30 math research topics accessible to high school students
Princeton Journal of Pre-Collegiate Research

Most high school students assume mathematical research is reserved for graduate students and professors. That assumption is wrong. Here are 30 math research topics accessible to high school students that require nothing more than curiosity, rigor, and the willingness to go deeper than the textbook.
Mathematics is one of the most democratized fields in academic research. You do not need a laboratory, expensive equipment, or institutional access to explore genuine open questions. You need a problem, a method, and the discipline to follow the logic wherever it leads. The topics below are organized by area, and each one is approachable at the pre-collegiate level with the right guidance and effort.
If you are looking for a structured starting point before diving into topics, the Mathematics Research How High School Students Can Contribute guide is an excellent first read. It covers methodology, framing, and what reviewers actually look for in student mathematical work.
Why Math Research Works for High School Students
Mathematical research rewards precision over prestige. A well-constructed proof or a carefully analyzed pattern does not become more valid because of who wrote it. Blind peer review treats your argument on its own terms (no school name, no country of origin, no credentials required). That is exactly the kind of meritocratic environment where strong student work rises.
You also do not need to solve an unsolved problem to produce publishable research. Extending a known result, applying an existing theorem to a new context, or conducting a rigorous computational investigation of a conjecture all qualify as original contributions. The bar is rigor and originality, not novelty for its own sake.
30 Math Research Topics Accessible to High School Students
Number Theory
Number theory is historically one of the most accessible areas for independent researchers. The problems are easy to state, the tools are within reach, and the field has centuries of open questions at every level of difficulty.
Goldbach's Conjecture for Small Ranges: Verify and document Goldbach representations for large even numbers using computational methods, then analyze the distribution of prime pairs.
Perfect Numbers and Their Properties: Investigate the relationship between even perfect numbers and Mersenne primes, and explore whether any odd perfect numbers exist within computable bounds.
Collatz Conjecture Analysis: Analyze stopping times for the Collatz sequence across different classes of integers and look for patterns in convergence behavior.
Fibonacci Numbers Modulo Primes: Explore the periodicity of Fibonacci sequences modulo various primes (known as Pisano periods) and investigate what determines cycle length.
Primitive Roots and Discrete Logarithms: Study the distribution of primitive roots modulo prime numbers and their implications for basic cryptographic structures.
Combinatorics and Graph Theory
Combinatorics rewards structured thinking and creative problem construction. Graph theory, in particular, connects naturally to real-world applications in networks, scheduling, and social systems.
Graph Coloring Problems: Investigate chromatic numbers for specific families of graphs and test the boundaries of the four-color theorem computationally.
Ramsey Theory for Small Cases: Compute Ramsey numbers for small graph configurations and analyze the combinatorial arguments that bound them.
Latin Squares and Sudoku: Study the mathematical structure of Latin squares, count distinct configurations for small orders, and connect results to combinatorial design theory.
Counting Paths in Grid Graphs: Derive and prove formulas for the number of shortest paths in rectangular grids with various obstacle configurations.
Tournament Graphs and Rankings: Analyze round-robin tournament structures, study conditions for unique winners, and explore connections to voting theory.
Geometry and Topology
Geometry offers rich visual intuition alongside formal rigor. Topology, while abstract, has entry points that are genuinely accessible with patience and the right resources.
Euler's Formula for Polyhedra: Prove Euler's formula (V - E + F = 2) for various classes of polyhedra and investigate when and why it fails for non-convex or non-simply-connected shapes.
Fractal Dimension Calculations: Compute the Hausdorff dimension of classic fractals like the Sierpinski triangle and Koch snowflake, and investigate self-similar structures you construct yourself.
Packing Problems: Investigate optimal circle packing in bounded regions and analyze the efficiency of different packing arrangements using area calculations.
Projective Geometry and Duality: Explore the duality principle in projective geometry and investigate how it transforms classical theorems like Desargues' theorem.
Knot Invariants for Simple Knots: Study basic knot invariants like the crossing number and unknotting number for small knots, and investigate when two knots are equivalent.
Probability and Statistics
Probability research connects mathematical rigor to empirical questions. This area also bridges naturally with fields like psychology, economics, and biology, making interdisciplinary work genuinely possible.
Random Walks on Graphs: Analyze the expected return time and coverage properties of random walks on different graph structures.
Birthday Problem Generalizations: Extend the classical birthday problem to non-uniform distributions and investigate how skewed probability distributions change the collision threshold.
Markov Chains and Steady States: Model a real-world system (weather patterns, board game positions) as a Markov chain and compute steady-state distributions analytically.
Central Limit Theorem Verification: Design a computational study that demonstrates CLT convergence for various non-normal distributions and measures the rate of convergence.
Bayesian Updating in Sequential Decisions: Construct a formal model of Bayesian belief updating and analyze how prior choice affects posterior conclusions in a defined decision problem.
Algebra and Abstract Structures
Abstract algebra is often avoided by students who have not yet taken it formally. That is a missed opportunity. The core ideas of groups, rings, and symmetry are accessible with self-study and yield rich research questions.
Symmetry Groups of Regular Polygons: Classify the dihedral groups associated with regular polygons, construct their Cayley tables, and prove key structural properties.
Modular Arithmetic and Cryptography: Investigate the mathematical foundations of RSA encryption, focusing on Euler's theorem and the structure of multiplicative groups modulo n.
Polynomial Roots and Galois Theory Basics: Study which polynomial equations are solvable by radicals for low-degree cases and explore the group-theoretic reasoning behind unsolvability for degree five and above.
Magic Squares and Linear Algebra: Analyze the structure of magic squares using matrix algebra and investigate conditions for existence and uniqueness across different orders.
Error-Correcting Codes: Study Hamming codes and their algebraic structure, then investigate how minimum distance determines error-correction capacity.
Applied and Computational Mathematics
Applied mathematics lets you connect rigorous theory to observable phenomena. Computational investigations are especially strong when paired with clear analytical framing (the computation supports the argument, not replaces it).
Numerical Methods for Differential Equations: Compare Euler's method, Runge-Kutta, and other numerical solvers for a defined ODE and analyze error accumulation across step sizes.
Game Theory and Nash Equilibria: Formalize a real-world strategic interaction as a game, compute Nash equilibria, and analyze whether the equilibrium outcome is socially optimal.
Voting Systems and Arrow's Impossibility Theorem: Investigate the mathematical conditions of Arrow's theorem and test different voting systems against his fairness criteria using constructed election examples.
Network Centrality Measures: Compute and compare degree, betweenness, and eigenvector centrality for real or constructed networks and analyze what each measure reveals about network structure.
Mathematical Modeling of Population Dynamics: Build and analyze a discrete-time population model (logistic growth, predator-prey) and investigate how parameter changes affect long-term behavior.
How to Turn a Topic Into a Research Paper
Choosing a topic is only the beginning. The research process requires a clear question, a defined methodology, and a written argument that stands on its own. Start with a specific question rather than a broad area. "What determines the Pisano period for a given prime?" is a research question. "Fibonacci numbers" is not.
A strong research paper outline gives your work structure before you write a single sentence of prose. The Research Paper Outline Template High School Students resource walks through exactly how to frame a mathematical argument for an academic audience. Use it before you start writing, not after.
If your project requires a formal proposal before you begin (common in school-sponsored research programs), the Research Proposal Example For High School Students shows what a well-structured proposal looks like in practice.
Connecting Math Research to Other Fields
Several of the topics above connect naturally to other disciplines. Game theory intersects with economics and political science. Population modeling overlaps with biology. Probability and statistics underpin psychology research. If your interests span multiple areas, interdisciplinary framing can strengthen your paper rather than dilute it.
For students exploring adjacent fields alongside mathematics, the following resources offer comparable topic depth. The 50 Biology Research Topics For High School Students guide covers quantitative biology questions that pair well with modeling work. The 40 Economics Research Topics For High School Students list includes several topics where mathematical formalization adds significant value.
Students interested in the social dimensions of mathematical structures may also find the Sociology Research Ideas For High School Students guide useful, particularly for topics involving network analysis or voting theory applied to social systems.
Where to Publish Your Math Research
Completing a rigorous research paper deserves a rigorous publication venue. Princeton JPCR accepts original mathematical research from high school students across all the areas listed above. Every submission undergoes double-blind peer review (your name and school are never visible to reviewers). Every accepted paper receives a DOI, making it permanently citable and findable by anyone searching the literature.
Some students ask whether platforms like ResearchGate are appropriate for pre-collegiate work. The Can High School Students Use Researchgate post addresses that question directly. The short answer: a peer-reviewed journal with DOI assignment is a stronger credential than a preprint repository, and it signals that your work passed independent scrutiny.
Exceptional student research deserves an exceptional platform. A paper that demonstrates original mathematical thinking, rigorous proof, and clear academic writing belongs in a venue that treats it with the seriousness it earned.
Conclusion: Start With One Question
This list of 30 math research topics accessible to high school students is a starting point, not a checklist. Pick one topic that genuinely interests you. Narrow it to a specific question. Build a methodology. Write with precision. That process, repeated with discipline, produces research worth publishing.
Mathematics rewards the student who refuses to stop at the surface. Every topic above has depth that textbooks never reach. Your job is to go there, document what you find, and argue your conclusions with rigor. The field will take your work seriously if your work takes itself seriously.
Browse the full Blogs library for additional research guides across disciplines, and when your paper is ready, submit it to Princeton JPCR for peer review. You leave a better researcher than you arrived.
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