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FRM302026–27Investigate and explain

Students with more than 40 planned hours a week

Funding year2026–27Verified currentSources checked24 October 2026ReviewApproval pending confirmationSee the sourcesReport an issue

A funding monitoring report identifies records and patterns that DfE wants providers to investigate and be able to explain. Appearing on one does not by itself mean a record is wrong. Many flagged records are correct and simply need their evidence produced; others turn out to need a correction.

Where this comes from

Every word below is DfE’s own, read from the published guidance on 19 September 2026. Nothing in this section was written by FEFunding.

Summary

While there is no minimum number of hours that a study programme must have, planned hours must not exceed 40 hours per week for any student. Study programme planned hours reflect the hours planned for the academic year whereas T Level planned hours are recorded for the length of the T Level programme.

Funding streams reviewed

  • 16 to 19 study programmes
  • T Levels

What you need to do

You must adjust the planned learning hours to ensure that the student is not studying more than 40 hours per week and both the study programme’s planned hours and dates reflect this. Planned learning hours must be realistic, deliverable and supported by auditable evidence that the activity is timetabled and exists.

When a student has successfully completed their study programme significantly earlier than the planned end date, you must reduce the planned hours as appropriate to the actual period of attendance.

When a student withdraws from one or more aims within the first 6 weeks of a programme, you must remove all the planned hours for the aim from the total planned hours, unless excluding the hours already delivered within the first 6 weeks would make a material difference to the student’s funding band. In those cases, you can include the hours already delivered in the planned hours.

What we will do

We may contact you in-year to ensure data is reported accurately.

Changes from previous funding year

None

What this means in practice

This section is FEFunding’s explanation, not DfE’s wording. It was drafted with AI assistance against the official guidance above. Its approval is pending confirmation, so it is not yet shown as reviewed by a person. Where it differs from the Department’s own words, the Department’s words are the authority.

In plain English

This report lists students whose recorded programme works out at more than 40 hours a week. DfE sets no minimum for a study programme, but it does set that ceiling. A weekly figure is two numbers divided: the hours you planned, and how long the programme runs for. So a student can appear here because the hours are too high, or because the dates are shorter than the programme really is.

Based on FRM30 Summary.

Working knowledge

Planned hours for a study programme are the hours planned for the academic year. T Level planned hours are different: DfE records them for the length of the T Level programme, not for one year of it. If a two year T Level carries its full programme hours against a one year set of dates, the implied weekly figure doubles without anybody having recorded an hour too many. DfE's instruction covers both sides of the division: adjust the planned learning hours so the student is not studying more than 40 hours a week, and make sure both the planned hours and the dates reflect that.

Based on FRM30 Summary; FRM30 What you need to do.

Technical detail

The check is on planned hours against the recorded programme duration, so start and end dates drive it as much as Planned learning hours and Planned employability, enrichment and pastoral hours do. DfE adds two adjustments that change the numerator legitimately: where a student completes significantly earlier than the planned end date, planned hours must be reduced to the actual period of attendance; and where a student withdraws from an aim within the first six weeks, the planned hours for that aim come out of the total, unless removing the hours already delivered in those first six weeks would make a material difference to the funding band, in which case the delivered hours may stay in.

Based on FRM30 What you need to do; planned-hours-drive-the-band.

Why this report exists

Planned hours decide the funding band for a 16 to 19 student, so an overstated hours figure is an overstated allocation. DfE's ceiling gives it a way to see recorded programmes that cannot plausibly have been delivered as described.

Based on planned-hours-drive-the-band; FRM30 Summary.

What DfE is identifying

Students whose recorded planned hours, set against the recorded programme dates, come to more than 40 hours a week.

Based on FRM30 Summary.

Does appearing here mean something is wrong?

Not necessarily, but it does mean something in the record is inconsistent, because DfE states the ceiling as an absolute. The common case is that the hours are right and the dates are wrong, which is a data problem rather than a delivery problem, and it is corrected in the dates rather than by cutting hours that are genuinely timetabled.

Based on FRM30 Summary; data-error-is-not-always-a-funding-error.

Legitimate reasons for appearing

  • The student is on a T Level, whose planned hours DfE records for the length of the programme, and the recorded dates cover only part of it.
  • The programme genuinely runs longer than the dates currently on the record, for example a two year programme entered with a first year end date.
  • The hours include delivery that was correctly retained under DfE's first six weeks rule after a withdrawal from one aim.

Based on FRM30 Summary; FRM30 What you need to do.

Data or process problems that can cause it

  • Planned end date entered as the end of the current academic year on a programme that runs longer.
  • Programme hours entered once against a single year of a multi year programme.
  • A course template carrying hours for a full year applied to a student who started late, so the hours were never reduced to the remaining period.
  • Planned hours built from an intended timetable that was never delivered, rather than from the timetable that exists.

Based on mis-generates-the-ilr; planned-hours-drive-the-band.

What to check first

  • Divide the recorded planned hours by the number of weeks between the recorded start and end dates, and see which of the two is out of line with the actual programme.
  • Check whether the student is on a T Level, where the hours cover the whole programme rather than one year.

Based on FRM30 Summary.

Working through it

  • Take the student's recorded planned learning hours and planned employability, enrichment and pastoral hours, and the recorded start and planned end dates.
  • Work out the implied weekly figure, and decide whether the hours or the dates are the part that does not match the real programme.
  • If the dates are wrong, establish what the programme actually runs to, and whether the same template has been applied to a whole cohort.
  • If the hours are wrong, ask what they were built from: a timetable that exists, or an intention.
  • Check whether the student completed significantly earlier than planned, which under DfE's instruction means the planned hours should have been reduced to the actual period of attendance.
  • Check whether the student withdrew from any aim within the first six weeks, and whether DfE's rule on removing those hours was applied, including the material difference exception.
  • Decide whether this is one student, one course, or one way of building hours that affects a cohort.

Based on FRM30 What you need to do; planned-hours-drive-the-band.

ILR fields involved

  • Learner.PlanLearnHours
  • Learner.PlanEEPHours
  • LearningDelivery.LearnStartDate
  • LearningDelivery.LearnPlanEndDate
  • LearningDelivery.LearnActEndDate
  • LearningDelivery.FundModel

Based on PlanLearnHours_05; planned-hours-drive-the-band.

Related ILR validation rules

  • PlanLearnHours_03
  • PlanLearnHours_04
  • PlanLearnHours_05

Based on PlanLearnHours_03; PlanLearnHours_04; PlanLearnHours_05.

Related PDSAT reports

  • Y-202
  • Y-203
  • Y-212

Based on Y-202; Y-203; Y-212.

Returns this relates to

  • R04
  • R14

Based on r04-is-the-census-for-16-19; final-return-closes-the-year.

Funding implications

Planned hours place the student in a funding band, so hours that cannot be delivered as recorded carry a funding consequence. DfE says it may contact you in-year about this report, which is the point at which a correction still costs nothing beyond making it.

Based on planned-hours-drive-the-band; FRM30 What we will do.

Audit and assurance implications

DfE states that planned hours must be realistic, deliverable and supported by auditable evidence that the activity is timetabled and exists. That is the test: not that the hours were calculated, but that the timetable behind them can be produced.

Based on FRM30 What you need to do.

Evidence to look for

  • The timetable the planned hours were built from, showing the activity exists and is scheduled.
  • The course or programme record showing the real start and end of the programme, particularly for a multi year programme.
  • Where hours were reduced after an early completion or a withdrawal in the first six weeks, the record of what was removed and why.

Based on FRM30 What you need to do; evidence-must-be-contemporaneous.

If the data is wrong

  • Where the dates are wrong, correct them so the recorded duration matches the programme, which DfE requires alongside the hours themselves.
  • Where the hours are wrong, adjust the planned learning hours so the student is not recorded above the weekly ceiling.
  • Where a student completed significantly earlier than planned, reduce the planned hours to the actual period of attendance, as DfE instructs.
  • Make the change in the system that owns the curriculum and enrolment data, then regenerate and resubmit, rather than editing the return.
  • If the same template produced the figure for a cohort, correct the template as well as the students, or it returns next collection.

Based on FRM30 What you need to do; correct-the-source-not-the-return.

If the data is right

  • Keep the timetable that shows the hours are deliverable and scheduled, since that is what DfE names as the evidence.
  • Where hours were retained under the first six weeks material difference exception, record that this is what was applied and what the difference was.

Based on FRM30 What you need to do; change-evidence-matters.

Stopping it recurring

  • Check the implied weekly figure at the point hours are set, rather than discovering it on a monitoring report.
  • Treat multi year programmes as a known exception in the hours build, so programme length hours are never divided by a single year of dates.
  • Make the reduction after an early completion part of closing the student's record, not a year end exercise.

Based on mis-generates-the-ilr; FRM30 What you need to do.

Questions an MIS manager should ask

  • Are the hours wrong on this report, or are the dates?
  • How many students share the course or template that produced this figure?
  • When a student completes early, who reduces the planned hours, and how do we know it happened?

Based on mis-generates-the-ilr.

Questions a finance director should ask

  • If these hours were corrected today, does any student move funding band, and how many?
  • Is this a handful of records or the way we build hours for a whole curriculum area?

Based on planned-hours-drive-the-band.

What a good answer sounds like

  • A good answer says which of the two numbers was wrong, shows the timetable behind the hours that stayed, and says how many other students were affected.
  • A weak answer is that the students really do that much, with no timetable that can be produced to show it.

Based on FRM30 What you need to do.

Related Academy learning

  • planned-hours-explained
  • sixteen-nineteen-mechanics
  • evidence-principles

Based on planned-hours-drive-the-band.

Funding streams this report reviews

FRM30 in other funding years

Working through it in your own system

  1. Read the official wording for this report and note exactly which records it identifies.
  2. Find those records in your own data using the fields the report names.
  3. For each one, decide whether the record is correct and simply needs its evidence produced, or genuinely wrong.
  4. Trace a wrong record back to the entry in your source system that produced it, rather than to the file it appeared in.
  5. Correct it at that entry, regenerate and resubmit.
  6. Keep the evidence and the reason for the change together, so the record is explainable at audit.

The Academy has no verified supplier guidance for this report yet. Menu locations differ between product versions and between colleges on the same version, so we do not publish navigation we have not confirmed. The steps above are what has to be true in the data, which is the same in every system.

If the record does turn out to be wrong. Correct the record in the system where the data is entered, then regenerate the ILR file and resubmit it. Editing the generated file directly removes the symptom and leaves the cause in place, so the same record returns at the next submission with nobody expecting it. Keep a note of what was changed and why: that note is what makes the correction explainable later.

Work out whether your record is correct