The future of business is digital. This track helps students to acquire the digital capabilities that will be essential to perform business functions in the near future, in any sector of the world’s economy. The Digital Business specialization track prepares students to effectively identify and exploit opportunities that digital information sources and technologies provide in order to make smart management decisions and innovate businesses in a fast changing world.
Digital paradigm shifts are disrupting the essence of many industries: there is a great need for young academically trained professionals who are equipped with the knowledge to help firms lead in the digital transition. A mix of theory and practical exercises trains our students to develop digital solutions to support organizational processes and strategically change businesses.
In this track, you will experience how companies can tackle digital challenges and exploit opportunities coming from the exponential growth of data internal and external to the firm. You will work with the latest data mining methods in order to transform data into valuable organizational assets. Prior experience with these techniques is not necessary; the track is open to students with any background.
You will learn data-driven, model-driven, multi-perspective, stakeholder dynamics-driven and solution-driven approaches of knowledge management to develop a smart business. In particular, you will learn to identify and exploit opportunities of information technologies in our hands-on training sessions on data visualization, prediction, simulation, semantic integration, classification, triangulation and sentiment mining.
You will learn how to discover patterns in large data sets involving methods from artificial intelligence, machine learning, statistics, and database systems. In particular, you will learn classification, clustering, and association rule mining.
Most information is available in a form rather unsuitable for processing by computers, namely natural language text. You will learn text mining, rule-based techniques for information extraction, and statistical techniques for information extraction and natural language processing.
You will be trained to make the right decisions on business and IT management when we discuss best practices in IT management and governance, lean IT management, business IT alignment, IT organization, privacy and security, and risk and compliance.
For future managers it is important to understand the interactions between people, information systems and their contexts. You will learn how to identify costs and benefits of information systems, make motivated choices for models and techniques for technology acceptance, project management, stakeholder analysis, monitoring and controlling project progress and project evaluation.
- Blended learning approach with plenary lectures, hands-on training sessions and guest speakers from the industry
- Graduation and career opportunities at partnering consultancy companies
- Collaboration with one of Europe’s leading computer science departments
- Engaged supervision of the Master thesis preparation and writing process
In the current job market the demand for graduates with digital skills is much larger than the supply; business students with an interest in IT have excellent career opportunities. Typical examples of Digital Business positions include:
- Data Scientist
- IT Business Consultant
- Business Intelligence Analyst
- Chief Information Officer
- Knowledge Manager
- Digital Innovation Manager
- IT Project Manager
- Digital Entrepreneur