UCAT Marks Converter
Convert your UCAT raw marks to the 300–900 scaled scores used by medical schools — for all four cognitive subtests
The UCAT (University Clinical Aptitude Test) reports scores on a 300–900 scaled score per cognitive subtest, giving a total cognitive score of 1200–3600. These scaled scores are converted from raw marks (number of correct answers) using a statistical equating process. This converter uses approximate conversion tables based on published test-taker data to estimate your scaled score from raw marks. For calculating your total cognitive score and comparing to medical school thresholds, use our UCAT Score Calculator. For official score information, always refer to your score report from the UCAT Consortium.
DM uses 1–2 mark scoring. Max score is 43, not 29.
UCAT Subtest Structure and Scoring
Each of the four cognitive subtests has a fixed number of questions and time limit. Understanding the structure helps you target your raw mark improvement efficiently.
| Subtest | Questions | Time (min) | Format | Raw Marks | Scaled Range |
|---|---|---|---|---|---|
| Verbal Reasoning | 44 | 21 | Multiple choice — True / False / Can't Tell | 0–44 | 300–900 |
| Decision Making | 29 | 31 | Mixed — multiple choice and drag-and-drop | 0–43 (some Qs worth 2) | 300–900 |
| Quantitative Reasoning | 36 | 25 | Multiple choice — 5 options | 0–36 | 300–900 |
| Abstract Reasoning | 55 | 13 | Multiple choice — pattern recognition | 0–55 | 300–900 |
Abstract Reasoning is by far the most time-pressured subtest.
UCAT uses no negative marking across all five subtests including SJT. Every unanswered question scores zero — never negative.
Strategy implication: always guess on questions you cannot answer confidently. A random guess on a 4-option question has a 25% chance of being correct — much better than a guaranteed zero from leaving it blank.
How Raw-to-Scaled Score Conversion Works
Understanding the conversion process helps you interpret your practice test results accurately.
UCAT uses a statistical method called Item Response Theory (IRT) equating to convert raw marks to scaled scores. This process has three main effects:
Approximate Raw-to-Scaled Conversion Tables
Verbal Reasoning (0–44 marks)
| Raw Marks | Scaled Score (approx.) |
|---|---|
| 0 | 300 |
| 5 | 390 |
| 10 | 460 |
| 15 | 520 |
| 20 | 570 |
| 25 | 620 |
| 30 | 670 |
| 33 | 700 |
| 35 | 730 |
| 38 | 770 |
| 40 | 810 |
| 42 | 855 |
| 44 | 900 |
Decision Making (0–43 marks)
| Raw Marks | Scaled Score (approx.) |
|---|---|
| 0 | 300 |
| 5 | 380 |
| 10 | 450 |
| 15 | 510 |
| 20 | 570 |
| 25 | 620 |
| 29 | 660 |
| 32 | 710 |
| 36 | 770 |
| 39 | 820 |
| 41 | 860 |
| 43 | 900 |
Quantitative Reasoning (0–36 marks)
| Raw Marks | Scaled Score (approx.) |
|---|---|
| 0 | 300 |
| 4 | 380 |
| 8 | 440 |
| 12 | 500 |
| 16 | 550 |
| 20 | 600 |
| 24 | 650 |
| 27 | 690 |
| 30 | 740 |
| 33 | 800 |
| 35 | 845 |
| 36 | 900 |
Abstract Reasoning (0–55 marks)
| Raw Marks | Scaled Score (approx.) |
|---|---|
| 0 | 300 |
| 8 | 390 |
| 15 | 450 |
| 22 | 510 |
| 29 | 570 |
| 35 | 620 |
| 40 | 670 |
| 44 | 720 |
| 48 | 780 |
| 51 | 830 |
| 53 | 865 |
| 55 | 900 |
Raw Mark Improvement Targets
Use these benchmarks to set realistic raw mark targets during preparation. Small raw mark gains translate to meaningful scaled score improvements.
| Target Scaled Score | VR Raw (out of 44) | DM Raw (out of 43) | QR Raw (out of 36) | AR Raw (out of 55) |
|---|---|---|---|---|
| 600 (below avg) | ~22 | ~18 | ~18 | ~33 |
| 650 (avg) | ~26 | ~22 | ~22 | ~38 |
| 700 (above avg) | ~30 | ~26 | ~26 | ~43 |
| 750 (strong) | ~34 | ~31 | ~30 | ~47 |
| 800 (excellent) | ~39 | ~36 | ~33 | ~51 |
| 850+ (exceptional) | ~42 | ~40 | ~35 | ~53 |
How to Improve Your Raw Marks
Each subtest responds to different preparation strategies. Focus on your weakest subtest first for maximum total score improvement.
- •Practice the True / False / Can't Tell format exclusively — do not infer beyond the passage
- •Never use outside knowledge — only what is stated in the passage
- •Aim to answer each question in under 30 seconds
- •Flag and return to difficult questions rather than spending too long on one
- •Practice Venn diagrams, syllogisms, and probabilistic reasoning
- •For drag-and-drop questions worth 2 marks, getting all items correct matters
- •Use the on-screen whiteboard for complex logical puzzles
- •Eliminate clearly wrong options first to improve guessing accuracy
- •Practice mental arithmetic to reduce calculator dependency
- •Use estimation for multiple-choice questions — exact answers rarely needed
- •Focus on data interpretation: tables, charts, and graphs
- •Aim for 40–42 seconds per question (data reading + calculation + answer selection)
- •Practice identifying patterns in shape, size, colour, number, and position
- •Use the SCANS mnemonic: Size, Colour, Arrangement, Number, Shape
- •Accept imperfect accuracy — speed matters most given 14 seconds per question
- •If you cannot identify the pattern in 10 seconds, guess and move on
Frequently Asked Questions
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