Inside Cambridge Admissions: What the FOI Data Actually Shows

FOI data analysis · 2020–2024 entry · Cambridge Engineering & Natural Sciences

Inside Cambridge Admissions: What the FOI Data Shows

Cambridge does not publish ESAT score data linked to applicant outcomes. Unlike Imperial College London — which provides a public outcome dashboard — Cambridge's admissions statistics are almost entirely opaque. This post analyses three Freedom of Information responses obtained from the University of Cambridge covering Engineering (H100) and Natural Sciences (BCF0) — the only public source that links individual ESAT/ENGAA scores to offer status by domicile.

The data covers 12,063 individual ESAT/ENGAA applicant records (2020–2024) and 2,215 A-level qualification records (2020 cohort), each tagged with domicile (Home, China, International) and offer status. The most striking finding is what the data reveals about the systematic differences between how applicants from different domiciles are selected — not in raw score thresholds, but in the score required to achieve the same offer probability.

12,063Individual applicant
records (2020–2024)
4,962ESAT records analysed
(2023 & 2024 entry)
17.8Median total score
of offer holders
10.1Median total score
of non-offer holders

What data was obtained and how

Three FOI requests · Cambridge University · 2024–2025

FOI Reference Requester Course Data Provided Years Covered
FOI-2024-484 (Lim) Winter Lim Engineering H100 Individual ESAT/ENGAA section scores by domicile and offer status · 2020 A-level qualification types and predicted grades 2020, 2022, 2023, 2024
FOI-2025-1026 (Wang) Wang Natural Sciences BCF0 Individual ESAT section scores by offer status · Aggregate domicile breakdown table (no individual domicile column) 2025 entry
FOI-2025-347 (Stafford) Stafford CS G400 & Economics L100 Individual TMUA scores (Mathematical Thinking, Mathematical Reasoning, Overall) by offer status 2024 entry
FOI-2025-1028 (Smith) Smith Engineering H100 Min/avg/max ESAT scores by college, for all applicants and offer holders separately, across all three Engineering sections 2025 apply year
⚠ Interview data not available: Cambridge explicitly refused to provide interview scores in all FOI responses. The University states that interview processes are "set and managed locally by each of the individual Colleges, each of which is a separate legal entity and public authority." No university-level interview data exists. All analysis in this post is therefore based on pre-interview inputs (ESAT scores, A-level grades, domicile).

Understanding the ESAT sections at Cambridge

Cambridge requires three sections per applicant — the combination varies by course

ESAT section scores (scaled 1.0–9.0, same as Imperial)
Low
Average
Competitive
Strong
Elite
1.03.04.5 (median)7.0 (top 10%)8.09.0
Engineering: Maths 1 + Maths 2 + Physics (S1/S2/S3)
Biological NatSci: Maths 1 + Biology + Chemistry
Physical NatSci: Maths 1 + Physics + Maths 2
Data sources used in this report: FOI-2024-484 (Lim) Engineering H100 individual data · FOI-2025-1026 (Wang) Natural Sciences BCF0 summary data · FOI-2025-347 (Stafford) CS/Economics TMUA data · FOI-2025-1028 (Smith) Engineering ESAT by college · Cambridge Admissions Statistics (published) · UAT-UK ESAT Technical Reports.

Engineering H100 · 2023 & 2024 entry · n = 4,962 · S1 = first ESAT section score

ESAT Scores & Offer Rates

The Lim FOI data contains individual section scores for 4,962 Engineering applicants across the 2023 and 2024 cycles — uniquely allowing offer rates to be computed at each score band. The first ESAT section (S1, corresponding to Maths 1) is the strongest single predictor of offer outcomes. The relationship is steep: below S1=4, offer rates are in single digits for all domiciles. Above S1=7, Home applicants receive offers at nearly 90%.

Offer rate by S1 score band — Home vs China vs International (2023+2024)

Score band breakdown — all three domiciles

Engineering H100 · 2023 & 2024 combined · Raw offer rates per S1 band

S1 Band Home — n Home — offer rate China — n China — offer rate International — n International — offer rate
1–2 1,285 2.1% 37 0.0% 442 0.5%
3 696 11.1% 68 1.5% 285 1.8%
4 527 23.5% 90 1.1% 252 8.7%
5 224 44.2% 112 7.1% 130 15.4%
6 149 57.7% 137 13.9% 129 28.7%
7 33 81.8% 64 20.3% 40 42.5%
8 13 84.6% 56 35.7% 29 41.4%
9 17 100.0% 104 54.8% 43 74.4%
Key observation: At every single score band, the offer rate for Home applicants exceeds that for Chinese applicants — often by a factor of 5–10×. A Home applicant scoring S1=4 has a 23.5% offer rate. A Chinese applicant scoring the same has a 1.1% offer rate. This is the clearest quantitative signal that domicile profoundly shapes the offer probability at any given test score.

Total score distribution — offer holders vs non-offer holders

Sum of all three ESAT sections (max 27.0) · 2023 & 2024 entry

🎓 Engineering H100 — overall
All domiciles combined · 2023 & 2024 entry · n = 4,962
15.0%
combined offer rate
Offer holders
18.1
mean total /27
median 17.8
25th–75th pct (offers)
14.5–21.8
total score range
interquartile
Non-offer holders
10.7
mean total /27
median 10.1
Mean total ESAT score (out of 27) by domicile — offer holders
Home
16.0
China
23.8
International
20.3
Chinese applicants who receive offers average a combined ESAT score of 23.8 out of 27 — nearly 8 points higher than Home offer holders at 16.0. This is not because Cambridge applies a formal higher threshold for Chinese applicants; it is because the applicant pool for China skews heavily toward the top of the score distribution, while competition for the same fixed number of places is intense.

What score is enough to expect an offer?

S1 score at which offer rate exceeds 50% — by domicile

50% offer rate threshold by domicile →
Home
S1 ≥ 6 crosses 50% offer rate (57.7%). At S1 = 7+, 87.3% of Home applicants received offers. The curve is steep: each additional point above 5 roughly doubles the offer probability. Home applicants with S1 = 9 received offers at 100%.
China
No S1 band crosses 50% for Chinese applicants. Even at S1 = 9, the offer rate is 54.8% — barely above the threshold. At S1 = 7, it is only 20.3%. Achieving what a Home applicant achieves at S1 = 6 requires a Chinese applicant to score 9.0. The gap is structural, not incidental.
International
S1 ≥ 9 crosses 50% (74.4%). The International curve lies between Home and China — significantly below Home at all score levels, but better than China above S1 = 6. At S1 = 7+, International offer rate is 42.5%, compared to 20.3% for China and 81.8% for Home.

Domicile analysis · Engineering + Natural Sciences · ESAT score gaps by nationality

The China Gap: Score vs Outcome

The most striking pattern in all three FOI datasets is the systematic gap between the ESAT score needed to receive an offer at Cambridge, depending on domicile. This tab explores that gap in depth — across Engineering and Natural Sciences — and what the Winter Pool data reveals about how Chinese applicants fare after the interview stage.

Average S1 scores — offer holders vs non-offer holders

Engineering H100 · 2023 & 2024 entry · S1 = Maths 1 section

Home
5.23
Avg S1 — offer holders
vs 3.09 non-offer
15.9% offer rate · n=2,944
China
7.95
Avg S1 — offer holders
vs 5.74 non-offer
17.8% offer rate · n=668
International
6.68
Avg S1 — offer holders
vs 3.71 non-offer
10.9% offer rate · n=1,350
The 2.72-point gap: Chinese offer holders average an S1 of 7.95, versus 5.23 for Home offer holders — a gap of 2.72 points on a 9-point scale. In percentile terms, this is the difference between approximately the 70th and 95th percentile of ESAT test-takers. Chinese applicants must score at the elite end of the national distribution to achieve the same outcome probability as an above-average Home applicant.
Avg S1 score — offer holders vs non-offer holders by domicile

Natural Sciences: the Winter Pool picture

FOI-2025-1026 (Wang) · Natural Sciences BCF0 · 2025 entry · Domicile summary table only (no individual domicile column in score data)

What is the Winter Pool?

Cambridge's Winter Pool is a redistribution mechanism. If a college interviews an applicant but declines to offer directly, it may place them in the pool. Other colleges with spare places then review pooled applicants and may invite them for a second interview and potentially offer a place. Pool placement ≠ an offer — it is a second chance. The pool conversion rate (how many pooled applicants eventually receive offers) varies significantly by domicile.

Domicile Applications Direct offers Direct offer rate Pool placement Pool placement rate Pool offers Pool conversion Total success
UK 1,381 446 32.3% 308 22.3% ~101 32.8% 39.6%
China 722 108 15.0% 151 20.9% ~8 5.3% 16.1%
Singapore 81 32 39.5%
Hong Kong 67 20 29.9%
USA 78 8 10.3%
🔁 The pool conversion disparity
Natural Sciences BCF0 · UK vs China · 2025 entry
UK pool conversion
32.8%
of pooled UK applicants
received a pool offer
~101 pool offers
China pool conversion
5.3%
of pooled Chinese applicants
received a pool offer
~8 pool offers
Pool placement rate
~21%
both UK and China
enter pool at similar rates
comparable placement
The pool placement rate is nearly identical — about 21% for both UK and Chinese applicants — meaning colleges are equally willing to put both groups into the pool rather than outright reject them. But pool conversion is 6× lower for Chinese applicants. Since pooled applicants have already been interviewed by at least one college, the pool conversion gap likely reflects interview-stage factors: communication, cultural expectations set by individual college Fellows, or logistics of second interviews for overseas candidates.
The structural picture: Chinese applicants enter the pool at the same rate as UK applicants (~21%), which means they are clearing the initial application and ESAT bar at a comparable rate once competition intensity is controlled for. But once in the pool — at the interview conversion stage — they succeed at one-sixth the rate. This is the clearest data signal that the interview, not the ESAT, is where the domicile gap is amplified.

2020 cohort only · Engineering H100 · Home A-level applicants · Predicted grades at time of application

A-Level Grades: Floor, Not Differentiator

The Lim FOI contains a separate dataset for the 2020 cohort: qualification type and predicted A-level grades for each applicant, alongside offer status and domicile. With 2,215 records, this allows direct comparison of predicted grade profiles between successful and unsuccessful applicants. The central finding is counterintuitive: A-level grades are almost completely non-discriminating between offer and non-offer holders at Cambridge Engineering. The same top grade profile appears in both columns.

3.46Average A* count
offer holders (Home)
2.62Average A* count
non-offer holders (Home)
36%Offer rate for
4-A* predicted
57.1%Chinese applicants
using non-A-level quals

Offer rate by number of predicted A* grades

Home A-level applicants only · 2020 cohort · n = 1,202

Offer rate by predicted A* count — Home Engineering applicants (2020)
📋 Most common predicted grades — offer vs non-offer
Home A-level applicants · Engineering H100 · 2020 · Top 6 grade strings each group
Offer holders (n=197 graded)
A*A*A*A* — 113
A*A*A*    — 40
A*A*A*A  — 21
A*A*A    — 9
A*A*AA   — 6
A*AA     — 2
Non-offer holders (n=975 graded)
A*A*A*A* — 202
A*A*A*    — 190
A*A*A    — 178
A*A*A*A  — 143
A*A*AA   — 114
A*AA     — 51
A*A*A*A* is the most common predicted grade string for both offer holders (113 applicants) and non-offer holders (202 applicants). The non-offer group has proportionally more applicants with 4 A*s than the offer group. This conclusively demonstrates that predicted grades do not drive final selection — they function as a minimum bar. Selection happens at the ESAT and interview stage.

Chinese applicants: qualification type breakdown

2020 cohort · n = 196 Chinese applicants in Engineering H100

Chinese applicant qualification profile →
A-level
(57.1%)
112 Chinese applicants held A-level qualifications. Of these, 25.9% (29 applicants) received offers. Chinese A-level applicants tend to sit A-levels at international schools or UK boarding schools and submit the same qualification profile as Home applicants.
Other
(42.9%)
84 Chinese applicants were classified as "Other" qualifications — including Gaokao, Chinese high school diplomas, IB, and other international curricula. Remarkably, their offer rate was higher: 36.9% (31 applicants), compared to 25.9% for Chinese A-level applicants. This suggests Cambridge's "Other" pathway for Chinese applicants may select for particularly strong candidates.
Overall
(2020)
Combined Chinese offer rate: 30.6% (60/196). This appears higher than the 2023–24 figure of 17.8% — suggesting either 2020 had unusually high intake, or that the qualification data sample is not fully representative of the ESAT score cohorts (different IDs, different years, different selection criteria).
⚠ Limitation: The A-level data is from the 2020 cohort only — the year before ESAT was introduced. In 2020, Cambridge used the ENGAA, not the ESAT. Grade profiles from this cohort may not perfectly represent the current competitive landscape, though the structural relationships (grades as a floor, not a differentiator) are unlikely to have changed significantly.

Natural Sciences BCF0 · FOI-2025-1026 (Wang) · Section-by-section offer rate analysis

Which ESAT Sections Actually Drive Offers?

The Wang FOI data for Natural Sciences allows offer rates to be computed for each ESAT section independently — separating the signal from each section. The result reveals a striking asymmetry: Maths 1 is the primary predictor for both streams, and Physics and Maths 2 dominate Physical NatSci selection. Biology and Chemistry — the "subject" sections for Biological NatSci — show weak, non-linear, and sometimes inverse relationships with offer rate. This has a direct practical implication for applicants.

1,160Biological NatSci
applicants (2025)
24.8%Biological NatSci
offer rate
1,465Physical NatSci
applicants (2025)
26.2%Physical NatSci
offer rate

Biological NatSci: Maths 1 rules, Biology and Chemistry do not

Offer rate by section score band — Biological stream · n = 1,160 applicants · 288 offers

🌿 Biological NatSci — section averages
Sections: Maths 1 · Biology · Chemistry · Offer holders vs non-offer holders
24.8%
offer rate
Maths 1 — offers
5.20
avg section score
vs 4.10 non-offer
Biology — offers
5.91
avg section score
vs 6.11 non-offer ⚠
Chemistry — offers
5.71
avg section score
vs 6.27 non-offer ⚠
⚠ The Biology and Chemistry averages for offer holders are lower than for non-offer holders. This is not a data error — it reflects that high subject-section scores do not compensate for a weak Maths 1, while moderate subject scores paired with a strong Maths 1 do lead to offers.
Biological NatSci — offer rate by section score band
Critical finding — Biology and Chemistry are not reliable predictors: Across the score range 1.0–9.0, the Biology offer rate chart is non-linear and erratic, peaking around 3.0–3.9 at ~80%, then dropping, then partially recovering. Both sections show negative correlation with offer rate above the 5.0 band — meaning applicants who scored very highly in Biology or Chemistry were less likely to receive offers than those who scored moderately.

Physical NatSci: Physics and Maths 2 are decisive

Offer rate by section score band — Physical stream · n = 1,465 applicants · 384 offers

⚛️ Physical NatSci — section averages
Sections: Maths 1 · Physics · Maths 2 · Offer holders vs non-offer holders
26.2%
offer rate
Maths 1 — offers
not primary predictor
plateaus ~30%
Physics — offers
7.84
avg section score
vs 4.67 non-offer
Maths 2 — offers
8.36
avg section score
vs 4.92 non-offer
Physics and Maths 2 gaps between offer and non-offer holders are 3.17 and 3.44 points respectively — among the largest section-level gaps observed across any Cambridge or Imperial dataset in this analysis. Virtually no offers are made below Physics = 5 or Maths 2 = 6.
Physical NatSci — offer rate by section score band
What the section data tells applicants →
For both streams
Maths 1 is the single most consistent predictor of offer outcomes across all NatSci streams. If you can only improve one section, Maths 1 gives the greatest expected return on offer probability.
Physical NatSci
Physics and Maths 2 are both decisive — they need to be strong simultaneously. Offer rates near zero below Physics = 5 and Maths 2 = 6. Aiming for 7+ in both gives near-certainty of being competitive.
Biological NatSci
Even for the Biological stream, stronger Biology and Chemistry scores do not meaningfully increase offer probability. Treat Biology and Chemistry as sections to pass competently (aim for 4.0–6.0) rather than to maximise.

College-level breakdowns · TMUA 2024 · Natural Sciences BCF0 2025

Data by College

Two college-level datasets are available from the FOI responses. The TMUA table covers CS (G400) and Economics (L100) offer holders for the 2024 application cycle, derived from FOI-2025-347 (Stafford). The Natural Sciences table covers all BCF0 applications for the 2025 cycle, derived from FOI-2025-1026 (Wang). Neither dataset includes individual domicile-level breakdowns at the college level — figures are pooled across all domiciles.

Note that Cambridge admissions are college-based, not department-based. The same applicant pool is divided across 29 colleges, each operating its own selection process independently. College-level variation in scores and offer rates therefore reflects both the differing academic cultures of individual colleges and random variation from small sample sizes — particularly for smaller colleges.

Average TMUA scores by college — offer holders, 2024

CS (G400) & Economics (L100) · Mathematical Thinking / Mathematical Reasoning / Overall · Sorted by offer holder overall score (highest → lowest)

# College Math thinking Math reasoning Overall (offer holders)
1 Wolfson 8.17 7.60 7.93
2 Churchill 7.44 7.63 7.61
3 Clare 7.46 7.29 7.44
4 Trinity 7.37 7.26 7.41
5 Robinson 7.54 7.08 7.38
6 Fitzwilliam 7.28 7.27 7.35
7 Girton 6.90 7.16 7.16
8 Emmanuel 7.27 6.87 7.13
9 Selwyn 6.83 7.14 7.12
10 Magdalene 7.13 7.20 7.27
11 Hughes Hall 7.15 7.12 7.22
12 Trinity Hall 7.18 6.80 7.10
13 Christ's 6.78 6.95 7.06
14 Jesus 6.97 6.90 7.06
15 Downing 6.80 6.88 6.99
16 St John's 6.69 6.90 7.00
17 Queens' 6.98 6.70 6.97
18 Sidney Sussex 6.57 7.00 6.96
19 Murray Edwards 6.86 6.30 6.80
20 St Catharine's 6.66 6.44 6.71
21 Gonville & Caius 6.70 6.31 6.70
22 Peterhouse 6.53 6.43 6.67
23 Pembroke 6.12 6.61 6.59
24 Lucy Cavendish 6.44 6.19 6.56
25 King's 6.48 6.83 6.84
26 Corpus Christi 5.93 6.37 6.39
27 Homerton 6.19 6.19 6.38
28 St Edmund's 5.20 6.27 5.93
29 Newnham No offer holder data
⚠ Note on Wolfson and Hughes Hall: Both are primarily graduate colleges with very small undergraduate cohorts. Their high averages reflect a tiny and self-selected applicant pool rather than a systematically higher bar. Newnham had no offer holder TMUA data recorded for the 2024 cycle. The TMUA data covers CS (G400) and Economics (L100) only — it does not cover Engineering or Natural Sciences, which use the ESAT instead.

Natural Sciences (BCF0) applications by college, 2025

All colleges · Sorted by total applications (highest → lowest) · <3 = suppressed to protect individual privacy

# College Applications Offers Offer rate Winter pool placed Pool offers
1 Trinity 171 37 21.6% 44 0
2 Emmanuel 155 28 18.1% 33 0
3 St Catharine's 141 33 23.4% 15 0
4 Churchill 128 42 32.8% 28 8
5 St John's 125 29 23.2% 23 10
6 Clare 123 27 22.0% 31 6
7 Fitzwilliam 118 27 22.9% 20 0
8 Pembroke 118 30 25.4% 29 0
9 Jesus 117 27 23.1% 21 0
10 Christ's 112 31 27.7% 17 3
11 Gonville & Caius 109 24 22.0% 22 <3
12 Homerton 105 33 31.4% 25 9
13 Downing 104 21 20.2% 24 <3
14 Queens' 88 26 29.5% 29 <3
15 Magdalene 88 19 21.6% 23 0
16 Selwyn 86 22 25.6% 21 4
17 Newnham 83 20 24.1% 16 6
18 Robinson 81 24 29.6% 9 8
19 Trinity Hall 81 22 27.2% 26 4
20 Peterhouse 77 15 19.5% 15 3
21 Lucy Cavendish 77 25 32.5% 5 13
22 Sidney Sussex 68 19 27.9% 11 10
23 Murray Edwards 66 18 27.3% 7 12
24 Corpus Christi 65 20 30.8% 15 3
25 King's 62 14 22.6% 19 3
26 Girton 79 24 30.4% 16 16
27 Wolfson 6 <3 <3 0
28 St Edmund's 6 9 <3 5
29 Hughes Hall 5 4 <3 3
Pool offers vs pool conversion: Colleges with high pool offer counts relative to their direct offers — notably Lucy Cavendish (13 pool offers against 25 direct), Girton (16 pool offers equal to its direct offer count), and Murray Edwards (12 pool against 18 direct) — actively recruit from the Winter Pool.
⚠ Cross-dataset comparison: The TMUA table covers the 2024 cycle and CS/Economics only. The NatSci table covers the 2025 cycle and Natural Sciences only. The two datasets are not directly comparable.

Engineering H100 · 2025 apply year · FOI-2025-1028 (Smith) · Average scores for all applicants vs offer holders

ESAT Scores by College

This data comes from FOI-2025-1028 (Smith), which provides minimum, average, and maximum ESAT section scores broken down by Cambridge college for the 2025 application year. Scores are given separately for all applicants and for offer holders at each college, across all three Engineering sections: Mathematics 1, Physics, and Mathematics 2.

The chart below shows average scores per college. Use the dropdowns to switch section and sort order. The gap between the two bars at each college indicates how selectively a college converts its applicant pool into offers — a wide gap means only the highest-scoring applicants receive offers.

Avg ESAT score — Mathematics 1 · all applicants vs offer holders · by college
All applicants (avg)
Offer holders (avg)
* Hughes Hall offer holder averages withheld by Cambridge (small cohort, shown as absent bar). St Edmund's shows applicant averages above offer holder averages across all sections — likely reflects pool-in offers attributed to St Edmund's in the FOI data. Wolfson has a compressed score range due to its graduate-entry focus. Scores on 1.0–9.0 scale.
How to read the gap: A wide gap between the blue (all applicants) and green (offer holders) bar means a college received a wide range of applicants but selected only the highest scorers. A narrow gap suggests a more self-selecting applicant pool where most applicants who applied were already competitive. Large-gap colleges are not necessarily "harder" — they may simply attract more speculative applications.

Full data — all 29 colleges, all three sections

Engineering H100 · 2025 apply year · Source: FOI-2025-1028 (Smith) · Averages on 1.0–9.0 scale · — = withheld

College M1 — all M1 — offers Phy — all Phy — offers M2 — all M2 — offers
Christ's 5.00 7.05 4.79 6.60 5.03 6.42
Churchill 4.80 5.98 4.77 5.90 4.83 5.91
Clare 4.86 6.18 4.87 7.34 4.71 6.80
Corpus Christi 4.66 5.98 4.78 6.48 4.57 5.88
Downing 4.61 6.94 4.57 6.47 4.38 6.65
Emmanuel 4.56 5.81 4.75 6.28 4.58 5.93
Fitzwilliam 5.64 6.31 5.28 6.25 5.47 6.21
Girton 4.74 5.79 4.38 6.24 4.60 5.78
Gonville & Caius 4.57 6.68 4.65 6.67 4.54 6.43
Homerton 5.01 6.42 4.69 6.59 4.87 6.33
Hughes Hall 6.15 5.65 5.52
Jesus 4.30 6.42 4.39 6.65 4.28 6.38
King's 4.34 5.82 4.34 5.63 4.48 5.80
Lucy Cavendish 5.18 6.14 5.01 6.10 5.07 6.03
Magdalene 5.26 6.05 5.27 6.35 5.30 6.22
Murray Edwards 5.06 7.08 4.50 6.64 4.94 6.95
Newnham 4.61 6.40 4.54 5.95 4.67 5.88
Pembroke 4.59 6.38 4.61 6.46 4.42 6.48
Peterhouse 5.00 6.41 4.84 5.92 4.97 6.11
Queens' 4.82 6.58 4.64 6.57 4.78 6.40
Robinson 5.72 6.54 5.37 6.58 5.58 6.99
Selwyn 4.58 6.23 4.51 7.06 4.47 5.79
Sidney Sussex 5.28 5.98 5.09 6.02 5.19 5.97
St Catharine's 4.75 5.60 4.74 5.86 4.51 5.70
St Edmund's 6.84 5.93 6.37 5.79 6.49 5.98
St John's 4.38 5.84 4.41 6.52 4.25 5.85
Trinity 4.61 6.36 4.40 5.93 4.66 6.24
Trinity Hall 5.15 6.75 4.86 7.00 5.15 6.64
Wolfson 4.33 6.45 3.92 6.25 5.28 6.53
⚠ Interpreting St Edmund's: St Edmund's shows applicant averages above offer holder averages across all three sections. This likely reflects a very small, mature-entry applicant pool where pool-in offers from other colleges are attributed to St Edmund's in the FOI data, creating a counterintuitive pattern. Wolfson similarly has a compressed score range due to its graduate-entry focus. Treat these two colleges as outliers when interpreting the chart.

Key findings · Score targets · What the data cannot tell us

Summary & Takeaways

Benchmark summary table

Engineering H100 · 2023 & 2024 combined · S1 score = Maths 1 section · All values on 1–9 ESAT scale

Domicile Apps (2023+2024) Offer rate Avg S1 — offers Avg S1 — non-offers Score gap S1 for 50%+ offer rate
Home 2,944 15.9% 5.23 3.09 +2.14 ≥ 6
China 668 17.8% 7.95 5.74 +2.21 Never reached (54.8% @ 9)
International 1,350 10.9% 6.68 3.71 +2.97 ≥ 9 (74.4%)

Five key findings

Finding 1
S1 (Maths 1) is the dominant ESAT predictor. Offer rates climb steeply with S1 for Home applicants — from 2% at band 1–2 to 100% at band 9.
Finding 2
Chinese applicants need systematically higher ESAT scores for the same offer probability. The average S1 of Chinese offer holders (7.95) is 2.72 points above that of Home offer holders (5.23).
Finding 3
The pool conversion gap reveals the interview stage as the source of the domicile difference. Pool conversion is 32.8% for UK applicants and only 5.3% for Chinese applicants — a 6× gap driven by interview-stage factors.
Finding 4
A-level grades are a floor, not a differentiator. A*A*A*A* is the most common predicted grade string for both offer and non-offer holders. The ESAT and interview are doing the actual selection work.
Finding 5
Cambridge offers to Chinese applicants happen at very high overall scores. Chinese offer holders average a combined ESAT total of 23.8 out of 27, while Home offer holders average 16.0.

Practical targets for applicants

Home Engineering: S1 ≥ 6.0 for a majority offer rate; S1 ≥ 7.0 puts you in the near-certain range
Home Engineering total: aim for combined ≥ 16–17 out of 27 (offer-holder mean)
China Engineering: no S1 band guarantees >50% offer rate; aim for S1 = 9.0 and total ≥ 22–24
China Engineering: at S1 ≥ 8, offer rate is 35.7% — still a minority, requiring strong interview performance
International Engineering: aim for S1 ≥ 7.0; total ≥ 19–21 puts you near International offer-holder mean
Natural Sciences (all domiciles): Physics S1 is the strongest predictor for Physical NatSci; aim for ≥ 7.0 in Physics
Grades: A*A*A is the published minimum — but so do most rejected applicants
Interview: the pool conversion data shows interviews are decisive — ESAT alone does not secure an offer at any score band
Critical limitation — no interview scores: Cambridge refused to provide interview data in all FOI responses. The interview is the final and decisive stage, and on the basis of these records we cannot determine what interview scores look like, whether they correlate with ESAT scores, or how they are weighted.
All information current as of May 2026. Cambridge admissions criteria, ESAT requirements, and domicile quota structures can change between cycles. Always verify on the Cambridge Admissions website and check the current UAT-UK course list before applying.



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