Applied Computing: Data Analytics — VIC VCE scaling 2024

VTAC's verbatim 2024 scaling for Applied Computing: Data Analytics (Applied Computing category). Scaled mean 26.9, scaled SD 7.2. Raw study score 30 mapped to scaled 26; raw 40 to scaled 38; raw 50 to scaled 50.

Raw study score → scaled score (2024)

Raw study score	Scaled study score	Adjustment
20	16	-4
25	21	-4
30	26	-4
35	32	-3
40	38	-2
45	44	-1
50	50	+0

Summary statistics

Scaled mean	26.9 / 50
Scaled SD	7.2
VCE code	IT02
Category	Applied Computing

How Applied Computing: Data Analytics scaled in 2024

This subject scales down. The average student in this course performs below the senior-secondary cohort median across all their subjects, so scaling adjusts most raw marks downward. Important nuance: this does not mean strong students in this subject get poor scaled marks — look at the P90 row in the table. Top performers are still rewarded; the cohort-average position is what moves the mean.

The most useful reference points in VCE scaling are study scores 30 (cohort mean position) and 40 (top 9% of the cohort). For Applied Computing: Data Analytics in 2024:

• Raw study score 30 mapped to scaled 26 (-4 adjustment).
• Raw study score 40 mapped to scaled 38 (-2 adjustment).
• Raw study score 45 mapped to scaled 44 (-1 adjustment).

The adjustment becomes more or less extreme at the top of the distribution depending on the candidature. Weaker-candidature subjects tend to compress at the bottom and reward consistency at the top. Use the scaling calculator to test specific score combinations across your VCE study program.

Tutor rate context for Applied Computing: Data Analytics

Subject complexity classification: low — broad tutor supply. Based on our subject-complexity model, this subject typically carries a -4% adjustment to the base AU tutor rate band — partly because of the qualified-tutor pool size, partly because of subject-specific marking and exam complexity.

Tutor tier	Typical rate for Applied Computing: Data Analytics
University-student tutor	$60/hr
Experienced graduate	$75/hr
Registered teacher	$105/hr
Subject specialist	$135/hr

Estimates from the AU rate synthesis at /rates/. Use the rate estimator to add city and delivery format.

What this subject means for ATAR planning

VCE scaling is recalculated annually. The 2024 pattern shown above is a guide, not a prediction. For ATAR planning purposes, three reads of this table matter:

1. The raw-30 row — what a "cohort-average" performance is worth. This is the swing point for most VCE students.
2. The raw-40 row — what a strong-but-not-elite performance is worth. The realistic top end for most students.
3. The raw-50 row — the maximum scaled score. Useful only for top-decile candidates who could realistically hit 50.

Read these in conjunction with our VIC VCE state overview for cross-subject comparison, and the VCE curriculum guide for the actual syllabus content.

Caveats

• This is 2024 data. VTAC recomputes scaling each year — small candidature shifts move the numbers.
• The calculator we provide uses these anchor points with linear interpolation between them; actual VTAC scaling is slightly smoother but the differences are typically less than 0.5 scaled points.
• For small-LOTE languages, VTAC applies a separate language adjustment (the "All small LOTEs" entry in the official report); this page covers only languages with full standalone scaling.

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