University of Passau BSc Artificial Intelligence

What is University of Passau BSc Artificial Intelligence?

BSc Artificial Intelligence is a full-time 6 semesters, 180 ECTS bachelor’s route in Passau focused on machine learning, algorithms, mathematics, data, intelligent systems and responsible AI. There is no ordinary tuition; the full planning total is about INR 40.22 lakh before flights and housing deposits.

Mathematics and core computer science lead into specialised artificial-intelligence study. This page plans for Winter 2027/28. The official programme and international-application pages control any later change to the curriculum, deadline or evidence list. It isn’t a promise that a later cycle will keep every date, module or condition unchanged.

How much does University of Passau BSc Artificial Intelligence cost?

The planning total is EUR 36,548 plus INR 18,000 for APS, approximately INR 40.22 lakh. It uses the University of Passau’s EUR 126.90 winter 2026/27 contribution and EUR 992 monthly funding guidance across 36 months. It is a planning model, not a bill or later fee promise.

Living money pays rent, food, insurance and daily expenses. Flights, temporary accommodation, refundable deposits and residence-permit costs are excluded. It doesn't cover a flight, a room deposit or an exchange spread. Euro items use EUR 1 = INR 109.5495, the ECB reference rate checked on 20 October 2026. Current recurring charges are held constant for planning.

“Blocked bank account (“Sperrkonto”) in Germany with sufficient funds to cover the first year of studies”German Missions in India, study visa funding rule

The German Missions in India funding rule supports the blocked-account figure used here. The rupee conversions use the European Central Bank reference series for 28 August 2026.

University of Passau publishes a EUR 126.90 winter 2026/27 semester contribution for its ordinary programmes. Industrial Engineering uses Universität Passau’s EUR 402 amount, while EMMaH participation fees cover consortium registration.

Passau housing can exceed the planning average. The monthly figure should therefore be stress-tested against an actual room offer rather than treated as a rent quote.

Scholarships and student wages are not deducted. Both are uncertain until confirmed, while the university and visa costs are due on a fixed timetable.

Can an Indian applicant meet University of Passau BSc Artificial Intelligence entry rules?

The academic route is a recognised university entrance qualification that permits undergraduate study in Germany. The programme also checks english, mathematics. Indian applicants with foreign qualifications use the University of Passau route through uni-assist and should prepare APS evidence.

BSc Artificial Intelligence begins with a recognised university entrance qualification that permits undergraduate study in Germany. BSc Artificial Intelligence treats english as The programme’s published English-language evidence. BSc Artificial Intelligence treats mathematics as Strong school-level mathematics preparation.

Evidence for this programme should connect named subjects, certificates and results to machine learning and algorithms. A syllabus or assessment record is more useful than asking Passau to infer preparation from an unfamiliar qualification title.

In BSc Artificial Intelligence, english evidence supports machine learning before progression towards AI engineering. In BSc Artificial Intelligence, mathematics evidence supports algorithms before progression towards data science. In BSc Artificial Intelligence, english evidence supports mathematics before progression towards software development. In BSc Artificial Intelligence, mathematics evidence supports data before progression towards analytics. In BSc Artificial Intelligence, english evidence supports intelligent systems before progression towards postgraduate study.

Three checks that decide BSc Artificial Intelligence

1. Map the BSc Artificial Intelligence academic condition

   The controlling academic test is a recognised university entrance qualification that permits undergraduate study in Germany. The BSc Artificial Intelligence file should show that condition directly rather than rely on unrelated achievements.

2. Use the BSc Artificial Intelligence international route

   An Indian applicant to BSc Artificial Intelligence uses Passau’s uni-assist application route and prepares APS evidence. This is not a VPD hand-off to a second university portal.

How should an Indian applicant apply for University of Passau BSc Artificial Intelligence?

The application begins with the programme conditions, APS and the academic file, followed by submission through the University of Passau international route. The working date is 15 July 2027 planning date for Winter 2027/28 and must be rechecked when the cycle opens. Allow time for the document checks.

International applicants with foreign qualifications apply to the University of Passau through uni-assist; this is not a separate VPD-first hand-off.

The allowances are Nbyula planning estimates, not processing times published by University of Passau.

The programme page establishes the subject and language evidence needed before payment or document upload.

APS processing and certified records can take time, so the India-specific file is best assembled before the application window becomes tight.

Names and qualification titles should remain consistent across the passport, records, APS, uni-assist and the later visa file.

What can follow University of Passau BSc Artificial Intelligence?

BSc Artificial Intelligence points towards AI engineering, data science, software development, analytics and postgraduate study. The inspectable evidence is AI projects, mathematical computing work and a bachelor’s thesis. Passau publishes no audited placement or salary distribution for this exact route. It isn’t a placement forecast.

The graduate route after BSc Artificial Intelligence provides search time, not a promised job, salary or residence result. It isn't an employment guarantee.

A graduate presenting BSc Artificial Intelligence can make AI projects, mathematical computing work and a bachelor’s thesis concrete by showing the problem, method, individual contribution and limits. That evidence is narrower and more credible than claiming every role across AI engineering, data science, software development, analytics and postgraduate study.

Vacancies related to BSc Artificial Intelligence still differ in language, technical depth and prior-experience expectations. The curriculum makes a direction plausible; an employer decides whether the applicant’s actual work meets a vacancy.

Within BSc Artificial Intelligence, machine learning supports later work in AI engineering; the assessed reference is AI projects, mathematical computing work and a bachelor’s thesis. Within BSc Artificial Intelligence, algorithms supports later work in data science; the assessed reference is AI projects, mathematical computing work and a bachelor’s thesis. Within BSc Artificial Intelligence, mathematics supports later work in software development; the assessed reference is AI projects, mathematical computing work and a bachelor’s thesis. Within BSc Artificial Intelligence, data supports later work in analytics; the assessed reference is AI projects, mathematical computing work and a bachelor’s thesis. Within BSc Artificial Intelligence, intelligent systems supports later work in postgraduate study; the assessed reference is AI projects, mathematical computing work and a bachelor’s thesis.

Who is BSc Artificial Intelligence for, and who should avoid it?

This bachelor’s route fits an applicant whose prior record supports the published academic test, who wants sustained work in mathematics and data and who can fund 6 semesters without assumed wages. The programme-specific mismatch and evidence limits matter as much as the positive subject fit.

The strongest BSc Artificial Intelligence file resolves each entry condition before it argues for motivation. Interest in mathematics and data cannot repair missing academic or language evidence.

The negative-fit test for this route is whether its language, subject depth and assessed format match the applicant’s record and goal. A household should also be able to carry about INR 40.22 lakh without treating employment as an enrolment condition.

For BSc Artificial Intelligence, choosing machine learning should be deliberate when the intended direction is data science. For BSc Artificial Intelligence, choosing algorithms should be deliberate when the intended direction is software development. For BSc Artificial Intelligence, choosing mathematics should be deliberate when the intended direction is analytics. For BSc Artificial Intelligence, choosing data should be deliberate when the intended direction is postgraduate study. For BSc Artificial Intelligence, choosing intelligent systems should be deliberate when the intended direction is AI engineering.

What does the 180 ECTS University of Passau BSc Artificial Intelligence curriculum contain?

The published full-time structure totals 180 ECTS across first-year advanced study, third-semester applied or research study, bachelor’s thesis. The table preserves the programme’s semester architecture and does not claim that every elective runs in every cycle. It also separates taught study from final work.

The note “Published credit block in the standard full-time sequence” applies to 3 components in this table.

• The standard full-time duration is 6 semesters
• The complete award carries 180 ECTS
• The current module handbook and timetable control elective availability

Assessment moves from advanced study through applied or research work to the final project and thesis. The balance of lectures, laboratories, projects and independent work should be checked in the current module handbook.

The official module handbook remains the source for named modules, prerequisites and assessment. Research topics, laboratories and elective availability can change by semester.

Should an Indian applicant shortlist BSc Artificial Intelligence?

Shortlist BSc Artificial Intelligence when the published entry route is already supportable, the assessed progression matches the evidence you want to build and the full budget works without assumed employment. The official course page still controls the final academic decision, and that check is binding.

The positive case for BSc Artificial Intelligence is a route through responsible AI and machine learning that culminates in independently assessed work.

The hard counter-case for this route is a conflict with its English delivery, required preparation or published study format. Passau also provides no audited exact-course outcome series for a loan model. That limitation can't be repaired by reputation or an assumed salary.

Sources

These sources support the programme, admission, cost and immigration information used on this page.

Sources checked on October 20, 2026. The next intake covered here is Winter 2027/28.