Is the Provider Risk Rating System Fair?
In our previous post we unpacked how immigration risk is calculated for education providers. These metrics determine a provider’s Evidence Level, which ultimately influences visa processing behaviour.
But after analysing the model, an important question arose:
Is it reasonable to hold providers responsible for outcomes they cannot fully control?
1 Genuine Student assessment
A large share of refusals today are based on Genuine Student (GS) assessments. This is reasonable to some extent as providers are expected to screen applicants and assess intent.
2 Fraud refusals and visa cancellations
Fraud findings carry the largest weighting in the model (40%).
However, providers often receive no notification before or during these decisions. Without visibility into these cases, providers have no opportunity to mitigate or intervene.
3 The most unusual indicators
Two indicators are particularly difficult for providers to influence:
-> students becoming unlawful non-citizens
-> students later applying for Protection visas
These events typically occur after a student’s visa expires or long after they leave their course. At that stage, the student is no longer under the provider’s supervision.
The core issue
The model appears to assume that providers influence the entire immigration lifecycle of a student.
In reality, providers control only a small part of that process:
– admissions screening
– course delivery
– compliance while the student is enrolled
Everything else, visa decisions, fraud findings, post-study behaviour, sits within the immigration system itself.
The missing communication loop
Another challenge is that providers often only discover these issues later in departmental reports, with little context explaining what occurred. This makes it difficult for providers to improve risk management or adjust recruitment practices.
A simple analogy
Imagine selling someone a car. A few weeks later the driver receives a speeding ticket. Now imagine the government penalising the car dealer for that speeding offence.
That would clearly make little sense.
Yet some parts of the immigration risk model operate in a similar way – providers are assessed based on behaviour long after the student relationship has ended.
A possible policy question
If the concern is students remaining unlawfully or lodging protection claims after study, there may be other tools available, such as:
– tighter transition controls between visa categories
– specific visa conditions in higher-risk cases
– clearer communication loops with providers when risk events occur
These measures would target actual immigration behaviour, rather than attributing those outcomes to education providers.
What do you think?
#InternationalEducation #StudentVisa #CRICOS #MigrationPolicy #EducationProviders #Compliance #Educli