Master in Data Analytics & Management
Fact sheet
Graduation
Master, Master of Science (M.Sc.)
Taught language
English
Specialization
Management
Program Emphasis
Data Analytics, Management
Course options
Part-time study
The Master in Data Analytics & Management programme empowers you with the skills and competencies to lead data-driven organisations through digital and business transformation.
Managers are required to foster such purpose-driven innovation and motivate organisational change through new and disruptive technologies. You will acquire skills in big data, digital transformation, disruptive/new business models, communication and leadership, which are all required to manage digital transformation in an ever-changing world.
Highlights
Managers are required to foster such purpose-driven innovation and motivate organisational change through new and disruptive technologies. You will acquire skills in big data, digital transformation, disruptive/new business models, communication and leadership, which are all required to manage digital transformation in an ever-changing world.
Highlights
- Explore a flexible part-time master's programme with a dynamic dual format, including block weeks and self-study, designed for compatibility with full-time employment
- Engage in an English-taught programme that fosters a diverse cohort, bringing a variety of perspectives to the learning environment
- Acquire both technical and strategic skills to effectively lead data-driven organizations
- Benefit from lecturers who specialize in state-of-the-art scientific knowledge and have extensive experience in managing digital transformations
- Connect with an extensive network of industry experts and potential employers
Requirements / Application
- A first academic degree (Bachelor, Diploma or equivalent)
- Minimum one year of relevant post graduation work experience
- Sufficient written and spoken English skills (TOEFL - 90 iBT / IELTS 7.0 or equivalent)
- Successful participation in our admission interview
Important Dates
Programme Start: October
Tuition / Fees
Early Bird Discount (EUR 3,500): 31 May