Program Description

Introduction: Data science techniques and associated methods in Artificial intelligence and Machine learning have now at the forefront of revolution in various traditional fields. Consequently, increasing number of professionals in the field of scientific computing, software engineering and development, Business are looking to increase their understanding of the fundamental techniques and ideas driving this field. The current program aims to empower professionals to move to the forefront of this revolution. 


  1. Provide a thorough introduction to the various methods in the field of data analytics, Machine Learning & Artificial Intelligence and its mathematical foundations
  2. Provide contextual understanding using case studies from various business verticals 
  3. Self-study by applications of the various techniques to real life data from various business verticals

Key Highlights

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Basic proficiency in Python, R and mySQL

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Basic proficiency in Machine Learning frameworks such as  Pytorch and TensorFlow

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Ability to formulate and program models for computer vision tasks

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Ability to formulate and program models for natural language processing (NLP) tasks

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Ability to implement business applications such as recommender systems, customer segmentation

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Ability to formulate and program predictive models using advanced time series techniques

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Developing the ability to understand emerging paradigms in advanced data analytics

Course enrollment data

Learning Format



10 months

Certified by

CODE & Pravartak-IITM

Program Fee

₹236000 (inclusive of tax)


Program Description

Program Brochure

Sample Certificate

Education Qualification

  •           Qualification: Graduate / 4-year Engineering Degree /  B.Sc+M.Sc from a recognized university (UGC/AICTE/DEC/AIU/State Government/recognized international universities)

  • Minimum Experience :  3 years preferably in software engineering and /or other disciplines involved in computational work

  •  Industry Targeting (Preference):  IT,Software, Engineering Research  business analytics, Finance etc

Teaching Hours

120 hrs

Lead Faculty

Prof. Ganapathy Krishnamurthi is faculty in the Department of Engineering Design and associate faculty at the Robert Bosch Center for Data Science and Artificial Intelligence at IIT Madras. Prof. Balaji Srinivasan is faculty in the Department of Mechanical Engineering and an associate faculty at the Robert Bosch Center for Data Science and Artificial Intelligence at IIT Madras, pursuing research in the areas of fundamental Machine Learning and Deep Learning with focus on applications to science and engineering disciplines.

Course Offered By

Learning Schedule

a) Overview of Course
b) Introduction to Data Science
i) Definition
ii) Application areas
iii) Past, Present and Future
c) The role of computation in Data science
d) The role of mathematics in Data science


a) Python
b) R
c) SQL


a) Probability and Statistics
b) Linear Algebra
c) Calculus and Optimization


a) Introduction to Machine Learning
b) Supervised Learning
c) Unsupervised Learning
d) Deep Learning


a) Business Intelligence
b) Business Analytics
c) Sectorial Analytics (Marketing/ Finance/ Operations/ Supply Chain/ HRM)
d) Computer Vision
e) Language Modeling
f) Applications in Engineering
g) Healthcare
h) Decision Making
i) Project ( In candidates own time - 30 hours)


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