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

Teaching Hours

150 (SL)

Exam Papers

Paper 1 · Paper 2 · IA

IB Math AI SL Assessment

Paper 1

40%1 h 30 min

A technology-based exam assessing core techniques, interpretation, and mathematical modelling across the SL syllabus.

Paper 2

40%1 h 30 min

A second technology-based paper 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

1.1Using standard form1 sub-topic

1.1.1 Reading, writing, and using standard form

1.2Sequences and sigma notation1 sub-topic

1.2.1 Sequences and sigma notation

1.3Geometric sequences0 sub-topics

1.4Financial applications: compound interest and annual depreciation0 sub-topics

1.5Exponents and logarithms0 sub-topics

1.6Approximating and estimating0 sub-topics

1.7Loan repayments and amortization0 sub-topics

1.8Technology methods for linear and polynomial systems0 sub-topics

Unit 2: Functions

2.1Equations of a line0 sub-topics

2.2Functions, domains, ranges, and graphs0 sub-topics

2.3Graph of a function0 sub-topics

2.4Features of a graph0 sub-topics

2.5Modeling functions0 sub-topics

2.6Modeling skills0 sub-topics

Unit 3: Geometry and Trigonometry

3.13D space, volume, angles, and midpoints0 sub-topics

3.22D and 3D trigonometry0 sub-topics

3.3Angles of elevation and depression0 sub-topics

3.4Circle arc length and area of sector (degrees)0 sub-topics

3.5Line intersections and perpendicular bisectors0 sub-topics

3.6Voronoi diagrams0 sub-topics

Unit 4: Statistics and Probability

4.1Introduction to statistics0 sub-topics

4.2Presentation of data0 sub-topics

4.3Mean, median, and mode0 sub-topics

4.4Correlation of data0 sub-topics

4.5Trial and outcome0 sub-topics

4.6Venn diagrams0 sub-topics

4.7Discrete random variables0 sub-topics

4.8Binomial distribution0 sub-topics

4.9Normal distribution0 sub-topics

4.10Spearman rank correlation coefficient0 sub-topics

4.11Expected, observed, hypotheses, chi-squared, goodness of fit, and t-test0 sub-topics

Unit 5: Calculus

5.1Introduction to limits0 sub-topics

5.2Increasing and decreasing functions0 sub-topics

5.3Introduction to derivatives0 sub-topics

5.4Tangents and normals0 sub-topics

5.5Introduction to integration0 sub-topics

5.6Stationary points, local maximum and minimum0 sub-topics

5.7Optimization0 sub-topics

5.8Trapezoid rule0 sub-topics

Free IB Math AI SL Study Resources

🎯

2026 Predictions

The Math AI SL topics most likely to matter most in 2026

📚

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.

New subject hub

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.

Start Free

No credit card required · Cancel anytime