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IB Math AI - Study Hub
A public revision hub for IB Math AI (SL & HL) with syllabus overview, exam structure, and the highest-priority topics to revise first.
Subject Group
Group 5 (Mathematics)
Available on Aimnova
SL & HL
Teaching Hours
150 (SL) · 240 (HL)
Exam Papers
Paper 1 (GDC) · Paper 2 (GDC) · Paper 3 (HL) · IA
01—The course
What is IB Math AI?
IB Mathematics: Applications and Interpretation 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.
Aimnova covers Math AI at both Standard and Higher Level — HL adds matrices and eigenvalues, complex numbers, graph theory, and differential equations with numerical methods, plus an extra Paper 3. The hub helps you understand the syllabus structure, prioritise revision, and move quickly into the most repeated exam-style question types at your level.
02—Assessment
IB Math AI Assessment
Paper 1
A technology-active exam (GDC required) assessing core techniques, interpretation, and mathematical reasoning across the syllabus.
Paper 2
A technology-active paper (GDC required) with extended modelling, statistics, probability, and interpretation tasks.
Paper 3
Higher Level only. Two compulsory extended real-world modelling and problem-solving tasks, with the GDC active throughout.
Internal Assessment
A mathematical exploration in which students investigate a focused topic and communicate reasoning clearly.
03—Syllabus
IB Math AI Syllabus - All Units and Topics
Unit 1Number and Algebra
- 1.1Standard form4 sub-topics
- 1.2Sequences and sigma notation4 sub-topics
- 1.3Geometric sequences4 sub-topics
- 1.4Financial applications: compound interest and annual depreciation5 sub-topics
- 1.5Exponents and logarithms4 sub-topics
- 1.6Approximating and estimating4 sub-topics
- 1.7Loan repayments and amortization4 sub-topics
- 1.8Technology methods for linear and polynomial systems4 sub-topics
Unit 2Functions
Unit 3Geometry and Trigonometry
Unit 4Statistics and Probability
- 4.1Introduction to statistics5 sub-topics
- 4.2Presentation of data3 sub-topics
- 4.3Mean, median, and mode5 sub-topics
- 4.4Correlation of data2 sub-topics
- 4.5Trial and outcome2 sub-topics
- 4.6Venn diagrams, trees and combined events5 sub-topics
- 4.7Discrete random variables7 sub-topics
- 4.8Binomial distribution2 sub-topics
- 4.9Normal distribution2 sub-topics
- 4.10Spearman rank correlation coefficient1 sub-topic
- 4.11Expected, observed, hypotheses, chi-squared, goodness of fit, and t-test3 sub-topics
Unit 5Calculus
- 5.1Introduction to limits1 sub-topic
- 5.2Increasing and decreasing functions1 sub-topic
- 5.3Introduction to derivatives2 sub-topics
- 5.4Tangents and normals2 sub-topics
- 5.5Introduction to integration3 sub-topics
- 5.6Stationary points, local maximum and minimum1 sub-topic
- 5.7Optimization1 sub-topic
- 5.8Trapezoid rule1 sub-topic
04—Resources
Free IB Math AI Study Resources
05—FAQ
Frequently Asked Questions about IB Math AI
What does Math AI focus on?
Math AI focuses on modelling, statistics, probability, functions, financial mathematics, and interpreting mathematics in context using technology confidently. At HL it extends into matrices and eigenvalues, complex numbers, graph theory, and differential equations with numerical methods.
What is the difference between Math AI SL and HL?
HL covers everything in SL plus additional topics (matrices and eigenvalues, complex numbers, graph theory, vectors, and differential equations with numerical methods), runs to 240 teaching hours versus 150, and adds a third exam — Paper 3, a one-hour pair of extended real-world modelling tasks worth 20%. Both papers are calculator-active at both levels.
How should I revise Math AI efficiently?
Prioritise repeated exam patterns first: statistics and hypothesis testing, financial mathematics, probability distributions, trigonometric modelling, and optimisation — plus matrices, graph theory, and differential equations at HL. Then practise full exam-style questions with correct calculator method and written interpretation.
Is Math AI 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.
Start revising IB Math AI with structure
Use the syllabus overview, prediction article, and live study path to focus on the Maths topics that repeat most often — at SL and HL.
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