UR MSc Data Science

What is the University of Regensburg MSc Data Science?

At Regensburg, MSc Data Science uses 120 ECTS over four full-time semesters to develop statistics, machine learning, mathematical modelling, programming and applied data work. For MSc Data Science, the syllabus moves from Compulsory area including thesis towards Specialisation through assessed study, and those blocks define the full-time route.

The selection route is a three-stage aptitude assessment. Although tuition is zero, four semester contributions and 24 months of living funds produce a INR 27.30 lakh planning total for India. Travel and the first housing deposit aren’t included.

How much does University of Regensburg MSc Data Science cost?

The two-year planning total is EUR 24,879.01, approximately INR 27.30 lakh. It combines 24 months at the university’s EUR 992 planning benchmark, four current semester contributions, the German visa fee and the APS fee paid in India. Flights and housing deposits remain outside it.

The EUR 11,904 blocked account is the first twelve months of living money and is not added again. VFS charges and provider fees remain outside this total. Euro items use EUR 1 = INR 109.75, the ECB reference rate published on 3 September 2026. The winter 2026/27 contribution is held constant for planning and can change.

“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 dated rupee conversion and its European Central Bank reference series are stated directly in the cost note above.

The University of Regensburg charges no ordinary tuition for this consecutive master’s. The EUR 208 winter 2026/27 semester contribution still applies at enrolment and re-registration, and a later semester can set a different amount.

The EUR 992 monthly benchmark is the national living-funds figure used in this planning case. It remains the student’s money for rent, food and insurance, so it is not added again as a separate fee.

APS, VPD, translations, travel, insurance differences and a housing deposit create separate timing and cash-flow pressure. Only the APS base fee is included here because the other amounts depend on the applicant and provider.

Can an Indian applicant meet University of Regensburg MSc Data Science entry rules?

For MSc Data Science, first establish a 180 ECTS degree at German grade 2.5 or better. A complete file must also answer the published tests on data-science map, gre for an indian degree, essay and document English B2. For MSc Data Science, completed subject evidence matters more than an award label alone.

For MSc Data Science, pair every relevant transcript line with its credit value, grade and a syllabus page. This makes an Indian curriculum legible to the selection committee instead of asking it to infer content from course names.

The course asks for English B2. Submit one of its accepted proofs; any admission waiver remains separate from the language assessment a visa officer can make.

A tidy document file is not automatically an eligible one. The academic thresholds still control the decision when every form has been uploaded.

Checks that matter specifically for MSc Data Science

1. The first academic test for MSc Data Science

   At least 30 recognised ECTS from a 54 ECTS matrix, including statistics or machine learning, mathematics and programming.

2. The evidence standard for MSc Data Science

   Completed credits, grades and supporting descriptions must make the named condition verifiable. The award title by itself is not a content map.

How should an Indian applicant apply for University of Regensburg MSc Data Science?

The route starts with VPD and APS, then moves to the University of Regensburg Campusportal Before 1 December 2026 for Summer 2027. The page currently states 1 december 2026. Academic mapping and language evidence should be complete before submission. Every MSc Data Science upload belongs to one complete application.

International applicants first obtain the uni-assist VPD, then submit the programme application through the University of Regensburg Campusportal or the responsible faculty route named on the programme page. APS is an additional Indian-document requirement, not a substitute for VPD.

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

The first task is the MSc Data Science subject test because a complete document upload cannot repair missing academic content. The VPD needs an early start, while Campusportal and faculty instructions remain together because Regensburg uses programme-specific routes.

APS, VPD, degree records, module descriptions and language evidence can move on separate timelines. Names and award details should match across the passport, university documents and both verification processes.

The university has published 1 December 2026 for Summer 2027, making it the file-complete date for planning. The official programme page remains the final check before submission.

What jobs can follow University of Regensburg MSc Data Science?

Published directions span data science, data engineering, quantitative analysis, machine learning, biomedical data and industrial analytics. For a MSc Data Science graduate, the evidence behind those claims is a reproducible data project, a declared specialisation and a research thesis, not an unpublished salary forecast.

A German graduate residence period can provide job-search time after MSc Data Science; an offer, pay level and later skilled-work residence title still require separate decisions.

A reviewer can connect the course’s specialist work to a reproducible data project, a declared specialisation and a research thesis. Any project record should state the student’s own contribution and omit protected or confidential material.

For research applications, a reproducible data project, a declared specialisation and a research thesis can demonstrate subject depth. Doctoral admission still needs an appropriate question, supervisor and institutional decision beyond the master’s award.

German proficiency may broaden access to data science, data engineering, quantitative analysis, machine learning, biomedical data and industrial analytics. An English-taught degree removes a classroom barrier, not every language expectation in a workplace or in daily life.

Who is University of Regensburg MSc Data Science for, and who should avoid it?

The best fit combines defensible Data-science map evidence with readiness for GRE for an Indian degree. MSc Data Science becomes risky when either the subject preparation or the living-cost plan is missing. For MSc Data Science, readiness for Specialisation supplies the final academic-fit test and cannot be inferred from the award title.

The Data-science map evidence needs preparation before money is committed to VPD, APS or tests. The GRE for an Indian degree condition is independent and cannot be assumed from the degree title.

The assessment path reaches Specialisation. Someone who dislikes that form of work should not be persuaded by the absence of ordinary tuition.

Housing, insurance and daily expenses need funding before employment begins. Paid work can add experience during MSc Data Science, but it can’t be assigned a reliable start date or income.

What does the 120 CP University of Regensburg MSc Data Science curriculum contain?

The 120 ECTS syllabus places Compulsory area including thesis, Machine Learning and Statistics and Specialisation in one four-semester sequence. Students move from taught or supervised foundations into specialist work and final independent assessment, while the current module catalogue controls the exact elective offering.

• The standard full-time duration is four semesters
• The complete award carries 120 CP
• Current module catalogues control elective availability

The credit table separates the published blocks rather than inventing a term-by-term timetable. The programme reserves at least 12 ECTS for Machine Learning and Statistics and 42 ECTS for a specialisation, alongside a compulsory area that includes the thesis.

Current module catalogues control named electives and research topics within MSc Data Science. Availability can change with staffing, supervision and the semester’s timetable.

Should an Indian applicant shortlist University of Regensburg MSc Data Science?

A defensible MSc Data Science choice connects the applicant’s previous work to Compulsory area including thesis and accepts Specialisation as the closing assessment. It also needs independent funding for four semesters. For MSc Data Science, the Machine Learning and Statistics element adds a separate reason to examine the course design and its assessment demands closely.

The academic value is inspectable in the movement from Compulsory area including thesis to Specialisation. That is a course-design argument, not evidence of a hiring rate or starting salary.

Selection can still reject an apparently adjacent degree after its content is examined. That doesn't remove the need for living funds throughout MSc Data Science when paid work is unavailable.

Sources

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

Sources checked on September 4, 2026. The next intake covered here is Summer 2027; 1 december 2026.