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International Baccalaureate (IB) Mathematics Syllabus - 2025/26 Parent & Student Guide

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13 Jul 2025, 00:00 Z

TL;DR
IB Maths now comes in two flavours - Analysis and Approaches (AA) for proof-heavy algebra + calculus, and Applications and Interpretation (AI) for statistics + modelling power-users.
Both streams keep the same 20 % Internal Assessment (IA), but their exam papers test rather different skills.
Choosing well depends on a student's post-IP trajectory: engineering & physics prefer AA, while data-centric fields welcome AI.

1 | Big-picture anatomy of each course

RouteCore emphasisHoursExam papers
AA SLAlgebra, functions, calculus150 teaching + 30 IAP1 (non-calc) 40 %, P2 (calc) 40 %, IA 20 %
AA HLDeeper proof, series, diff-eqns240 + 30P1 30 %, P2 30 %, P3 (problem-set) 20 %, IA 20 %
AI SLStatistics, modelling, tech apps150 + 30P1 (graphing calc) 40 %, P2 (tech) 40 %, IA 20 %
AI HLLarge-data inference, calculus lite240 + 30P1 30 %, P2 30 %, P3 (investigation) 20 %, IA 20 %

Sources: IB Analysis & Approaches subject brief p.3 , IB Applications & Interpretation subject brief p.3 .


2 | Topic maps - where the hours actually go

2.1 Shared core (both AA & AI)

  • Number & algebra - arithmetic sequences, logarithms, binomial theorem.
  • Functions - composition, inverse, transformations.
  • Geometry & trigonometry - identities, three-D vectors.
  • Statistics & probability - discrete and continuous random variables, normal model.
  • Calculus - limits, differentiation, definite integrals.

2.2 Extra in AA

  • Proof of series sums, derivative tests for optimisation.
  • HL only: Maclaurin series, first-order differential equations, Euler method.

2.3 Extra in AI

  • Spreadsheet-driven exploratory data analysis.
  • HL only: Chi-square tests, linear regression t-statistics, Monte-Carlo simulation.

3 | Assessment in detail

3.1 External papers

PaperTimeCalculator?Skills hit
P1 AA (SL/HL)90/120 minNoPure algebra & calculus drill
P2 AA (SL/HL)90/120 minYesLonger modelling Qs \(\Rightarrow\) partial-fractions, DEs
P1 AI (SL/HL)90/120 minYesData interpretation, tech commands
P2 AI (SL/HL)90/120 minYesExtended statistical modelling
P3 HL (both)60 minYesInvestigation / proof write-ups

Tables condensed from subject briefs above.

3.2 Internal Assessment (IA)

  • Individually chosen exploration of max 12 pages.
  • Marked on five criteria - Presentation, Mathematical communication, Personal engagement, Reflection, Use of mathematics.
  • Weight 20 % across all four courses .

4 | Which route for which goal?

Future pathwayRecommended courseWhy
Engineering, physics, pure mathAA HLRequires rigorous calculus \(\int\), series \(\sum\), proof.
Economics, computer science*AA SL / AI HLBalance of calculus with statistics and algorithmic modelling.
Life science, psychology, businessAI SL / AI HLHeavy inferential statistics and real-data modelling.

(*Some CS faculties still request AA HL if heavy on theory; always check university matrices.)

Insight from RevisionDojo comparison and Knowledgeum Academy guide .


5 | Grade-boundary reality check (May 2024)

CourseGlobal mean grade / 7
AA HL4.9
AI HL4.4
AA SL4.6
AI SL4.4

HL AA edges AI by half a grade on average, reflecting the candidate cohort's stronger algebra background.


6 | Typical command terms & sample moves

  • “Hence find” - a follow-on; quote previous result exactly.
  • “Verify” - show algebraic steps from LHS to RHS; do not just substitute numbers.
  • “Interpret” - verbalise what a gradient, intercept or correlation means in context.

Inline check: the derivative of \(f(x)=x^3\) is \(f'(x) = 3x^2\). Writing only the answer without “since \(\frac{\mathrm{d}}{\mathrm{d}x} \bigl(x^n\bigr) = nx^{n-1}\)” risks the method mark.


7 | Core formulae you still must know

IB supplies a booklet, yet speed matters. Burn in:

  • Binomial coefficient \(\dbinom{n}{k} = \frac{n!}{k!(n-k)!}\).
  • Normal PDF \(f(x)=\frac{1}{\sigma \sqrt{2\pi}}\exp \bigl(-\tfrac{(x-\mu)^2}{2\sigma^2}\bigr)\).
  • Differential rules: \(\frac{\mathrm{d}}{\mathrm{dx}}\bigl(e^{kx}\bigr)=ke^{kx}\), product, quotient, chain.
  • Definite-integral area: \[ \int_a^b v\space dt = s \].

Drill until recall time < 3 s each.


8 | Crafting a high-scoring IA

  1. Pick a narrow, curious question e.g., “Modelling long-jumper trajectory with a quadratic fit”.
  2. Collect primary data (tracker app, spreadsheet import).
  3. Deploy at least HL-level techniques: piece-wise regression, \(r^2\), residual analysis.
  4. Reflect - strength, limitations, future work.

Well-executed HL IAs use \(\ge 3\) different representations: algebra, graph, software output.


9 | Common mistakes & quick fixes

SlipWhy marks bleedFix
Quoting results to 1 s.f.Fail “Accuracy” IA strandKeep 3 s.f. until final line.
Overlong IA (18+ pages)Moderator clippingTarget 10-12 concise pages.
Using CAS to bypass algebra“Communication” penaltyShow manual step then CAS verify.
Mixing AA & AI style mid-examLost method marksPre-plan solving route per paper.

10 | Final 12-month timeline (Y5-Y6 IP student)

MonthMath milestoneAction
Jul-Aug Y5Finish core contentStart IA brainstorming
NovHalf-draft IA, peer reviewFix citation & structure
Feb Y6First full past-paper set (2 h)Track attempt % vs accuracy %
AprSubmit final IAShift to timed-paper loops
Jun4-week exam sprintDaily Paper 1 or Paper 2 slice
OctFinal mockError-journal flashcard bursts

11 References


Last updated 13 Jul 2025.

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