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Master English Law & Economics

MSc in Business Intelligence & Data Science

Master

About the Program

The Master of Science in Business Intelligence & Data Science at ISM combines two exciting disciplines: Business Administration and Data Science. It provides comprehensive methodological knowledge for well-founded data analysis as well as for intelligent and automatic data evaluation and usage. The combination with consulting aspects is what makes the course so special. In addition to IT topics, students also have lessons in company analysis and practical consulting projects. Thus graduates can make important predictions for an enterprise and are significantly involved in achieving business goals more effectively. This Master's degree programme is offered at our locations in Dortmund, Munich, Hamburg and Stuttgart. The programme is also internationally AACSB accredited and includes: a semester abroad at a partner university in Europe or overseas, practical teaching by lecturers who are experts and IT managers in the real business world, twelve weeks of compulsory internships, workshops and company excursions to practice your learned skills and prepare you optimally for your future career. Optionally, students can receive a second, accredited double degree from a partner university of the ISM abroad.

General Requirements

Specific requirements for this program are not in our database yet. The following are typical for this degree and language in Germany — always verify the exact requirements on the program's official page.

Academic qualification

A recognised Bachelor's degree in a related field; some programs require a minimum grade or specific prerequisites.

Language

English proficiency (typically IELTS ~6.5 or TOEFL iBT ~90). Basic German is helpful for daily life.

Typical documents

  • Recognised diploma and transcript (certified translations)
  • Language certificate
  • Passport and passport photo
  • Tabular CV (Lebenslauf)
  • Letter of motivation (for many programs)
  • Application via uni-assist / VPD (for most international applicants)

Which Professions Does This Program Open Up?

Related profession searches from Bundesagentur für Arbeit (BERUFENET) data:

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Subjects / Topic Areas

Information Systems and Management

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Frequently Asked Questions

Quick answers about MSc in Business Intelligence & Data Science at International School of Management (ISM)

Is MSc in Business Intelligence & Data Science at International School of Management (ISM) taught in German or English? ▼

This Master programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the MSc in Business Intelligence & Data Science programme cost? ▼

6.480 EUR / semester. International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for MSc in Business Intelligence & Data Science at International School of Management (ISM)? ▼

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline? ▼

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying MSc in Business Intelligence & Data Science? ▼

Yes. International students may work up to 140 working days a year without additional permission (a day of up to 4 hours counts as half a day). After graduation you can apply for an 18-month job-seeker permit.

How do I apply to International School of Management (ISM) — directly or via uni-assist? ▼

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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AI answers can contain mistakes. Please verify important details from official sources.