In the Digital Business track, you dive into the opportunities and challenges of IT innovations and their impact on organisations and businesses. This track is one of 8 tracks you can opt for in our Master's in Business Administration.
From blockchain to artificial intelligence, and from platform business models to IT disruptions, digital business cuts across all functions and disciplines – radically challenging and changing how we work, compete, cooperate, buy, sell and create value. How can organisations succeed in this new digital economy?
The Digital Business track will help you become a proactive leader in the ongoing digital transformation. How? By obtaining a deep understanding of the theories, strategies and techniques of digital business and at the same time gaining hands-on experience with actual concepts and computer science. This multifaceted track provides you with all the things you need to bridge the gap between business and IT.
If you embrace change, are analytically strong and technologically curious, this track is for you.
During this foundation course, you will explore three areas:
Data-driven organisations increasingly employ a wide range of data science techniques, from data acquisition and wrangling to process mining and artificial intelligence. Learn about these techniques, both conceptually as well as hands-on, as we bring you the a-b-c of data science: analytics, business and computer science.
Digital technologies, digitalisation and digitisation represent the fundamental technological developments of our time. This new competitive landscape calls for established companies to adopt new technologies and create fundamentally new business models.
In this course, we invite you to think critically about how companies can successfully migrate towards digital business models that create and sustain value. What type of digital strategies can they use? What are the advantages of a horizontal organisation and agile management? How to implement digital strategies? And how can firms achieve a competitive advantage when operating on digital platforms or ecosystems?
With low-energy houses and eroding margins on electricity and gas, selling energy to households is becoming a ‘sunset’ industry.
Reason enough for energy companies to reconsider their business model. One such company reached out to our students: can the real-time data we collect point the way to a future business model?
The idea: use algorithms to translate overall usage data into detailed behaviour of household members (opening the fridge, turning lights on/off) so that the company can come up with tailor-made offers for, say, a more energy-efficient fridge. Is this a good idea? Strategically, technically, financially, ethically? Are there better ideas?
Examples of real-life business cases and company projects you will discuss:
Graduates of the Master's in Business Administration/Digital Business track have excellent job prospects for positions as consultants, product owners, data science professionals, or other positions where IT and business meet.
Examples of positions that recent alumni hold:
Digital Business is one of 8 tracks you can opt for in our MSc Business Administration. If you are more interested in another field of international business, read the info on one or more of the other tracks: