
Blackburn, Lancashire · BB1 5JT
Rawdhatul Ilm Wal Huda is a newly established (September 2022) independent girls' boarding school in Blackburn offering an integrated Islamic and secular curriculum. The school positions itself as 'The Garden of Islamic Knowledge & Guidance,' combining structured GCSE pathways with optional Aalimiyyah (classical Islamic studies) and Hifdh (Qur'anic memorisation) programmes. It serves Muslim families seeking education rooted in Islamic values, pastoral care, and character development alongside academic rigour.
Who thrives here
Muslim girls and families prioritising Islamic character development, Qur'anic engagement, and classical Islamic learning alongside GCSEs and A-levels. Boarders from regions without comparable provision may be particularly attracted.
Percentiles within UK independent + grammar schools we track.
32 Moss Street
Blackburn, Lancashire
BB1 5JT
Nearest stations
Day fees at Rawdhatul Ilm Wal Huda are approximately £5,400 per year (2024/25). Boarding fees are higher.
Rawdhatul Ilm Wal Huda admits pupils at 11+, 13+, 16+. Entry is assessed by Interview, Assessment. See the Admissions section above for open days and key dates.
At Rawdhatul Ilm Wal Huda, 52.4% of GCSEs were grade 7/A or above. Full results are in the Results section above.
Rawdhatul Ilm Wal Huda offers boarding as well as day places.
Ofsted rated Rawdhatul Ilm Wal Huda “Good” (2023).
Frequently praised
✓New, purpose-built facilities and modern infrastructure
✓Integration of Islamic learning and secular academic study within single institution
✓Warm, faith-centred pastoral approach with emphasis on character and tarbiyah
✓Single-sex boarding environment perceived as secure and focused for girls
Common concerns
!Very new school (opened 2022) with no Ofsted inspection record; limited track record for university destinations or long-term outcomes
!Small pupil cohort (144 across all year groups) may limit co-curricular breadth and peer diversity
!No published GCSE/A-level results data available; transparent outcomes data sparse