The Indian Institute of Technology Delhi (IIT Delhi) has announced admission for class 10th students for its esteemed certificate program in Data Science & Machine Learning (DSML). However, Data science and machine learning are developing rapidly. KPMG's 2024 Global Tech Report informs that 57% of tech professionals view AI and machine learning, including generative AI, as the driver of business objectives.
PwC's Global Artificial Intelligence Study estimates that AI has the potential to add up to $15.7 trillion to the global economy by 2030.
But is there adequate, qualified manpower in DS and ML to fuel the growth?
According to Qlik's 2024 report, only 11% of global employees feel fully confident in their data literacy skills, despite 85% of executives asserting that data literacy will be as crucial as basic computer skills by 2030.
Professionals without data skills risk falling behind, as employers now highly value analytical thinking and digital literacy across all sectors. The Certificate Programme in Data Science and Machine Learning from IIT Delhi provides a strong foundation in data tools, statistical techniques, and machine learning applications. Delivered online by esteemed IIT Delhi faculty, the course covers Python, deep learning, and data visualisation, along with hands-on projects and case studies to build real-world, job-ready skills.
More than 900 students have successfully completed the program, rating it a whopping 4.45 out of 5. Acclaimed for its excellence in engineering education, IIT Delhi stands at #2 in the NIRF 2024. Thus, the course is a chance for working professionals to develop or further their careers in machine learning and data science.
Programme Overview
DS and ML skills are in high demand with the demand-supply gap growing by the day, and filling the gap are programmes such as this one. Let's have a look at some of the distinguishing features of this DSML programme conducted by IIT Delhi.
Parameter | Details |
Programme Name | Certificate Programme in Data Science & Machine Learning (DSML) |
Institution | Indian Institute of Technology (IIT) Delhi |
Batch | 10th Batch |
Mode | Live Online Classes |
Duration | 6 Months |
Programme Fee | ₹1,50,000 |
Faculty | Taught by IIT Delhi Professors |
Programme Rating | 4.45 / 5 (based on participant feedback) |
Past Participants | 900+ |
- 6-month live-online program with live classes by IIT Delhi professors: Experience real-time interaction, customized feedback, and an immersive classroom-like experience—wherever you are. This convenient learning solution combines academic rigor with accessibility, delivering world-class education within easy reach of working professionals
- Industry-curated curriculum covering Python, ML Algorithms, NLP and more: The curriculum of IIT Delhi’s machine learning course offers in-depth learning in machine learning, data science, deep learning, and generative AI, alongside practical training in tools like Tableau, Python, SQL, and case studies for hands-on experience.
- Get hands-on experience with live learning through real-case studies in this IITD data science program. The modules align with industry requirements and create hands-on expertise. Acquire the tools and knowledge for DS and ML career opportunities.
- The program involves a numseveral-learning projects, including measumeasuringnel effectiveness through hypothesis, multi-objective optimisation of stock investment, customer churn prediction, cnn mand a CNNl for land use.
- Obtain an industry-recognised certificate from IIT Delhi, which is ranked #2 in engineering and has a reputation for academic excellence, innovative research, and a strong global reputation in technology and professional education.
Learning outcomes
This program prepares learners with skills to develop forecasting models with neural networks and time series forecasting. Learners obtain practical experience working with machine learning algorithms and learning the statistical models that underpin them, in addition to applications. The program teaches major approaches like regression, clustering, decision trees, and deep learning. Learners also learn optimisation methods to reduce errors and increase model accuracy to ensure a complete and industry-driven understanding of machine learning and data science.
Who should apply to this course?
Ideal for working professionals, the course is well suited to early- and mid-level managers looking to enhance their career with popular DS and ML competencies. It also suits software or ML project leaders responsible for decision-making who seek to leverage data-driven innovation and business opportunities.
Curriculum Highlights
Key Topics Covered |
Python Programming |
Machine Learning Algorithms |
Natural Language Processing (NLP) |
Deep Learning |
Data Visualization |
Real-World Case Studies |
Eligibility Criteria
Criteria | Requirement |
Education Qualification | Graduation (10+2+3) or Diploma from a recognized university |
Coding Background | Not required |
Target Audience | Working professionals from all industries |
Application Details
Parameter | Details |
Application Mode | Online |
Official Link | IIT Delhi DSML Programme |
Selection Criteria | Based on eligibility and application review |
Certification | Issued by IIT Delhi upon successful completion |
Previous Participant Profile
Previous participants had mixed levels of experience, with the majority having between 10 years, followed by 38% having 10–20 years, and the remaining split between 20–30 years and more than 30 years. They were from various industries, with BFSI, Consulting, FMCG, IT Services, and Manufacturing being the most prominent, followed by industries such as Bioinformatics, Education, Healthcare, Infrastructure, Renewable Energy, and Travel. Functionally, the participants had experiences in Consulting, Engineering, Finance, Manufacturing, and Technology Management, and in Education, IT Services, and Operations.
The IIT Delhi Certificate Programme in Data Science & Machine Learning provides a robust background in neural network-based predictive modelling and time series forecasting. Learners gain hands-on exposure to machine learning algorithms and underlying statistical models. The program deals with basic techniques like regression, clustering, decision trees, and deep learning. Students also delve into optimisation formulations to minimize errors and increase model precision. The program prepares professionals with the ability to tackle actual problems using data-driven methods.