and logical reasoning keeping the end-objective in mind.

      • Supporting Personality Traits: 15 out of 100
      • Leadership, Resource Optimisation, Result Orientation and Teamwork – considered essential traits to succeed in modern work-situations.

What happens if I miss a session?

All the live sessions are recorded and available for later view. Learners can refer to recordings of a missed session at their convenience.

What is the course fee and what are the payment options?

Course Fee

The course fee is 3,39,000 (+18% taxes) or 6050. You can avail the installment payment option:

Date On Application During Registration May 2019 Jul 2019 Sept 2019
Amount INR 9000 126600 67800 67800 67800
Amount USD 165 2255 1210 1210 1210

The INR amounts are exclusive of taxes. GST of 18% will be charged on all INR transactions.

Application Fee

The Application Fee of 9,000 +18% taxes has to be paid at the time of application. In case the candidate is selected for the course, then this amount will be adjusted in the course fee. If the candidate is not selected by the institute, application fee will be partially refunded. INR 8,000 will be refunded and INR 1000 will be retained by NIIT towards application processing and administration charges.

The Application Fee will NOT be refunded in case of any of the following conditions:

  • The application is found to be incomplete or inaccurate at any stage of scrutiny.
  • The applicant is offered a seat for the course and does not join before the date mentioned in the offer letter.
  • It is the responsibility of the applicant to ensure that the application is complete in all respects. The selection offer letter is for a specific batch of a course. Neither the offer for admission nor the initial amount is transferable to any other course or batch.

Campus Visit Fee

A campus visit fee of INR 6,000 per day plus applicable taxes is payable directly to IIMC. This amount will be paid over 2 installments, before the start of each campus visit.

What is your refund policy?

Upon registering for the course, if for some reason you are unable or unwilling to participate in the course further, you can apply for a refund. You can initiate the refund any time before start of the course by sending an email to, with your enrollment details and bank account details (where you want the amount to be transferred). Once you initiate a refund request, you will receive the amount within 21 days after confirmation and verification by our team. This is provided if you have not downloaded any course ware after registration.

Please Note: will conduct an orientation prior to the first session by IIMC. This orientation is considered the official start of the program/batch.

The Application Fee will NOT be refunded in case of any of the following conditions:

  • The application is found to be incomplete or inaccurate at any stage of scrutiny.
  • The applicant is offered a seat for the course and does not join before the date mentioned in the offer letter.
  • It is the responsibility of the applicant to ensure that the application is complete in all respects. The selection offer letter is for a specific batch of a course. Neither the offer for admission nor the initial amount is transferable to any other course or batch.

What are the minimum system requirements to attend the course?

    Minimum system requirements for accessing the courses are:

  • Personal computer or Laptop with web camera
  • Headphone with Noise Clarity Microphone
  • Broadband connection with minimum bandwidth of 4 mbps.
  • Its recommended to use System Health Check to examine the OS details, Add in, Plugins, Camera, Mic and other external devices.

Do you provide placements?

Our courses are not placement linked. But we have tied up with the premier job portal site their ‘Career Enhancement Services’. On successful completion of the course, all participants will receive this complimentary service which includes:

  • Improvement of Profile Rank: The ranking of your profile is improved by an average of 20% on The highest ranked candidates are visible at top to recruiters
  • Profile Highlighting: Profile highlighting leading to better chances of being noticed by the recruiters

Is there an official support desk for technical guidance during the training program?

Yes. For immediate technical support, you can reach out on 91-9717992809 or 0124-4917203 between 9:00 AM and 8:00 PM IST. You can write to for all other queries and our team will be happy to help you.

Can I refer a friend for the program? What benefit will I receive for the referral?

You can refer any of your friends, family, or colleagues for the course.

  • On registering for any course, you will receive a mail from us with your referral code. You can also access this code through the “Refer your friend” option in your learning dashboard.
  • You can share this code with everyone that you wish to refer to the course
  • If anyone registers using this referral code (referral code has to be used as a coupon code at the time of registration) then then will receive a Rs. 5000 scholarship on the course fee
  • You will then become eligible for a referral credit of Rs. 5000. This referral credit can be reimbursed in the form of Amazon vouchers.
  • Just send us a mail at and we will verify the referral and initiate the referral benefit
  • Two scholarships/coupon codes cannot be combined. Candidate can only avail one offer per program.

What are the benefits provided to the participants as Alumni of this program?

After successful completion of the program, the participants are deemed “Executive Education Alumni” of IIM Calcutta. As Executive Education Alumni of this program they will have access to IIM Calcutta’s exclusive alumni portal and all its features. The participants will be provided login credentials to the portal after successful program completion and declaration of results.

Course Features

batch loading...

Related Courses

AI and Deep Learning with TensorFlow
AWS Certification and Training Program
Active Directory® Services with Windows Server®
Administering Microsoft Exchange Server 2016
Administering Microsoft® SQL Server® 2014 Databases
Administering System Center Configuration Manager and Intune
Administering Windows Server® 2012
Administering the Web Server IIS Role of Windows Server
Administration Essentials for New Admins- Salesforce
Advanced Automated Administration with Windows PowerShell®
Advanced Data Mining projects with R
Advanced Pay Per Click
Advanced Social Media Marketing
Advanced Solutions of Microsoft Exchange Server 2013
Advanced Solutions of Microsoft® SharePoint® Server 2013
Analyzing Data with Power BI
Analyzing and Visualizing Data with Excel
Analyzing and Visualizing Data with Power BI
Android Game Development for Beginners
Angular 5
Application Development with Swift 2
Automated UI Testing in Java
Automating Administration with Windows PowerShell®
Big Data Analytics with R
Big Data Applications using Hadoop
Building Android Games with OpenGL ES
Building Applications with Ext JS
Building Applications with
Building a Data Mart with Pentaho Data Integration
Building iOS 10 Applications with Swift
Builiding web application with spring MVC
Business Analytics using R from KPMG
Business Analytics using R from KPMG – Advanced
Business Analytics using R from KPMG – Expert
Certified Digital Marketing Professional
Cloud and Datacenter Monitoring with System Center Operations Manager
Complete Web and Social Media Analytics
Configuring Advanced Windows Server® 2012 Services
Core Solutions of Microsoft® Exchange Server 2013
Core Solutions of Microsoft® SharePoint® Server 2013
Core Solutions of Skype for Business 2015
Data Quality 9.x: Developer, Level 1
Data Science Orientation
Data Science with R
Data Science with Spark
Deploying Windows Desktops and Enterprise Applications
Designing and Deploying Microsoft Exchange Server 2016
Designing and Implementing a Server Infrastructure
DevOps Certification Training
Developing Microsoft Azure Solutions
Developing Microsoft SharePoint® Server 2013
Developing Microsoft SharePoint® Server 2013 Core Solutions
Developing SQL Databases
Enabling and Managing Microsoft Office 365
Fundamentals of a Windows Server® Infrastructure
GNIIT Foundation
Getting Started with R for Data Science
Getting started with Apache Solr Search Server
IBM Cognos Connection and Workspace Advanced
IT Service Management with System Center Service Manager
Implementing Microsoft Azure Infrastructure Solutions
Implementing Microsoft Azure Solutions-70-533
Implementing a Data Warehouse with Microsoft® SQL Server® 2014
Informatica PowerCenter 9.x Level 1
Installing and Configuring Windows 10
Installing and Configuring Windows Server® 2012
Introducing Rails 5 Learning Web Development the Ruby Way
Introduction to ITIL
Introduction to SQL Databases
Introduction to Web Development with Microsoft Visual Studio 2010
Java Enterprise Apps with DevOps
Joomla Certification Training Program
Julia for Data Science
Learning Android N Application Development
Learning Data Mining with R
Learning Joomla 3 Extension Development
Learning MongoDB
Learning R for Data Visualization
Learning Spring Boot
Learning Swift 2
Linux shell scripting solution
Machine Learning with Python
Marketing Analytics Data Tools and Techniques
Mastering Magento
Open Source Web App Development using MEAN Stack
PMI® Agile Certified Practitioner Training
Pentaho Reporting
Performance Tuning and Optimizing SQL Databases
Planning and Deploying System Center 2012 Configuration Manager
Programming Using Python
Programming in C Sharp
Programming in HTML5 with JavaScript and CSS3
Programming with Python for Data Sciences.
Project Management Professional (PMP®) Training
Querying Data with Transact SQL
Querying Microsoft SQL Server® 2014
R Data Mining Projects
R for Data Science Solutions
Reactive Java 9
SAS Certification Training Program
Secrets of Viral Video Marketing
Selenium with Java
Six Sigma Certification Training Program
Spring Security
Supply Chain Management(SCM) Training Program
Supporting and Troubleshooting Windows 10
Teradata Certification Training
Test Driven Android
UNIX Shell Scripting Training
Upgrading Your Skills to MCSA Windows Server 2016
Upgrading Your Skills to MCSA Windows Server® 2012
Web Apps Development using Node.js along with Express.js and MongoDB
Web Apps Development with HTML5, CSS3, jQuery & Bootstrap
Web Development with Node.JS and MongoDB
iOS App Development Certification Training
jquery UI Development