Universities should accept equal numbers of male and female students in every subject. To what extent do you agree or disagree?

This policy, which requires universities to accept equal numbers of men and women in every subject, is well intended, seeking to promote fairness and gender inclusivity in higher education. However, equal access to education does not guarantee equal outcomes, and rigidly enforced gender representation across all disciplines fails to deliver genuine fairness. Therefore, I completely disagree with this proposal because it is illogical and potentially counterproductive.

For this equal-quota policy to work, two preconditions would need to be satisfied. First, the applicant pool must be gender-balanced before admission 1to achieve an equitable cohortto ensure a gender-balanced cohort. Second, students’ subject choices need to be evenly distributed by gender. Unfortunately, neither of these conditions can reliably be met within real education systems.

This policy is unworkable in practice, since universities cannot overcome the natural barriers that 2render this rigid gender quota unfeasiblemake its rigid gender target unrealistic. Where religious or cultural norms restrict female schooling, there is an acute shortage of female candidates for certain university degrees. Even in societies where educational rights are formally recognised, this target remains difficult to attain. Since admissions prioritise academic merit over gender parity, variations in entry criteria and subject demand naturally 3produce a gender imbalanceproduce gender imbalance. For instance, engineering attracts more male applicants, while 4nursing draws more women, regardless of impartial entry metrics. Such unevennursing draws more women, even when assessment rules are entirely impartial. These uneven applicant pools make a gender-balanced intake exceedingly difficult to achieve.

5Even if these practical barriers were overcome, compulsory gender quotas would still be counterproductive, as they erode fairness by overriding individual choice.

Those in favour of the policy argue that 6strict numerical quotasfirm numerical targets are the most effective way to 7dismantle entrenched institutional biasremove deep institutional bias. They maintain that grade-only admissions will perpetuate long-standing gender gaps, because hidden prejudice and social conditioning subtly steer men and women toward separate fields. From their perspective, only quotas force institutions to prioritise representation and accelerate cultural change.

Admittedly, quotas do challenge outdated stereotypes, such as the assumption that nursing 8is suited primarily to womenbelongs to women and mechanical engineering is male-dominated. Even so, this policy confuses equality of outcome with equality of opportunity and carries substantial downsides. Shaped by personality, 9career plans, and deep-rootedcareer plans and deep-rooted social influences, individual subject preferences sustain these gender divides. 10Such measures offer only short-term benefits while disregarding personal preferenceSuch measures offer only short-term benefits and weaken genuine equality of opportunity. They disregard personal preference and may oblige universities to admit lower-scoring applicants or 11assign students to disciplines they are disinclined to pursueallocate students to subjects they have no wish to study. Instead, universities could run pre-university outreach programmes to break these stereotypes and encourage young people to explore fields traditionally dominated by one gender.

In summary, this mandatory parity policy remains both unrealistic and counterproductive, even though its goal of fairer higher education is admirable. Balanced representation depends on a mixed applicant pool and evenly spread subject 12preferences, two conditions that rarely coincidepreferences — two conditions that rarely coincide. Where educational disadvantage runs deep, targeted affirmative action can support vulnerable learners. True gender equity, however, rests on inclusive support and merit-based selection, rather than rigid enrolment figures.