Postgraduate Diploma in Data-Driven Sports Technique Optimisation
Online 800-hour Postgraduate Diploma in Data-Driven Sports Technique Optimisation. 8 modules covering Regulation (EU) 2016/679 (GDPR, biometric data), Sports Act 39/2022 and Kinovea. Assigned tutor and open enrolment.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Analyse sports technique from a quantitative perspective.
Select capture systems according to the movement and the environment.
Process signals and extract key technical variables.
Apply statistical analyses to technical variability.
Model and simulate the sports movement.
Use machine learning to identify performance patterns.
Design feedback-based interventions to improve technique.
Who it's for
- Sports performance analyst wishing to specialise in Data-Driven Sports Technique Optimisation.
- Sports biomechanist wishing to specialise in Data-Driven Sports Technique Optimisation.
- Sports data scientist wishing to specialise in Data-Driven Sports Technique Optimisation.
- Technique-specialised coach wishing to specialise in Data-Driven Sports Technique Optimisation.
- Innovation manager at a sports club wishing to specialise in Data-Driven Sports Technique Optimisation.
- Sports science researcher wishing to specialise in Data-Driven Sports Technique Optimisation.
- Graduates in engineering or sciences seeking to join sports clubs and federations.
What you'll work with
- Regulation (EU) 2016/679 (GDPR, biometric data)
- Sports Act 39/2022
- FIFA Quality Programme for EPTS
- ISO 20685-1 (3D scanning for anthropometry)
- ISB recommendations for presenting kinematic data
8 modules · 800 h
1.1Hay's deterministic models of performance1.2Phases of the technical movement1.3Biomechanical principles of movement1.4Movement variability and coordination1.5Optimal versus individual technique1.6Performance-limiting factors1.7Technique and injury risk1.8Ecological approach and Newell's constraints1.9Review of sports biomechanics literature1.10Case study: deterministic model of the long jump
2.1Optoelectronic systems: Vicon and Qualisys2.2Markerless capture: Theia and OpenCap2.3Inertial sensors in the field2.4Force and pressure platforms2.5GPS and LPS tracking systems2.6High-speed video and 2D analysis2.7Sensors on implements: rackets, bats and oars2.8Multimodal synchronisation2.9Data quality and systematic errors2.10Laboratory: capturing a sprint with IMU and video
3.1Filtering kinematic signals3.2Calculating joint angles3.3Kinetic variables: impulse and power3.4Segmental velocity and acceleration3.5Proximal-distal sequencing3.6Temporal normalisation of cycles3.7Coordination variables: relative phase3.8Selection of relevant variables3.9Automation of processing3.10Practice: kinetic sequence in a throw
4.1Single-case designs in technique4.2Intra-session and inter-session reliability4.3Statistical parametric mapping (SPM)4.4Functional principal component analysis4.5Regression between technique and performance4.6Mixed models with athletes and trials4.7Variability and entropy analysis4.8Smallest meaningful differences4.9Communicating uncertainty4.10Laboratory: comparing force curves with SPM1D
5.1Simulation of the movement with multibody models5.2Trajectory optimisation5.3Simulation of the swimming start technique5.4Aerodynamics and hydrodynamics of the athlete5.5Implement models and their interaction5.6What-if analysis5.7Predictive simulation of optimal technique5.8Validation of simulations5.9Limitations in transfer5.10Practice: simulation of the optimal take-off angle
6.1Classification of technical movements6.2Pose estimation with computer vision6.3Performance prediction from technique6.4Clustering of technical styles6.5Model interpretability for coaches6.6Small data and overfitting6.7Validation by athlete6.8Ethics and privacy of sports data6.9Tools and libraries6.10Workshop: classifier of technical errors using IMU data
7.1Augmented feedback: knowledge of results and performance7.2Real-time biofeedback7.3Designing constraint-led tasks7.4External versus internal focus of attention7.5Frequency and timing of feedback7.6Dashboards for coaches7.7Longitudinal monitoring of technique7.8Integration into training planning7.9Communication with the athlete7.10Case study: technical intervention with an elite swimmer
8.1Selection of movement and athlete8.2Deterministic performance model8.3Data capture protocol8.4Processing and variable extraction8.5Statistical analysis of technique8.6Simulation of improvements8.7Feedback-based intervention plan8.8Evaluation of technical change8.9Report and presentation8.10Final review with the tutor
How you'll learn
Fully 100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, making it possible to combine with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Kinovea, Dartfish, Python (scikit-learn), Qualisys Track Manager, R, in free, academic or evaluation versions. Trials are studied using real motion capture procedures on track or in the laboratory, inertial sensors in real training, and feedback interventions in real time. Assessment is continuous per module plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Analyse sports technique from a quantitative perspective.
Select capture systems according to the movement and the environment.
Process signals and extract key technical variables.
Apply statistical analyses to technical variability.
Model and simulate the sports movement.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow technical regulatory reading.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme consists of 800 total hours spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.
The programme works with Kinovea, Dartfish, Python (scikit-learn), Qualisys Track Manager, R. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM in-house diploma upon passing continuous assessment and the integrative project. It is in-house training, not an official Ministry qualification.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the advanced programme. Check the recognition policy when you enrol.
Related programmes
Diploma in Lean in High-Mix/Low-Volume Environments
Online postgraduate diploma of 800 hours in lean in high-mix/low-volume environments. 8 modules covering fundamentals, the regulatory framework (Regulation (EU) 2017/745 (MDR), ISO 13485), analysis methods…
Postgraduate Diploma in Insulation, Seats and Anti-Vibration Mounts
800-hour online Postgraduate Diploma in Insulation, Seats and Anti-Vibration Mounts. 8 modules with ISO 2631-1 (whole-body vibration), ISO 5349-1 (hand-arm vibration) and MATLAB/Simulink. Assigned tutor and…
Postgraduate Diploma in Interconnection Architectures and Flexible Electronics
Online 800-hour Postgraduate Diploma in Interconnection Architectures and Flexible Electronics. 8 modules covering IPC-2223 (flexible printed circuit design), IPC-6013 (flexible printed circuit qualification) and Altium Designer.…
More in Health, Biomechanics, Wearables & Operational Safety
All Health, Biomechanics, Wearables & Operational Safety programmes → · How to apply · Fees & financing · Scholarships