New registration dates to be announced soon
This programme will equip you with diverse and valuable skill set allowing you not only to explore aspects of data science, AI, machine learning and data analytics, but also virtual teams leadership competencies and digital business skills such as digital marketing and innovation management. This well-balanced combination of business and digital skills will help you in boosting your employability and shaping career in the business technology field.
GISMA Business school was established in 1999 for talented and skilled students to help develop tech-driven and innovative solutions to some of the biggest challenges in the business world. With this goal, the business school is expanding and helping individuals across the world to pursue their dreams and achieve them. The Business School offers undergraduate and Master’s courses. GISMA works with a network of global organisations in business and higher education to support the business community in its internationalisation and change processes by preparing students for the global and regional (German) business community.
This master’s degree programme is offered in a hybrid learning mode. This means that some lectures require in-class presence, at Berlin-Potsdam campus, while the rest of the programme is delivered through e-learning sessions. Project-based learning method has been enhanced with collaborative learning, and personalised coaching sessions with programme instructors. Students are expected to participate in online discussions, offer reflective feedback on study cases, participate in group exercises and group projects. Having completed two-thirds of the programme students will be encouraged to start working on the final project dissertation. Thesis will take three months in the 1-year programme cycle or six months in the 2-year programme cycle.
This programme can be taken within one year-full-time duration or two year-part-time duration. Cost of programme differs depending on chosen mode full time or part time.
In order to qualify for the programme, the following criteria need to be met:
• Bachelor’s degree in a relevant scientific discipline
• English proficiency: B2 (IELTS 6.0) or equivalent.
For non-standard entry routes, i.e. candidates with no academic degree, applications will be considered on a case-by-base basis.
New registration dates to be announced soon