A practical, cross-subject Professional Diploma that, over a balanced 8-week blend of flexible online sessions, live clinics, and hands-on tasks, shows you how to design valid experiments, run safe lab/field work, and coach authentic student investigations—while building real proficiency in data logging (Vernier or equivalent) from sensor choice and calibration to sampling, export, and rapid analysis for robust, defensible data; this Professional Diploma counts towards one full module on our MSc STEM Ed degree.

This practical 8-week course helps educators use AI to personalize learning, streamline planning and marking, and build ethical, effective classroom workflows. It progresses from foundations and guardrails to prompt design, differentiation, assessment and feedback, multimodal content creation, data-informed interventions, and policy-aligned routines, culminating in a capstone micro-lesson. By the end, participants can design AI-supported lessons, craft bias-aware prompts, create auto-marked assessments, and evaluate tools for impact. Assessment blends weekly micro-labs, short reflections, and a final showcase, using familiar LMS suites plus a trusted LLM—always with accessibility and human oversight.

This practice-led 8-week module—tailored for qualified PE teachers (and suitable for Sports & Exercise Science graduates/fitness professionals)—translates elite performance science into school and academy contexts, focusing on applied techniques that measurably lift on-pitch, on-court, track, and field outcomes, both physically and mentally. Taught by elite coaches with top-level experience and led by Adrian Lamb (English Premier League: Aston Villa, Newcastle United, Sunderland AFC), you’ll learn the principles and methods used by world-class athletes and coaches and adapt them for curriculum delivery, extra-curricular squads, and talent pathways. A bachelor’s degree is required. Successful completion counts as one module toward the MSc Advanced Sports Performance degree.