IIT Madras Pravartak Technologies Foundation and SWAYAM Plus have launched a new AI-enabled HR Analytics programme. This initiative aims to build data-driven and AI-powered human resource capabilities. SWAYAM Plus operates under the Union Ministry of Education. The programme targets both students and working professionals.
Applications are currently open for the first cohort. The deadline for submitting applications is December 30, 2025 . The programme’s first session will commence in January 2026 . Interested individuals can apply online through the official programme portal.
Programme Objectives
The programme equips participants with critical skills. These include analytical, digital, and strategic people management abilities. The curriculum aligns with current workforce demands. It also addresses emerging organizational needs. The core focus is on leveraging data for human resources.
Learners will gain proficiency in utilizing workforce data. They will interpret HR metrics effectively. The programme emphasizes AI-driven insights. These skills are designed to strengthen organizational talent strategies. Participants will also enhance workforce planning. The goal is to improve evidence-based decision-making within HR departments.
Curriculum Structure
This HR Analytics Programme spans a duration of four months. It integrates core HR concepts with advanced analytical techniques. The curriculum includes machine learning-based predictive models. It also covers practical AI applications in human resources. Real-world case studies form a significant part of the learning experience.
Teaching sessions will be led by experienced IIT Madras faculty members. Industry practitioners will also provide instruction. These practitioners specialize in HR analytics and artificial intelligence. Their expertise ensures practical industry exposure for participants.
Learning Experience and Capstone Project
The programme includes two days of mandatory on-campus learning. These sessions will take place at the IIT Madras campus. The physical presence allows for intensive interactions and practical workshops.
All participants will undertake an industry-focused HR Analytics capstone project. This project offers practical application of learned skills. Key areas covered in the project include HR dashboards. It also focuses on AI applications specifically within HR functions. Participants will develop predictive modeling skills. They will work with HR metrics and data-driven decision-making scenarios.
Target Audience and Eligibility
The programme welcomes a diverse group of participants. Students are eligible to apply. Working professionals across various experience levels can also join. This includes entry-level HR practitioners. Mid-level HR professionals are also a target group.
The initiative specifically aims at aspiring HR leaders. Professionals from specific industries are encouraged. These sectors include aviation, technology, and various service industries. The programme builds expertise relevant to these dynamic environments.
Application and Further Information
Applications must be submitted through the official online portal. Prospective participants should visit the portal for detailed instructions. The application window closes on December 30, 2025 . No applications will be accepted after this date.
For any specific questions or additional information, applicants can send queries via email. The official email address is available on the programme website. This ensures direct communication for all interested individuals.
Expert Perspective
Dr. M. J. Shankar Raman, Chief Executive Officer of IITM Pravartak Technologies Foundation, provided a statement. He described the programme as a significant step. It aims to transform HR into a data-driven and AI-enabled function. This shift is crucial for modern organizations.
Dr. Raman emphasized the programme’s goal. It prepares future-ready HR leaders. The curriculum combines academic rigor with practical industry exposure. This dual approach ensures graduates are well-equipped for the evolving HR landscape.