
The 2027 batch is where most enterprise campus programmes should be putting their effort this cycle, and where most are running about two quarters behind.
The mechanics are simple: an internship offer made to a pre-final-year student is next year's full-time conversion. Teams that engage late are not competing for interns — they are competing for the residue after the early movers have converted.
Live from our candidate database
Counted at render time and refreshed every six hours. This is a supply-side view of one platform, not a national labour-market statistic.
The batch curve is steep and predictable
Availability within a graduating batch follows the same shape every year. It is at its widest early, when few offers have landed and students are actively building projects. It narrows sharply through the placement season, and by the final semester the remaining pool skews towards candidates who have already been passed over at least once.
This is why a batch breakdown is more actionable than a headline candidate count. Knowing that a pool exists tells you nothing about whether you can still hire from it in March.
Pre-final-year engagement is a different exercise
Engaging the 2027 batch now is not a hiring activity, it is a brand and pipeline activity. The students have no placement deadline pressing on them, which means your outreach competes with coursework rather than with other offers — a much easier competition to win, and a much cheaper one.
The programmes that do this well tend to run something small and concrete: a project challenge, a mentored open-source sprint, a short paid summer engagement. What they avoid is a generic "talent community" that asks students to register and then goes quiet for eight months.
Which institutions to widen into
Most 2027 campus calendars are inherited from 2026 calendars, which were inherited from 2025. That path dependence is the single largest source of wasted campus spend, because the institutions producing strong candidates in a given skill shift faster than campus relationships do.
The fix is not to abandon existing relationships but to add a data step before the calendar is locked: look at where candidates with your target skills actually sit, and add two or three institutions you have never visited. Tier-2 additions in particular tend to convert at higher offer-acceptance rates than metro campuses, where you are one of many.
What to measure
The metric that matters for a pre-final-year programme is not offers made — it is how many of the students you engaged in 2026 are still reachable and interested in 2027. Track that explicitly, because it is the only number that tells you whether your early engagement was real or theatre.
Alongside it, track offer-acceptance by institution rather than in aggregate. Aggregate acceptance hides the fact that two campuses in your calendar are almost certainly doing all the work while three are doing none.
Key takeaways
- Availability within a batch is widest early and narrows sharply through placement season — engage 2027 now, not in its final semester.
- Pre-final-year engagement competes with coursework, not with other offers. That makes it cheaper and easier to win.
- Add two or three data-selected institutions to an inherited campus calendar each cycle.
- Measure re-engagement rate a year later, and offer-acceptance by institution rather than in aggregate.
Questions
Is it too early to make 2027 offers?+
For full-time roles, usually. For internships, no — a summer internship in the pre-final year is the standard mechanism through which enterprise teams secure 2027 full-time conversions, and the strongest candidates commit early.
How do we reach 2027 students outside our campus calendar?+
Filter by graduating batch in the Talent Desk. The pool includes candidates from institutions that no campus calendar reaches, which is precisely where the least-contested candidates sit.
What conversion rate should we expect from internship to full-time?+
That depends far more on your internship design than on the cohort. Programmes with a defined project, a named mentor and a decision point built into the calendar convert at multiples of programmes that do not — the variable is yours, not the market's.
