Choose a subject.
Build real understanding.
Start with the discipline you want to master, then choose the level and pathway that fit your goals. Learn from school foundations through advanced university and professional applications.
Five subjects designed to work together.
Each discipline has its own learning routes, but the platform is intentionally connected. Mathematics supports statistics. Statistics powers data science. Computing enables bioinformatics. You can move across them as your goals evolve.
Statistics
Build statistical intuition from first principles and progress to modern modelling, causal inference, survival analysis, epidemiology and research applications.
Mathematics
Develop the mathematical language behind science, statistics, engineering and computing through visual explanations, rigorous reasoning and purposeful practice.
Data Science
Learn the complete data workflow—from cleaning and exploration to modelling, visualisation, machine learning, communication and reproducible portfolio projects.
Bioinformatics
Bridge biology, statistics and computing with practical workflows for sequencing data, genomics, transcriptomics, single-cell analysis and modern multi-omics research.
Computer Science
Learn to program, reason about algorithms and understand the systems that power modern computing—from beginner foundations to advanced software and artificial intelligence.
The strongest learners see the connections.
Quantitative and computational subjects rarely exist in isolation. My Academic Tutor is designed so you can build across disciplines rather than treating every course as a separate island.
Algebra, calculus, probability and linear algebra provide the foundations for modern statistical modelling.
Statistical reasoning turns machine learning and data analysis from button-clicking into informed decision making.
Programming, algorithms and databases make it possible to work with data efficiently and build scalable analytical tools.
Modern genomics, transcriptomics and multi-omics depend on statistical reasoning and computational workflows.
The same subject can mean very different things at different levels.
Instead of mixing beginner and advanced material together, every discipline is organised by academic stage and learning goal.
High School
Build confidence earlyClear explanations, exam-ready practice and curriculum-aware learning for GCSE, A-Level, AP, IB and equivalent programmes.
02Undergraduate
Master university modulesStructured learning for lectures, problem sheets, assignments, examinations and deeper conceptual understanding at university level.
03Postgraduate
Go beyond the textbookAdvanced methods, specialist topics, research workflows and technical support for MSc, MRes, doctoral and professional study.
04Learn for Yourself
Skills without the pressureCareer development, curiosity, refreshers and practical projects—learn useful quantitative and computational skills at your own pace.
Choose by what you want to achieve.
You do not need to know the perfect course before you begin. Start with the goal closest to yours and refine your route from there.
Start with Mathematics.
Start with Statistics.
Start with Data Science.
Start with Bioinformatics.
Start with Computer Science.
Use the Learning Path Finder.
Every subject can also be supported by an expert tutor.
Use structured learning independently, then get human support for difficult concepts, assignments, exam preparation, coding, projects or research.