Universityorientation 2026is no longer just “I’ll follow my passion and see how it goes.” Between similar programs, study plans that change every year, and a thousand scattered pieces of information, choosing well means turning data and impressions into a reasoned decision. The good news: today you can useAI for university orientationto summarize documents, compare options, and get ready for open days with smart questions. In this article you’ll find an operational guide: open day checklists, concrete criteria, a comparison method, and a practical flow to reach enrollment with less stress and more clarity.
University open days June 2026: what to do before, during, and after
Theuniversity open days June 2026are useful only if you leave with comparable information. The goal isn’t “to feel the vibe” (which matters), but to gather data so you can put programs side by side without being guided by chance or marketing.
- Before: choose 3–5 “finalist” programs, download the study plan, and note down doubts about exams, labs, internships, Erasmus, and admission requirements.
- During: talk to at least 1 professor and 1 student/tutor; ask for concrete examples of workload, exam formats, and typical first-year projects.
- After: within 24 hours fill out a standard sheet for each program (same fields), so impressions don’t “blend together” and become comparable.
Materials to collect (or photograph):university study plan, course descriptions, academic regulations, a typical calendar, examples of exam papers (if available), internship opportunities, placement data, and useful contacts (tutor, internship office, student services). The more you standardize what you collect, the easier it becomes to decide.
How to choose a university and program: concrete criteria to decide (beyond “passions”)
If you’re wonderinghow to choose a universityin 2026, try using a decision grid with measurable criteria. Passions are a good starting point, but on their own they don’t tell you whether a program will help you grow, whether you’ll be able to keep up with the pace, or whether it will open coherent paths for you.
Here’s a simple grid: assign each criterion a weight (1–5) and a score (1–10). Then calculate the total. It’s not “perfect math,” but it reduces bias and forces you to justify your choices.
- Study plan: how many truly “core” exams are there? How much math/statistics/programming or how much hands-on/lab work? How up to date is it?
- Teaching method: lectures vs projects, group work, mandatory attendance, available materials, tutoring.
- Outcomes and placement: internships, partner companies, employment rate, average time, typical roles (not just “you’ll find a job”).
- Costs and sustainability: tuition, rent, transport, scholarships, possibility of working part-time without “skipping” the program.
- City and services: libraries, study spaces, housing, counseling services, ongoing guidance, student associations.
Practical tip: define 2–3 “non-negotiable” criteria (e.g., lots of hands-on work, Erasmus option, costs below a threshold). They’ll help you narrow options quickly before going into detail.
AI for university orientation: summarizing study plans and comparing degree programs
AI for university orientationworks well when you give it clear inputs: official documents, links to syllabi, PDFs of regulations, and course descriptions. The advantage isn’t “deciding for you,” but reducing reading time and making thecomparison of degree programsmore objective.
Three practical uses:
- Study plan summary: ask for a summary by year/semester with prerequisites, “key” exams, and expected learning outcomes.
- Comparison table: have it extract for each program ECTS credits by area (core, major-related, related), presence of labs, internship, thesis, and elective courses.
- Real differences between tracks: ask it to highlight what truly changes (e.g., more statistics vs more economics, more hardware vs more software) and which doors each choice opens.
To do it in an organized way, you can useStudierAIas a single “notebook”: you upload sources and documents, request consistent summaries, and get repeatable comparisons. The important thing is to always verify that summaries point back to sources (title, link, page) and don’t invent details.
Smart questions to ask universities (generated with AI) and how to evaluate the answers
A good open day becomes decisive when you ask questions that dismantle generic statements. You can get help from AI to generate tailored questions starting from your profile (strong/weak subjects, goals, constraints). Then evaluate the answers with a simple method:specificity(numbers/examples),consistency(with documents and website),transparency(stated limits), andrelevance(does it actually answer the question?).
- Internships: “How many students do a curricular internship? In which year? With what types of organizations/companies? Who finds it: the student, or is there an office that proposes positions?”
- Exams: “What’s the typical breakdown between written, oral, projects? Are there extra exam sessions? What percentage passes on the first attempt in first-year exams?”
- Workload: “How many realistic weekly hours between classes and individual study in the first semester? Which courses are the biggest ‘bottlenecks’?”
- Erasmus: “How many active agreements are there? In which countries? Are exams recognized easily? Is there a list of exams already ‘mapped’?”
- Placement: “At 6–12 months after graduation, which roles are most common? Do you have examples of (anonymous) alumni paths? What support do you provide for CVs and interviews?”
How StudierAI can help you turn orientation into a final choice
If you want to go from “I have too much info” to “I have a decision,” you need a flow. WithStudierAIyou can set up a practical 5-step path:
- Gather sources: official program links, regulations, study plans, orientation pages, and notes from open days.
- Summarize in a standard way: same fields for each program (key exams, labs, prerequisites, workload, internships, Erasmus, costs).
- Compare: generate a table and a “differences list” to understand what really changes between similar tracks.
- Prepare questions: create targeted sets for professors, tutors, and the registrar’s office, so the open day becomes a test of your hypotheses.
- Action plan: define deadlines (TOLC/admission, scholarships, housing), documents, and next steps up to enrollment.
You canstart for freeand build your comparison in a few hours instead of weeks. If you want to understand the approach and the mission, take a look atwho we are. The final goal is simple: arrive at a motivated choice, with backup alternatives and a realistic plan to start strong from the first semester.
