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University of Hildesheim MSc Data Analytics

University of Hildesheim · Faculty 4 Mathematics, Natural Sciences, Economics and Computer Science · Hildesheim, Germany
  • Full time, 4 semesters
  • English, IELTS 6 or equivalent
  • 120 ECTS
11 min read · Published on September 4, 2026 · Updated on September 4, 2026
Two-year planning totalINR 30.88 lakh

Living costs, semester fees, visa and application.

TuitionEUR 0

ordinary degree tuition

Semester feeEUR 469.85

2026 published rate

Duration2 years

120 ECTS full time

StartWinter or summer

Summer 2027

Deadline15 December 2026

recheck the named cycle

ApplicationDirect portal

Faculty 4 review

What is the University of Hildesheim MSc Data Analytics?

Hildesheim’s MSc Data Analytics carries 120 ECTS over four full-time semesters. It requires English, IELTS 6 or equivalent and is currently planned for Summer 2027. Ordinary tuition is zero; the page budget is EUR 28,138.40 (INR 30.88 lakh) before travel and housing deposits.

The academic centre is machine learning, big data, optimisation, data protection and analytical applications in business, computing and environmental science. The published structure moves from Data Analytics fundamental track to Method specialisation, with Master’s thesis and colloquium completing the degree. That combination defines the course more accurately than its title alone and gives an applicant three concrete blocks to compare with alternatives.

How much does the University of Hildesheim MSc Data Analytics cost?

The full 2 years planning total is EUR 28,138.40, about INR 30.88 lakh. University of Hildesheim charges no ordinary tuition. The calculation includes 24 months at the 2026 federal EUR 1,091 monthly visa-finance floor, 4 current semester contributions, the visa fee and one uni-assist charge where required.

ItemINRLocal currencyWhen it is due
Tuition, full programmeINR 0EUR 0No ordinary tuition
Semester contributions, 4INR 2.06 lakhEUR 1,879.40Before each enrolment period
Living costs, 24 monthsINR 28.74 lakhEUR 26,184.00Budgeted at EUR 1,091 monthly
German national study visaINR 8,231EUR 75At visa application
Two-year planning totalINR 30.88 lakhEUR 28,138.40Before flights and housing deposits

Germany’s blocked-account or other finance evidence remains the student’s money for living costs. It is not a university charge and is not added again to this total. Converted at EUR 1 = INR 109.75, the ECB reference rate published for 3 September 2026. Future fees, rent, insurance, travel, deposits and exchange spreads can change or remain extra.

“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.

Germany’s federal study-visa guidance requires proof of EUR 1,091 per month in 2026. The table uses that binding finance floor for all 24 months, rather than the lower EUR 720 estimate still displayed on a university FAQ.

The University of Hildesheim publishes a 2026 semester contribution of EUR 469.85, covering student services, student representation, mobility, culture and administration. Holding it constant across four semesters makes the calculation transparent but does not fix a future rate.

Flights, initial accommodation, a refundable deposit, exchange spreads and personal equipment are excluded because no single official amount applies to every student. The blocked-account sum remains the student’s living money and is not added again.

Can an Indian applicant meet the MSc Data Analytics entry rules?

MSc Data Analytics admission separately tests bachelor’s grade, relevant courses and English, IELTS 6 or equivalent. For MSc Data Analytics, Indian evidence includes APS through the Faculty 4 portal. The review treats documented academic content as controlling; a related title cannot establish equivalence or selection.

RequirementPublished ruleWhat you do
Prior qualification (India)a bachelor’s in computer science, information technology, mathematics, statistics, data science, artificial intelligence, data analytics or a closely related fieldAnnotate prior qualification in the MSc Data Analytics submission
Bachelor’s grade (India)53% of the published selection scoreCross-reference bachelor’s grade in the MSc Data Analytics submission
Relevant courses (India)35% of the score across mathematics, programming and data analyticsDocument relevant courses in the MSc Data Analytics submission
Research activity (India)6% of the selection scoreIsolate research activity in the MSc Data Analytics submission
Practical activity (India)6% of the selection scoreVerify practical activity in the MSc Data Analytics submission
English (India)IELTS 6, TOEFL computer-based 61 or accepted equivalentMatch english in the MSc Data Analytics submission
GRE or GMAT (India)Only required where explicitly listed aboveAttach gre or gmat in the MSc Data Analytics submission
APS for India (India)APS certificate required for qualifications earned in IndiaIdentify aps for india in the MSc Data Analytics submission
Application route (India)Direct Faculty 4 portal; uni-assist is not used for this IT master’sConfirm application route in the MSc Data Analytics submission

Build the academic map around the published 53/35/6/6 selection formula. List the bachelor’s result first, then identify mathematics, programming and analytics papers that support the 35% subject component. Research and practical experience help, but together they contribute only 12%; they cannot rescue a weak degree result or a thin quantitative transcript.

The MSc Data Analytics file brings together the award, transcript, grading scale, APS certificate and language result. Its subject explanation should concentrate on a bachelor’s in computer science, information technology, mathematics, statistics, data science, artificial intelligence, data analytics or a closely related field.

Unclear paper titles need syllabus topics, credits and assessment details in the MSc Data Analytics mapping. Hildesheim, rather than the applicant’s self-assessment, makes the final equivalence and selection decision.

Where a MSc Data Analytics application can fail

  1. Bachelor’s grade is a literal condition

    For MSc Data Analytics, the published rule is 53% of the published selection score. Mark the relevant academic record lines and attach descriptions when a study unit name doesn’t reveal its content.

  2. APS is uploaded inside the direct portal

    Faculty 4 uses its own application portal rather than uni-assist. Indian applicants still need APS and must upload it in the portal slot named by the faculty.

  3. The MSc Data Analytics structure changes shortlist value

    An eligible file can still be a poor academic choice when 53% of the published selection score is only marginally met or 35% of the score across mathematics, programming and data analytics doesn’t represent the prospective researcher’s strongest preparation.

How should an Indian applicant apply for the MSc Data Analytics?

Work backwards from 15 December 2026. Academic mapping, language testing, APS and any VPD can run in parallel. The last action is the complete university or programme submission, because a uni-assist request by itself is never an admission application to Hildesheim.

Submit directly through the Faculty 4 portal; the programme makes the admission decision.

Start byTaskTakesWhy this date
30 Oct 2026Complete language or test evidence45 daysAllow result delivery and a realistic retake buffer.
06 Nov 2026Audit subject eligibility10 daysMap each published credit and degree condition to the transcript.
16 Nov 2026Prepare Indian academic evidence28 daysAssemble APS where required, certified records, translations and module descriptions.
14 Dec 2026Submit the complete application1 dayUse the official route and retain the submission receipt.

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

Begin with the credit audit. Paying for document review doesn’t help if the faculty requirement is already missed, and a broad credential evaluation doesn’t replace the programme’s academic judgement.

Prepare certified academic records, translations where needed, passport evidence, APS and language results together. If the course uses a VPD, University of Hildesheim says uni-assist processing normally takes six to eight weeks.

The date on this page is a planning anchor for the named intake. The portal and programme page remain final because several Hildesheim faculties run their own selection timetable or direct submission process.

What jobs can follow the MSc Data Analytics?

MSc Data Analytics develops assessed evidence through Data Analytics fundamental track, Method specialisation and Master’s thesis and colloquium. For this course, those components support work connected with machine learning. Hildesheim reports no MSc Data Analytics placement percentage or salary series, so completed work supports the career claim rather than an employer promise.

MeasureFigureBasis
Data Analytics fundamental trackMSc Data Analytics evidence in machine learningOfficial MSc Data Analytics structure
Method specialisationA further MSc Data Analytics work samplePublished MSc Data Analytics curriculum
Master’s thesis and colloquiumIndependent MSc Data Analytics evidenceThe course’s 120 ECTS design
MSc Data Analytics employment statisticNo cohort figure publishedNo official MSc Data Analytics denominator

The MSc Data Analytics claims stop at assessed capabilities; no employer, salary or placement is promised.

The 72 ECTS analytics track can produce evidence in machine learning, optimisation and data-centred projects, while the 12 ECTS application area can connect that work to a domain. Preserve reproducible notebooks, evaluation choices and the thesis abstract. Those artefacts support data and machine-learning applications; the university does not publish a placement rate that turns them into a job guarantee.

An eligible German graduate may receive an 18-month qualified-work search period. In a MSc Data Analytics plan, that residence option provides time after study; it supplies neither a vacancy nor a later work permit.

Who is the MSc Data Analytics for, and who should avoid it?

This course is strongest for a computing, mathematics, statistics or data graduate who already codes and wants a rigorous analytics specialisation. It is much less suitable for someone hoping that a portfolio alone will outweigh academic scoring. An applicant interested only in dashboards should also compare the 72 ECTS fundamental track with a more business-facing degree.

VerdictYour backgroundWhy
Strong fitA bachelor’s in computer science, information technology, mathematics, statistics, data science, artificial intelligence, data analytics or a closely related fieldThat background can support Data Analytics fundamental track in MSc Data Analytics.
Strong fitApplicant targeting machine learningThe goal connects Method specialisation with the MSc Data Analytics thesis.
Needs evidenceAdjacent graduate whose record stops before Data Analytics fundamental trackThe MSc Data Analytics equivalence case needs module detail.
Needs evidenceStudent attracted mainly by Method specialisationOne block does not represent the complete MSc Data Analytics workload.
Do not shortlistApplicant unable to show English, IELTS 6 or equivalentThat evidence is a separate MSc Data Analytics entry condition.
Do not shortlistStudent requiring a MSc Data Analytics placement promiseHildesheim reports no official cohort result.

A MSc Data Analytics comparison begins at Data Analytics fundamental track, follows the remaining taught work, and ends with Master’s thesis and colloquium. Its four-semester budget must stand without immediate part-time income; travel and a housing deposit remain extra.

A lower grade is not the only mismatch. MSc Data Analytics loses coherence when its entry discipline, teaching language or assessed structure points the applicant toward another academic route.

What does the 120 ECTS MSc Data Analytics curriculum contain?

The MSc Data Analytics curriculum totals 120 ECTS across 4 full-time semesters. Taught, practical and research credit follows the distribution shown below. The university’s current module catalogue controls live elective and thesis choices, so the table reports published academic blocks without inventing future availability.

ComponentECTSWhere it sits
Data Analytics fundamental track72Machine learning, data science, optimisation and projects
Method specialisation6Student-selected methods
Application area12Two applied units
Master’s thesis and colloquium30Final research
Total120
  • Complete 120 ECTS in the full-time route
  • The standard duration is 4 semesters
  • Complete the published thesis or final research block

Elective ranges create genuine choice, but they should not be read as a guarantee that every module is offered every semester. Check prerequisites, teaching language and timetable before building a specialisation around one option.

The thesis or final research block is the clearest place to build doctoral or role-specific evidence. Topic availability depends on current supervision and laboratory capacity, so applicants should examine the relevant research groups before accepting an offer.

Should an Indian applicant shortlist MSc Data Analytics at Hildesheim?

Shortlist Data Analytics when the transcript performs well under the actual selection weights and the 72 ECTS core is the depth you want. Do not shortlist it merely because prior employment contains the word data. The decisive comparison is quantitative academic strength plus the willingness to complete an intensive methods route in English.

The positive case connects Data Analytics fundamental track with Master’s thesis and colloquium in a progression the applicant genuinely needs. The counterweight is equally specific: Admission is ranked rather than automatic. The bachelor’s grade supplies 53% of the score, relevant courses 35%, and research and practical work only 6% each.

An assumed job cannot close the MSc Data Analytics funding gap. Hildesheim supplies no course placement percentage, salary distribution or employer guarantee; study and visa funds have to work before arrival.

Key takeaways
  • The full-time MSc Data Analytics carries 120 ECTS across 4 semesters.
  • The published teaching rule is English, IELTS 6 or equivalent.
  • The next planning deadline is 15 December 2026.
  • University of Hildesheim charges no ordinary tuition; the current semester contribution is EUR 469.85.
  • The transparent full-programme plan is EUR 28,138.40, about INR 30.88 lakh, before flights and housing deposits.
  • University of Hildesheim publishes no programme-level placement rate or graduate salary distribution for this course.

Frequently asked questions

Is the University of Hildesheim MSc Data Analytics tuition-free?

University of Hildesheim states that it charges no tuition fees for ordinary degree study. Students still pay the semester contribution, currently EUR 469.85 from winter 2026/27, and fund living, visa, travel and housing costs. This page’s full-programme plan is EUR 28,138.40, about INR 30.88 lakh, before flights and deposits.

What is the MSc Data Analytics deadline for Indian applicants?

Use 15 December 2026 as the working deadline for Summer 2027. It is a planning anchor, not a promise that a future portal date cannot change. Check the programme’s own application page before submission because faculty dates can differ from the central master’s list.

Is the MSc Data Analytics taught in English?

The published language rule is English, IELTS 6 or equivalent. That wording matters: an English-taught course may still require later German evidence, while a primarily German course is not made English by a few English modules. Use only the accepted certificate and score shown by the current programme regulation.

Does MSc Data Analytics use uni-assist for Indian applicants?

No. Faculty 4 currently requires a direct application through its own portal for this IT master’s. Indian applicants still upload APS and the complete academic file in the location named by the portal. A uni-assist application is not a substitute for the programme’s direct submission.

Is GRE or GMAT required for the MSc Data Analytics?

No GRE or GMAT requirement is published for this programme. Admission instead turns on the prior degree, subject credits, grade, language and any aptitude procedure shown above. Do not spend on an extra test unless the current programme page requests it.

Can I work in Germany after the MSc Data Analytics?

An eligible graduate of a German university can apply for a residence permit lasting up to 18 months to seek qualified employment. The search period does not guarantee a job, salary or sponsorship. After finding qualified work, the graduate must move to the appropriate employment residence route.

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; 15 December 2026.

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