November 2026 session

IB Math AI HL Paper 2 Predicted Questions 2026

The extended-response topics most likely to appear in the 2026 Paper 2 — backed by frequency analysis of past papers. The GDC is required throughout this paper.

Math AI HL Paper 2 Crash Course

Long questions reward a plan, not luck. Learn the GDC methods that unlock the top marks.

This crash course targets the Paper 2 extended-response topics with the highest past-paper frequency — optimisation, graph theory (MST, TSP, Chinese postman), coupled differential equations, and Markov chains. Every method is GDC-first, worked end-to-end, and structured the way HL examiners award marks.

  • Optimisation and graph-theory walkthroughs — the two highest-signal HL long questions.
  • GDC methods for coupled differential equations, phase portraits, and Markov transition matrices.
  • Vectors, kinematics, and chi-squared questions worked end-to-end with full method marks.
  • A daily revision plan so you know which HL topics to hit in the final two weeks.

Most likely Paper 1 focus areas

Based on frequency analysis across past Math AI HL Paper 2 sessions

  • 1Optimisation — maximise or minimise a real-world model with calculus and the GDC — appeared 54 times, the single highest-frequency Paper 2 topic
  • 2Graph theory: minimum spanning tree, travelling salesman, and Chinese postman routing problems — 52 appearances, an HL-only long question
  • 3Coupled differential equations and phase portraits — solving systems and reading trajectories — 40 appearances
  • 4Markov chains and transition matrices — steady-state and long-run probabilities — 39 appearances
  • 5Vectors and kinematics — position, velocity, and motion in 2D and 3D — 33 appearances
  • 6Statistics: chi-squared tests and grouped-data analysis — 31 appearances
  • 7Modelling with functions — fitting and interpreting a model in context — 27 appearances
  • 8Hypothesis testing with the Poisson and binomial distributions — 24 appearances

How to use these predictions effectively

  • 1Prioritise optimisation and graph theory first — together they dominate the Paper 2 frequency data.
  • 2Practise full written working even when the GDC does the computation — HL marks follow the method.
  • 3Drill the HL-only methods until they are automatic: MST/TSP, transition matrices, and coupled DE systems.
  • 4After each practice, check your answer structure: setup, working, answer with units, then context.

Ready to walk in confident on Math AI HL Paper 2?

The crash course gives you the right HL topics, GDC-first worked methods, and extended-response practice reps to score well on Paper 2.

Join the Math AI HL Paper 2 crash course