How Much Maths Does Economics Need?

The maths and statistics used in economics, from basic algebra to calculus and econometrics, and how much different careers require.

Modern economics uses mathematics and statistics extensively. How much you need depends on your path.

Basic level

For understanding economics and many careers:

Algebra: equations and graphs.
Percentages, ratios and growth rates.
Basic statistics: averages, variation, correlation.

Intermediate level

For undergraduate economics and most analytical jobs:

Calculus: to understand marginal changes, optimisation and elasticity.
Probability and statistics.
Econometrics: regression analysis to study relationships in data.
Spreadsheets and statistical software.

Advanced level

For postgraduate study, research and PhDs:

Advanced calculus, linear algebra and real analysis.
Advanced econometrics.
Programming: languages like R, Python or Stata.

Don’t be scared

Many successful economists built their maths skills gradually.
Intuition and clear thinking matter as much as technical skills.
Many policy and communication roles need strong reasoning more than advanced maths.

Accessible maths

Tools like screen-reader-friendly maths formats (such as MathML), audio graphs and accessible statistical software make quantitative work more accessible to blind and low-vision students.

The regression

A student wants to know whether more years of schooling are linked to higher wages. Using a dataset and a simple regression in software, she estimates the relationship, learning how econometrics works.

Thinking you need to be a maths genius to study economics

Many economics paths need solid, not extraordinary, maths skills built step by step.

Key takeaways

Basic economics needs algebra, percentages and simple statistics.
Undergraduate economics adds calculus, probability and econometrics.
Research needs advanced maths and programming.
Accessible tools help blind and low-vision students do quantitative work.