Data is the resource of the 21st century, and the quest for harnessing its economic and social potential calls for an increasing number of specialists and managers who not only have solid technical, analytical, and AI know-how but are also able to apply them as creative entrepreneurs.
The ability to recognize relationships in large data sets and to unleash their value with the help of Data Science and Artificial Intelligence is increasingly becoming a key competence that companies and organisations are eager to acquire, resulting in strong demand for talented experts who can harness this potential to best effect.
The multidisciplinary Master's programme in Applied Information and Data Science 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 broad range of career opportunities in SMEs, large corporations, public institutions, and non-profit organisations.
Why study with us:
- 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.
- Future-oriented technologies & Artificial Intelligence (AI): Artificial Intelligence is playing an increasingly important role in data analysis and decision-making. Our master's program not only teaches traditional data science methods but also integrates cutting-edge AI technologies to identify complex patterns, enhance predictions, and develop innovative solutions. Students learn to apply AI models in practice and to handle this key technology of the future responsibly.
- 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 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.
The Big Ten - What it Needs to become a Great Data Scientist
- Questioning and thinking about data
- Collecting, integrating, and preprocessing data
- Processing, exploring, analyzing, and interpreting data
- Predicting the behavior of people and systems
- Visualizing and telling stories about data
- Designing and managing data projects
- Developing data-driven business models
- Designing data products and services
- Applying data in a wide range of fields
- Understanding legal and ethical issues
Contents of the Master’s Program: Our Ten Main Topics:
- Management of Digital Enterprises and Digital Leadership
- Data-Driven Innovation and the Data Innovation Ecosystem
- Designing Data Products and Services
- Fundamental Data Engineering for Data Scientists
- Data Analytics for Data Scientists
- Scale-up! Working with Really Big Data
- Advanced Analytics for Unstructured Data
- Managing Data Projects and Professional Communication Skills
- Domaine Experience – Real-Life Data Science in Action
- Master’s Thesis (incl. Preliminary Study)
Tuition fees:
- Annual tuition for Swiss students: CHF 1,600
- Annual tuition EEA: CHF 2,600
- Annual tuition non-EEA: CHF 2,600
