VIC · AUUniversity of Technology Sydney Every unit, every faculty, mapped.
You came here because you want to know which units are actually hard, which electives are forgiving, where assessment week peaks land, and what international students in Clayton / Caulfield / Malaysia keep getting stuck on. We have all of it — derived, never republished.
2026 S1
concentrate here
Where AskSia data concentrates at UTS.
Across 47,200 sessions, here's how help-seeking distributes by faculty. Business & Economics is deepest covered; Medicine and Pharmacy are in early coverage. Numbers are session count per faculty in 2026 S1.
Hardest and most-asked. Pick wisely.
Ranked by AskSia session data — "hardest" is question density per student (proxy for difficulty); "most asked" is total help-seeking volume. The top 5 hardest concentrate 28% of all UTS sessions in our dataset.
Hardest units · top 10
Most-asked units · top 10
When students panic. Plan around this.
Question density by week of S1 2026, normalized to baseline (Week 1 = 1.0×). Two clear peaks: Week 7–10 mid-semester assessments, Week 12 + SWOTVAC finals. Use this to plan exam prep across all your units.
What trips UTS students across faculties.
Recurring patterns we see in 47,200 sessions — not specific to one unit, but appearing repeatedly across the curriculum. International students hit these earlier; domestic students hit them in second year.
All UTS units on AskSia. Pick yours.
Filterable by faculty. Each unit links to its full course profile — every exam topic, error pattern, weekly difficulty curve. 86 units active in 2026 S1.
What students actually ask about UTS.
Open the AI tutor that knows UTS.
47,200 sessions of pattern. 86 units mapped. Whatever you're studying this week — Sia probably already knows where it gets hard. Start free with your UTS student email.
Start studying with Sia →Disclaimer · Methodology · Takedown
AskSia is an independent AI learning aid. The patterns on this page are derived from statistical meta-analysis of course materials voluntarily shared by UTS students. AskSia does not republish source materials — only derived patterns (question density distributions, faculty session aggregates, weekly rhythm). AskSia has no official affiliation with University of Technology Sydney, its faculty, or its administration. To request that specific source content not be used in our analysis, email takedowns@asksia.ai — we respond within 48 hours.