IB Mathematics · Complete topic list

900 topic ideas – page 34 of 36.

Topics 826 to 850 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
826 Safe human-participant investigationsPractice trials and typing speed

Repeatedly type the same neutral short text.

Optimisation
3 9 181112 312 0
827 Safe human-participant investigationsStance width and postural sway

Record body sway at different safe stance widths.

TrigonometryFourier analysis
3 2 1381112 1613 0
828 Safe human-participant investigationsWrist angle and grip force

Measure grip force at several comfortable wrist angles.

Functions & modellingDifferential calculusTrigonometryOptimisation
3 9 1381112 11520 0
829 Safe human-participant investigationsWalking speed and step length

Record normal walking at several comfortable speeds.

Functions & modelling
3 9 1381112 131220 0
830 Safe human-participant investigationsMetronome tempo and gait synchronization

Compare prescribed metronome tempos with actual step timing.

Functions & modelling
3 9 181112 611 0
831 Sport and motion analysisBasketball release and entry angles

Record shots from the same distance and determine release and entry angles.

Functions & modellingDifferential calculusStatistics & probabilityTrigonometryOptimisation
3 9 131112 17 1
832 Sport and motion analysisFootball launch angle and range

Record controlled ball launches at different angles.

Functions & modellingDifferential calculusRegressionTrigonometryOptimisation
3 9 1381112 157131720 1
833 Sport and motion analysisBall temperature and rebound height

Condition balls within safe moderate temperature ranges.

Algebra
3 9 131112 137 1
834 Sport and motion analysisBall pressure and coefficient of restitution

Use a ball within its permitted pressure range.

Functions & modellingRegressionSequences & series
3 6 131112 1713 1
835 Sport and motion analysisSpin and table-tennis rebound angle

Generate reproducible topspin or backspin.

Functions & modellingRegressionTrigonometryGeometry
3 6 12381112 171213 1
836 Sport and motion analysisGear ratio and cycling cadence

Use different gear ratios at constant safe speed.

Trigonometry
3 9 131112 67812 1
837 Sport and motion analysisTake-off angle and standing-jump distance

Analyse safe normal standing jumps using video.

Functions & modellingTrigonometry
3 9 1231112 1720 1
838 Sport and motion analysisRope length and maximum skipping frequency

Vary skipping-rope length within a comfortable range.

Functions & modellingDifferential calculusTrigonometryGeometryOptimisation
3 9 131112 136720 1
839 Sport and motion analysisStroke rate and rowing-ergometer power

Use short moderate intervals with the same participant.

Functions & modellingDifferential calculusTrigonometryOptimisation
3 9 13481112 367 1
840 Sport and motion analysisThrowing distance and dart dispersion

Use a safe soft-dart setup at several distances.

Functions & modellingStatistics & probabilityGeometry
3 6 1381112 1720 1
841 Further magnetic-field experimentsThree-dimensional field map of a bar magnet

Measure the field on a regular spatial grid.

Functions & modellingVector mathematicsNumerical methods
3 9 1681112 1320 0
842 Further magnetic-field experimentsAxial and equatorial magnetic field

Measure at equal distances along axial and equatorial directions.

Vector mathematics
3 9 11112 117 0
843 Further magnetic-field experimentsMagnet temperature and field strength

Test a permanent magnet over a moderate safe temperature range.

Functions & modellingDifferential equationsVector mathematics
3 2 11112 317 1
844 Further magnetic-field experimentsCore material and solenoid field

Compare air core with suitable ferromagnetic cores.

Functions & modellingVector mathematics
3 9 11112 51720 0
845 Further magnetic-field experimentsAir gap in a magnetic circuit

Vary the gap between two magnetic-core sections.

Functions & modellingVector mathematicsGeometry
3 9 11112 13520 0
846 Further magnetic-field experimentsHysteresis loop of a soft magnetic material

Record magnetization while increasing and decreasing current.

Vector mathematicsGeometryNumerical methods
3 9 131112 513 0
847 Further magnetic-field experimentsShield geometry and magnetic-field attenuation

Compare different shielding geometries.

Functions & modellingRegressionVector mathematicsGeometry
3 6 11112 13 0
848 Further magnetic-field experimentsCoil spacing and Helmholtz-field uniformity

Vary separation between two equal coils.

Functions & modellingDifferential calculusVector mathematicsGeometryAlgebraOptimisation
3 9 131112 1 0
849 Further magnetic-field experimentsCoil radius and magnetic-field strength

Build equal-turn coils with different radii.

Functions & modellingVector mathematicsGeometry
3 9 1231112 15121720 0
850 Further magnetic-field experimentsSeparation and magnetic attraction force

Measure attraction force between two magnets using a scale.

Vector mathematics
3 9 11112 115 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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