AI HL
Mathematics: Applications & Interpretation, Higher Level
AI SL's applied focus, extended with matrices, vectors, complex numbers, differential equations and graph theory. Heavy on modelling.
Who this course is for
For students who want a quantitative degree path (engineering, computer science, economics, data science) without the formal proof emphasis of AA HL.
Topics covered
- Number and algebra (incl. matrices, complex numbers)
- Functions (incl. logistic models)
- Geometry and trigonometry (incl. vectors, Voronoi)
- Statistics and probability (incl. Poisson, Markov chains)
- Calculus (incl. ODEs, volume of revolution)
Assessment
External assessment: 80% · Internal assessment: 20%
Paper 1
30%Short-response questions across the whole syllabus.
Paper 2
30%Extended-response questions in real-world contexts.
Paper 3
20%Two long problem-solving questions that combine ideas across topics. Requires sustained reasoning.
Internal Assessment — Exploration
20%A 12–20 page mathematical exploration on a topic of the student's choice. Students develop, apply and reflect on mathematical ideas, marked against the IB criteria for presentation, communication, personal engagement, reflection, and use of mathematics.
At a glance
- Family
- AI
- Level
- HL
- External
- 80%
- IA
- 20%
Thinking about this course?
Talk to your Year 11 mathematics teacher in the second half of Year 11. Bring your end-of-year report and any specific degree programmes you are considering.
Academic honesty in DP mathematics →