IB Math AI SL - Study Hub
A public revision hub for IB Math AI SL with syllabus overview, exam structure, and the highest-priority topics to revise first.
What is IB Math AI SL?
IB Mathematics: Applications and Interpretation SL is the mathematics course built around modelling, statistics, probability, interpretation, and the effective use of technology. It is designed for students who want maths connected to real situations rather than treated only as abstract proof.
The public Math AI hub on Aimnova currently focuses on Standard Level. It is intended to help students understand the syllabus structure, prioritise revision, and move quickly into the most repeated exam-style question types.
Subject Group
Group 5 (Mathematics)
Available on Aimnova
SL
Teaching Hours
150 (SL)
Exam Papers
Paper 1 · Paper 2 · IA
IB Math AI SL Assessment
Paper 1
40%1 h 30 minA technology-active exam (GDC required) assessing core techniques, interpretation, and mathematical reasoning across the SL syllabus.
Paper 2
40%1 h 30 minA technology-active paper (GDC required) with extended modelling, statistics, probability, and interpretation tasks.
Internal Assessment
20%A mathematical exploration in which students investigate a focused topic and communicate reasoning clearly.
IB Math AI SL Syllabus - All Units and Topics
Unit 1: Number and Algebra
Unit 2: Functions
Unit 3: Geometry and Trigonometry
Unit 4: Statistics and Probability
Free IB Math AI SL Study Resources
2026 Predictions
The Math AI SL topics most likely to matter most in 2026
Paper 1 Crash Course
Lock in the 13 highest-frequency Paper 1 topics before exam day
Paper 2 Crash Course
GDC workflows and long-question patterns for Paper 2
Start Studying
Jump into the live Math AI study flow
Command Terms
Learn how IB wording changes what a high-scoring answer looks like
Exam Skills
General IB exam strategy you can apply to maths revision
Mock Exams
Explore the public mock-exam hub while Math public coverage expands
Frequently Asked Questions about IB Math AI SL
What does Math AI SL focus on?
Math AI SL focuses on modelling, statistics, probability, functions, financial mathematics, and interpreting mathematics in context using technology confidently.
How should I revise Math AI SL efficiently?
Prioritise repeated exam patterns first: statistics and hypothesis testing, financial mathematics, probability distributions, trigonometric modelling, and optimisation. Then practise full exam-style questions with correct calculator method and written interpretation.
Is Math AI SL good for real-world applications?
Yes. The course is designed around practical modelling and interpretation, making it especially relevant for students interested in social sciences, business, design, environmental studies, and technology-supported problem solving.
Does Aimnova already cover the full Math AI public silo?
Not yet. The current public Math AI presence starts with the subject hub, syllabus overview, live study path access, and prediction content, and can expand into deeper resources over time.
Start revising IB Math AI SL with structure
Use the syllabus overview, prediction article, and live study path to focus on the Maths topics that repeat most often.
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