RiseUpp Logo
RiseUpp Logo
IIM Calcutta Advanced Programme in Data Sciences
Educator Logo

IIM Calcutta Advanced Programme in Data Sciences

IIM Calcutta's Advanced Programme in Data Sciences (APDS) is a one-year live online course designed for working professionals who are either practising Data Scientists keen on broadening their horizons or executives/entrepreneurs who wish to get adept in the art of mining insights from data using the right tools and techniques.

4,80,000

Course Start Date: Starting Soon

Application Deadline: To be announced

Duration: 12 Months

Overview

Live lectures on video (attend from anywhere) + 10 days of on-campus learning

Why Data Science?

Tap into IIM Calcutta’s expertise in mathematics, statistical analysis, and analytics through a business-focused data science approach. The program emphasizes real-world learning by integrating business use cases, allowing participants to apply analytical concepts to practical scenarios. It also builds on the strong six-year legacy of this renowned programme, ensuring a rich blend of academic rigor and industry relevance.

What does this course have to offer?

Key Highlights

  • This programme is best suited for working professionals who must handle and interpret data or young managers who want to establish a rewarding data science career

  • Practising Data Scientists keen on broadening their horizons

  • Executives/entrepreneurs who wish to get adept in mining insights from data

Who is this programme for?

Ideal for working professionals, young managers, data scientists, and entrepreneurs seeking to enhance data analysis skills and make informed decisions.

Minimum Eligibility

Graduates or Diploma Holders with minimum 8 years of work experience

Not sure whether you qualify for this programme?

Admission Overview

IIM Calcutta’s APDS offers live sessions, campus immersions, and a data science-focused curriculum for professionals with 3+ years of experience.

Selection process

How to apply?

Curriculum

IIM Calcutta’s Advanced Programme in Data Sciences (APDS) is a one-year live online course specially designed for working professionals who are either practising Data Scientists keen on broadening their horizons or executives/entrepreneurs who wish to get adept in the art of mining insights from data using the right tools and techniques. The programme will introduce participants to the essential tools and techniques with which to handle, manage, analyze and interpret large data sets. The programme is also an opportunity to learn and work on business data in a hands-on fashion.

There are 13 semesters in this course

Study how to transform data into actionable insights using Artificial Intelligence (AI), Machine Learning (ML), data interpretation, and visualization. The program enables participants to acquire proficiency in software applications and tools such as Tableau, Python, R, SPSS Modeler, Oracle SQL, @Risk, Arena, Hadoop, and others. It offers an in-depth exploration of quantitative subjects including Econometrics, Stochastic Processes, and Simulation, while also helping learners master techniques in Data Analysis, Database Warehousing, Big Data Storage, and Analytics. Additionally, the curriculum delves into advanced topics such as Text Mining, the Internet of Things (IoT), Deep Learning, and Industry 4.0, preparing participants to navigate and lead in a data-driven business environment.

Understanding Data Science

Mathematics for Data Science

Statistics for Data Science

Data Management and Data warehousing

Machine Learning with Python

Data Interpretation, Visualization and Analysis: Use of R

Econometrics with R

Stochastic Process and Simulation

Categorical Data Analysis

Business Intelligence with Data Analytics

Big Data Storage and Analytics

Advanced Topics in Data Science

Project in Data Science

Programme Length

12 Months with 10 days of on-campus learning

Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Tuition Fee

₹4,80,000 + GST payable in easy instalments with loan options available

Fee Structure

Payment options

Need help understanding fees, EMI options, or scholarships?

Loading alumni...

About the University

Founded in 1961 as India's first national institution for post-graduate studies in management, IIM Calcutta was established in collaboration with MIT Sloan School of Management, Ford Foundation, and the Government of West Bengal. Known as the 'Finance Campus of India', it is the only Indian business school with triple accreditation (AACSB, AMBA, EQUIS).

University

464

Total enrollment

100+

Faculty size

49th

Global ranking

Affiliation & Recognition

AACSB Accredited
EQUIS (European Quality Improvement System)
AMBA (Association of MBAs)
CEMS Membership

464

Total enrollment

100+

Faculty size

49th

Global ranking

Affiliation & Recognition

AACSB Accredited
EQUIS (European Quality Improvement System)
AMBA (Association of MBAs)
CEMS Membership

Career services

Through its Career Development and Placement Office (CDPO), IIM Calcutta provides comprehensive career support across multiple channels. The institute maintains strong corporate relationships resulting in exceptional placement records. The effectiveness is demonstrated through consistent 100% placement rates and significant salary packages across various sectors including consulting, finance, and technology

100%

Placement rate

32.68 LPA

Average CTC

32.27 LPA

Median CTC

52.00 LPA

Maximum CTC

Degree Course Image

4,80,000

Course Start Date: Starting Soon

Application Deadline: To be announced

Duration: 12 Months

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.