Career pathway

Sports Science, Human Performance & Analytics

Use data and mathematical analysis to understand performance, training, health, and athletic development. This is what a Grade 10 student actually learns on the CMP Sports Science pathway.

All pathways

Pathway insight

Mathematics is everywhere in sport

Every training session, match, and recovery plan generates data. Students learn to read performance numbers the way a sports scientist or analyst does.

From topic to track or field

Statistics, probability, and regression become tools for training-load planning, injury screening, tactical analysis, and performance forecasting, not abstract exercises.

Portfolio, not just tests

Each term ends with a portfolio task, a short performance-style report where the student uses the mathematics to justify a training, injury-risk, or selection decision.

What students learn: Grade 10 Sports Science, Human Performance & Analytics Course Planner

Four terms, each anchored to a real area of sports science and human performance practice. Four sample topics from every term are shown below.

Term 1

Athlete Measurement, Performance Metrics & Sports Data

Assessment Task 1

Sample topics

Athlete health indicators
Physiological measurements
Anthropometric measurements
Measuring athletic performance

Performance insight: Differentiate between an athlete population, such as all players in a league, and a sample, such as selected players tested during preseason.

Term 2

Performance Modelling, Tactical Analysis & Human Performance

Assessment Task 2

Sample topics

Tactical events
Possession outcomes
Shot selection
Match phases

Performance insight: Distinguish independent and mutually exclusive sports events, such as a shot attempt and a turnover in the same possession.

Term 3

Injury Screening, Sports Medicine & Decision Making

Assessment Task 3

Sample topics

Injury screening tests
Return-to-play data
Screening outcomes
Sports medicine decisions

Performance insight: Organize injury screening results into a two-way table comparing actual injury status with screening result.

Term 4

Performance Optimization, Biomechanics & Sports Analytics

Year-End Milestone Assessment

Sample topics

Heart-rate baselines
Sprint-time percentiles
Jump-height quartiles
Training-load profiles

Performance insight: Use percentiles, quartiles and IQR to establish baseline ranges for athlete performance data.