MSc Data Science, AI, and Digital Business
A master's programme blending technical AI expertise with strategic digital business management.
Best for:Best for undergraduate students seeking to bridge the gap between technical data science skills and business innovation management.
Overview
The MSc in Data Science, AI, and Digital Business at Gisma University of Applied Sciences provides students with a comprehensive foundation in modern technological concepts. The curriculum covers essential areas such as machine learning, big data analytics, and digital transformation strategies. Students gain practical skills in cloud computing and cybersecurity, often supported by industry-standard technical training. The programme is designed to prepare graduates for diverse roles in data analytics, business intelligence, and digital consulting. It offers a flexible learning format, including virtual access to the Potsdam campus.
What you'll do
- Engage in coursework covering AI, machine learning, and predictive modeling methods.
- Participate in business projects focused on big data and artificial intelligence applications.
- Develop leadership and intercultural competencies for managing virtual teams.
- Analyze ethical issues related to AI and digital decision-making.
- Conduct independent research leading to the completion of a Master's thesis.
- Apply innovation management strategies to real-world digital transformation scenarios.
Requirements
Degree required: Bachelor's degree in a relevant field such as engineering, data science, or business.
Degree offered: MSc
Language: English proficiency is required for instruction and assessment.
Instruction: English
- Foundational knowledge in mathematics or statistics.
- Interest in technological concepts and digital business models.
- Ability to work in virtual and intercultural team environments.
- Must hold an undergraduate degree from a recognized institution.
Funding & terms
Programme and admissions
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How to apply
Interested candidates should visit the official university programme page to review specific admission requirements. Applications are submitted through the university's online portal.
- Academic transcripts
- CV
- Proof of English proficiency
Contact
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