5 Allocate+ tips most students miss

By Smoov Team

20 March 2026 - Updated 24 March 2026

TL;DR

Allocate+ is the enrolment system used by over 30 Australian universities, and it has two fundamentally different models: first-come first-served (used by UTS, UNSW, Macquarie, and most others) and preference-based allocation (used by USYD). Know which one your university uses before you start - the optimal strategy is different for each. Import your Allocate+ data directly into Smoov to skip manual entry entirely and get an instant view of every possible combination. Always check availability before building your plan, because popular tutorial slots fill within minutes of enrolment opening. Rank every activity even if you only care about one or two, and optimise across all your subjects at once rather than picking the best time per subject in isolation. Students who optimise holistically report fewer clashes and shorter campus days on average.

Allocate+ is the class enrolment system used by dozens of Australian universities. It's powerful - but confusing enough that most students miss features that could save them hours of frustration. Here are five things worth knowing before your next enrolment round.

Preference mode vs first-come first-served

Not all universities use the same enrolment model. Some run FIFS (first-come first-served), where the fastest clicker wins. Others - including USYD - use preference-based allocation, where you rank your preferred class times and the system allocates based on your rankings after a processing window closes.

This distinction matters more than most students realise. At FIFS universities like UTS and Macquarie, being online the moment enrolment opens is a real advantage. Popular tutorial times fill in minutes. If you have not already decided which classes you want - with backups ready - you will be left choosing from whatever remains.

At preference-based universities, the calculus is completely different. There is no benefit to clicking fast. What matters is ranking thoughtfully - making sure your acceptable options are all ranked, not just your top choice.

If your uni uses preference mode, there's no benefit to being online the second enrolment opens. Take the time to rank thoughtfully instead.

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You can import directly into Smoov

If your uni uses Allocate+, you can export your subject data and import it directly into Smoov rather than entering everything by hand. Read the step-by-step importing guide for full instructions for your specific university.

1In Allocate+, use the export or JSON option from the subject data page.

2Drop the file into Smoov's import dialog - it reads the format directly.

3Your subjects and class options load instantly - times, types, and all available groups - ready for optimisation.

4No manual entry, no typos, no missing time slots that only show up later.

If you're at UTS, UNSW, or another supported university, direct import is available - check your university's page for the specific steps.

Check availability before you plan

Allocate+ shows class availability in real time during FIFS rounds, but the numbers move fast. Before you build your timetable plan, screenshot or note down which class groups are actually available.

There's no point optimising around a tutorial that fills before you get there. If you're using preference mode, availability is less urgent - but it's still worth knowing which options are oversubscribedheading into the allocation window. An oversubscribed class in preference mode does not mean you will not get it - allocation factors in everyone's rankings - but it does mean your lower-ranked preferences matter more as a fallback.

A quick availability check also tells you which tutorial times are genuinely popular. Popular times are popular for a reason - they tend to be the good ones. If a 10am Wednesday tutorial filled immediately and an 8am Monday one still has 20 spots, that is useful signal about which option is worth fighting for.

Building a perfect plan around a class that's already full wastes the most valuable resource: the minutes before enrolment opens.

Submit preferences for every activity

In preference mode, skipping a preference ranking for one activity can leave the system to allocate you whatever's left.

Even if you have a strong preference for just one or two time slots, fill out rankings for the full list. A lower-ranked option you're okay with beats a random assignment from the system. And random assignments tend to cluster in the slots nobody wanted - which are usually the early mornings and late Fridays that filled last.

Think of it this way: ranking every option takes five extra minutes. Getting assigned an 8am Friday lab because you did not rank it at all costs you every Friday morning for 13 weeks.

What are the most common mistakes students make with Allocate+?

Beyond the tips above, a few patterns show up repeatedly:

Treating FIFS like preference mode and vice versa. Students at preference unis stress-refreshing on enrolment day for no benefit; students at FIFS unis calmly ranking options while their preferred tutorials fill.

Only checking the first page of available classes. Allocate+ often paginates results, and the later pages can include later-opening spots or classes on satellite campuses.

Not accounting for clash detection. Allocate+ may warn you about clashes but some configurations slip through, especially for back-to-back classes on different campuses that require travel time.

Treating each subject in isolation. More on this below.

How to recover when your first preference fails

In FIFS mode, your preferred tutorial filled before you got there. In preference mode, you were allocated your third or fourth choice. Either way, the plan you built is now invalid. Here is how to approach it:

First, do not assume the situation is fixed. In FIFS mode, spots open throughout the first two weeks of semester as students adjust their enrolments. Set a reminder to check back two or three times in the week after results come out. Many students get their preferred option through a second check rather than the initial enrolment window.

Second, rebuild your timetable plan from the new starting point. Do not try to salvage the old plan by working around one bad class. Feed your updated available options back into Smoov and regenerate - the solver will find the best combinations from what is actually available, not what you originally hoped for.

A fallback plan prepared before enrolment opens takes 15 minutes. Scrambling to rebuild after the fact takes hours and usually produces a worse outcome.

Optimise across subjects, not per subject

The biggest mistake students make is picking the best time for each subject independently. That ignores how they interact.

The 10am Tuesday tutorial that looks great in isolation might clash with your Monday lecture running late.

It might create a dead two-hour gap, or mean four consecutive campus days.

Two subjects that both have good individual options might combine into a terrible week when placed together.

Smoov evaluates combinations across all your subjects at once, so you see how each schedule actually stacks up as a week - not just as individual selections.

This is the core reason timetable optimisation is worth doing properly. The combinatorial space is large enough that human intuition consistently misses better options. Running the numbers across all subjects simultaneously surfaces combinations that would never be obvious from a subject-by-subject approach.

One great class time plus three poor ones is a bad week. Optimise the full picture, not individual slots.

Allocate+ preferences explained: FIFS vs preference-based enrolment How to build the perfect uni timetable Why you should never take 8am classes (and how to avoid them)