Certificate Programme in Data Science and Machine Learning ( Batch - 11)
Features
Programme Overview
The Indian Institute of Technology Delhi (IIT Delhi) presents a comprehensive six-month online Certificate Programme in Data Science & Machine Learning (DSML). This industry-oriented programme equips you with the expertise to transform data into actionable insights and build powerful predictive models. Master sought-after skills in data manipulation, analysis, and machine learning algorithms, including Python programming, statistics, deep learning, and data visualisation. Whether you're a working professional seeking to upskill, a graduate aiming to stand out, or an individual passionate about data analysis, this programme is designed for you.
As machine learning adoption continues to grow rapidly across industries, DSML is evolving from just focusing on predictive models towards a more democratised, dynamic, and data-centric discipline.
In the Union Budget for FY 2024-25, the allocation for the Ministry of Electronics and Information Technology (MeitY) was increased by 52% to ₹21,936.9 crore (approximately US$2.7 billion), compared with the revised estimate of ₹14,421.25 crore in the previous fiscal year (ET 2024)
₹ 1,50,000 + 18 % GST
Registration Closed
Class Schedule
Class: Every Sunday 10 AM - 1 PM
Eligibility Criteria
Graduates (10+2+3)/ Diploma Holders (10+2+3 or higher) from a recognised university in any discipline as on June 28, 2025. A minimum score of 50% in mathematics/statistics, in 12th Examination.
Programme Highlights
Learn From The Faculty Of IIT Delhi, One Of India's Leading Engineering School
Experience High-impact Live-learning, And Assess Real-world Case Studies
Gain Structured Industry-oriented Insights, And Work On Real-world Datasets
Participate In Peer-to- Peer Learning, And Expand Your Professional Network
Receive An Industry- Recognised Certificate From CEP, IIT Delhi
Programme Modules
Fundamentals of Python*
Fundamentals of Mathematics – Linear Algebra/Probability
Measures and Descriptors of Data, Distributions and Estimation
Exploratory Data Analysis
Hypothesis Testing and Evaluation
Self-Learning Project: Evaluating Channel Effectiveness by Using Hypotheses
Data and Information Systems
Story Telling with Data
Designing Business Dashboards
Self-Learning Project: Visualising Mutual Funds and Stocks
Optimisation Formulations
Gradient and Search-based Optimisation for Machine Learning
Linear, Quadratic, and Nonlinear Programming
Multi-objective Optimisation
Self-Learning Project: Multi-Objective Optimisation in Stock Investments
Regression and Derivatives
Trees and Random Forests
Support Vector Machines
Clustering – Hierarchical K-means Clustering
Dimensionality Reduction: PCA
Self-Learning Project: Predicting Customer Churn
Deep Feedforward Neural Nets
Convolutional Neural Nets
Long Short-Term Memory (LSTM) Networks
Introduction to Transformers and Attention Mechanisms
Explainable AI
Self Learning Project: CNN Model for Land Use
VAEs, GANs and Diffusion Models
Introduction to LLMs
Applications of Generative AI
Self Learning Project: Generative AI
A capstone project in the Data Science and Machine Learning Programme serves as the culmination of theoretical knowledge and practical skills acquired throughout the programme. It typically involves solving a problem using data-driven techniques and advanced algorithms. Students engage in various stages of the project life cycle, including exploratory data analysis, model selection and training, and evaluation. The project offers an opportunity to demonstrate proficiency in programming languages such as Python, statistical analysis, machine learning algorithms and data visualisation techniques. This activity is carried out in groups, and students pick one of the three or four contexts given to them.
Learning Outcomes
Build predictive models using neural networks and time series data forecasting models.
Develop an in-depth understanding of industry best practices for regression, clustering, decision trees and deep learning.
Hone optimisation techniques to minimise errors and forge precise models, mastering data science excellence.
Gain hands-on experience in machine learning algorithms, the statistical models behind them, and the applications of ML.
Tools
Tableau
Python
SQL
Pandas
Num Py
Gen AI
Programme Coordinator
Professor Hariprasad Kodamana
Associate Professor
Department of Chemical Engineering Joint Faculty
School of AI, Indian Institute of Technology, Delhi
Dr Hariprasad Kodamana is a PhD from IIT Bombay, where he received the Institute Award for Excellence in PhD thesis. His research interests include machine learning, optimisation, model-based control, fault detection and diagnosis. His research work has been published in various notable international peer-reviewed journals and presented in leading conferences.
Professor Agam Gupta
Associate Professor
Department of Management Studies Associate Faculty
School of AI, Indian Institute of Technology, Delhi
Dr Agam Gupta is a fellow of the Indian Institute of Management Calcutta (IIM Calcutta). His research areas include platform ecosystems, digital marketing, computational social science, and complexity. He has taught various courses on data visualisation and data mining. His research work has featured in reputed international journals and conferences proceedings.
Professor Manojkumar Ramteke
Professor
Department of Chemical Engineering Associate Faculty
School of AI, Indian Institute of Technology, Delhi
Manojkumar Ramteke is a PhD from the Department of Chemical Engineering, IIT Kanpur. His research areas include Modeling and Optimization, Machine Learning, Process Sustainability, Ecosystem Services, Process Planning and Scheduling. He has published several research papers in these areas and has also co-authored a book on optimization.
Programme Sample Certificate
Participants will be awarded a successful completion certificate from IIT Delhi on scoring at least 50% marks on aggregate in any two out of three quizzes, need to satisfactorily complete a group project, and maintaining a minimum attendance of 70%.
Participants who are unable to maintain 50% marks in the evaluation components, but have a minimum attendance of 85%, shall be awarded a participation certificate.
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of IIT Delhi. The organising department of this programme is IIT Delhi Yardi School of Artificial Intelligence. Sample e-certificate to be issued by CEP IIT Delhi are shown above.
Installment Schedule
Programme Fee INR 1,50,000 + 18% GST
Instalment | Remarks | Amount |
Instalment 1 | Within 5 days post-selection | INR 15,000 + GST |
Instalment 2 | 15th January, 2026 | INR 37,500 + GST |
Instalment 3 | 5th March, 2026 | INR 52,500 + GST |
Instalment 4 | 4th May, 2026 | INR 45,000 + GST |
Note:
GST will be additional as applicable.
Testimonials
Frequently asked questions
IIT Delhi’s Data Science and Machine Learning Programme is a comprehensive online certification programme designed to equip learners with in-depth knowledge of data science, machine learning, artificial intelligence, and related technologies.
This programme is best suited for:
Early and mid-level Professionals interested in gaining a relevant and cutting-edge perspective on data science and ML for better career prospects.
Professionals who oversee software development and machine learning projects with a keen interest in developing a data-driven decision-making approach and those looking to apply data science and ML to enhance their business growth.
Yes, IIT Delhi's Data Science and Machine Learning (DSML) Programme integrates data science, machine learning (ML), and artificial intelligence (AI) as interconnected fields. These disciplines complement each other to analyse and derive insights from large datasets. While each field serves unique purposes and employs different methods, this programme covers all three, enabling you to gain a holistic understanding and practical expertise.
Yes, Python is a key component of the Programme covering data manipulation, analysis, and machine learning. Fundamentals of Python will be taught via recorded sessions. The faculty will be conducting Q/A on the same.
Key topics include:
Python for Data Science.
Statistics and Data Science Fundamentals.
Machine Learning Algorithms.
Artificial Intelligence and its Applications.
Data Visualisation and Big Data Analytics.
Advanced Data Science and AI concepts.
While the programme focuses on skill-building, it will offer networking opportunities and career support to help participants advance their careers. While job placement assistance will be available to all registered learners, the primary focus will be on candidates with 0-5 years of experience. The job placement assistance will extend for 3 months from the start date of the programme.
The programme stands out due to:
Expert faculty from IIT Delhi.
A curriculum designed to align with industry demands.
Hands-on projects and tools to enhance practical learning.
A globally recognised certification.
To enrol, click on "Apply Now," complete the application form, upload the required documents, and submit your application for the programme.