Regardless of your background in business, IT, the social sciences, engineering or the humanities, what matters is curiosity, analytical thinking and an interest in data-based issues.
Why study Applied Information and Data Science at HSLU?
- Data and AI expertise with a scientific foundation
- Projects in renowned companies
- Part-time and flexible study options
- You will earn a recognised Master's degree (MSc, 120 ECTS)
The Master's in Applied Data Science is suitable for anyone with an interest in data, regardless of their background.
The benefits:
- Admission is possible even without a technical bachelor's degree (admission based on dossier).
- The programme systematically develops methodological and technical skills.
- Individual project portfolio for applications.
- You will have the opportunity to build contacts with companies during your studies.
- You will benefit from a supportive and challenging environment with personal supervision and short distances.
- Active data science community (around 95% of students are employed)
- Flexible, part-time and individualised study
Artificial intelligence and data analysis are no longer purely IT topics. They influence how companies develop products, understand markets, and make strategic decisions. There is a high demand for talented specialists and managers who can make smart use of data science and AI.
This Master's programme qualifies students to systematically harness the potential of data for innovative products and services, new business models, and optimising business processes. The programme provides students with the technical, strategic and communicative skills needed to successfully implement data projects from start to finish.
The Big Ten: Skills in the MSc Applied Information and Data Science
The master's programme teaches ten key areas of expertise:
1. Question and reflect on data
2. Collect, integrate, preprocess data
3. Process, explore, analyse and interpret data
4. Predict human and system behaviour
5. Visualise and tell stories about data
6. Design and manage data projects
7. Develop data-driven business models
8. Design data products and services
9. Apply data in a variety of settings
10. Understand legal and ethical issues
This Master's degree qualifies graduates for the following roles, among others:
- Data Scientist
- Machine learning engineer
- AI consultant
- Analytics lead
- AI product manager
- Data & AI Strategist
Our career interviews provide insight into diverse career opportunities in applied data science and artificial intelligence in Switzerland.
