Course Evaluation Evidence for EFMD Programme Accreditation (EFMD Accredited / EPAS)

In one sentence: EFMD Programme Accreditation (the process formerly called EPAS, now part of "EFMD Accredited") assesses a business or management programme along an input-output model — design, delivery, outcomes — wrapped in institutional context and quality-assurance processes, and it expects programmes to be regularly and systematically evaluated using student and stakeholder feedback with demonstrable long-term impact; course evaluation is one of the most direct sources of that evidence, provided it is standardised, analysed, and closed-loop.

This guide maps what EFMD reviewers look for to concrete outputs a modern course-evaluation system — including Koji for Education — can produce. It is written for programme directors, quality directors, and accreditation coordinators at business schools preparing a self-assessment report (SAR) or a re-accreditation.

What EFMD Programme Accreditation is (and how it differs from EQUIS)

EFMD Programme Accreditation is a globally recognised quality-assurance process that evaluates and benchmarks individual business and management programmes — an MBA, a specialised master's, a bachelor's, or a portfolio of related programmes. It rebranded from EPAS to "EFMD Accredited" in 2019 and now sits within EFMD's broader "EFMD Accredited" family. It is distinct from EQUIS, which accredits a whole institution, and from AMBA, which is specific to MBA/DBA portfolios. A school can hold EQUIS at the institutional level and pursue EFMD Programme Accreditation for specific programmes that need a focused, programme-level quality mark.

The assessment framework is an input-output model that moves from programme design to programme delivery to programme outcomes, considered within the wider institutional and environmental context and the institution's and programme's quality-assurance processes. Three transversal pillars run through the whole assessment: internationalisation, connections with practice (a corporate perspective), and ethics, responsibility and sustainability (ERS). The self-assessment report is structured to cover the five chapters of the Standards and Criteria document.

Eligibility and process, briefly

Typical eligibility conditions include EFMD membership in good standing, an institution operating for at least five years, at least two graduate cohorts (with a minimum number of graduates), and a viable minimum cohort size per delivery mode. The process — from initial enquiry through self-assessment, a peer-review team visit (an international panel including a corporate representative), to the accreditation decision — commonly takes around two years. Accreditation is awarded for a defined period, after which re-accreditation is required; confirm the exact current term in EFMD's process manual, as it can vary with the review outcome.

The evidence EFMD expects — and where course evaluation fits

Across the design-delivery-outcomes model, one requirement recurs: a programme should undergo regular and systematic evaluation that incorporates feedback from students and other stakeholders and demonstrates measurable long-term impact on students' knowledge, skills, attitudes, career success, and overall satisfaction. That is precisely the territory course evaluation is built for — but only if the evaluation is standardised, genuinely analysed, and visibly acted upon. Raw satisfaction averages are weak evidence; documented feedback loops and evidenced improvements are strong evidence.

Requirement → Koji output mapping

What EFMD reviewers look for	Concrete course-evaluation evidence	How Koji produces it
Regular, systematic programme evaluation using student feedback	A defined evaluation cycle with standardised instruments across all modules	Standardised AI-moderated interviews run each term with consistent, bias-aware moderation
Feedback that goes beyond satisfaction scores	Evidenced qualitative insight into why students experience a programme as they do	Automatic thematic analysis with representative quotes and issue prevalence, not just a mean
Closing the loop / continuous improvement	Documentation of what changed in response to feedback, and the effect	Action tracking linking themes to interventions and to subsequent cohorts
Measurable long-term impact on skills and outcomes	Longitudinal, cohort-over-cohort trend evidence tied to learning and experience	Longitudinal cohort reporting and thematic trend lines across terms and years
Stakeholder breadth (students plus others)	Feedback from students, alumni, and where relevant employers	The same interview engine can run alumni and employer studies (see koji.so)
Programme delivery quality (teaching, assessment, feedback)	Specific, actionable evidence on delivery, not global ratings	Adaptive probing surfaces concrete delivery issues (e.g. assessment feedback timeliness)
ERS, internationalisation, corporate connections (transversal)	Evidence these pillars are experienced by students, not just designed	Interviews can target these themes and report how students actually experience them

Turning course evaluation into SAR-ready evidence: five practical steps

1. Standardise the instrument across the programme. EFMD values systematic evaluation. A consistent core interview or questionnaire across every module lets you make defensible cross-module and cross-cohort comparisons, and it demonstrates a coherent quality system rather than ad-hoc surveying. Standardised moderation also reduces one source of variability in the evidence.

2. Capture the "why", not just the "what". A self-assessment report that quotes a 4.1/5 satisfaction mean tells reviewers little about the programme's quality mechanisms. Evidence that you understand the drivers — with analysed themes and student voice — shows an evaluation system that produces insight. This is where an interview-based method materially outperforms a static Likert form.

3. Document the loop, not just the collection. The strongest EFMD evidence is a visible cycle: feedback collected → analysed → an action taken → the effect observed in the next cohort. Action tracking that ties a specific student-raised issue to a specific programme change (and then shows the change in later feedback) is exactly the continuous-improvement narrative reviewers reward.

4. Show longitudinal impact. EFMD's outcomes chapter cares about impact over time. Cohort-over-cohort thematic trends — for example, a decline in complaints about assessment feedback after a change to turnaround times — are far more persuasive than a single term's snapshot.

5. Cover the transversal pillars deliberately. Internationalisation, corporate connection, and ERS are assessed throughout. Design part of your evaluation to ask how students actually experience the international dimension, the practice/corporate links, and the ethics/sustainability content — so you can evidence lived experience, not just curriculum design intent.

An honest note: course evaluation is necessary, not sufficient

Course evaluation is one evidence source, and EFMD Programme Accreditation deliberately triangulates. Student feedback will not, on its own, satisfy the standards — reviewers also examine curriculum design, faculty quality and research, assurance-of-learning processes, assessment rigour, corporate engagement, and career outcomes. A programme that leans only on satisfaction data, however well collected, will look thin. Treat course-evaluation evidence as the part of your SAR that demonstrates the student-experience and continuous-improvement mechanisms are real and working, and let it sit alongside assurance-of-learning data, employability metrics, and faculty/curriculum evidence. Where student-rating data is used for any high-stakes judgement, acknowledge its known limitations and biases rather than presenting means as objective truth — a candid, methodologically literate SAR reads better to an academic peer-review panel than an over-claimed one.

A worked closing-the-loop evidence entry

Reviewers respond to specificity, so build your evidence as concrete loop entries rather than aggregate charts. A single strong entry in a self-assessment report might read: "Term 1 interviews across the MSc Finance core surfaced a recurring theme (raised by roughly a third of respondents) that feedback on the first major assessment arrived too late to inform the second. Action: the programme moved to a staged submission with feedback returned within ten working days, effective Term 2. Result: in the following cohort's interviews, the theme fell from the most-cited delivery issue to a marginal one, and students explicitly noted the faster turnaround." That paragraph demonstrates, in one place, systematic collection, genuine analysis, a specific action, and a measured effect on a later cohort — the complete continuous-improvement cycle EFMD's outcomes chapter is looking for. Ten entries of this kind are worth more than a dashboard of satisfaction means, because they evidence a working mechanism, not just a measurement.

Aligning with assurance of learning

EFMD's outcomes emphasis overlaps with, but is not identical to, assurance of learning (AoL). AoL asks whether students actually achieved the intended programme learning outcomes, using direct measures (assessed work mapped to outcomes). Course evaluation is an indirect measure — it captures students' perceptions of their learning and experience, not a direct demonstration of competence. The two are complementary: present AoL data as your direct evidence of outcome attainment, and course-evaluation evidence as your indirect signal of how the programme is experienced and where delivery can improve. Being explicit about this distinction in the SAR signals methodological literacy and prevents the common error of presenting satisfaction scores as if they proved learning. Where the two sources disagree — for instance, strong AoL results on a module students rate poorly, or the reverse — that tension is itself valuable evidence of an evaluation system that triangulates honestly.

Related Resources

• Course Evaluation Evidence for AACSB & EQUIS Business-School Accreditation
• Course Evaluation Evidence for AMBA Accreditation (MBA, DBA & the Triple Crown)
• The Self-Evaluation Report (SER): Turning Course Evaluation Evidence into Accreditation-Ready Documentation
• Programme Review & Revalidation: Turning Course Evaluation into Accreditation Evidence
• Turning Student Feedback into ESG / ENQA Accreditation Evidence
• Does Closing the Feedback Loop Actually Matter? The Evidence

Preparing an EFMD self-assessment report? See how standardised, analysed, closed-loop student feedback becomes accreditation-ready evidence — explore Koji for Education.