Post Graduate level Advanced Certification Course in Applied Data Science and
Machine Learning

By IIT Madras, #1 IIT in India

IIT Madras data science and machine learning course is a comprehensive program designed to equip learners with in-demand skills and expertise in the field.

  • Talentsprint

Apply Now

IITM
  • #1IIT in India,
    NIRF Rankings
  • 12 Months
    PG Level program
  • 2Days at
    IITM Campus
  • 250+ HoursLive Interactive Classes & Hands-On Practices

3 Reasons Why This Programme is Unique

1 The IIT Madras Advantage

  • Designed by RBCDSAI at IIT Madras, India’s #1 NIRF ranked institution
  • Taught by top researchers in Applied Data Science and Machine Intelligence
  • Certification from the CODE (Center for Outreach and Digital Education) at IIT Madras

2Cutting-edge Applied Learning

  • Hands-on curriculum with use cases, capstones for effective learning
  • Visit IITM Campus** and practise at RBCDSAI, India's top Applied Research Lab
  • Industry interaction with experienced professionals

3 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

  • Data Science will create 11.5 Million
    job openings by 2026.
  • AI early career professionals
    command up to ₹20 LPA.

Top Data Science Career Opportunities

  • 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)
  • and more..

About IIT Madras

Indian Institute of Technology Madras (IIT Madras) is globally recognized 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, IIT Madras 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 by the Ministry of Human Resource Development. For more information visit www.iitm.ac.in

The PG Level Advanced Certification Programme in Applied Data Science and Machine Learning course 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. The Centre was started to expand AI adoption in engineering applications and leverage the available expertise on network systems modelling across various Institute departments. The programme Certification will be awarded by the CODE (Center for Outreach and Digital Education) , IIT Madras that is committed to helping build national capabilities in science, technology, humanities, management, education and research.

  • #50 World University Ranking (Asia)
  • #1 India’s Institution (2023)
  • #1 Atal Rankings of Institutions on Innovation Achievements, GoI

Data Science and Machine Learning
Course Overview

The 12-month online PG Level Advanced Certification Programme in Applied Data Science and Machine Learning, offered in partnership with the Robert Bosch Centre for Data Science and AI (RBCDSAI) at IIT Madras, is a cutting-edge course designed to enable learners to build deep tech capabilities and make data-driven business decisions. With the massive amount of data generated daily from millions of devices, Applied Data Science has become a crucial field in today's world. The program offers a unique learning experience that combines masterclass lectures, hands-on labs, hackathons, workshops, industry interactions, and a campus visit to fast-track learning.

The Data Science course covers various topics such as data preprocessing, machine learning algorithms, deep learning models, and natural language processing, among others, to prepare learners to handle complex data sets and provide data-driven solutions. The curriculum is designed to meet industry standards and includes real-world case studies, ensuring learners have hands-on experience working with industry-relevant tools and technologies. The course also enables learners to acquire soft skills such as communication, teamwork, and leadership, which are essential for success in the workplace.

Participants of the course benefit from the expertise of leading faculty members and industry experts, who provide personalized guidance and mentorship throughout the course. Upon completion of the course, learners receive a PG Level Advanced Certification in Applied Data Science and Machine Learning from IIT Madras, which enhances their career prospects and enables them to become sought-after professionals in the data science and machine learning field.

IITM Campus Visit

Data Science and Machine Learning Course Curriculum

  • M0: Bridge Module

  • M1: Foundations of Data Science

    • Linear Algebra for Data Science
    • Optimization for Data Science
    • Probability and Statistics for Data Science
  • M2: 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 Boosting.
    • Perceptron, Intro to Support Vector Machines
    • SVM (soft margin/hard margin), Kernels (also Kernel Regression)
    • Clustering motivation, K-means/Hierarchical, GMM
    • Cluster validation, PCA, Dimensionality reduction
    • Association Rule Mining
  • M3: Machine Learning: Real-world use-cases in sectors and associated challenges

    • Use case: Finance
    • Use cases in Systems Biology & Health care
    • Introduction to big data in biology
    • Use Cases - Problem Statement, Model(s) intended to demonstrate, Dataset to be used during the demo, Dataset for the mini project,
    • Industry Use case – Health care with NLP
    • Industry Use case on HR Analytics, Employee performance prediction
    • M L–Use case (Software Engineering)
  • M4: Deep Learning: Foundation & Algorithms

    • Artificial Neural Networks
    • Optimization in Neural Networks
    • Basics of Hyper parameter optimization
    • Sigmoid Neurons, Gradient Descent, Feedforward Neural Networks, Representation Power of Feedforward Neural Networks, Gradient Descent (GD), Momentum Based GD, Nesterov Accelerated GD, Stochastic GD, AdaGrad, RMSProp
    • Adam
    • CNN - Part 1 and Part 2
    • GAN

Apply Now

Download Brochure

Capstone Projects

  • Recommendation Systems
  • Object Recognition System
  • Digit Recognition System
  • Financial Fraud Detection System
  • Anomaly Detection in Manufacturing Systems
  • Urban Infrastructure Analytics
  • Healthcare Analytics
  • And more

Tools covered

Faculty

The programme is designed by a distinguished faculty group bearing academic accreditation from premier institutions around the world.

Dr. Arun Rajkumar

Ph.D., Computer Science and Automation, IISc


Machine Learning, Rank Aggregation, Statistical Learning, Sequential Decision Making

Know More

Dr. Balaraman Ravindran

Ph.D., Computer Science, University of Massachusetts, Amherst, USA


Reinforcement Learning, Geometric Deep Learning, Data Mining

Know More

Dr. Nandan Sudarsanam

Ph.D., Engineering Systems, MIT, Cambridge, MA, USA


Experimentation, Applied Statistics and Machine Learning

Know More

Dr. Nirav P. Bhatt

Ph.D., Computer, Communication and Information Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland


Machine Learning for Biological and Engineering Networks, Safe Reinforcement Learning

Know More

Dr. Karthik Raman

Ph. D., Systems Biology, IISc


Biological Networks, Computational Systems Biology, Genomics and Computational Biology

Know More

Dr. Gitakrishnan Ramadurai

Ph.D., Transportation Engineering, Rensselaer Polytechnic Institute, NY, USA


Dynamic Traffic Assignment, Transportation Network Modelling, Intelligent Transportation Systems, Pedestrian Safety

Know More

Participant Profile



Our Alumni Work with Top Organizations

Student Testimonials

  • "As a professional working in the Advertising/Marketing Technology space, I see the need of Data science at work."
    Navin Rao, Advertising
  • "As an IT professional, I feel the need to learn Machine Intellegence to work on challenging technologies at work."
    Karthikeyan Logamani, Banking and Finance
  • "I want to build cloud-based software products with data science and machine learning expertise."
    Arul Kumar, ITES
  • "I want to return to my IT job with Data Science expertise and this programme is adept at helping me meet that goal."
    Maithreyi G, Software Development
  • "I work in the Automotive industry. With Data Science expertise, I want to explore new opportunities in the industry."
    Ram Prasanth, Press Automation
  • "This programme will help me stay informed about the latest Data Science trends and grow my career."
    Varen Gupta, Retail
  • "Using Data Science, I want to grow my family-owned manufacturing business."
    Kartic Ramesh, Self-Employed
  • "With Data Science, I want to develop a product suite for network performance analytics for 5G telecommunications."
    Atin Banerjee, Telecommunications

Delivery Format

  • Faculty-led Interactive Masterclass Lectures
  • Hands-on Labs
  • Mentor Support
  • Hackathons
  • Workshops
  • Interactions with Experienced Professionals
  • 1 Campus Visit of 3 Days towards the end of the cohort**

**Dates will be decided keeping the safety of participants in mind. Fees will be based on actuals.


Eligibility

  • Education: B.E./M.E./B.Tech/M.Tech/B.Sc./M.Sc or an equivalent degree
  • Work Experience: Minimum 1 Year
  • Coding Experience: Basic Programming Knowledge Required

Admission Process

    Apply for the Programme

    Wait for Selection

    Block Your Seat

    Enroll for the Programme

    Start Building Expertise

    Get Certified by CODE, IIT Madras

    The selection for the programme will be done by IIT Madras and is strictly based on the eligibility criteria and the motivation of applicants as expressed in their statement of purpose.

Class Start - September, 2023

Apply Now

Program Fee

One time application fee is ₹2,000


Details Amount
Program Fee* ₹2,50,000/-

EMI Facility Available Special Pricing for Corporates *GST as applicable

Campus visit fee to be borne by participants. Will be based on actuals.

Fee is non-refundable and non-transferable.

Frequently Asked Questions

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 IIT Madras Advantage

  • Designed by RBCDSAI at IIT Madras, India’s #1NIRF ranked institution
  • Taught by top researchers in Applied Data Science and Machine Learning
  • Certification from the Center for Continuing Education at IIT Madras

Cutting-edge Applied Learning

  • Hands-on curriculum with use cases, capstones for effective learning
  • Visit the IIT Madras campus* and practise at RBCDSAI, 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.

  • 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
  • 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 iPearl.ai, 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.

About Talentsprint