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Deutsch Who is the MSc Data Science, AI and Digital Business suitable for?
The Master’s degree programme Data Science, AI and Digital Business is aimed at graduates who wish to specialise in challenging tasks in the fields of data science, artificial intelligence and digital management. It particularly targets Bachelor’s graduates from engineering, economics, computer science, social sciences, psychology or related disciplines who aspire to leadership roles in technology-oriented companies, start-ups or international corporations. The programme is also suitable for individuals who want to work in data- and innovation-driven sectors, such as data analytics, business intelligence or digital consulting.
What formal requirements must you meet for admission?
You need a first university degree (Bachelor or equivalent) in a relevant field, for example:
- Economics or business administration
- Computer science or engineering
- Social sciences, psychology or law
- Related natural science or technical courses of study
In addition, proof of English skills at B2 level is required, for example through an IELTS test (minimum overall score 6.0, no part below 5.5) or an equivalent test (e.g. TOEFL, Duolingo, Pearson PTE). If your language certificate is insufficient, Gisma University of Applied Sciences offers a free English test. Applicants with a different or not fully relevant Bachelor’s degree have the option to complete a bridge semester (PreMaster programme, 30 ECTS).
Relevant professional experience is advantageous but not a mandatory requirement for admission.
Personal and professional requirements for study success
You should have a strong interest in digital technologies, data analysis and artificial intelligence. Important personal prerequisites are:
- Analytical thinking skills for independent processing of complex data and business cases
- Basic knowledge of mathematics and statistics as well as fundamental programming skills, ideally initial experience with Python or comparable languages
- Interest in economic issues and digitalisation trends
- Self-organisation and the ability to work independently and in teams – also in virtual, international project groups
- Communication skills in English to understand scientific sources and to present results appropriately for the target audience
- Openness to innovations and changes in the digital business environment
What content can you expect in the Master’s in Data Science, AI and Digital Business?
In the Master’s programme Data Science, AI and Digital Business, you will acquire a broad skill set at the intersection of technology and business. The modular structure covers the key subject areas of Data Science, Artificial Intelligence, and digital business management. In overview, you will especially learn:
- Modern Data Science methods: Introduction to Artificial Intelligence and Machine Learning, Big Data Analytics, forecasting methods, advanced statistics, and data visualisation
- Programming and data communication: Handling data, programming skills as well as the presentation and communication of data-driven results
- Application focus: Development and implementation of AI applications and analysis of Big Data related business projects
- Business skills: Project management, innovation management, digital transformation, digital marketing & analytics
- Leadership, ethics and interculturality: Action competencies in virtual teams, ethical aspects of AI, diversity, CEO decision-making processes
- Academic work: Research methods and Master’s thesis
- Practice-oriented elements: Option for a semester abroad, internship or independent business case
Throughout the entire course, you will work with real-world challenges and benefit from exchanges with experienced lecturers from academia and practice, for example from companies such as Amazon or SAP.
How is the Master’s programme Data Science, AI and Digital Business organised?
The studies take place in on-campus format at the locations Potsdam or Berlin and rely on a hybrid approach with face-to-face events as well as e-learning units. The standard period of study is 24 months (120 ECTS) in the standard track, with an accelerated completion (depending on prior qualifications) optionally possible in 12 or 18 months.
- Start dates: Four study intakes annually in January, April, July and October
- Modularised curriculum: Each module concludes with an examination – you complete project work, group exercises, case studies and the Master’s thesis
- Practical phase: In the 5th semester (for the 120 ECTS track) you can complete a semester abroad, an internship or a business project
- Part-time option: You can optionally study over an extended period
- Learning formats: On-campus lectures, e-learning, project work, personal coaching and collaborative work
The practice-oriented teaching is carried out entirely in English and emphasises the immediate applicability of expertise in real business and technology scenarios.
What career options does the Master’s in Data Science, AI and Digital Business open up for you?
With the Master’s degree, you qualify for leadership positions and specialised expert roles in technology-oriented companies, consultancies and start-ups – both domestically and internationally. Typical fields of employment are:
- Machine Learning Engineer – development and implementation of AI models, average salary approx. €100,000 per year
- Data Scientist – data analysis, development of data-driven business models, average approx. €140,000 per year
- Business Intelligence Developer – building analysis and reporting structures, interface between IT and management, average approx. €80,000 annually
- Enterprise Architect – design of digital enterprise architectures and innovation processes
- Consultant for digital transformation – strategic consulting of companies on Big Data, Artificial Intelligence and digital business models
- Data Analyst, Data Architect, AI Specialist as well as many other positions in the fields of digitisation, automotive, finance, retail, healthcare or public administration
With 99% employment of graduates in their field of study, the Master’s offers excellent job prospects. Additionally, you benefit from the university’s career centre with individual advice and access to international networks.
Where do you study the MSc programme Data Science, AI and Digital Business?
Gisma University of Applied Sciences offers you the choice between two locations:
- Potsdam campus: Directly on the SAP Think Campus with state-of-the-art facilities, in an innovation-driven neighbourhood, excellent transport connections and immediate proximity to Berlin
- Berlin campus: Urban atmosphere, part of a European technology and economic hotspot with numerous opportunities for internships and networking events
Both campus options offer you international networking, a multicultural learning environment and immediate proximity to major companies in the digital economy.
What costs and financing options do you need to expect?
The total cost for the entire programme (120 ECTS, standard track) is €25,100. Depending on the chosen track (60 or 90 ECTS, shortened study format), the programme costs €16,250 or €20,500. Actual costs may vary depending on track and prior qualifications.
- Accommodation and living expenses: Modern student accommodation (e.g. Edge Student Hub near Berlin) is available from around €399 per month
- Funding options: The university offers scholarships, discounts and regional offers – individually depending on applicant status
- Instalment payments: Tuition fees can typically be paid in several instalments
- Additional costs: Examination fees or other administrative charges may incur
Gisma University actively supports you in finding suitable financing options and informs you about possible reductions or scholarship programmes.
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