One platform.
Different academic systems.
Mathematics, statistics and computing are global disciplines, but learners encounter them through different qualifications, terminology and academic structures. Our learning routes are designed to recognise those differences.
The subject stays the same. The educational context changes.
A derivative is still a derivative and regression is still regression, but the route through these ideas can differ by curriculum, qualification and academic stage.
Terminology
Familiar academic languageQualifications, year groups, course names and assessment language differ between education systems.
Curriculum depth
Different expectationsSimilar topics may appear at different stages or be taught with different levels of mathematical depth.
Assessment
Different academic demandsExamination style, coursework expectations and qualification structures vary across regions.
Progression
Different routes forwardSchool qualifications connect differently to university, professional and postgraduate study around the world.
Explore learning in your context.
Select the region closest to your academic system. International learners can use the International / IB route where a country-specific pathway is not appropriate.
United Kingdom
Curriculum-aware learning routes for school qualifications and UK university study across quantitative and computational subjects.
United States
Structured support for US high school, Advanced Placement, college and graduate-level quantitative learning.
Canada
Flexible learning routes for Canadian secondary, college and university students across major quantitative subjects.
Australia
Support for Australian senior-secondary qualifications and university-level quantitative and computational study.
New Zealand
Structured learning routes for NCEA learners and New Zealand tertiary students.
Ireland
Support from secondary mathematics and computing through undergraduate and postgraduate university study.
International / IB
Globally relevant learning pathways for IB students and English-medium learners around the world.
Five disciplines. Globally useful foundations.
The academic context may differ, but these quantitative and computational disciplines remain strongly connected across education systems.
Statistics
Probability, inference, modelling and real-world decision making.
Mathematics
From algebra and calculus to proof, linear algebra and optimisation.
Data Science
Python, R, SQL, visualisation, machine learning and real projects.
Bioinformatics
Genomics, transcriptomics, single-cell, spatial and computational biology.
Computer Science
Programming, algorithms, software, databases, systems and artificial intelligence.
Curriculum matters most at school level.
School learners are often preparing for a specific qualification, so terminology, topic sequencing and assessment style become especially important.
Explore High School learningUnderstand whether the learner is working towards a national, state, provincial or international qualification.
Build mathematical and computational understanding that remains useful beyond one examination.
Connect conceptual understanding with the style of reasoning expected in the learner's academic system.
University learners increasingly need support around the content of a particular module or technical area.
Statistical, mathematical and computational methods become more transferable across countries.
At postgraduate level, methodological reasoning and technical capability often matter more than a national syllabus.
Academic systems converge as learning becomes more specialised.
At university and postgraduate level, learners increasingly work with common theories, methods, software and research practices across international institutions.
Studying outside these systems?
Use the International / IB route as the closest general academic framework, or start directly from your subject and current learning level.
Curriculum alignment is not the same as curriculum ownership.
My Academic Tutor can organise learning around recognised educational systems without claiming endorsement, affiliation or official status with examination boards, universities or national education authorities.
Make it easier for learners to identify the level and academic context relevant to them.
Connect courses and resources to the ideas commonly encountered within a qualification or academic stage.
Never imply that an examination board, university or government body officially approves the platform unless a real partnership exists.
Teach durable mathematical and computational understanding rather than exam tricks alone.
Choose your system.
Then choose what you want to learn.
Use a regional route when curriculum context matters, or move directly into a subject, course or learning pathway.