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Women in STEM Data 11 min read

Engineering’s Missing Half

Women make up only around one in five Engineering and Technology undergraduates in England. The gap begins long before university — but the most revealing evidence may be what happens to women who already have the subjects that can lead them there.

Engineering is everywhere.

It shapes the bridges we cross, the aircraft we fly in, the medical devices used in hospitals, the energy systems being redesigned for a low-carbon future and much of the technology embedded in ordinary life.

Women engineers are not nearly as common.

In 2023–24, women represented just 19.1% of undergraduate students in Engineering and Technology in the ten subject groups tracked by the She Invented That Statistics Observatory.

Fourteen years earlier, in 2010–11, the figure was 14.4%.

Female representation has therefore risen by 4.7 percentage points. In the latest year of the dataset, approximately 21,640 female undergraduates were studying Engineering and Technology.

That is real progress.

It is also still roughly one woman for every four students in the subject.

But those numbers alone do not reveal the most interesting part of the engineering gender gap.

To find that, we need to look at what happens before students arrive at university.

THE 23% AND THE 8%

EngineeringUK examined what happened to students who studied Mathematics and/or Physics at A level.

Among male students with those subjects, 23% progressed into Engineering and Technology undergraduate study.

Among female students with the same subjects, only 8% did.

That difference changes the question.

The engineering gender gap is not simply a supply problem. There is a conversion gap too.

Even among students who have already taken Mathematics and/or Physics at A level, women progress into Engineering and Technology at a much lower rate than men.

The potential engineering student exists.

She has taken a subject associated with the pathway.

She has reached the point at which engineering is a plausible university destination.

And, much more often than her male counterpart, she chooses something else.

Why?

THE GAP BEGINS BEFORE UNIVERSITY

The conversion gap is not the only problem.

The pathway has already begun narrowing earlier.

At GCSE level, girls are not remotely absent from the subjects that might lead towards engineering. EngineeringUK's recent figures show girls account for around half of students taking GCSE Mathematics and Physics.

By A level, the picture looks different.

In 2026, female students accounted for approximately 37% of Mathematics entries and 24% of Physics entries. They were also underrepresented in Further Mathematics, Design and Technology and Computing.

So there is clearly a subject-participation problem.

Fewer girls enter some of the educational routes traditionally associated with engineering.

But increasing participation in those subjects would not necessarily eliminate the engineering gap.

Consider students who took both Mathematics and Physics at A level.

For this group, Engineering and Technology was the most common higher-education destination in EngineeringUK's analysis.

Yet the gender difference remained.

Among these students, 39% of men chose Engineering and Technology compared with 29% of women.

This matters because two different processes are often collapsed into one.

First, fewer girls progress into some of the subjects associated with engineering.

Second, even among women who have those subjects, engineering attracts a smaller proportion than it does among comparable men.

Nor is there an obvious case that girls simply lack the academic ability required for engineering.

Girls participate heavily in Mathematics and Physics earlier in school, and EngineeringUK has highlighted that girls perform as well as, and in some contexts outperform, boys in relevant subjects.

The more interesting question is therefore not simply whether girls can do engineering.

It is why fewer choose the educational routes leading towards it — and why engineering attracts a smaller proportion of those who do.

DOES ENGINEERING LOOK LIKE A PLACE FOR WOMEN?

Ask someone to picture an engineer and what appears?

A hard hat?

A construction site?

An engine?

A man repairing machinery?

These images represent genuine forms of engineering.

They also represent an extraordinarily narrow slice of the profession.

Engineering includes renewable-energy systems, prosthetics, spacecraft, water infrastructure, medical devices, robotics, semiconductors, transport networks, advanced materials and communications.

The question is therefore not merely whether young women know engineering exists.

It is whether they imagine it as something people like them do.

Recent EngineeringUK data illustrate the scale of this identity gap.

Only 12% of girls said that being an engineer fitted well with who they were, compared with 38% of boys.

Just 16% of girls thought engineering was suitable for them, compared with 44% of boys.

These figures require care.

They do not prove that stereotypes cause the university gender gap.

A survey about identity cannot establish why an individual chooses one degree rather than another.

But it does reveal something important about the environment in which those choices are made.

A profession can be technically available while still feeling culturally distant.

And that matters particularly when engineering is competing for students who have many other options.

A mathematically capable student does not have to become an engineer.

She might choose Medicine, Computer Science, Economics, Mathematics itself, Physics, Architecture or something else entirely.

The engineering question is therefore partly competitive: when students have the qualifications to enter engineering, how attractive does engineering look compared with the alternatives?

FOURTEEN YEARS OF PROGRESS — BUT HOW MUCH?

The higher-education trend is moving in the right direction.

In the She Invented That dataset, female representation among Engineering and Technology undergraduates at English higher-education providers rose from 14.4% in 2010–11 to 19.1% in 2023–24 — an increase of 4.7 percentage points.

That movement should not be dismissed simply because parity remains distant.

Thousands of women now occupy engineering lecture theatres, laboratories and design projects. Each graduating cohort expands the population of potential engineers, researchers, lecturers, managers and future role models.

But the pace deserves attention.

A field can improve and remain profoundly imbalanced at the same time.

Engineering demonstrates this particularly clearly.

A rising line on a graph looks reassuring.

Its endpoint may be considerably less so.

THERE ISN’T ONE ENGINEERING GENDER GAP

Even 19.1% conceals something important.

“Engineering and Technology” is not really one discipline.

A student designing chemical processes is doing something very different from someone studying aerospace structures or electronic circuits.

And the gender balance varies substantially between those fields.

EngineeringUK's recent figures for first-year engineering undergraduates show female representation of approximately 29% in Chemical, process and energy engineering; 22% in Civil engineering; 21% in General engineering; 14% in Aeronautical and aerospace engineering; 14% in Electronic and electrical engineering; 12% in Mechanical engineering; and 11% in Production and manufacturing engineering.

Once again, the average hides the interesting part.

There is not even one engineering gender gap.

There are several.

A woman considering Chemical Engineering encounters a field with a noticeably different student population from one considering Mechanical Engineering.

Why those patterns differ requires more detailed evidence than enrolment statistics alone can provide.

But the differences themselves matter.

Simply getting more women “into engineering” is too crude a description of the problem.

Where they enter matters too.

A NETWORK OF BRANCHING ROADS

Engineering is often described using the metaphor of a leaky pipeline.

Students enter at one end. At different stages, women leave. Eventually too few emerge into the profession.

The metaphor captures something real: representation at one stage affects the population available for the next.

But the evidence suggests engineering looks less like one leaking pipe and more like a network of branching roads.

A student might take Mathematics but not Physics. She might take both and choose Medicine. She might discover engineering through Design and Technology. She might enter through an apprenticeship rather than university.

She might choose Chemical Engineering rather than Mechanical Engineering. She might study engineering and later work in a role classified under another occupation. She might enter the profession and subsequently leave it.

At every junction, the population changes.

And university is only one road.

Recent EngineeringUK figures report that girls account for around 12% of Engineering and Technology T Level students, while women represent about 20% of engineering and technology apprenticeship starts.

The imbalance therefore cannot be explained as an isolated feature of university education.

It extends into employment too.

EngineeringUK estimates that women currently make up around 17% of the engineering and technology workforce, compared with 56% in other occupations.

These numbers should not be treated as one continuous statistical series. School students, undergraduates, apprentices and workers represent different populations and cohorts.

But together they reveal why the pipeline metaphor is inadequate.

Engineering does not have one point at which women disappear.

It has multiple junctions at which women and men take different routes.

The reasons for those decisions may not be the same.

And that means there may be no single intervention capable of producing gender balance.

WHAT WOULD ACTUALLY HAVE TO CHANGE?

“Encourage more girls into engineering” sounds sensible until one asks what it means operationally.

Encourage them when?

At primary school, before occupational identities become firmly established? At GCSE? At A level, when Mathematics and Physics choices begin narrowing routes? During university applications? During apprenticeships? At recruitment? During the first years of employment?

These stages cannot be treated as interchangeable.

If the problem is A-level Physics participation, an intervention aimed at university applicants arrives late.

If mathematically qualified women disproportionately choose other degrees, increasing school attainment alone will not solve it.

If Mechanical Engineering attracts far fewer women than Chemical Engineering, a generic engineering campaign may conceal precisely the variation policymakers need to understand.

And if women enter engineering but do not remain in the workforce, recruitment is only part of the problem.

The question should therefore change from “How do we get more girls into engineering?” to “At which decision points are women disproportionately taking another route — and what is happening at each one?”

That requires more precise interventions.

Role models may matter, particularly when girls report that engineering does not feel like a profession for people like them.

Careers education can reveal the extraordinary range hidden behind the word engineer. A teenager uninterested in engines might be fascinated by prosthetic limbs, climate technology, spacecraft or medical imaging.

But representation campaigns cannot carry the entire problem.

A photograph of a woman in a hard hat cannot change university prerequisites. A school visit cannot by itself alter Physics A-level participation. A mentoring programme cannot explain every difference between Chemical and Mechanical Engineering.

And inspirational stories cannot substitute for measuring what happens afterwards.

Suppose 200 girls attend an engineering workshop. Was it successful?

Perhaps.

But attendance is the beginning of the measurement, not the end.

Did participants understand engineering differently afterwards? Did more choose relevant GCSEs or A levels? Did they apply for engineering courses? Did they enter apprenticeships? Did their interest persist?

Did the intervention work differently for students from different socioeconomic or ethnic backgrounds?

Without questions like these, STEM outreach risks measuring activity rather than impact.

Good intentions matter. Outcomes matter more.

THE MISSING HALF ISN’T MISSING

Women are not a missing population waiting to be discovered.

They are already in the educational system.

They study Mathematics. They study Physics. Thousands study Engineering and Technology at university. Others enter technical education and apprenticeships.

Women design aircraft, bridges, medical devices, computer hardware, energy systems and materials.

The remarkable part is not that women are absent from engineering.

It is that their representation narrows at different points along different routes.

That changes the problem.

It also changes the way we should think about solutions.

Instead of treating engineering as a single pipeline and asking how to push more women through it, we can ask what happens at each junction.

Who reaches it? What options do they have? Which route do they choose? And where do the patterns for women and men begin to diverge?

WHY DID THE OTHER ROAD LOOK BETTER?

The She Invented That data show that engineering has changed.

Female representation among Engineering and Technology undergraduates increased from 14.4% in 2010–11 to 19.1% in 2023–24.

But the wider evidence shows why that single trend cannot explain the problem.

The gap begins before university. It persists among students who have already taken Mathematics and Physics. It differs dramatically between engineering disciplines. It appears in technical education and apprenticeships. And it continues into the workforce.

There is no single moment when engineering loses its missing half.

There are choices, junctions and alternative destinations.

Women are already on the roads that can lead to engineering.

The most important question for engineering is not how to persuade them to turn around, but why the other road looked better.

Explore the data

The She Invented That Statistics Observatory tracks female student numbers and representation across ten selected undergraduate subject groups at English higher-education providers from 2010–11 to 2023–24.

Compare Engineering and Technology with Computing, Mathematics, Physical Sciences, Medicine and other fields to see how differently the gender balance has evolved.

Method note

She Invented That's higher-education figures in this article refer to the selected Engineering and Technology subject grouping in the site's Office for Students dataset.

The ten disciplines in the Observatory are a She Invented That selection rather than an official definition of STEM.

Population data describe participation and representation; they cannot, on their own, establish why students make particular educational or career choices.