Understanding the potential of 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 and analytical skills but are also able to apply them as creative entrepreneurs. The ability to recognize relationships in large data sets and to unleash their value is increasingly becoming a key competence that companies and organizations are eager to acquire, resulting in strong demand for talented experts who can use this potential to best effect.
The multidisciplinary Master's program 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 wide range of career options in SMEs, corporations, public institutions, and non-profit organizations.
Why choose the Master’s program in Applied Information and Data Science at Lucerne University of Applied Sciences and Arts?
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, organizations, and society make better decisions. To this end, the Master's program 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.
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.
Our Master’s program emphasizes the interdisciplinary nature of data science and covers topics in fields as varied as technology, analytics, design, and management. This ensures that students will have a broad, multidisciplinary experience and gain excellent prospects as businesspersons or researchers.
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 program is designed for ambitious individuals with a university degree, a strong interest in data technologies, and above-average analytical abilities.
The English-language Master's program in Applied Information and Data Science has an international orientation based on the EDISON project of the European Curriculum Development Program, which is part of the EU’s research and innovation program “Horizon 2020.”
Students will learn how to access, integrate, and prepare data from a range of sources and to recognize patterns in complex data sets, and interpret and use them when making forecasts. However, their technical and method skills must also match their ability to effectively communicate the insights they gained from the data. Our students, therefore, learn to present the findings they derive from data convincingly and to describe them correctly in accordance with professional standards. The program also strongly emphasizes the importance of using such data responsibly and therefore covers in-depth the ethical, legal, and social issues that arise in this connection.
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)
Flexibility in creating your profile
The concept of "applied" is at the heart of our program, and we, therefore, provide students with the technical, methodological, analytical, and communication skills and knowledge they need when working on real-life projects.
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
The 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.
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.
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.
By completing the Master’s Thesis, students demonstrate their ability to manage a real-life data project by doing a thorough research and meeting high professional standards. The program 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 program.
Earn up to 120 ECTS credits with flexible modules
The Master’s program 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.
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 and registration
The Master’s program in Applied Information and Data Science is designed for people with a Bachelor’s degree from a range of disciplines, especially the social sciences, humanities, or natural sciences. Specialization in computer science or statistics at the Bachelor's level is not a prerequisite for admission. Those without prior knowledge of statistics and computer science will learn the basics during the preparatory modules in the first semester.
Applicants must have a strong interest in data technologies, a pronounced affinity for analytical problems, and an above-average commitment to their work. In addition, they must meet the following prerequisites:
Bachelor’s Degree (180 ECTS credits)
Reasonable results aptitude test results
Positive results on the personal interview (in German or English)
Proof of sufficient command of English (C1 level under the European Framework of Reference for Languages; B2-level applicants are admitted conditionally)
Applicants will have an interview conducted in person or online to help determine if the program is suitable for them.
Credit for prior knowledge
Students can request to have their prior knowledge or coursework credited toward the current program. There are three possibilities:
Recognition of coursework (only credited toward required modules). The coursework has to be comparable to the modules of the Master’s program in terms of content and level.
Recognition of study-relevant professional experience (0-12 ECTS credited toward general core electives). We only consider relevant professional experience gained in the fields of data analytics and data engineering.
Recognition of job-related specialist knowledge (only credited toward required modules). This award of credit is handled very restrictively.
Accreditation applications are considered after registration for the Master’s program. They can also be submitted after the start of the program.
Preparation for studies
By registering for the course, students gain access to a specialized online learning platform for data scientists (www.datacamp.com). They will need to attend some introductory courses in preparation for their studies, e.g., on the Python programming language or on using the R software. This is especially useful for those with little or no knowledge of programming. The Master's program does not require any specific preparations otherwise.
To register you must complete and submit the official online registration form and include all the required documents. We will then contact you about the:
English language test
Personal interview (in German or English)
«If you still think that data is merely a nice add-on for your operations, you’re missing out on opportunities for innovating, developing your company, making progress, and gaining new knowledge. As a young entrepreneur, I had the chance to start my own business after getting my Master’s degree at Lucerne University of Applied Sciences and Arts, and I’m now able to show others how to use data to develop their business model.»
Kevin Kuhn, Managing Partner of Jaywalker Digital AG