Spring School in Sports Technology, Machine Learning and Data Analytics 2026 ( under the initiative IIT Delhi–SAI–University of Exeter Sports Technology Workshop )
Features
Programme Overview
The Spring School on Sports Technology, Machine Learning and Data Analytics, under the initiative IIT Delhi–SAI–University of Exeter Sports Technology Workshop, is a five-day intensive programme hosted at IIT Delhi. The programme brings together experts from academia and industry and focuses on emerging technologies in sports performance, analytics, and data-driven decision-making through expert lectures, hands-on sessions, and demonstrations.
It is designed for students, researchers, professionals, coaches, and sports scientists seeking interdisciplinary exposure. Participants will gain practical insights along with certification from IIT Delhi and partner institutions.
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IIT Delhi students – INR 2,500 + 18 % GST
Other students (Non-IIT Delhi) – INR 3,500 + 18 % GST
SAI-affiliated participants – INR 7,500 + 18 % GST
Working Professionals / Others – INR 12,500 + 18 % GST
Registration Closed
Class Schedule
Offline (On Campus)
Monday & Tuesday (2nd March and 3rd March, 2026 ): 9 : 30 AM to 5 : 30 PM
Wednesday (4th March, 2026): No events scheduled (Holi), Dinner and networking event at IIT Delhi
Thursday (5th March, 2026): 9:30 AM to 5:30 PM
Friday (6th March, 2026): 9:30 AM to 6:15 PM
Eligibility Criteria
This programme is ideal for:
Sports coaches
Physiotherapists & rehabilitation professionals
Sports scientists & fitness professionals
Researchers, PhD scholars, and postgraduate students
Sports-tech entrepreneurs and industry professionals
Programme Highlights
In-Person Training
Live Session
Earn A Certificate
Technology Demonstration & Training By Industry
Learn Directly From IIT Delhi & University Of Exeter Faculty
Programme Modules
Welcome and Inaugural Session: Opening remarks by programme coordinators from the Indian Institute of Technology Delhi and the University of Exeter
Keynote Lecture: Pushing the Boundaries: Incorporating Technology in Sports - Delivered by leadership from the Sports Authority of India
Exercise Physiology and Role of Sensing: Academic perspectives on physiological monitoring and sensing technologies
Sensing Muscle Function: EMG-based assessment and neuromuscular function analysis
Application in Practice – GPS Technologies: Real-world applications of GPS data analytics in sports performance
Evidence and Technology-Based Approaches to Sports Nutrition: Scientific frameworks for nutrition interventions supported by data and performance analytics.
Biosensing-Based Insights into Exercise and Heat Performance: Understanding physiological responses to exercise and environmental stress using sensing technologies.
Role of Technology in Parasport's Performance Assessment: Application of sports technology for performance assessment, classification, and athlete development in parasports.
Best Practices in Technology Integration: Practitioner-led insights into the use of GPS and performance monitoring technologies in elite sports environments.
No formal academic sessions (Holi Festival Holiday)
Networking Dinner and Professional Interaction at IIT Delhi
Sports Wearables and Neural Technologies: Applications of EEG and fNIRS for monitoring neural and cognitive aspects of sports performance.
Measuring Mental States in Real World Environments: Assessing psychological and cognitive load in applied sports settings.
Augmented Reality (AR) and Virtual Reality (VR) in Sports: Use of immersive technologies for training, skill development, and performance analysis.
Hands-on VR Demonstration: Practical exposure to VR environment design and basic simulation development.
Performance Psychology and Technology-Based Interventions: Technology-enabled approaches to athlete stress management and mental performance.
Understanding the Role of Simulation in Sports: Simulation-based models for training, decision making, and performance optimisation.
Introduction to Artificial Intelligence and Machine Learning in Sports: Foundational concepts and applications of AI and ML in sports performance analysis.
Applied Data Science in Sports: How performance data is analysed to inform training and competitive decisions.
Hands-on Laboratory Demonstrations:
a.Motion capture and biomechanical modelling for sports performance analysis
b.Wireless EMG data processing, muscle oximetry, and biomechanics assessment using industry-grade systems
Programme Conclusion and Academic Wrap-up: Summary of key learning outcomes and closing academic discussion.
Programme Coordinator
Professor Biswarup Mukherjee
Associate Professor
Center for Biomedical Engineering
Indian Institute of Technology Delhi
Coordinator for IIT Delhi - University of Exeter partnership. Research focused on multi-modal platform technologies for neuromuscular activity monitoring.
Programme Sample Certificate
Installment Schedule
IIT Delhi students – INR 2,500 + 18 % GST
Other students (Non-IIT Delhi) – INR 3,500 + 18 % GST
SAI-affiliated participants – INR 7,500 + 18 % GST
Working Professionals / Others – INR 12,500 + 18 % GST
Frequently asked questions
The Spring School aims to provide hands-on, real-world exposure to modern sports technology, machine learning, and data analytics used in elite sports performance, research, and athlete development, going far beyond classroom-based learning.
This programme is ideal for:
Sports coaches
Physiotherapists & rehabilitation professionals
Sports scientists & fitness professionals
Researchers, PhD scholars, and postgraduate students
Sports-tech entrepreneurs and industry professionals
No. No prior coding or advanced ML knowledge is required. All concepts in data analytics and machine learning are introduced from the foundational level, with a strong focus on application in sports contexts, not abstract theory.
Participants will engage in guided, live demonstrations and practical sessions involving:
Motion capture & biomechanical modelling
Wireless EMG & neuromuscular assessment
Wearable sensor technologies
VR-based simulation and training
Sports data analytics and ML workflows using industry-grade systems
The programme is taught by leading faculty and scientists from:
IIT Delhi
University of Exeter (UK)
Sports Authority of India (SAI)
Elite sports and research institutions practitioners
Unlike typical workshops, this Spring School:
Is fully in-person and immersive
Combines technology, physiology, psychology, AI, and VR
Uses real tools used in elite sports and research labs
Offers international academic and practitioner exposure
Yes. Participants who complete the programme will receive a certificate from leading institutions, including:
Indian Institute of Technology Delhi
University of Exeter
Sports Authority of India
Yes. The programme includes:
Dedicated academic interaction sessions
A networking dinner at IIT Delhi
Informal discussions with faculty, researchers, and practitioners
Absolutely. The Spring School is designed for both academic and industry professionals, including international participants, and focuses on practical relevance and real-world application rather than academic theory alone.
Seats are limited to ensure:
High-quality hands-on experience
Small-group interaction during lab demonstrations
Direct access to faculty and technology systems