IB Mathematics · Complete topic list

900 topic ideas – page 32 of 36.

Topics 776 to 800 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
776 Light, optics, and image formationAperture and depth of field

Photograph an angled scale using different apertures.

Functions & modellingRegressionTrigonometryGeometry
3 6 121112 1710111320 0
777 Light, optics, and image formationSlit width and diffraction pattern

Illuminate single slits of different widths using suitable school equipment.

Functions & modellingDifferential calculusGeometry
3 9 141112 7102021 2
778 Light, optics, and image formationGrating spacing and diffraction angle

Compare diffraction gratings with different line densities.

TrigonometryGeometryAlgebra
3 9 161112 1710 0
779 Light, optics, and image formationDye concentration and light transmission

Measure transmission through safe dye solutions.

Functions & modellingRegressionGeometryAlgebra
3 6 131112 710131620 0
780 Light, optics, and image formationOptical-fibre bend radius and light loss

Bend a plastic optical fibre to defined radii.

Functions & modellingGeometry
3 9 181112 12371020 0
781 Solar and renewable energySolar-panel tilt angle

Measure a small panel at different tilt angles.

Functions & modellingDifferential calculusTrigonometryOptimisation
3 9 131112 1351020 0
782 Solar and renewable energyAzimuth angle and solar output

Rotate the panel horizontally relative to the light source.

TrigonometryGeometry
3 9 11112 13510 0
783 Solar and renewable energyPanel temperature and electrical power

Measure panel voltage and output over a moderate temperature range.

Functions & modellingRegression
3 6 11112 351013 1
784 Solar and renewable energyShaded fraction and solar output

Cover defined fractions of a small solar panel.

Geometry
3 9 11112 3510 0
785 Solar and renewable energyShading position and output

Shade different cell regions while keeping shaded area constant.

Functions & modellingStatistics & probabilityGraph theoryGeometry
3 6 11112 35101320 0
786 Solar and renewable energyDust coverage and solar yield

Apply reproducible dust coverage to a protective film above the panel.

Functions & modellingRegressionGeometry
3 6 11112 51013 0
787 Solar and renewable energyReflector geometry and focal concentration

Compare small reflector geometries under low-power illumination.

Statistics & probabilityGeometry
3 6 11112 351016 0
788 Solar and renewable energyReflector angle in a model solar cooker

Vary reflector angles around a small model container.

Functions & modellingDifferential calculusTrigonometryGeometryOptimisation
3 9 131112 1351020 1
789 Solar and renewable energyTemperature difference and thermoelectric voltage

Measure voltage at different temperature differences.

Functions & modellingStatistics & probabilityRegression
3 6 131112 351013 1
790 Solar and renewable energyBlade pitch of a small wind turbine

Test model rotors at different blade pitches.

Functions & modellingDifferential calculusTrigonometryGeometryOptimisation
3 9 131112 135101220 0
791 Reaction rates, diffusion, and solutionsTemperature and effervescent-tablet dissolution

Measure the full mass or volume trajectory rather than only total time.

GeometryAlgebra
3 9 1381112 23671216 0
792 Reaction rates, diffusion, and solutionsTablet surface area and reaction rate

Compare whole, divided, and crushed tablets of equal mass.

Functions & modellingGeometryAlgebra
3 9 131112 2121620 1
793 Reaction rates, diffusion, and solutionsInitial concentration and reaction order

Use a safe school reaction measurable by colour or conductivity.

Functions & modelling
3 9 141112 111216 1
794 Reaction rates, diffusion, and solutionsCatalyst amount and oxygen production

Use dilute peroxide with a suitable catalase source under school supervision.

Functions & modellingDifferential calculus
3 9 13461112 12162021 2
795 Reaction rates, diffusion, and solutionsConcentration and titration-curve shape

Record the complete pH curve of a safe acid–base titration.

Functions & modellingDifferential calculusGeometryAlgebra
3 9 131112 11121621 2
796 Reaction rates, diffusion, and solutionsTemperature and diffusion coefficient in agar

Measure dye-front radius in agar at different temperatures.

Geometry
3 9 11112 131216 0
797 Reaction rates, diffusion, and solutionsSupersaturation and crystal growth

Photograph safe crystals at different initial concentrations.

Functions & modellingNumber theoryGeometryAlgebra
3 9 12101112 1711121620 1
798 Reaction rates, diffusion, and solutionsTemperature and solubility

Determine maximum solubility at several temperatures.

Functions & modellingDifferential calculusAlgebraOptimisation
3 9 11112 3121620 0
799 Reaction rates, diffusion, and solutionsSalt concentration and conductivity

Create a calibration series extending into the nonlinear range.

Functions & modellingRegressionSequences & series
3 6 11112 1112131620 0
800 Reaction rates, diffusion, and solutionsIllumination time and dye degradation

Expose safe dye solutions to standardized light.

Functions & modellingRegression
3 6 131112 610121316 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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