IB Mathematics · Complete topic list

900 topic ideas – page 29 of 36.

Topics 701 to 725 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
701 Further CO₂ experimentsDoor-opening frequency and CO₂ decay

Open a door at standardized intervals without artificially enriching the room with CO₂.

Functions & modellingTrigonometrySequences & seriesTime-series analysis
3 6 1681112 61320 0
702 Further CO₂ experimentsVentilation setting and steady-state CO₂ level

Compare different settings of an existing mechanical ventilation system.

Functions & modellingRegression
3 6 161112 21320 0
703 Further CO₂ experimentsBreak schedule and peak CO₂ concentration

Compare occupied periods with differently timed ventilation breaks.

Functions & modellingDifferential equationsDifferential calculusTrigonometryGeometryAlgebra
3 2 131112 3616 0
704 Further CO₂ experimentsLag between occupancy and CO₂ response

Record occupancy changes and analyse the delayed CO₂ response.

Functions & modellingRegressionAlgebra
3 6 131112 6131420 0
705 Further CO₂ experimentsCO₂ sensor response time

Move a sensor between two naturally occurring concentration ranges.

Functions & modelling
3 9 1361112 61619 0
706 Further CO₂ experimentsAgreement between multiple CO₂ sensors

Place several sensors side by side for an extended period.

Functions & modellingRegressionAlgebra
3 6 11112 1613 0
707 Further CO₂ experimentsDistance from ventilation opening and CO₂ gradient

Measure along a line between the room centre and an opening or air outlet.

Functions & modellingDifferential calculusRegressionNumerical methods
3 9 161112 13613 0
708 Further CO₂ experimentsPlant species and normalized net CO₂ exchange

Compare plant species under identical lighting and normalize by leaf area or mass.

Statistics & probabilityGeometrySequences & series
3 6 1681112 210 0
709 Further CO₂ experimentsGermination stage and CO₂ release

Measure equal seed masses before, during, and after germination.

Functions & modelling
3 9 11112 23620 0
710 Further CO₂ experimentsTemperature and CO₂ degassing from a beverage

Compare equal beverage samples at different temperatures.

Functions & modelling
3 9 11112 3620 1
711 Heat transfer and temperature profilesContainer material and cooling constant

Compare metal, glass, ceramic, and plastic containers of similar geometry.

Functions & modellingDifferential equationsStatistics & probabilityRegressionGeometry
3 2 1381112 231320 1
712 Heat transfer and temperature profilesSurface-area-to-volume ratio and cooling

Use differently shaped containers holding equal liquid volumes.

Functions & modellingDifferential equationsRegressionGeometry
3 2 131112 313 1
713 Heat transfer and temperature profilesLid opening and heat loss

Vary the open area of a lid on an otherwise identical container.

Functions & modellingDifferential equationsGeometryAlgebra
3 2 131112 320 1
714 Heat transfer and temperature profilesStirring speed and heat transfer

Stir a warm liquid at several controlled speeds.

Functions & modelling
3 9 131112 31220 1
715 Heat transfer and temperature profilesAir speed and convective cooling

Direct different fan speeds at the same warm object.

Functions & modellingRegressionAlgebra
3 6 131112 3121320 1
716 Heat transfer and temperature profilesSurface emissivity and radiative cooling

Compare identical containers with different surface finishes.

Functions & modellingDifferential equationsGeometry
3 2 131112 3420 1
717 Heat transfer and temperature profilesNumber of insulation layers

Wrap a container in zero to several identical insulation layers.

Functions & modellingDifferential calculusProofOptimisation
3 2 13101112 35 1
718 Heat transfer and temperature profilesWet surface and evaporative cooling

Vary the area of a wet cloth surrounding the same container.

Functions & modellingRegressionGeometry
3 6 131112 231318 1
719 Heat transfer and temperature profilesMass of a phase-change material

Use different masses of ice or a suitable cold pack.

Algebra
3 9 131112 23611 1
720 Heat transfer and temperature profilesTemperature profile along a metal rod

Moderately heat one end of a metal rod and measure temperature at several positions.

Functions & modellingDifferential equationsAlgebra
3 2 1361112 320 1
721 Oscillations, coupling, and chaosPendulum length and corrected period

Measure many periods for several pendulum lengths and estimate gg.

Functions & modellingDifferential equationsRegression
3 2 11112 1261320 0
722 Oscillations, coupling, and chaosRelease angle and pendulum period

Investigate small and larger release angles.

Functions & modellingDifferential equationsIntegral calculusTrigonometrySequences & seriesNumerical methods
3 2 131112 161320 1
723 Oscillations, coupling, and chaosPendulum-bob shape and air damping

Compare equal-mass bobs with different frontal areas.

Functions & modellingDifferential equationsGeometry
3 2 11112 2 0
724 Oscillations, coupling, and chaosFluid viscosity and pendulum damping

Oscillate a body in liquids of different viscosities.

Functions & modellingDifferential equationsAlgebra
3 2 11112 3 0
725 Oscillations, coupling, and chaosCoupling strength and energy transfer between pendulums

Couple two pendulums using springs of different stiffness.

Functions & modellingDifferential equationsAlgebra
3 2 11112 61517 0
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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