Master of Science in Business Information Systems – Advanced Analytics
An application-oriented Master's programme focusing on statistical analysis, machine learning, and data-driven decision-making.
Best for:Best for students with a strong background in Business Informatics or related fields seeking advanced training in data science and analytics.
Overview
The Master of Science in Business Information Systems at Technische Hochschule Mittelhessen (THM) is an application-oriented programme designed to bridge the gap between computer science, business administration, and quantitative methods. The Advanced Analytics specialisation is available as an English-taught track, providing students with advanced scientific knowledge and practical skills. The curriculum prepares graduates for leadership roles, strategic tasks, and research-oriented positions in software-driven industries and IT consulting. Students engage in a rigorous academic environment that emphasizes statistical analysis, machine learning, and data-driven decision-making.
What you'll do
- Engage in advanced coursework covering statistical analysis and machine learning techniques.
- Apply quantitative methods to solve complex business and information system problems.
- Participate in lectures, seminars, and examinations conducted entirely in English.
- Develop strategic skills for leadership roles in IT consulting and software-driven industries.
- Complete a Master's thesis demonstrating scientific proficiency in the field.
Requirements
Degree required: Bachelor’s degree in Business Informatics or a related field (minimum 210 ECTS; 180 ECTS may require additional coursework).
Degree offered: Master of Science
Language: English (B2 level); German (A1 level).
Instruction: English
- Minimum final grade of 2.0 (equivalent to 80%) in undergraduate studies.
- Successful completion of a mandatory aptitude test.
- Proficiency in English at B2 level or higher.
- Basic knowledge of German (A1 level required).
- Applicants must hold a Bachelor's degree in Business Informatics or a related field.
- Must meet the minimum grade requirement of 2.0 (80%).
- Must pass the mandatory aptitude test for the English-taught track.
Funding & terms
Programme and admissions
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- Intake
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How to apply
Deadline: 2027-01-15
Applications must be submitted via the uni-assist portal. Ensure all required academic transcripts and language certificates are prepared according to the university's international application guidelines.
- Bachelor's degree certificate
- Academic transcripts
- English language proficiency certificate
- German language proficiency certificate (A1)
Contact
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