
The Master's in Digital Driven Business is an intensive, one-year, English-taught program designed for individuals eager to bridge the gap between data expertise, business strategy, and emerging technologies. It focuses on enabling evidence-based decision-making through advanced data analytics and developing professionals skilled in Business Intelligence. The program emphasizes personal attention and small class sizes, fostering a collaborative learning environment. This program equips you to become a 'data translator,' capable of leveraging raw data, understanding business challenges, and applying emerging technologies to optimize sustainable decision-making. You will gain a critical, analytical, and entrepreneurial mindset, with the capacity to develop technical insights and information management skills. The curriculum allows for specialization in either Fintech or Marketing during the second semester.
The Master's programme is structured into two semesters, followed by a master's project. Students can choose a specialization in the second semester.
Graduates are well-prepared for roles in the growing field of data-driven business. The program aims to equip students with skills demanded by the market, enabling them to contribute to the digital transformation of organizations.
Proficiency in English at an appropriate level is required.
Tuition fees vary by student situation. Additional costs for books, readers, and study materials should be considered.
Applicants need a Bachelor's degree in Economics, ICT, or Technology with proven affinity in at least two of the following domains: data analytics, business, and emerging technologies. A maximum of 3 years of relevant work experience is also required.
Applicants must demonstrate English proficiency with an IELTS score of 6.5 overall or a Cambridge C1 Advanced qualification.
The program is an intensive one-year, English-taught master's degree. Students can choose to specialize in Fintech or Marketing during the second semester.
The application deadline for non-EU students is April 1st, while for EU students, it is June 1st.
Graduates are well-prepared for roles such as Data Scientist, Data Engineer, Business Intelligence Specialist, and Data Translator, contributing to the digital transformation of organizations.
Tuition fees vary by student situation, and additional costs for books, readers, and study materials should be considered.