A Level H2 Math Tuition
H2 Math Tuition Singapore
Odyssey Math Tuition offers H2 math tuition in Singapore for JC1 and JC2 students, at Hexacube, 160 Changi Road #01-02, Singapore 419728 — about 3 minutes from Eunos MRT. Lessons follow our MOE-aligned curriculum by founder Mr. Justin Tan (NUS Math), with a 24/7 e-learning portal for practice anytime. Start with a free trial class — WhatsApp +65 8512 6882.
Our JC H2 Math tuition works on concepts first and technique second, because at this level a formula applied without understanding tends to hold up until the question changes shape. The aim is a student who can read an unfamiliar question, recognise what it is really asking, and set out an argument clearly enough to be given the marks for it.
Practise with our free past-year exam papers or study the same syllabus at your own pace through our online math course. H2 Mathematics is taught across JC1 and JC2 — see our junior college math tuition overview. See our class schedule and fees, meet our math tutors, or read questions parents commonly ask.
Worried about not doing well in H2 Math?
Is H2 Math tuition needed? That depends on the student, and we would rather say so than pretend otherwise. What we do know is that the two hours of a lesson are not where most of the work happens. Mr Tan spends as much of his effort identifying where a student’s understanding has quietly broken as he does teaching the current chapter, and he stays available to students between lessons. For H2 Math, doing well comes down to applying the right concepts and putting in enough practice for the foundation to hold under pressure.
The jump from O-Level to H2
Almost every JC1 student describes the same experience. They did well at O-Level, they arrive in JC, and within a term the ground has shifted. The cause is rarely ability. H2 moves at lecture pace, assumes fluency that was never quite there, and asks for something O-Level mostly did not — an argument, written out, that a marker can follow.
The consequence is that students who could previously recover by working harder find that it stops working, because the problem is a gap rather than a shortfall in effort. Our first job is to locate it. A JC2 student struggling with integration techniques usually has an algebra or trigonometry issue underneath, and no amount of integration practice will resolve it.
How lessons run
Classes are small and taught by a dedicated tutor, which at H2 level matters mainly because it changes what a student is willing to admit they do not understand. We explain in plain language before formal notation, work through problems together in class, and look at the reasoning rather than only the final line. On an H2 paper the method carries most of the marks, and a student who can defend their working keeps marks even when an answer goes astray.
Enrolled students also get free 24/7 e-learning videos and quizzes built from our proprietary curriculum. They exist for the week between lessons — for the JC2 student rebuilding a JC1 topic without waiting for it to be timetabled again, and for the night before a test when a technique has gone. Fees are published and there are no hidden charges. Book a free trial class and see whether the way we teach suits your child.
Statistics, and the rest of the paper
Statistics is where confident students most often lose marks, and the reason is consistent: the computation is not usually the hard part. Choosing the right test, stating hypotheses precisely, and interpreting a result in the context of the question are what separate answers, and they are habits rather than knowledge. We teach them as habits — what to write first, what a conclusion must contain, what a distribution assumption commits you to.
Across the rest of the syllabus — calculus, vectors, sequences and series, complex numbers — the pattern is the same. Understand it, practise it under conditions, check honestly whether it held. For JC1 H2 Maths tuition that means building foundations properly while there is still time to. For JC2 H2 Math tuition it shifts towards prelim and past-year papers, where the skill being trained is finishing a full paper with composure rather than knowing more content.
Math tuition that provides
FREE e-learning for enrolled students
Affordable, no hidden charges, no registration and administrative fees.
First lesson is a trial. No obligations to continue!
Math resources for all the math help you need
Free online math videos (see below!) for our enrolled students, totally free.
Small class size of 6 to 8, no such thing as large classes.
We ensure that even after tuition, students still get their questions answered.
Hours of Development, Specially Curated For Our Math Students
Math Topical Videos, Topical Mock Papers, Exams and Crash Courses for Secondary Math (G2/G3/IP)
Math Topical Videos, Topical Mock Papers and Exams For H2 Math
Why H2 Math Tuition is Important
H2 Math is rigorous and moves fast, and memorisation runs out early. Students have to hold the concepts, apply them to problems they have not seen before, and set out their reasoning clearly enough for a marker to follow. The step up from O-Level is steep, and it catches out capable students as readily as struggling ones — which is why the right guidance early in JC1 matters more than extra hours in JC2.
Common Struggles Faced by Students
- Struggling to grasp abstract concepts like vectors, complex numbers, or integration techniques
- Unable to link different topics or apply concepts to unfamiliar questions
- Making careless mistakes due to weak understanding of foundational topics
- Losing confidence after repeated failures in tests and assignments
Many JC students face challenges transitioning into H2 Math. Some common issues include:
- Difficulty understanding abstract or multi-step concepts
- Trouble applying concepts to non-routine problems
- Frequent errors due to weak foundations
- Loss of motivation after repeated setbacks
Our Teaching Approach
Rote learning does not survive an H2 paper. At Odyssey Math Tuition we teach for understanding first, then target practice at whatever the understanding turns out to be missing. Lessons are structured to make hard concepts approachable, taken step by step and paced to the student rather than to the syllabus calendar.
What We Offer
Break down complex topics into manageable steps
Save time and improve retention with focused notes
Timed and topical questions to build exam readiness
Learn proven methods to tackle tough questions under pressure
results oriented
Why Odyssey Math?
Our aim with H2 Mathematics is that students can work through the full paper with composure rather than racing it. At Odyssey Math, students who follow our guidance and use the resources put themselves in a strong position to do so. Being results oriented means keeping a student engaged through the stretch where H2 feels relentless; steady encouragement is often what carries them past it. Sustained effort from the student, combined with our structure, is what produces the improvement.
Experienced and Qualified Math Tutor
Mr Tan graduated from NUS in 2018 with a mathematics degree awarded with distinction, and has coaching experience dating back to 2012, having begun one-to-one tuition immediately after national service. He has taught students who were failing and students who were already strong, which matters at H2 level where the difficulty is usually pace rather than ability. He understands how easily a JC lecture outruns a student, and manages the speed of each lesson, explaining concepts in straightforward language so the foundation is secure before the syllabus moves on.
Our H2 Math Tuition Structure
Our H2 Math tuition runs each topic through four phases. Students build conceptual understanding first, then practise in class where misconceptions surface and can be resolved on the spot. Homework is assigned and reviewed in the following lesson rather than simply collected. A topical test then checks whether the topic holds, and we review it together afterwards to resolve whatever the test exposed — because a weakness that is never checked for is a weakness that turns up at the A-Levels instead.
H2 Math Topics Covered
Basic Vectors
Vector Representation in 3D
Vector Calculations in 3D
Direction Cosines
Collinearity
Ratio Theorem
Coplanar Vectors
Scalar product of 2 vectors
Scalar product of 2 vectors and angles
Angle specified with 3 points
Perpendicular Vectors
Projection Vectors
Cross Product of 2 Vectors
Cross Product of Vectors For Perpendicular Distance
Geometric Interpretation
Vector Equation of Lines
Vector Equation of Planes
Parametric Equation of Planes
Standard Vector Equation of Planes
Foot of Perpendicular to a Line and Reflection
Distance From a Point to a Line
Foot of Perpendicular to a Plane and Reflection
Distance From a Point to a Plane
Angle between 2 Lines
Intersection of 2 Lines in 3D
Perpendicular Distance Between 2 Parallel Lines
Angle between a line and a plane
Intersection of a line and a plane
Line lies on a plane
Length of projection of line onto a plane
Angle between 2 planes
Intersection between 2 planes
Perpendicular Distance Between 2 Parallel Planes
Domain and Range
Vertical Line Test
Periodic Functions
Composite Functions
Inverse Functions
Solving Point of Intersection of Function and its Inverse
Self-Inverse Functions
Graph of Ellipses
Graph of Hyperbolas
Graph of Rational Functions
Graph of Quadratic over Linear
Axis of Symmetry
Asymptotes
Transformations
System of Linear Equations
Solving Equations
Properties of Inequalities
Modulus Function
Representing Intervals
Solving Inequalities
Sequence
Series
Method of Difference
Standard Series
Convergence and Sum to Infinity
Arithmetic Progression and Series
Geometric Progression and Series
Complex Numbers
Four Operations of Complex Numbers
Conjugate of a Complex Number
Equality of Complex Numbers
Complex Number Equations
Simultaneous Equations involving Complex Numbers
Conjugate roots of a Polynomial Equation with Real Coefficients
Argand Diagram
Polar Form
Argument of z
Euler’s Formula
Multiplication and Division of two complex numbers
Conjugate in Polar and Exponential Form
Properties of Modulus and Argument
Differentiation from First Principles
Rules of Differentiation
Derivatives of Common Functions
Interpretation of First Derivative
Interpretation of Second Derivative
Nature of Stationary Points
Graph of Gradient Function
Implicit Differentiation
Parametric Equations
Parametric Differentiation
Tangents and Normals
Maxima and Minima
Connected Rates of Change
Maclaurin Series
Standard Series Expansion 1
Standard Series Expansion 2
Standard Series Expansion 3
Standard Series Expansion 4
Standard Series Expansion 5
Approximation using Maclaurin Series
Small Angle Approximation
Maclaurin Series for other functions
Basic Rules of Integration
Why is there a Modulus for ln
Basic Form and General Form
Identities and Double Angle Formula
Factor Formula
Definite Integrals
Integration using Substitution
Integration by Parts
Definite Integral as Limit of Summation
Definite Integral in Finding area under curve
Definite Integral in finding Volume of Revolution
Differential Equations
Solving Differential Equations
Solving Differential Equations by Substitution
Formulation of Differential Equations
The Addition Principle
The Multiplication Principle
Combinations
Permutations
Circular Permutations
Practice Questions
Random Experiments
Properties of Sets
Probability
Probability Distribution
Mutually Exclusive Events
Conditional Probability
Independent Events
Probability Tree
Probability Examples
Random Variables
Discrete Random Variables
Expectation of Discrete Random Variables
Functions of Discrete Random Variables
Variance and Standard Deviation of Discrete Random Variable
Linear Combination of Independent Random Variables
Binomial Experiment
Binomial Random Variable
Binomial Distribution
Continuous Random Variable
Normal Distribution
Normal Curve and its Properties
Normal Probabilities and GC Use
Inverse Normal and GC Use
Standard Normal Distribution
Properties of Expectation and Variance of Random Variables
Properties of Independent Normal Random Variables
Random Variable 2X vs X1 + X2
Normal Distribution Practice Questions
Population and Sample
Random and non-random sampling
Population mean and population variance
Random sample of size n and sample statistics
Estimates of Population Parameters
Use of GC to find unbiased estimates
Sample Mean as a Random Variable
The Distribution of the Sample Mean
Sampling from a Normal Population
Central Limit Theorem
Null and Alternative Hypothesis
Level of Significance
Test Statistics
Critical Value and Critical Region
p value
z value
Hypothesis Tests on Population Mean
Hypothesis Testing Practice Questions
Relationship between variables
Scatter Diagram
Interpreting Scatter Diagram
Product Moment Correlation Coefficient
Product Moment Correlation Coefficient Properties
Correlation does not imply Causation
Linear Regression
Application and Interpretation
Linearization of Data
