What is this calculator?
A WAM — Weighted Average Mark — summarises your academic performance as a single number out of 100. Unlike a simple average, a WAM gives more weight to subjects worth more credit points, so a 12-credit-point subject counts twice as much as a 6-credit-point subject. Many Australian universities publish a WAM on your transcript and use it for honours eligibility, prizes, scholarships and course transfers.
How does it work?
Add one row per completed subject, type the final mark you received (0–100) and the subject's credit points. The calculator multiplies each mark by its credit points, adds those products together, and divides by your total credit points. Results update as you type, and the breakdown table shows every step so you can check it against your transcript.
Formula
WAM = Σ (mark × credit points) ÷ Σ (credit points)
Example
Three subjects: 78 in a 6-credit-point subject, 85 in a 6-credit-point subject, and 69 in a 12-credit-point subject.
(78 × 6) + (85 × 6) + (69 × 12) = 468 + 510 + 828 = 1,806. Total credit points = 24. WAM = 1,806 ÷ 24 = 75.25.
Try it: press Load example above to see this exact calculation.
How to interpret your result
On the common Australian banding, a WAM of 85+ sits in the High Distinction range, 75–84 Distinction, 65–74 Credit, 50–64 Pass, and below 50 Fail. Your university may band differently, and some use a WAM of 70 or 75 as the threshold for honours or Dean's List recognition. Treat the band shown here as a guide based on the scale you selected — your official classification comes from your university.
Important university-specific considerations
- Some universities exclude fail grades, conceded passes, or pass/fail subjects from the WAM; others include fails as their numeric mark.
- Some weight later-year subjects more heavily, or calculate separate WAMs per course, level or year.
- Credit points differ: a standard full-time semester is often 24 credit points, but subject values vary (commonly 6 or 12.5).
- If your university counts a subject differently, adjust or exclude that row and compare — then confirm against your official record.