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Grant Payments

Dáil Éireann Debate, Tuesday - 20 January 2026

Tuesday, 20 January 2026

Questions (1083)

Donna McGettigan

Question:

1083. Deputy Donna McGettigan asked the Minister for Further and Higher Education, Research, Innovation and Science the number of applicants for SUSI who were refused; the reasons for refusal; the number of applicants approved, in each of the years 2020 to 2025, in tabular form; and if he will make a statement on the matter. [3883/26]

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Written answers

The main support available to assist students with the cost of attending higher education is the Student Grant Scheme. Under the Scheme, grant assistance is awarded to eligible students attending an approved course in an approved institution who meet the prescribed conditions of funding, including those relating to nationality, residency, previous academic attainment and means. A Part-Time Fee Scheme for Specified Undergraduate Courses provides fee support to eligible part-time students attending specified publicly funded undergraduate courses leading to a major award. This includes specified in person and blended/hybrid courses and its aim is to provide additional flexibility in respect of course provision to students who are socio-economically disadvantaged. The decision on eligibility for a student grant is a matter, in the first instance, for SUSI to determine.

The following table provides the number of awarded and paid applications for the academic years 2020/21, 2021/22, 2022/23, 2023/24, 2024/25 and 2025/26.

Application Year

2020/21

2021/22

2022/23

2023/24

2024/25

2025/26*

Awarded

79,273

76,459

66,374

83,538

81,723

89,701

Paid

74,789

70,575

60,944

78,532

77,023

52,931

Please see below the number of refused applications and the reason for the refusal for the academic years 2020/21, 2021/22, 2022/23, 2023/24, 2024/25 and 2025/26.

Reason

2020/21

2021/22

2022/23

2023/24

2024/25

2025/26*

Ineligible as applicant is in receipt of Back to Education Allowance

344

292

226

207

211

299

Ineligible as applicant is not progressing in their education - course is at a lower level

994

1,030

1,046

1,335

2,878

2,938

Ineligible as applicant not progressing - course is at the same level as a previous course

1,139

1,011

812

1,071

1,153

1,358

Ineligible as course not approved for funding

852

925

973

1,106

1,135

1,073

Ineligible as total household income over the maximum threshold for funding

10,037

8,891

9,626

5,495

5,298

4,924

Ineligible as applicant did not submit sufficient documents to confirm eligibility

3,474

3,203

3,062

4,734

5,064

5,373

Ineligible as applicant has exceeded the maximum period of study allowable at PLC, Undergraduate or Postgraduate level

Less than 20**

Less than 20**

Less than 20**

Less than 20**

44

47

Ineligible as applicant does not have an eligible permission to remain in the State for funding

140

179

256

286

211

239

Ineligible as applicant not progressing – repeating same year of course

75

69

32

36

Less than 20**

Less than 20**

Ineligible as applicant does not meet the residency requirements

39

50

88

172

149

229

Ineligible as applicant is in receipt of a scholarship or bursary from public funds

Less than 20**

Less than 20**

Less than 20**

Less than 20**

54

49

Ineligible due to reasons other than those listed above

1,478

2,201

2,583

2,761

550

261

Grand Total

18,572

17,851

18,704

17,203

16,747

16,790

Data is as of 9 January 2026.

* Please note that these figures are likely to change as SUSI continues to process applications for academic year 2025/26.

Please note that fee only awards have not yet been paid as reconciliation of fees occurs in April/May each year. Once reconciliation is complete in Spring 2026, SUSI will pay awarded fees for the 2025/26 academic year directly to the institutions.

** The Deputy will notice on the above table that some values of 20 or less are not specified. To ensure compliance with data protection regulations and to safeguard the privacy of grant applicants, SUSI redacts any datasets where the number of values is 20 or less. This measure is taken out of an abundance of caution to prevent the potential identification of individuals, even in anonymised data.

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