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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
  5. Course structure and modules Course structure and modules

Course structure and modules  Flexibility in creating your profile  

The concept of "applied" is at the heart of our programme, and we therefore provide students with the technical, methodological, analytical and communication skills and knowledge they need when working on real-life projects. 

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

Coursework

The Master's degree in Applied Information and Data Science requires students to earn 120 credits under the European Credit Transfer System (ECTS). At Lucerne University of Applied Sciences and Arts, a credit generally equals 30 hours of coursework, which includes attending classes, studying individually, writing term papers and taking exams.

Language of instruction

Teaching language is English, there are only a few German-language modules. However, students are allowed to take the module exam in either German or English, regardless of the module’s language of instruction. 

Teaching format 

Starting in the autumn semester of 2021, classes will alternate between on-site and online teaching. On-site classes will be held in fixed semester weeks and allow students and lecturers to exchange. In the remaining semester weeks, all teaching will take place online.

Preparatory modules

The first semester includes introductory courses on the important basic principles of applied data science, such as computer science, Python, statistics and experimental design. Students without a documented background in these areas must complete the respective preparatory modules, which count as part of the coursework.

Required modules

In principle, students must complete the required modules for their field; however, exemptions may be granted for those who can document having completed such coursework previously.

Core elective modules

Students must choose a certain number of core electives from a prescribed set of topics. These modules then enable them to create an individual profile.

Master’s Thesis

By completing the Master’s Thesis, students demonstrate their ability to manage a real-life data project by doing thorough research and meeting high professional standards. The programme encourages and supports students in working closely with industry partners, and the Master's Thesis (incl. preliminary study) therefore is an integral part of the programme.

Master's thesis projects to date

Earn up to 120 ECTS credits with flexible modules

The Master’s programme consists of required modules, including the Master’s Thesis (69 ECTS credits) and core elective modules in three areas (51 ECTS credits). The core elective modules enable students to develop their profile more closely in line with a specific business, technology or analytical area.

Course Catalogues 

  • Course catalogue valid for students who started in autumn 2018 up to and including autumn 2019
  • Course catalogue valid for students who started in spring 2020 up to and including spring 2021
  • Course catalogue valid for students starting in autumn 2021 up to and including spring 2022
  • Course catalogue valid for students starting in autumn 2022

All module descriptions

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  • 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
  • Sport Data Innovation
  • Sport Hackdays

Info-Events

  • Monday, 17 April 2023, online
  • Wednesday, 10 May 2023, online
  • Monday, 05 June 2023, online
  • Wednesday, 09 August 2023, online

Statement

«Big data analyses help us to communicate with our customers individually and to make them more satisfied. Especially in the insurance industry, this simplifies how we manage the benefits we pay and helps us to reduce the costs in the health sector. In general, data plays an increasingly important role when it comes to addressing the problems we face in business and society.»

Daniela Bassi, Head of Marketing & Communication, SUVA

Statement

«Data is a lot more than the “oil” of the 21st century. Thanks to data science, it has become the main driver for the way we do business. It also serves as the basis for innovative products and services, not to mention entirely new business models, and it has changed the way we learn things and see the world. In other words, data science affects everything and is changing all industries and occupations. The new programme at Lucerne University of Applied Sciences and Arts examines these changes closely.»

Carmelo Iantosca, Chief Data and Analytics Officer of AXA Switzerland

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