Frequently Asked Questions

About Data Science and Machine Intelligence

It is well known that Data Science helps businesses extract actionable insights from massive sets of data. Data Science and the technologies empowering it, like AI and Machine Learning, have become central to every business strategy today.

However, Applied Data Science takes the game many notches higher. It broadens the scope of data science to include

  • Finding new applications where data science can be applied and
  • Create predictions that are more accurate in their trends and seasonality

Applied Data Science becomes important in the backdrop of the fact that the global data created per day is likely to reach 463 Billion GB/Per Day by 2025 from 44 Billion GB/Per Day in 2016 according to IDC. Such massive data cannot be made sense of by traditional algorithms.

This is where Machine Intelligence (MI) can add immense value to business in conjunction with Applied Data Science.

Machine Intelligence as a higher evolution of machine learning - a stepping stone to true AI.

According to LinkedIn, Applied Data Science and Machine Learning offers exciting job opportunities for professionals with expertise in these fields.

  • Data Scientist (7000+ openings)
  • Data Science Manager (2000+ openings)
  • Machine Learning Engineer (24,000+ openings)
  • Data Engineer (29,000+ openings)
  • AI/ML Developer (4000+ openings)
  • AI Programmer (8000+ openings)
  • Junior Data Scientist (1000+ openings)
  • Junior Data Science Engineer (1000+ openings)
  • Data Analyst (10,000+ openings)
  • Applied AI/ML Analyst (600+ openings)
  • Backend AI Engineer (980+ openings)
The IITM Advantage
  • Designed by Robert Bosch Centre for Data Science and AI (RBCDSAI)
  • Taught by top researchers in Applied Data Science and Machine Learning
  • Certification from IIT Madras, India’s #1 ranked Institution
Cutting-edge Applied Learning
  • Hands-on curriculum with use cases, capstones for effective learning
  • Visit the IITM campus* and practise at India’s top Applied Research Lab
The TalentSprint Advantage
  • Learn on TalentSprint’s patent-pending Digital Platform
  • Network with 3000+ TalentSprint Deep Tech Alumni
  • Get Dedicated Support for Enhanced Career Outcomes

The programme will be delivered in an interactive online format, retaining effectiveness while maintaining safety. The format uniquely combines the benefits of an in-class programme with the flexibility and safety of online learning.

Benefits of In-Class Delivery
  • Synchronous programme delivery by expert faculty
  • Interact and get your doubts answered by faculty
  • Peer learning through working in groups with other participants
  • Get support from mentors for labs and experiments
Flexibility and additional value of online
  • Re-attend classes through recorded archives
  • Access videos easily with searchable and indexed video archives
  • Learn from the comfort and safety of your home
  • Office hours with one-on-one mentor support

The programme will be delivered on TalentSprint's patent-pending, a leading digital learning platform of choice used for programs delivered by the likes of Google, IIM Calcutta, IIT Hyderabad, IISc, and IIT Kanpur, to name a few.

The programme is best suited for professionals keen to build a career in two of the most in-demand domains of Data Science and Machine Intelligence.

The 12-month programme will be taught by a group of IIT Madras faculty members bearing academic accreditation from top institutions around the world.
Meet the faculty here

Yes, this is a hands-on programme. The sessions are accompanied by practical industry-oriented exercises to help assimilate theory into practice. Online lab assignments will help you master the concepts with the help of mentors. Physical labs sessions may be opened during the campus visit once it is safe for participants and faculty.

  • LIVE interactive online classes by top professors help in getting clarity on the subject matter.
  • Weekly assignments and mini-projects evaluated by mentors help you get deeper insights into the concepts.
  • LIVE classes enable high-quality peer-learning, mentored group labs, and hackathons, all on the digital platform.
  • The programme equips you with both academic and practical knowledge to help navigate the fast-evolving world of Data Science and Machine Intelligence.
  • You will also earn an Executive Programme Certificate from IIT Madras.
  • You get to leverage our Dedicated Career Support* and explore premium career opportunities
  • Network and associate with current and future Data Science and Machine Intelligence practitioners.

*This is applicable for participants having upto 5 years of work experience only. Any such participant who completes the programme successfully and meets other relevant criterias will be eligible for the Dedicated Career Support.

As an Institution of National Importance, IIT Madras enjoys autonomous status under the MHRD, and operates outside the purview of UGC/AICTE guidelines.This program is a fully approved certificate program offered through the IIT CODE (Center for Outreach and Digital Education).

Learning Format

Our digital platform enables participants to

  • Attend all lecture classes online from any location on any device (computer, tablet, or smartphone)
  • Interact with faculty, through audio and chat, during the online session
  • Interact with peers, through chat during the online session

Tour digital platform supports mentored online labs for necessary hands-on learning.

  • All practical labs are available online on the platform
  • You will have the option to interact with a mentor during the lab sessions
  • You will also be able to set up a one-on-one mentoring session during weekdays
  • You can also work with your peer group on the platform for group projects

Yes, all our online sessions enable audio and chat interaction. Participants can interact and ask questions. The chat window is common to all participants and faculty and allows interaction among participants.

The classes will have enough interaction to get your doubts cleared. You will also have additional options:

  • A discussion forum is open in every course, where you can post your queries to be answered by peers in the class as well as mentors.
  • Review session scheduled periodically where you can ask the faculty and get your doubts clarified.
  • One-on-one sessions with mentors can be scheduled during the programme.

However, you will need a computer with the necessary configuration to do the online lab sessions.

Yes, programme mentors will be available to provide you with the required assistance during your online lab exercises schedule.

Participants can interact with their group members for the projects conveniently using Zoom or Skype calls. TalentSprint's platform will also have the provision of group-specific discussion forums for asynchronous discussion among the group members.

Our recorded videos have an AI-generated Table of Content (TOC) to help with easy and smart navigation within the videos. Participants can click on the items under TOC to directly jump to the relevant section in a video.

Video archives also have a Phrase Cloud of keywords/phrases used in the video. Participants can click on a particular keyword/phrase to find yellow markers, indicating the points where the selected keyword/phrase was covered on the video timeline.

Selection Process

Candidates will be selected based on the details of education, work experience, and a statement of purpose submitted by them along with the application. The profiles will be sent to IIT Madras for selection.

Programme Fee

A participant not holding an Indian Passport or currently not residing in India will be considered an International Participant.

Yes. Flexible EMI options can be availed to pay the programme fee in instalments.

The programme fee is ₹2,50,000 + GST. Scholarships are available.For more details, visit fee table

No, the application fee is non-refundable.

No. The programme fee is non-refundable and non-transferable under any circumstances.

Building deep-tech expertise is an absolute necessity for professionals in this fast-changing world that is constantly disrupted by technology.
Professionals have multiple options for funding.

  • Sponsored by employer
  • Self-funded: Based on our experience of enabling 3000+ professionals who have participated in our executive programs, self-funding is the most preferred option with over 80% choosing this. Three key reasons why professionals opt for it:
    • Freedom: To opt for a program of their choice, at a time of their choice, with an institution of their choice and not be restrained by the organization’s policy.
    • Flexibility: To pursue greater career opportunities well even beyond their current employer or to nurture their entrepreneurial ambitions.
    • Funding: Access to flexible EMI schemes (paying as low as Rs. 6700 per lac per month).

We have also observed that the commitment levels were higher among self-funding participants.

Programme Content

Module 1: Foundations of Data Science

Linear Algebra for Data Science

  • Linear equations and solutions Matrices and their Properties; Eigenvalues and eigenvectors; Matrix Factorizations; Inner products; Distance measures; Projections; Notion of hyperplanes; halfplanes.

Probability and Statistics for Data Science

  • Probability theory and axioms; Random variables; Probability distributions and density functions ;Expectations and moments; Covariance and correlation; Statistics and sampling distributions; Hypothesis testing of means, proportions, variances and correlations; Confidence intervals; Correlation functions; Parameter estimation – MLE and Bayesian methods

Optimization for Data Science

  • Unconstrained optimization; Necessary and Sufficiency conditions for optima; Gradient descent methods; constrained optimization, KKTConditions; Introduction to least squares optimization;

Module 2: Machine Learning: Foundations and Algorithms

Bayesian decision theory, K-Nearest Neighbors

Linear Regression, Ridge, LASSO

Linear Classification (Logistic Regression, Linear Discriminant Analysis)

Recap K-NN; Bias Variance tradeoff, cross-validation/ model selection

Evaluation methods (ROC, AUC, F-measure, etc.)

Naive Bayes, Decision tree

Ensemble Methods: Bagging, Random Forest, Gradient

Perceptron, Intro to Support Vector Machines

Clustering motivation, K-means/Hierarchical, GMM

Dimensionality reduction, Association Rule mining

Module 3: Machine Learning: Real-world use-cases in sectors and associated challenges

Industry Use case – Health care with NLP

  • Use cases from the healthcare domain where NLP is applied
    • a. Automatic case-correction of all-caps or all-small text from EMRs.
    • b. Automatic token splitting of conjoined words and sentences.
    • c. NER on EHRs
    • d. Table detection and extraction of EOBs and EHRs.
    • e. Computer-assisted medical coding of EHRs.
  • Models such as Bi-LSTM-CRF, CAML, HAN, ResNexT.
  • Public domain datasets - MIMIC-III.

Use cases in Systems Biology & Health care

  • Introduction to big data in biology
  • Levels of omics data, basic information flow in biology
  • Importance of Networks in Biology: Overview
  • Introduction to Network Science
  • Learning from Network structure: Predicting essential genes
  • Learning on Networks: Community detection to identify disease genes - Learning using Networks: Graph mining for predicting biosynthesis routes - Omic data analysis: Predicting mutations and genes that drive cancer

Use case

  • Problem Statement : Four case studies will be demonstrated. CS1: Choice of mode CS2: Travel time estimation CS3: Accident hot spot analysis CS4: Accident severity modelling
  • Model(s) intended to demonstrate : Logistics regression, Support vector regression, k-means clustering and random forest
  • Dataset to be used during the demo
  • Dataset for the mini project

Use cases in Systems Biology & Health care Introduction to big data in biology

  • Levels of omics data, basic information flow in biology
  • Genomics, Transcriptomics, Epigenomics, Proteomics and Multi omics - Identification human disease genes using genomics
  • Application of transcriptomics for identifying disease mechanisms
  • Clinical data - kinds of clinical data Garbhini dataset - a clinical data case study

Module 4: Deep Learning: Foundation & Algorithms

Artificial Neural Networks

  • Artificial Neuron
  • Multilayer Perceptron
  • Universal Approximation Theorem
  • Backpropagation in MLPs
  • Backprop on general graphs

Optimization in Neural Networks

  • Gradient Descent and its variants
  • Momentum, Adam, etc.
  • Batch Normalization

Basics of Hyper parameter optimization

CNN - Part 1 and Part 2

  • Introduction
  • CNN Operations
  • CNN Training
  • Illustrative Example (“Hello World”) - MNIST digit classification e. Image Recognition-SoTA model(s)
  • Object detection/localization - SoTA model(s)
  • Semantic segmentation -SoTA model(s)


Explainable Modes of DNN

Module 5: Deep Learning: Real-world use-cases in sectors and associated challenges

DL Use Cases

  • Smart Cities
  • Industry Use case 1
  • Climate Science
  • Manufacturing
  • Bio-informatics
  • Industry Use case 2

Batch 6 starts in April 2024. For more information, contact us at

Online sessions will be held twice a week as given below:

  • Saturday 9 am TO 1 pm
  • Sunday 9 am TO 1 pm and 2 pm TO 5 pm

The programme will be delivered through faculty-led interactive live sessions on TalentSprint’s These online sessions will be held at a schedule convenient for working professionals. Participants will be able to interact with the faculty through video, audio, and chat. They will also be able to chat with fellow participants of the programme during online sessions.

Reading material (pre/post session) will be shared regularly through the Online Learning Management System.

Curriculum and Evaluation

It is a 12-month programme including use cases, capstones, mentored labs and one IIT Madras campus visit.

A certificate of successful completion is provided upon completion of all requirements of the programme. All examinations and evaluations related to the certification are carried out by IIT Madras.

All sessions will be conducted by the IIT Madras faculty. Industry experts may be invited for sharing their valuable experience.

Dedicated Career Support

This is applicable for participants having upto 5 years of work experience only. Any such participant who completes the programme successfully and meets other relevant criterias will be eligible for the Dedicated Career Support.

Program Schedule

You will get dedicated support for Enhanced Career Outcomes.

  • Build a Strong Digital Profile Showcasing your Expertise Kaggle logo
  • Get Mentor Support on Career Development
  • Attend Mock Interviews and get ready to succeed
  • Network with 3000+ Peers and other DeepTech Professionals
  • Access Premium Career Opportunities

About the Platform

Do not worry. In case you miss a session, you will be given access to view the recorded version of the session soon.

Attendance will be recorded regularly during this programme. Participants need to maintain minimum attendance criteria in each course of the programme.

  • An internet-connected device, Computer/Laptop/Tablet/Smartphone, is enough to access the platform.
  • Web-camera and Mic with necessary power backup will be needed for proctored online assessments.

All participants are required to execute, before the start of the programme, an agreement that consists of the standard programme Terms and Conditions. It has the following components:

  • Part A: Etiquette and Platform Rights
    • Classroom Etiquette & General Policy Guidelines
    • Tools and Platforms in Use
    • Tools and Platforms: Terms of Use
  • Part B: Honor Code
  • Part C: Certification
  • Part D: Programme Fee, Refund, and Termination Policy


  • India’s #1 Engineering Institution - NIRF (2020)
  • QS World University Ranking (Asia) #60 (2020)
  • Ranked #1 by Atal Rankings of Institutions on Innovation Achievements, GoI (2019)
  • Hosts Robert Bosch Centre for Data Science and AI

Indian Institute of Technology Madras or IIT Madras is recognized both nationally and internationally for excellence in technical education, basic and applied research, innovation, entrepreneurship and industrial consultancy. Founded in 1959 with technical and financial assistance from the former government of West Germany. The institution has been the top-ranked engineering institute in India for four consecutive years as well as the ‘Best Educational Institution’ in Overall Category in the NIRF Rankings of 2019 put out by the Ministry of Human Resource Development. Today, the alumni of IIT Madras hold significant academic and industry positions around the globe. Most recently, the Institute was given the title of Institute of Eminence. For more information visit

The programme will be delivered by The Robert Bosch Centre for Data Science and AI (RBCDSAI), one of India's pre-eminent interdisciplinary research centres for Data Science and AI with the largest network analytics, deep reinforcement learning, and the most active natural language processing and deep learning groups. For more information visit