The ability to recognise relationships in large data sets and to unleash their value is increasingly becoming a key competence that companies and organisations are eager to acquire, resulting in strong demand for talented experts who can use this potential to best effect.
The multidisciplinary Master's programme prepares its students for the challenges they will face as specialists and managers in the digital economy. As data scientists with strong applied skills, they will have a wide range of career options in SMEs, corporations, public institutions and non-profit organisations.
It’s open to career-changers
The fields of data science today are as varied as the disciplines in our students’ academic background (social sciences and economics, natural sciences, engineering, humanities). Accordingly, the Master's programme is designed for ambitious individuals with a university degree, a strong interest in data technologies and above-average analytical abilities.
It’s designed for practitioners
Our data specialists are highly competent in using the right queries, interpreting the hidden information in data, and gaining insights for forecasting trends and events – with a view to helping management teams, organisations and society make better decisions. To this end, the Master's programme provides future data specialists not only with deep expertise in their field but also with consummate skills for applying it for optimal benefit. By working on projects, they will further develop their knowledge by tackling real-life problems as found in a wide range of applied fields.
It’s flexible and individual
Students have a great deal of flexibility in designing their studies, and they can determine the start, duration and course load based on their individual needs.
It’s interdisciplinary
Our Master’s programme emphasises the interdisciplinary nature of data science and covers topics in fields as varied as technology, analytics, design and management. This ensures that students will have a broad, multidisciplinary experience and gain excellent prospects as businesspersons or researchers.
STATEMENT
Peter Delfosse, EMBA HSLU, CEO of Axon Active Holding AG
Our ability to use data is driving the digital transformation, and data science is therefore becoming a core competency in companies in a growing number of fields.
Digital assistants, artificial intelligence and machine learning will fundamentally change the way we live and work and continue to create demand for the data generalists
in the Master in Applied Information and Data Science programme of Lucerne University of Applied Sciences and Arts.
STATEMENT
Dr. Michael Zehnder, Chief Digital and Analytics Officer, Switzerland Global Enterprise
The success of every business model ultimately depends on how well the company derives value from its data over the long term. Being able to use data effectively
allows you to harmonise and personalise your client relationships and to manage them more efficiently through your digital channels and platforms. On the other hand,
organisations that aren’t able to do so are likely to soon find themselves sidelined. Having a solid grasp of data science therefore helps you to manage your customer
relationships more efficiently and intelligently and to make them more relevant. The new Master’s programme at
Lucerne University of Applied Sciences and Arts teaches data specialists and future managers how to play an active role in managing the digital transformation of their organisations.
STATEMENT
Michael Lewrick, Head of Innovation Labs, Deloitte Schweiz
The Master in Applied Information and Data Science programme offers a comprehensive set of methods and tools for using data to manage specific parts
of innovation projects. Using a hybrid approach – for example, by combining big data analytics with design thinking – gives you not only an overview of
the whole problem-solving process but also allows for deep learning opportunities and deep insights. Understanding this type of connection helps you to be more innovative,
a quality that’s indispensable in a digitalised world.
