Gisma University of Applied Sciences
MSc Data Science, AI & Digital Business
- Berlin, Germany
- Potsdam, Germany
MSc
DURATION
24 months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Jan 2026
TUITION FEES
EUR 15,500 *
STUDY FORMAT
On-Campus
* 12 months | € 24,200 24 months
Key Summary
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This unique combination of technology and business which will help you keep a competitive advantage in the job market and 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. Job roles will change.
Study the MSc in Data Science, AI, and Digital Business to be prepared for this change Become an expert in data science and AI by mastering machine learning, big data analytics, methods of prediction, and leadership of virtual teams. This programme also covers general business skills such as project and innovation management, which will boost your employability.
You will benefit from a highly international atmosphere by studying at Gisma University of Applied Sciences in the Berlin area, in close proximity to global companies such as Tesla. If you study the 2-year programme you’ll also have the opportunity to do an internship or business project or spend a semester abroad – choose from a selection of leading technology hubs such as London, Shanghai, and Singapore.
Why Gisma?
- AMBA accredited: 2% of educational institutions worldwide hold this accreditation, which was awarded for our global MBA. A sign of excellence in education
- 88% of Gisma students secured a job before graduation by utilizing our dedicated career services and strong industry connections.
- Alumni Success: An astonishing 77% enjoy a salary ranging from €55k to €60k
- SAP partnership advantage: Gain a competitive edge through Gisma's partnership with software giant SAP. Access cutting-edge tools, resources, and internship opportunities, boosting your job prospects and positioning you for success in the digital economy.
- The most international university: 90+ nationalities of students, alumni, and staff represented. Expand your network
- Excellent student services such as a dedicated Career Centre, visa support and accommodation team
- Graduates will be entitled to apply for an 18-month post-study residence permit to take advantage of career opportunities in Germany
- Over 25 corporate partners we work closely with such as Zalando, Amazon, Siemens
- Over 20 years of teaching and inspiring students to reach lifelong goals
- Savings, incentives, and flexible payment plans available
- Free beginner German classes
- Programs taught 100% in English - the language of international communication
Why Germany?
- Germany has one of the lowest unemployment rates in Europe
- One of the best Graduate starting salaries in Europe, with a growing economy
- Germany is the most popular option for international students looking to study in Europe; It is recognised for its high-quality education, and you can experience this with Gisma
- Germany ranks in the top five countries in the world by the number of international students
- Berlin, Germany’s Capital is the largest city in the EU and has a thriving business scene, offering a range of job opportunities to young professionals and graduates
Germany is well known for its rich history in culture and arts, offering students an enriching international experience while combining world-class education from our globally ranked partner institutions.
Who is the program for?
The programme is perfect for those with undergraduate degrees in engineering, data science or technology-related sciences who seek to specialise further in this field. It is also perfect for graduates of other complementary scientific disciplines such as business, economics, law, social sciences, or psychology, who are interested in pursuing a data-related career path. This programme is also suitable for anyone who has work experience in data science and AI and wishes to advance their career with a postgraduate degree.
How will you study?
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.
You can start working on your master thesis after you have earned two thirds of the total programme credits. The thesis takes three months in the 1-year programme and six months in the 2-year programme.
Program Structure
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
- Behavioral Competencies in Virtual Teams
- Ethical Issues for AI
- CEO Decision Making & Case Studies
Study abroad or Internship or Business Project: Scientific and Methods Competence
- Research Methods and Scientific Work
- Master Thesis
Accreditations and rankings
Gisma University of Applied Sciences also has a long history of working with partner universities in Europe and has successfully delivered partner programmes accredited by AACSB, AMBA, EQUIS, and EPAS.
Accreditations and Recognitions
- AMBA Accredited:
At Gisma University of Applied Sciences, our Global MBA programme carries the prestigious AMBA accreditation, an elite honour held by only five universities in Germany and just 2% of business schools worldwide. - State Recognition:
Gisma University of Applied Sciences is proudly state-recognised by the federal state of Brandenburg, an assurance that our programmes meet Germany’s rigorous academic and quality standards. - CIM Accredited Marketing Degrees (BSc and MSc Business Management Marketing programmes):
Gisma University of Applied Sciences is the only university in Germany with CIM-accredited marketing degrees, setting a new standard in professional marketing education. - German Accreditation Council (Akkreditierungsrat) via FIBAA:
Gisma University of Applied Sciences’ programmes are nationally accredited by the German Accreditation Council through FIBAA, a specialised agency for business and social sciences. - BSIS Impact Label (Business School Impact System by EFMD):
The prestigious BSIS Impact Label celebrates universities that create a measurable, positive influence on their communities and economies.
What will you learn?
This programme covers multiple aspects of data science and AI, from machine learning to big data analytics and ethics in AI. You will also work on your leadership skills and digital business competencies such as digital marketing and innovation management. With this diverse and valuable skillset, you will be an asset to any future-oriented company.
Partial Scholarship
- We offer a range of flexible saving options tailored to your needs. Get in touch with us to find the best solution for you.
Your future career
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 (https://emeritus.org/).
- Data scientist; average annual salary of € 139, 840 (https://emeritus.org/).
- Machine learning scientist; average annual salary of € 100, 392 (https://emeritus.org/).
- Enterprise architect; average annual salary of € 139, 840(https://emeritus.org/).
- Data architect; average annual salary of € 89, 840(https://emeritus.org/).
- Business intelligence developer; average annual salary of € 79, 840(https://emeritus.org/).
- Data analyst; average annual salary of € 69, 840 (https://emeritus.org/)."