Data is the foundation of many products and services that shape our daily lives—and the demand for data science professionals is correspondingly high. With the MSE in Data Science, you’ll be well-prepared to develop innovative, data-driven solutions. A degree in this field opens the door to top-level professional positions or careers in research and development.

At the University of Applied Sciences of Grisons, you’ll delve into machine learning and simulation for predictive models and hybrid approaches; visual analytics to explore, communicate, and interactively utilize data-driven insights; as well as scalable data processing and high-performance computing (HPC) for data-intensive applications. Another focus is on the development and application of large language models (LLMs) and NLP methods for text analysis, information extraction, and semantic search, as well as on research into information-seeking behavior. You will apply your skills in an interdisciplinary manner—for example, in computational science, engineering, life sciences, or sports. You will deepen your expertise through practice-oriented projects—either as part of research projects at the University of Applied Sciences of Grisons or in collaboration with industry partners.

The Master of Science in Engineering (MSE) is an educational program jointly developed by Swiss universities of applied sciences. It is designed for highly motivated bachelor’s degree graduates with excellent academic records.

Data science skills are among the most sought-after qualifications on the job market—and demand continues to grow as artificial intelligence becomes more widespread. With an MSE in Data Science, a wide range of career paths are open to you: in industry as well as in the ICT sector, in healthcare and the life sciences, at banks and insurance companies, in public administration, in sports, or in research and development.

As a graduate, you could work, for example, as a data scientist, data engineer, machine learning or AI engineer, as a specialist in data visualization and visual analytics, or as a computational scientist in the field of simulation and high-performance computing. With your expertise in large language models (LLMs) and NLP, you’re also ideally suited for developing AI-powered applications—one of the most dynamic fields in digital transformation.

The master’s degree qualifies you for challenging specialist and leadership positions in which you will design, implement, and oversee data projects. A career in applied research is also open to you—for example, at universities or in corporate research and development departments. In this way, you’ll actively help shape the data-driven transformation of the economy and society.

Data science combines statistics, computer science, and machine learning to generate knowledge and added value from data. The MSE in Data Science is based on three thematic pillars: data analytics, data engineering, and data-driven products and services.

With an MSE in Data Science, you’ll master the entire data value chain: You’ll apply statistical methods to describe and explore data and draw well-founded conclusions from it, and you’ll develop data-driven models using data mining, machine learning, and deep learning. You will organize the collection, storage, and processing of data from heterogeneous sources and develop applications that process data streams and deploy models in a production environment. In addition, you will understand business requirements for data products and be familiar with non-technical considerations such as ethics, data protection, and security.

Program Focuses:

At the University of Applied Sciences of Grisons, you will focus on the following areas:

• Machine learning and simulation for predictive models and hybrid approaches
• Visual analytics for exploring, communicating, and interactively utilizing data-driven insights
• Scalable data processing and high-performance computing (HPC) for data-intensive applications
• Cross-domain applications in computational science, engineering, life sciences, and sports
• Development and application of large language models (LLMs) and NLP methods for text analysis, information extraction, and semantic search, as well as research into information-seeking behavior

To be admitted to the MSE Engineering program, you need a bachelor’s degree in Computational and Data Science or a comparable degree. Your overall academic performance throughout the bachelor’s program must correspond to an ECTS grade of A or B. If you have a grade of C, admission may be granted “sur dossier.” A grade of D is not accepted.

If you have any questions about the admission requirements, please contact us. We’re happy to help.

How much does the MSE Engineering at the UAS Grisons cost? Where does the course take place? How many ECTS credits will I receive? How many days do I have classes? What degree will I have after the course?

If you would like to enroll in the program, please send the fully completed enrollment form along with the required documents to the administration office at the University of Applied Sciences of the Grisons.

Start of Studies

Fall semester: September
Spring semester: February

Application Deadline

Fall semester: May 31
Spring semester: November 30

Admission is granted based on the date the application materials are received. Applications submitted after the deadline will still be considered if there are available spots.

Advising

Do you have questions about academic or administrative matters? Would you like academic advising? We’re happy to help.

University of Applied Sciences of the Grisons
Pulvermühlestrasse 57
7000 Chur
Switzerland

Phone +41 81 286 24 86
Email mse@clutterfhgr.ch