GISMA University (Potsdam)

Speciality

Introducing the Siblings & Spouse Discount at Gisma! Enjoy a 35% discount on all programmes for siblings and spouses of enrolled students. Applicable across brands.
Terms apply: Full annual fee due before orientation, non-combinable with other offers, and documentation required (e.g., marriage or birth certificate).

Once you are accepted as a student, you will be requested to pay a deposit amout of € 3,000. The reservation fee is designed to secure your position within the programme and will be deducted from the overall programme cost.

Standard Track: 120 ECTS (24 months)

Eligibility-Based Track: 60 or 90 ECTS (12 or 18 months)

Additional information

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.

From Foundations to Future: Your Data Science, AI, and Digital Business Journey

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.

Who is this Programme For?

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.