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Augsburg MSc Data Science

University of Augsburg · Faculty of Applied Computer Science · Augsburg, Germany
  • English B2
  • 2 years, 120 ECTS
  • On campus, full time
13 min read · Published on September 7, 2026 · Updated on November 2, 2026
Full programme planINR 35.33 lakh

Published charges, living benchmark, APS and visa

TuitionNo tuition

current university rule

Duration2 years

120 ECTS full time

IntakeSummer 2027

next planned entry

Deadline1 Mar 2027

official exclusion deadline

Entrygrade 2.70 and seven exact subject-credit checks

subject-specific assessment

LanguageEnglish B2

published programme rule

What is University of Augsburg MSc Data Science?

The MSc Data Science is a 2 years programme in Augsburg with published tuition of No tuition. MSc Data Science combines the taught sequence with the final work published for this exact award. The complete planning total shown here is INR 35.33 lakh. The current official course and fee pages control the final offer.

A joint computer science and mathematics core leads into flexible advanced methods and a six-month thesis. This page covers Summer 2027. Before applying, compare completed modules, grades and language evidence with the course’s exact admission screen.

The application audit requires content and method descriptions, not merely plausible subject names on a transcript.

MSc Data Science doesn’t guarantee admission, isn’t a job offer and can’t replace the published academic preparation or a workable funding plan.

How much does MSc Data Science at the University of Augsburg cost?

For planning, use EUR 31,927.80 plus INR 26,400, or about INR 35.33 lakh, across 24 months. Augsburg charges no tuition for this full-time master’s. The total uses the top of the university’s current living range, four semester contributions, APS and the adult national visa fee.

ItemINRLocal currencyWhen it is due
TuitionINR 0EUR 0No tuition under the current university rule
Living plan for 24 monthsINR 34.26 lakhEUR 31,200EUR 1,300 monthly, top of the published range
Semester contributions, 4 semestersINR 79,924EUR 727.80EUR 181.95 each at the Winter 2026/27 rate
APS verification feeINR 18,000INR 18,000Before APS verification
German national visa feeINR 8,400INR 8,400At the adult visa appointment, current mission rate
Full programme planning totalINR 35.33 lakhEUR 31,927.80 plus INR 26,400Before flights, deposits, translations and bank spreads

The current EUR 11,904 first-year blocked-account figure remains the student’s living money. It is not added again above the 24-month living plan. Converted at EUR 1 = INR 109.8165 using the European Central Bank reference rate for 4 September 2026. Flights, deposits, translations, uni-assist charges where applicable and bank spreads are excluded.

“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.

The current EUR 11,904 first-year blocked-account figure remains the student’s living money. It is not added again above the 24-month living plan. Converted at EUR 1 = INR 109.8165 using the European Central Bank reference rate for 4 September 2026. Flights, deposits, translations, uni-assist charges where applicable and bank spreads are excluded.

The University of Augsburg cost guidance supports the living range and no-tuition position. The APS India graduate leaflet gives the verification fee, while the German Missions in India student visa guidance supports the national-visa financial evidence. The rupee conversions use the European Central Bank reference file dated 4 September 2026.

The programme lasts 2 years and the cost table covers 24 months. The Winter 2026/27 semester contribution is EUR 181.95. The actual enrolment notice controls later contributions and any course-specific charge.

Can an Indian applicant enter University of Augsburg MSc Data Science?

Applicants need a relevant bachelor’s degree with a German-equivalent grade of 2.70 or better. Applicants must document 5 ECTS each in multivariate analysis, linear algebra, algorithms or numerical methods, and a discrete structures, database or data engineering area, plus 4 ECTS each in programming-language foundations, practical programming, and data science or machine learning.

RequirementPublished ruleWhat you do
MSc DS degree test (India)Applicants need a relevant bachelor's degree with a German-equivalent grade of 2.70 or better.For MSc Data Science, document grade 2.70 and seven exact subject-credit checks from the academic record
MSc DS subject matrix (India)Applicants must document 5 ECTS each in multivariate analysis, linear algebra, algorithms or numerical methods, and a discrete structures, database or data engineering area, plus 4 ECTS each in programming-language foundations, practical programming, and data science or machine learning.For MSc Data Science, map modules against the stated subject rule
MSc DS language position (India)English B2 is required and German is not mandatory. Some electives or exercise groups may be in German.For MSc Data Science, attach only an accepted language certificate
MSc DS rejection risk (India)A software-heavy degree can fail the multivariate analysis, linear algebra or formal methods checks even with relevant employment.For MSc Data Science, resolve the named rejection risk before submission
Indian records for MSc DS (India)APS is required for an Indian degree. No VPD is required, but complete official module descriptions and credit or contact-hour evidence are essential.For MSc Data Science, annotate the transcript against grade 2.70 and seven exact subject-credit checks
Programme admission chances (India)University of Augsburg does not publish a programme-level intake size or acceptance rate for MSc Data Science on the official pages checked on 2 November 2026.Treat admission as a requirements decision, not a published probability.
Backlogs (India)No blanket backlog limit is published for MSc Data Science; the complete transcript and awarded degree are assessed.Disclose every attempt and backlog in the official transcript.
Three-year Indian bachelor's (India)No blanket statement accepting every three-year Indian bachelor's is published for MSc Data Science.Ask Admissions for a written equivalence decision before paying non-refundable costs.
Scholarships for Indian applicants (India)No scholarship reserved for Indian applicants is promised on the MSc Data Science programme page.Use only awards whose nationality and programme rules explicitly include you.

For MSc Data Science, read the course-specific admission evidence before classifying the degree as related. Applicants need a relevant bachelor’s degree with a German-equivalent grade of 2.70 or better.

In MSc Data Science, the decisive transcript issue is grade 2.70 and seven exact subject-credit checks. Applicants must document 5 ECTS each in multivariate analysis, linear algebra, algorithms or numerical methods, and a discrete structures, database or data engineering area, plus 4 ECTS each in programming-language foundations, practical programming, and data science or machine learning. A software-heavy degree can fail the multivariate analysis, linear algebra or formal methods checks even with relevant employment.

Admission chances: University of Augsburg does not publish a MSc Data Science cohort size, acceptance rate or typical admitted GPA on the official pages checked on 2 November 2026. Meeting the minimum is not an offer guarantee.

“Applicants must document 5 ECTS each in multivariate analysis, linear algebra, algorithms or numerical methods, and a discrete structures, database or data engineering area, plus 4 ECTS each in programming-language foundations, practical programming, and data science or machine learning.”University of Augsburg official programme requirements

How should an Indian student apply for Augsburg MSc Data Science?

The current planning intake is Summer 2027. The summer application deadline is 1 March, with 1 December recommended for applicants who need a visa. Indian degree holders submit APS and the documents listed on this programme’s own page. Applicants should treat the published deadline as controlling and allow separate time for APS, document preparation and the later visa file.

APS, the VIBS university application, the programme assessment where required, then the student visa

StepTaskAllowanceWhy it matters
01Resolve academic fit21 daysMap the transcript to the programme's grade, subject-credit and language rules.
02Start APS verification75 daysAllow time for academic verification and, where stated, six to eight weeks for uni-assist.
03Prepare programme evidence35 daysAssemble transcripts, the grading scale, module descriptions, language proof and selection documents.
04Submit through VIBS14 daysLeave time for portal and document defects before the published closing date.
05Prepare the post-offer visa file60 daysUse the admission, funding, insurance and identity documents for the national visa file.

These allowances are preparation estimates, not university processing times.

APS, the VIBS university application, the programme assessment where required, then the student visa

These are planning allowances and a sensible task order, not processing times or start dates published by the University of Augsburg. The programme deadline shown above remains the controlling date.

The official programme page controls the route. Apply directly through VIBS with APS, degree and transcript, full official module descriptions and B2 English proof. No VPD is required.

What jobs can follow University of Augsburg MSc Data Science?

The curriculum supports data science, AI, big data, process optimisation, health-data and research directions. The closest supported directions are data scientist, machine learning specialist, data engineer. The university publishes no programme-level placement rate or graduate salary table. For MSc Data Science, use these as curriculum-linked directions rather than a forecast of an individual graduate’s hiring result.

MeasureFigureBasis
MSc DS role directionsdata scientist, machine learning specialist, data engineerThe curriculum supports data science, AI, big data, process optimisation, health-data and research directions.
MSc DS evidence limitThe university publishes no programme-level placement rate or graduate salary table.Exact programme evidence sweep
German job-search period after MSc DSUp to 18 monthsResidence Act section 20, with sufficient funds

The evidence limit for MSc Data Science is explicit. The university publishes no programme-level placement rate or graduate salary table. The legal job-search period is time to seek suitable work, not an employment promise.

The evidence limit for MSc Data Science is explicit. The university publishes no programme-level placement rate or graduate salary table. The legal job-search period is time to seek suitable work, not an employment promise.

Within MSc Data Science, the defensible directions are data scientist, machine learning specialist, data engineer. They follow the named methods, specialisation and thesis rather than a university-wide jobs claim.

The official MSc Data Science programme page and the university career material linked in Sources were checked on 2 November 2026. No programme-level intake size, acceptance rate, audited placement rate, named recruiter list or salary table was published there. No salary is quoted on this page without a source.

Who is University of Augsburg MSc Data Science for?

Applicants who clear the published subject and language checks and plan to use this curriculum in data scientist work are the clearest match. Adjacent-field graduates need a module-level ruling. Anyone missing a firm admission condition should not assume that a related degree title can compensate.

VerdictYour backgroundWhy
Strong fitA data science or computer science graduate with assessed mathematics and algorithmsIts record can support Core Data Science Methods and later master's thesis.
Needs evidenceA mathematics graduate with substantial programming and data science creditsIt needs a module-by-module answer to this risk. A software-heavy degree can fail the multivariate analysis, linear algebra or formal methods checks even with relevant employment.
Do not shortlistAn applicant relying on work experience or MOOCs to cover missing university modulesWork experience, ordinary online courses and module titles do not repair missing assessed credits.

A strong file shows why a data science or computer science graduate with assessed mathematics and algorithms is ready for Core Data Science Methods.

A written module-level decision before payment is necessary for a mathematics graduate with substantial programming and data science credits.

What does the University of Augsburg MSc Data Science curriculum contain?

The official 120 ECTS structure lists Core Data Science Methods, Advanced methods and electives, Data Science project, Two seminars and ethics. The table shows the credit balance. The current regulations and module catalogue control sequencing and availability. Applicants use it to see how compulsory study, choice and the final research work divide the degree.

CodeComponentECTSWhere it sits
DS-CCore Data Science Methods32Algorithms, data engineering, machine learning and mathematical methods
DS-EAdvanced methods and electives36Flexible specialisation, minimum credit floor
DS-PData Science project10Applied research or industry-motivated work
DS-STwo seminars and ethics12Computer science, mathematics and social aspects
DS-TMaster's thesis30Six-month independent research
Total120
  • Complete the approved 120 ECTS programme
  • Follow the examination regulations for compulsory and elective credits
  • Module availability and sequencing can vary by semester

The published credit map gives MSc DS a distinct academic centre. Its first block is Core Data Science Methods, while the final block is master’s thesis.

The listed groups total 120 ECTS and show the balance between required study, choice and independent work. An elective heading does not guarantee that every named class runs in every term.

The published curriculum for MSc Data Science lists Core Data Science Methods, Advanced methods and electives, Data Science project, Two seminars and ethics, and Master’s thesis. The linked official material describes these entries as Algorithms, data engineering, machine learning and mathematical methods; Flexible specialisation, minimum credit floor; Applied research or industry-motivated work. These are programme facts, not a claim about admission, module availability, salary or employment.

The published curriculum for MSc Data Science lists Total. These are programme facts, not a claim about admission, module availability, salary or employment.

Should an Indian student shortlist University of Augsburg MSc Data Science?

Shortlist MSc Data Science only if the programme’s distinguishing feature serves your intended work. The differentiator comes from its explicit balance of mathematical depth, computing methods and applied data science, but it won’t compensate for a failed admission condition. Clear every published requirement before any application or relocation payment.

The strongest academic case connects prior study with Core Data Science Methods and the later master's thesis. This is preparation for work such as data scientist, not a promise of admission or employment.

Work experience, ordinary online courses and module titles do not repair missing assessed credits. This makes academic fit the first decision. It doesn't settle cost, housing, visa or employment, which remain later and separate tests.

Decision checks complete cost · entry fit · application timing · outcome evidence

Key takeaways
  • MSc Data Science is a full-time, 120 ECTS programme designed for 2 years.
  • The course combines mathematical foundations, algorithms, data engineering, machine learning, ethics and a substantial applied project.
  • A software-heavy degree can fail the multivariate analysis, linear algebra or formal methods checks even with relevant employment.
  • The baseline current-cost plan is about INR 35.33 lakh before variable exclusions.
  • The university publishes no programme-level placement rate or graduate salary table.

Frequently asked questions

What is the full cost of University of Augsburg MSc Data Science?

Use EUR 31,928 plus INR 26,400, or about INR 35.33 lakh, as the current 24-month baseline plan. It combines the supported tuition, living, contribution, APS and visa lines for this route. Flights, deposits, translations, bank spreads and future price changes remain outside the figure.

What is the entry requirement for MSc Data Science?

Augsburg checks grade 2.70 and seven exact subject-credit checks. The subject-content, language and document rules apply separately. Submit the full transcript, original grading scale, module descriptions and APS evidence. The university decides equivalence, so don't substitute a self-converted Indian percentage or CGPA.

Is University of Augsburg MSc Data Science taught in English?

The language rule is programme-specific. English B2 is required and German is not mandatory. Some electives or exercise groups may be in German. Teaching in English does not remove the programme's exact language-evidence rule. Check the accepted certificates and minimum scores on the programme page for the selected intake.

When is the application deadline for University of Augsburg MSc Data Science?

The summer application deadline is 1 March, with 1 December recommended for applicants who need a visa. The University of Augsburg assigns master's admissions to individual faculties, so deadlines differ by programme, nationality and degree origin. The course page and its application instructions control the next application. Do not substitute a date from another Augsburg master's.

Does an Indian applicant need APS for University of Augsburg?

APS is required for academic qualifications earned in India unless a published exemption applies, and it supports the later student-visa file. The current APS India rules decide the applicable verification route. Start early because an incomplete verification chain can delay the university application or the visa even when academic fit is strong.

What can I study in University of Augsburg MSc Data Science?

The published 120 ECTS structure includes Core Data Science Methods, Advanced methods and electives, Data Science project, Two seminars and ethics. The examination regulations and semester module catalogue control compulsory credits, elective availability, sequencing and thesis rules. A catalogue option is not a guarantee that every class runs in every term.

Does University of Augsburg MSc Data Science guarantee a job?

No. Relevant directions include data scientist, machine learning specialist, data engineer, but no exact programme placement rate or salary distribution was found. Research links, projects and Germany's labour market can support a search. They do not guarantee an employer, income, sponsorship or permanent residence.

Can I stay in Germany after this master's?

Section 20 of the German Residence Act can allow up to 18 months after successful completion to seek qualifying work, provided the graduate can support themselves. This is conditional job-search time. It does not guarantee employment, sponsorship, permanent residence or the same rule in a future year.

Sources

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

Sources checked on November 2, 2026. The next intake covered here is Summer 2027.

No.SourceEvidence role
01University of Augsburg MSc Data Science programme pageCore programme evidence
02Programme application guidanceCore programme evidence
03University of Augsburg application deadlinesCore programme evidence
04APS IndiaCore programme evidence
05German Missions in India student visa guidanceCore programme evidence
06University of Augsburg housing guidanceCore programme evidence
07German Residence Act section 20Core programme evidence
08European Central Bank EUR to INR rateCore programme evidence
09University of Augsburg semester feesCore programme evidence
10Data Science programme, curriculum and admission rulesCore programme evidence
11Data Science examination regulation dated 17 February 2025Core programme evidence
12University of Augsburg tuition and living guidanceSupporting external evidence
13German Missions in India student visa funding ruleSupporting external evidence

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