Digital Business Innovation and Transformation IMC University of Applied Sciences Krems

Overview

Key facts

Big data, the Internet of things (IoT), artificial intelligence, blockchain technology and robotics: just a few examples of digital innovations that are permanently changing the rules of the game for organisations.

Companies must be well-prepared for new challenges in order to ensure their continued success and take advantage of the opportunities offered by digitalisation. Digital transformation shouldn't be a mere buzzword – it has to be reflected in the strategy, structures, corporate culture, and processes of a company.

And this is exactly what our programme prepares you for. As a Digital Business Innovation and Transformation graduate at the IMC University of Applied Sciences Krems, you'll act as an ambassador for digitalisation and innovation: you'll see digitalisation as an opportunity and be able to show companies where potential for networking and ongoing development lies.

Since digitalisation continues to increasingly connect the world, the degree stands out for its strong international focus. Just a few examples: English as the language of instruction, countless international teachers, and the opportunity to spend semester 3 at one of our 145 partner universities.

Career options

After completing the Digital Business Innovation and Transformation master degree programme, you will have a solid understanding of the unique challenges and key success factors of digital business models.

You'll therefore be able to plan, direct, and drive production, service, or sales digital transformation processes.

After graduation, you'll enjoy new career opportunities because you'll be optimally positioned for an international career. You can use your newly acquired expertise to benefit your current company, or you can switch to another post in Austria or abroad.

The professional areas open to graduates include:

• change management with a focus on digital technologies

• design and implementation of digital business models

• digital supply chain management and logistics

• big data analysis using digital technologies (e.g. optimisation of production lines by digital simulation of the production process)

• project management

• innovation management