IB Mathematics · Complete topic list

900 topic ideas – page 30 of 36.

Topics 726 to 750 with explanations, methods, course and equipment guidance.

Mathematics and applications

Compare 900 ideas clearly.

The list mixes calculus, statistics, modelling, geometry, number theory, computer science, sport, environmental topics and other areas. Each entry includes a short explanation and visible methods such as differential calculus, integral calculus, statistics or regression.

Planning guidance, not official topic approvalThe IA, EE, AA, Math AI, SL and HL classifications are editorial guidance. The current subject guide, assessment session, mathematical depth, focus and school approval remain decisive.
1

Select an idea. Titles and areas are starting points, not finished research questions.

2

Check A and C. These codes give an initial indication of assessment type, course and level.

3

Read P, M and S. They show possible independent direction, tools, and safety or data-protection needs.

Work
Course
Level

Showing 25 of 25 topic ideas

Mixed topic list for the Mathematics IA and Mathematics Extended Essay
No. Topic idea A C P M S
726 Oscillations, coupling, and chaosMass and spring period with spring-mass correction

Measure period for different loads and estimate effective spring mass.

Functions & modelling
3 9 161112 26 0
727 Oscillations, coupling, and chaosSpring nonlinearity

Investigate a spring or elastic band over a wider safe extension range.

Algebra
3 9 11112 215 0
728 Oscillations, coupling, and chaosWire geometry and torsion pendulum

Vary the length or radius of a torsion wire.

Functions & modellingDifferential equationsRegressionGeometryAlgebra
3 2 11112 113 0
729 Oscillations, coupling, and chaosPlatform mass and metronome synchronization

Place metronomes on movable platforms of different mass.

Functions & modellingDifferential equationsGeometry
3 2 11112 2611 0
730 Oscillations, coupling, and chaosInitial difference and chaotic divergence of a double pendulum

Release two nearly identical double pendulums with small initial differences.

Functions & modellingDifferential equations
3 2 1681112 11117 1
731 Friction, rolling, and granular materialsMoment of inertia and ramp acceleration

Roll different bodies down the same incline.

Geometry
3 9 11112 13 0
732 Friction, rolling, and granular materialsWheel radius and rolling resistance

Pull equally loaded wheels of different radii over the same surface.

Functions & modellingGeometryAlgebra
3 9 131112 1251520 0
733 Friction, rolling, and granular materialsTyre pressure and rolling resistance

Measure coast-down distance at different permitted tyre pressures.

Functions & modellingDifferential calculusStatistics & probabilityOptimisation
3 9 131112 15820 0
734 Friction, rolling, and granular materialsNormal force and coefficient of friction

Pull the same object with different added masses.

Functions & modellingRegressionGeometryProof
3 2 1101112 21315 0
735 Friction, rolling, and granular materialsApparent contact area and friction

Pull the same block on different faces.

Geometry
3 9 11112 1315 0
736 Friction, rolling, and granular materialsMeasured roughness and friction

Create reproducible roughness levels and define an image-based roughness index.

Functions & modellingRegression
3 6 1231112 713 0
737 Friction, rolling, and granular materialsLubricant viscosity and bearing coast-down time

Compare suitable safe lubricants in a small bearing.

Functions & modellingTrigonometry
3 9 131112 1361220 0
738 Friction, rolling, and granular materialsParticle shape and angle of repose

Compare spherical, angular, and elongated grains of similar size.

Statistics & probabilityTrigonometryGeometry
3 6 181112 11112 0
739 Friction, rolling, and granular materialsOutlet diameter and granular discharge

Discharge sand or rice through openings of different sizes.

Functions & modellingGeometry
3 9 181112 1320 0
740 Friction, rolling, and granular materialsSpin rate and precession of a top

Measure spin and precession rates of a top over time.

Functions & modellingGeometrySequences & seriesTime-series analysis
3 6 11112 36121320 0
741 Flight, aerodynamic drag, and propellersPaper-helicopter blade length

Vary rotor-blade length while keeping total mass constant.

Functions & modellingDifferential calculusOptimisation
3 9 131112 12561020 1
742 Flight, aerodynamic drag, and propellersFold angle of a paper rotor

Vary the pitch angle of paper rotor blades.

Functions & modellingDifferential calculusTrigonometryOptimisation
3 9 131112 151020 1
743 Flight, aerodynamic drag, and propellersWing aspect ratio and glide ratio

Build paper aircraft with equal wing area but different spans.

Functions & modellingRegressionTrigonometryGeometry
3 6 121112 15101320 1
744 Flight, aerodynamic drag, and propellersCentre-of-mass position and flight stability

Move a small mass along the same paper aircraft.

Functions & modellingDifferential calculusStatistics & probabilityProofOptimisation
3 2 1101112 2571020 1
745 Flight, aerodynamic drag, and propellersLaunch angle and range with air resistance

Use a safe soft projectile and record its trajectory.

Functions & modellingDifferential equationsDifferential calculusTrigonometryNumerical methodsAlgebra
3 2 11112 157101320 1
746 Flight, aerodynamic drag, and propellersSpin and lateral flight deflection

Launch light balls with controlled spin and analyse lateral deflection.

Functions & modellingDifferential calculusRegression
3 9 181112 57101320 1
747 Flight, aerodynamic drag, and propellersParachute area and terminal velocity

Drop equal-mass model parachutes of different areas.

Functions & modellingGeometry
3 9 121112 257101220 1
748 Flight, aerodynamic drag, and propellersVent diameter and parachute stability

Vary the central vent diameter in equal-sized parachutes.

Functions & modellingDifferential calculusGeometryOptimisation
3 9 131112 15610 1
749 Flight, aerodynamic drag, and propellersPropeller pitch and thrust

Test small low-voltage propellers with different blade angles.

Functions & modellingDifferential calculusTrigonometryOptimisation
3 9 131112 1351020 1
750 Flight, aerodynamic drag, and propellersNumber of blades and propeller efficiency

Compare similar propellers with different blade counts.

Statistics & probabilityOptimisation
3 6 11112 3510 1
Code legend

What A, C, P, M and S mean.

The table stays narrow on a phone by replacing long descriptions with numeric codes. Entries may contain several P and M codes.

AAssessment type
1
Internal Assessment (IA)
2
Mathematics Extended Essay (EE)
3
Potentially suitable for an IA or EE, depending on focus and mathematical depth
CCourse and level
1
Mathematics AA SL
2
Mathematics AA HL
3
Mathematics AA at SL or HL
4
Mathematics AI SL
5
Mathematics AI HL
6
Mathematics AI at SL or HL
7
Mathematics AA or AI at SL
8
Mathematics AA or AI at HL
9
Mathematics AA or AI at SL or HL
PWays to demonstrate independent direction and personal engagement
1
Own data, measurements, observations or experiment
2
Own photographs, drawings, constructions or models
3
Own sport, video, GPS or tracker context
4
Own school or class survey or observation
5
Own everyday, household, consumer or financial data
6
Local context: environment, buildings, traffic, climate or nature
7
Own programming, simulation or algorithm
8
Personal interest: music, art, games, design or another hobby
9
Public data selected, prepared and analysed independently
10
Own conjecture, proof idea, generalisation or theoretical comparison
11
Own modelling decision, construction, optimisation or adaptation
12
Critical comparison of assumptions, errors, limitations or ethical issues
MMeasuring instruments, tools or data access
0
No specialist physical instrument; a calculator, CAS, spreadsheet or open data may be sufficient
1
Ruler, tape measure, calliper or protractor
2
Balance or precision scale
3
Contact thermometer or temperature data logger
4
Infrared thermometer or thermal camera
5
Multimeter or another electrical measuring instrument
6
Stopwatch or timer
7
Camera or smartphone for photographic and video analysis
8
GPS device or fitness tracker
9
Microphone, sound-level meter or audio-analysis software
10
Light meter, light sensor or solar sensor
11
Conductivity, pH or salinity meter
12
Weather instruments, such as an anemometer or rain gauge
13
Computer, spreadsheet, CAS, GeoGebra, Desmos or Python
14
Survey form, data sheet or observation record
15
Force sensor or spring balance
16
Laboratory glassware, measuring cylinder or pipette
17
Telescope, binoculars or a suitable camera
18
Humidity or material-moisture sensor
19
Non-invasive physiology sensor, such as heart-rate or reaction-time measurement
20
Physical model, 3D printer or material samples
21
Specialist school laboratory equipment
SSafety and data protection
0
Likely to be low risk within normal school practice
1
Supervision recommended, for example for heat, electricity, sport or traffic observation
2
Carry out only in a school laboratory or with qualified supervision
3
Sensitive personal or health data: consent, anonymisation and preferably secondary data; no medical self-intervention
From heading to investigation

A topic becomes workable only through independent decisions.

The table is designed to speed up the first step. The actual research question emerges through focus, mathematical choice and critical checking.

Focus the object

Define the object, dataset, time period, variable or mathematical structure as precisely as possible.

Select the mathematics

Decide which models, proofs, statistical procedures or optimisation steps can genuinely answer the question.

Plan independent direction

Use your own data, comparisons, modelling choices, extensions or proof ideas rather than reproducing a standard procedure.

Reflect on limitations

Examine assumptions, sources of error, data quality, model limitations, safety and possible improvements.

Personal engagement and independent direction

A personal connection is more than one sentence in the introduction.

The P codes indicate possible ways to shape an investigation independently. Independent thinking becomes visible through justified decisions, appropriate data selection, personal model variants, meaningful comparisons and critical reflection. A code does not guarantee a particular mark.

Review the IA requirements
Frequently asked questions

Use the topic list correctly.

Are the titles finished research questions?

No. They name a possible direction. A question for assessed work must be focused more narrowly, matched to the course and level, and connected to a clear mathematical method.

What does A = 3 mean?

The broad direction could be developed as an IA or Mathematics EE, depending on focus and depth. An EE will normally require a substantially deeper mathematical argument and an appropriate research scope.

Is C an official IB classification?

No. C is editorial guidance for Mathematics AA or Math AI and SL or HL. Final suitability depends on the specific research question and the current requirements.

Do I need to own the listed instruments?

No. M indicates typical or possible tools. Many topics can use open data, a spreadsheet, CAS, GeoGebra, Desmos or Python. Adapt the topic to resources that are genuinely available.

How should topics involving health or personal data be handled?

Prefer anonymised or publicly available secondary data. Original data collection needs consent, data protection, school approval and a low-risk method. Diagnosis, medication changes and invasive self-experimentation do not belong in a Mathematics project.

The complete list is also machine-readable.

The same 900 entries are available as plain text and bilingual JSON for search, accessibility and AI systems.

Authoritative foundations

Check the current curriculum version before starting.

The catalogue complements the PreLearning explanations. Current official IB documents and the school's instructions remain authoritative.

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