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Master Data Science HSLU - Gesundheit_Studentenprojekte

SUGAR-SWEET TECHNOLOGIES

Perfectly placed to shape the future with Data Science >
Master Data Science, Hochschule Luzern HSLU

AI x Data Science

The Code that creates Tomorrow

Info-Events | Register now

Everything about our Master's programme - we answer your questions personally

Breadcrumbs

  1. Lucerne School of Business Lucerne School of Business
  2. Degree Programmes Degree Programmes
  3. Master's Master's
  4. Applied Information and Data Science Applied Information and Data Science

Master of Science in Applied Information and Data Science Understanding the potential of Artificial Intelligence (AI) & data and using it professionally

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. 

Info-Events | Register now

Everything about our Master's programme - we answer your questions personally

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.

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Through its multidisciplinary approach, the Master Data Science programme prepares graduates to meet 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.

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Fastlinks:
Why study with us  |  Facts  |  Testimonials  |  Place of study Lucerne

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What makes our Master Data Science programme stand out

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. 

Video mit Infos zum Master Data Science an der Hochschule Luzern HSLU

Watch the video: What makes our Master's programme special

Zur Startseite des Info-Events zum Master Data Science

Join us - click here to sign up for the Info-Event

Zur Startseite des Podcasts Master Data Science UNBOXED

The new HSLU Podcast (in German)

Video über das Studium in der Zentralschweiz an der Hochschule Luzern HSLU

HSLU - Study in the heart of Switzerland

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Facts

Degree

Master of Science Hochschule Luzern/FHZ in Applied Information and Data Science – 120 ECTS credits

Graduate profile

Graduates are able to

  • recognise the economic and social potential in data,
  • access, consolidate, organise and prepare data from different sources for analysis,
  • recognise patterns in complex data sets to use for predicting future events and making important management decisions,
  • extract information from data and visualise and communicate it effectively to a broad audience,
  • use the potential of data in accordance with legal and ethical standards.
Specialisation
  • Applied Information and Data Science
Field of activity

The course immerses students in challenging specialist and management tasks covering a broad range of functions and industries. It thus also provides an excellent basis for young entrepreneurs looking to start their own business. 

Admission

The programme is open to anyone with a Bachelor's or Master's degree from a university or a university of applied sciences. Applicants are expected to have a pronounced interest in data technologies, an affinity for analytical questions and a strong drive to excel in their field. Applicants must take an English language test and an aptitude test.

You can find more information about admission here

Application deadline

Study start in autumn:                                                        - 1 June for Swiss and EU/EFTA applicants                     - 1 April for applicants requiring a visa                      Study start in spring:                                                           - 1 December for Swiss and EU/EFTA applicants            - 1 September for applicants requiring a visa

Commencement of studies

Mid September (calendar week 38) or mid February (calendar week 8)

Semester dates

Autumn semester: Mid September until Christmas (calendar weeks 38 to 52)

Spring semester: Mid February until the end of May (calendar weeks 8 to 22) 

Information events
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  • Monday, 2 June 2025, online
  • Monday, 11 August 2025, online
  • Monday, 8 September 2025, online
  • Monday, 6 October 2025, online
Language of instruction
  • English
Student counselling
  • Prof. Dr. Andreas Brandenberg
  • Dr. Patricia Feubli
Head of studies/Study coordinator
  • Prof. Dr. Andreas Brandenberg
  • Dr. Patricia Feubli
Study fees

Application fee: CHF 250
Semester fees: CHF 800
Semester fees for foreign students: CHF 1300

Budget Plan

International

We help students with arranging to spend the third or fourth semester abroad at a university of applied sciences or a university, and our excellent connections with international partner institutions are of great help in finding the right programme.

Place of study

Lucerne
Classes alternate between on-site and online.

Duration of studies

The studies usually last four semesters, but the period can be extended for up to eight semesters. Students can start either in the autumn or the spring semester.

Time model
  • work-study
Services
  • Smart-Up: Support programme (coaching, consulting, facilities, networks, events, etc.) for students who want to start their own business.
  • Careers Service: Activities and offers relating to career entry and career planning.
  • Language Centre: Lucerne University of Applied Sciences and Arts offers a wide range of opportunities to improve your foreign languages skills.
  • Context modules: Lucerne University of Applied Sciences and Arts – in conjunction with the Lucerne University of Teacher Education and the University of Lucerne – offers a range of general education modules on culture, business, technology, law, politics and ethics.

UN Sustainable Development Goals
Among other things, this education programme contributes to the attainment of the following UN Sustainable Development Goals (SDGs):
  • SDG 12: Responsible Consumption and Production
    Ensure sustainable consumption and production patterns
  • SDG 8: Decent Work and Economic Growth
    Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all
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Testimonials

Portrait von Peter Delfosse, er ist CEO der Axon Active Holding AG

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.

Portrait von Michael Zehnder, er ist Chief Digital and Analytics Officer der Switzerland Global Enterprise

STATEMENT
Dr. Michael Zehnder, Head of Digital Technology and Intelligence, Emerald Technology Ventures

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.

Portrait von Michael Lewrick, er ist Head of Innovation Labs bei Deloitte Schweiz

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. 

Flyer Master Data Science

  • Master of Science in Applied Information and Data Science HSLU_EN_Okt 23

    (64.6 KB) .PDF

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A marvelous place of study: Lucerne and its environs

In Lucerne, students enjoy more than just academics. Surrounded by stunning Swiss landscapes, including mountains and lakes, they also have access to rich cultural activities. Lucerne's central location makes it easy to explore other Swiss cities like Zurich, Basel, or Bern.

Wundervolles Luzern, Kapellbrücke mit Wasserturm Luzern
Wundervolles Luzern - Kapellbrücke, Sunset Luzern
Wundervolles Luzern - Reuss, Stadtsicht
Wundervolles Luzern im Abendrot, Seebecken, Rigi Sicht
Wundervolles winterliches Luzern, Berge, Gütsch
Wundervolles Luzern, Seesicht mit Steg Luzern
Wundervolles Luzern, Berge, Schweiz
Wundervolles Luzern, Kapellbrücke Luzern
Wundervolles Luzern mit Sicht auf Bergkette
Wundervolles Luzern, Schifffahrt auf See in Luzern
Wundervolles Luzern - Seesicht KKL
Wundervolles Luzern, Kapellbrücke Luzern, Sunset mit Wolken
Wundervolles Luzern, Sicht auf Reuss
Wundervolles Luzern an der Reuss
Lucerne panorama with lake basin and mountains in the background

The place to study and enjoy your life - Lucerne and its surroundings 

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Programme Information | Contact | Info-Events

Join us and visit our info-events and find out more details in a personal conversation with the Head of the Programme.

Please contact us for an individual and personalised advice:
Tel.: +41 41 228 42 53 / E-Mail: master.ids@hslu.ch

Find more information here:
- Course structure and modules
- Admission and registration
- Working and studying
- Generalist profile
- FAQ

  • Applied Information and Data Science
  • Generalist profile
  • Professional portraits and study insights
  • Our Lecturers
  • Course structure and modules
  • Working and studying
  • Admission and registration
  • Frequently asked questions
  • Our partnerships
  • Project-based Learning
  • Info-Events

Prof. Dr. Andreas Brandenberg

Head of Programme

+41 41 228 99 53

Show email

Dr. Patricia Feubli

Deputy Head of Programme

+41 41 228 22 44

Show email

Tara Meulenbeld

Master’s Secretariat

+41 41 228 41 94

Show email

Leslie Schwyzer

Master’s Secretariat

+41 41 228 42 10

Show email

Géraldine Kaufmann

Content & Community Manager

+41 41 228 22 59

Show email

Dr. Jasmin Hödl

Responsible Marketing & Communication

+41 41 228 99 54

Show email

Cosima Lang

Responsible Marketing & Communication

+41 41 228 22 04

Show email

Dr. Christian Dollfus

Lecturer

+41 41 228 22 54

Show email

Application

  • Information about the admission process

Contact us with questions concerning the study programme:

+41 41  228 41 29

Show email

Book your consultation appointment

  • Book a consultation appointment with Dr. Patricia Feubli directly here

Information events

  • Monday, 2 June 2025, online
  • Monday, 11 August 2025, online
  • Monday, 8 September 2025, online
  • Monday, 6 October 2025, online

Linkedin & Blog

  • Follow us on Linkedin >
  • Data Science Blog >

Flyer Download

  • Master of Science in Applied Information and Data Science_Hochschule Luzern HSLU_Englisch_Okt 23 

Schedule

  • Academic year 2024/25 
  • Academic year 2025/26 

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Zentralstrasse 9
6002 Lucerne

+41 41 228 41 30

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