In a rapidly evolving digital landscape, distinguishing yourself requires more than ambition—it demands the right qualifications and skills. Our MSc in Data Science, AI, and Digital Business provides the strategic expertise and cutting-edge knowledge essential to excel in the field. This master’s programme is designed to prepare you for independent entrepreneurial ventures or senior management positions with leadership responsibilities across various industries and business sizes.

The curriculum offers a unique combination of technology and business which will help you keep advance into a future-oriented career in a global company or innovative start-up. Digital technologies are omnipresent in today’s society and business world. All areas of life are affected by a digital revolution which is evolving faster and faster. Artificial intelligence, 5G, Big Data, the Internet of Things, and Blockchain will disrupt traditional business models and change job roles in the industry.

Students will enhance their management knowledge and acquire application-specific specialisation skills through real-world challenges and practical experiences.

This programme is suitable for undergraduate students who are interested in a successful career in engineering, data science, or other relevant tech fields.

Allows you to learn comprehensive aspects of machine learning, data science, digital business and innovation management.

Opens up career opportunities across multiple industries like data analytics, AI, business intelligence, and digital consulting.

Helps you gain additional skills in Big Data, cybersecurity, and cloud computing through technical know-how provided by Amazon.

Gives you in-depth expertise about technological concepts like AI, machine learning, Big Data analytics, and virtual team.

The degree programme has been awarded the quality seal of the Accreditation Council Foundation. The Accreditation Council Foundation is a joint institution of the federal states of Germany for quality assurance in study and teaching at German universities.

Gisma University of Applied Sciences is state recognised. It also benefits from AMBA accreditation, which was awarded for the Global MBA and is an honour shared by only 6 universities in Germany and 2% of all universities worldwide. The prestigious AMBA accreditation represents innovation and excellence in education.

Gisma University of Applied Sciences supports flexible and individual learning by applying a systematic hybrid learning scheme. You will spend part of your lectures in class at our Berlin or Potsdam campus. These face-to-face phases are complemented by e-learning sessions. You will work on cases, reflect on readings, take part in online discussions, and participate in group exercises and projects. This variety of learning methods is part of our unique teaching strategy, which includes student-centred pedagogy, project-based learning, collaborative learning, and personalised coaching.

The course is available to study both full-time and part-time. The standard period of study is two years full-time, part-time correspondingly longer. If you have the relevant academic or professional experience, you could be eligible to shorten the study period to one, or one and a half years. Talk to our programme consultants to find out whether this is the case for you.

The programme is modularised, which means each module is assigned a fixed number of credit points and concludes with an examination. This programme consists of 60, 90, or 120 ECTS credits, depending on the track and your eligibility. The standard track spans 24 months (120 ECTS), while the credit-based track can be completed in 12 or 18 months (60 or 90 ECTS), based on prior academic credits, qualifications, or work experience.

In the 2-year format (120 ECTS credits), the curriculum includes a ‘mobility window’ in the 5th semester: a semester reserved for you to study abroad, undertake an internship, or complete a business project in practice.

Data Science and AI

Intro to AI and Machine Learning

Methods of Prediction

AI and Applications

Big Data Analytics

Data Visualisation and Communication

Business Project in Big Data & AI

General business competencies

Project Management

Innovation Management and Digital Transformation

Digital Marketing & Analytics

CSR, Diversity and Ethics

Leadership, action and intercultural competencies

Behavioural Competencies in Virtual Teams

Ethical Issues for AI

CEO Decision Making & Case Studies

Study Abroad or Internship or Business Project Option

Scientific and Methods Competencies

Research Methods and Scientific Work

Master Thesis

A data science, AI, and digital business degree can give you a multi-faceted skill technical skill set which can allow you to join any major technology company like Google or Apple. You will also have the business management competency for any data-driven role in online start-ups or management firms. Potential graduate opportunities:

Machine learning engineer; average annual salary of € 101, 012.

Data scientist; average annual salary of € 139, 840.

Machine learning scientist; average annual salary of € 100, 392.

Enterprise architect; average annual salary of € 139, 840.

Data architect; average annual salary of € 89, 840.

Business intelligence developer; average annual salary of € 79, 840.

Data analyst; average annual salary of € 69, 840.

This programme is available at both our Berlin and Potsdam campuses. Students can choose the location that best suits their lifestyle and career aspirations. Whether you prefer the vibrant, fast-paced energy of Berlin or the innovative and future-focused environment of Potsdam, you’ll benefit from the same high-quality teaching, international network, and career opportunities that Gisma offers.

Bachelor’s degree in a relevant discipline (business, economics or social sciences, psychology, law, engineering, computer science, or closely related sciences)

English proficiency: B2 (IELTS 6.0 overall, no less than 5.5 in any component) or equivalent scores in TOEFL iBT, Pearson PTE or Duolingo. Gisma also offers an English test free of charge.