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Deutsch Who is the Master’s in Business Intelligence & Data Science suitable for?
The Master’s programme in Business Intelligence & Data Science is aimed at university graduates with a strong interest in data analysis, digitalisation and business informatics. It is especially intended for bachelor graduates from computer science, economics, engineering or related fields who wish to help shape data-driven decision-making processes in companies. The programme is suitable for anyone seeking a career in areas such as data science, IT consulting, business intelligence or analytical corporate management and who values international practical relevance as well as an integrated semester abroad.
What formal admission requirements must you meet?
For admission, you need a completed bachelor’s degree with at least 180 ECTS credits. Your studies should include relevant content from economics, computer science, mathematics or related disciplines. Furthermore, English skills at a minimum of B2 level according to the Common European Framework of Reference for Languages must be demonstrated, as the courses are conducted entirely in English. Application is via a digital admission process including an interview. If you are missing ECTS credits from your first degree, the university offers a pre-master programme for qualification. There is no numerus clausus.
You should enjoy analytical thinking and data-based problem solving. Prior experience with programming, statistics or databases is advantageous but not compulsory. Openness to innovative technologies, willingness to work on projects in teams and interest in expanding your international horizon – for example through the mandatory semester abroad – are important. Initiative, structured working methods and communication skills are expected during the programme.
Which Content Do You Deepen in the Master Business Intelligence & Data Science?
In the Master's programme Business Intelligence & Data Science, you acquire broad and practice-oriented expertise in the intelligent use of data in business. The course teaches you methods and tools to efficiently capture, analyse large amounts of data and make them usable as a decision-making basis for companies. Among other things, you learn:
- Data analysis and interpretation: Statistical analysis methods, machine learning, big data technologies and data mining enable you to structure data and gain insights.
- Business Intelligence strategies: You develop knowledge in selecting and applying BI systems, data visualisation and reporting.
- IT management and software development: You work with current programming languages and software tools to develop data-driven solutions and automate processes.
- Mathematical and business fundamentals: Linear algebra, process management and business analysis prepare you for providing analytical decision-making foundations.
- Project work and practice: You independently implement consulting projects and deepen skills for implementing data science solutions in a corporate environment.
The English-language programme also promotes your intercultural skills and places value on soft skills as well as consulting competence in international teamwork.
How Is the Business Intelligence & Data Science Course Organised?
The full-time course usually lasts four semesters and is designed for intensive, practice-oriented training. The main features of the study programme are:
- Language of instruction: Lectures and seminars are entirely held in English.
- Study abroad semester: In the third semester, you complete a compulsory study abroad semester at one of over 190 international partner universities.
- Double degree possible: You can also obtain a second international degree (Double Degree) at a partner university.
- Practical phases: A 12-week mandatory internship and participation in consulting projects are integral components.
- Fast track completion: Under certain conditions, you can complete the course in just three semesters.
The modular structure of the course combines basic modules, specialised data science courses and practice-related projects. The degree awarded is Master of Science (M.Sc.).
Where Do Professional Opportunities Open Up After the Master Business Intelligence & Data Science?
As a graduate, you are broadly positioned professionally to actively shape data-driven value creation in companies. Typical fields of work include:
- Data Scientist: Application of algorithms and machine learning methods to identify patterns and optimise business processes.
- Business Intelligence Analyst: Development of reports, dashboards and BI strategies for data-driven decision-making processes.
- IT project management and process management: Management of digitisation projects or implementation of new data science solutions.
- Consulting: Management consulting with a focus on data analysis, business analytics and process optimisation.
- Research and development: Further development of analytical methods or subsequent academic qualification (PhD/Doctorate).
Especially in the international environment, graduates with expertise in data analytics, project management and consulting competence are in high demand.
At Which ISM Locations Can You Study Business Intelligence & Data Science?
The Master's programme is offered at several locations of the International School of Management:
- Campus Dortmund: Centrally located in the technology park, focusing on innovation and technology.
- Campus Munich: In the heart of the economic metropolis, near the city centre.
- Campus Hamburg: With modern facilities in the centre of HafenCity.
- Campus Stuttgart: Between Killesberg and Pragsattel, with excellent public transport connections.
The on-site study ensures direct support and exchange locally. Optionally, it is possible to complete ISM studies in distance learning formats.
What Costs Are Associated with the Master’s Programme and What Financing Options Are Available?
The tuition fees for the four-semester Master Business Intelligence & Data Science at ISM amount to a total of €25,920, divided into €6,480 per semester. Several options offer financial relief:
- ISM scholarship programmes: The university offers various merit- and need-based scholarships.
- Low-interest education loans: Partnerships with promotional banks support you in financing your studies.
- Discount schemes: For example, bonuses for recommending prospective students.
- Repayment models: Insured tuition fees can also be paid in instalments after completion of studies.
Possible additional costs are incurred for the study abroad semester, study materials and living expenses. Support options and individual advice on financing are provided by the university.
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