If you’re reading this, you’ve probably already opened 15 tabs in your browser: study plans, presentation dates, “what X faculty is like” videos, Telegram groups, rankings. Welcome to the mood ofuniversity open days 2026: lots of choice, little time, and the feeling that a “wrong” decision will haunt you for years. Spoiler: it doesn’t work like that. But it’s true that choosing well saves you months of anxiety and, often, money.
The new part in 2026 is that you don’t have to do everything “by gut feeling” or by copying the choice of the friend who seems most confident. Today you can use AI as a guidance companion: it helps you gather info, make clean comparisons, and bring order to real priorities and biases (like: “this city is cool so it must be the perfect university”). In this article I’ll explain how to use(it forces you to define criteria) andboosts comparison
University open days 2026: what’s changing (and why AI can help you)
June 2026: open days are increasingly “hybrid.” Some universities still do the classic day with booths and tours, but almost all add online sessions, Q&As on Teams/Zoom, recorded mini-lectures, and chats with tutors. Result: more material available… and more chaos, because the info is scattered and often written in regulation-speak.
Also, in 2026 enrollments keep moving in “waves”: highly in-demand programs (healthcare, data/AI, some engineering fields) and others that fill up more slowly but offer great opportunities if chosen with criteria. The point isn’t to chase the trend: it’s to understandwhat kind of work and lifeyou want to build over the next 3–5 years, and with what trade-offs (time, money, city, stress).
Here AI is useful because it does three things that, as students, we do poorly when we’re anxious:reduces noise(summarizes and organizes),reduces bias(it forces you to define criteria) andboosts comparison(puts two programs “into a mental table” without making you waste hours). It doesn’t decide for you: it helps you decide better.
Preparing for the open day with AI: planner, checklist, and “smart” questions for professors and students
The difference between “I went to the open day” and “I understood whether it’s for me” is preparation. If you show up without a plan, you only remember the city, the cafeteria, and the freebie. If you show up with a checklist, you go home with useful data.
How to use AI, in practice:
- . If you first want to understand the project and the people behind it, there’s also
- Build a checklist of criteria: teaching (lectures vs labs), exam format, prerequisites, mandatory attendance, internships, Erasmus, services, transport, housing, psychological support and tutoring.
- Prepare a set of “smart” questions, different for professors, students, and the admin office. AI helps you turn a generic question (“what’s the program like?”) into a measurable one.
StudierAI for university guidance: from personal profile to a personalized study plan
- If you want to try it, you can
- To students: “In a normal week, how many hours between classes, studying, and projects? What’s the exam that surprised you (in a good or bad way) and why?”
- I generate a weighted pros/cons comparison based on my priorities (not generic ones). Like: if internships and labs matter to me, I don’t want them ending up at the bottom of the page.
- I create a profile: real interests (what comes naturally for me to study), things I don’t want (e.g., too much theory without applications), constraints (budget, distance, need to work).
Student tip: during the open day, record voice notes (if it’s convenient) and then have AI transcribe and summarize them into one page: “Pros,” “Cons,” “Questions left,” “Things to verify.” That way you don’t end up 48 hours later with notes like “nice prof, big classroom, idk.”
Comparing programs and universities with AI: study plans, courses, workload, and outcomes
After the open day comes the toughest part: comparing. Because two programs can have the same name and be completely different. And vice versa: programs with different names can lead you to similar skills.
I load in the options: 2–5 programs/universities I’m considering, with study plans and notes from the open days.choosing a faculty with artificial intelligenceI generate a weighted pros/cons comparison based on my priorities (not generic ones). Like: if internships and labs matter to me, I don’t want them ending up at the bottom of the page.
I get a list of “final checks”: documents to review, remaining questions, people to contact again (student tutors, admin office, professor).
- And the most interesting part: the
- . Not in the sense that you change the official plan (the university decides that), but in the sense that you build a strategy: which exams to take first, which skills to add alongside (language, tools, certifications), what kind of internship to look for and when. It’s the most practical way to go from “I choose a faculty” to “I prepare for a path.”
- If you want to try it, you can
- or
. If you first want to understand the project and the people behind it, there’s also
Important note: AI can be wrong or oversimplify. So use it as a filter and organizer, then always verify on official sources (study plan, call for applications, regulations). If you give it PDFs and complete texts, it works better; if you give it “hearsay,” it gives you “hearsay” in a more elegant form.
Mini final check (save it): after the open days, if you’re left with two options, don’t ask yourself “which is the best?” Ask yourself:
Let’s talk about the part that’s often treated as a “detail” and then becomes the number one problem:university cost Italy 2026I create a profile: real interests (what comes naturally for me to study), things I don’t want (e.g., too much theory without applications), constraints (budget, distance, need to work).
AI is useful here because it makes you think in scenarios, not in “I hope so.” Example: “If I find a room at €450 vs €650, how much does my annual budget change? If I go home 2 weekends a month, how much do I spend? If I work part-time 10 hours a week, can I handle the exam load?”
. Not in the sense that you change the official plan (the university decides that), but in the sense that you build a strategy: which exams to take first, which skills to add alongside (language, tools, certifications), what kind of internship to look for and when. It’s the most practical way to go from “I choose a faculty” to “I prepare for a path.”
- If you want to try it, you can
- or
- . If you first want to understand the project and the people behind it, there’s also
.studierai off campus aiMini final check (save it): after the open days, if you’re left with two options, don’t ask yourself “which is the best?” Ask yourself:
StudierAI for university guidance: from personal profile to a personalized study plan
Okay, it’s nice to use AI “in pieces”: one prompt for the checklist, one for the budget, one to compare study plans. But the real shift is when you connect everything into a single path: personal profile → criteria → comparison → next steps. That’s exactly the kind of flowStudierAIMini final check (save it): after the open days, if you’re left with two options, don’t ask yourself “which is the best?” Ask yourself:
is built for. How I’d use it, as a student who wants to decide by July without losing my mind:
- I create a profile: real interests (what comes naturally for me to study), things I don’t want (e.g., too much theory without applications), constraints (budget, distance, need to work).
- I load in the options: 2–5 programs/universities I’m considering, with study plans and notes from the open days.
- I generate a weighted pros/cons comparison based on my priorities (not generic ones). Like: if internships and labs matter to me, I don’t want them ending up at the bottom of the page.
- I get a list of “final checks”: documents to review, remaining questions, people to contact again (student tutors, admin office, professor).
And the most interesting part: thepersonalized study plan ai. Not in the sense that you change the official plan (the university decides that), but in the sense that you build a strategy: which exams to take first, which skills to add alongside (language, tools, certifications), what kind of internship to look for and when. It’s the most practical way to go from “I choose a faculty” to “I prepare for a path.”
If you want to try it, you canstart freeorsign up free. If you first want to understand the project and the people behind it, there’s alsowho we are.
Mini final check (save it): after the open days, if you’re left with two options, don’t ask yourself “which is the best?” Ask yourself:in which option can I stay consistentfor 3 years, with my real constraints? That’s what AI is for: clearing the fog, not adding pressure.
