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Everything about the programme – we answer your questions personally

  1. Lucerne School of Business Lucerne School of Business
  2. Degree Programmes Degree Programmes
  3. Master's Master's
  4. Applied Data Science and AI Applied Data Science and AI
  5. Project-based Learning Project-based Learning

Project-based learning  Innovative education and training in the age of new technologies

How can universities equip students with the future-oriented skills that businesses so urgently need? The project-based learning concept is the answer. It effectively bridges the divide between academia and the world of work by including standardised, collaborative and interdisciplinary elements. Learn more about all that project-based learning offers and how you can get involved.

Info-Events | Sign up now!

Everything about the programme – we answer your questions personally

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What is PBL | Why | Projects | Benefits | Insights | Participation | Programme Information

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What is project-based learning?

Rapid developments in data and AI technologies are creating entirely new job profiles or reshuffling existing ones from the bottom up. This dynamic shift calls for close cooperation between industry and academia.
 
Project-based learning stands for a new form of cooperation between education and practice.

The format enables students to develop and hone their skills directly in real and challenging business projects over extended periods. By working together on specific projects, students acquire and deepen not only their technical knowledge but also acquire essential soft skills while working in teams, solving problems and communicating with various stakeholders.
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How is project-based learning different from other forms of learning?

Project-based learning differs from traditional forms of knowledge transfer in that students learn directly in particular applied project settings. Projects thus cease to be mere practice sessions and instead turn into live venues for learning where the education partner supports project teams and actively coaches them.

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What exactly is a project?

Project-based learning is organised into “learning boxes” where each learning box assigns a clear role to the participants:
– The project partners provide the challenge and physical resources and manage the project.
– The students contribute their talent, creativity and work.
– The coaches guide the students through the content and develop the skills in the teams.
– The education partners include the concept in their programmes and assess students’ academic achievements.

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Benefits at a glance

    – Project partners benefit from the creativity and expertise of various universities and disciplines. The standardised framework is easy to use, quality-assured and accessible to everyone.
    – Students not only acquire future-oriented skills and competencies by working on real problems for industry partners but also earn ECTS credits.
    – Experts can serve as learning coaches on as many projects as they like and thus gain access to exciting ventures and industry partners. And they are paid for their work.
    – Educational institutions further develop their programmes by providing the projects and facilities that learners need in order to develop key competencies.
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Insights 

Experiences from the bydo Learning Box at Alfred Müller AG

Watch now >

Podcast Applied Data Science UNBOXED Episode 3

The founders about the learning initiative

Click here to listen (German)

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Interested?

Project-based learning is delivered by our partner bydo. Application for students:

  1. Log in to the bydo platform with your edu-ID: Platform link
  2. Apply for your preferred position, attaching your CV and transcript of records (if available).
  3. Once you've been accepted, you'll be given access to your digital learning journal. It contains everything you need to know about your Learning Box: team members, Learning Coach, challenge details and business partner.

To make sure you don't miss a new listing, we recommend signing up for the Learning Box Alert: Sign-up link

Good to know: you can apply at any time, even when no positions are currently available. bydo keeps waiting lists. 

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Programme Information | Contact | Info-Events

Interested in the MSc in Applied Data Science and AI? Visit our Info-Events. We look forward to meeting you!

Please contact us if you have any questions about your studies:
Tel.: +41 41 228 41 30
E-Mail: master.dai@hslu.ch 

Further links to the programme:
→ Generalist profile
→ Career profiles and study insights
→ Our Lecturers
→ Course structure and modules
→ Working and studying
→ Admission and registration
→ FAQ

MSc in Applied Data Science and AI

  • Applied Data Science and AI
  • Generalist profile
  • Course structure and modules
  • Working and studying
  • Student insights
  • Our Lecturers
  • Project-based Learning
  • Partnerships and network
  • FAQ – Frequently asked questions
  • Admission and registration
  • Info-Events

Dr. Patricia Feubli

Head of Programme

+41 41 228 22 44

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Prof. Dr. Donnacha Daly

Head of Programme

+41 41 228 24 78

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Info-Events

  • Monday, 2 November 2026 (Online, English)
  • Friday, 27 November 2026 (Online, German)
  • Monday, 11 January 2027, (Online, English)

Apply for the programme

  • Information About the Admission Process

Please contact us if you have any questions about your studies:

+41 41 228 41 30

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