8 Engineering MSc Degree Programs in Switzerland

To master this ever growing complexity, future software engineers will make extensive usage of AI. In the Master in Software Engineering with AI (MAISE), students learn the foundational technologies behind AI for software engineering, they see many applications of AI to improve software development, and they experiment with AI for software development in practice.

MSc in Therapeutic Technologies (Medtech, Biomedical IT, Pharma technology) offers an in-depth engineering-based training in Pharma technology, Medical technology, and biomedical IT.

"Study Geomatics - The Space is Yours" The eight Universities of Applied Sciences in Switzerland are offering the practically oriented MSE master’s programme. In this course of study, you can benefit from a diverse range of courses structured in 14 profiles, which offer great scope for personal choice and have a network of specialists and students all across Switzerland. With the MSE profile in Geomatics, you will be able to secure your place in the future-oriented and multi-faceted geospatial industry. You will specialise in selected aspects of geomatics such as surveying, visualising, and processing geodata and you will become a specialist in Big Spatial Data, GIS, GPS, or cartography.

The Master of Science in Engineering (MSE) enables students to specialise in specific areas of technical sciences, information technology, and construction and planning. OST offers this consecutive master’s program, which is unique in Switzerland, in collaboration with all Swiss universities of applied sciences. Choose from 11 profiles. The master’s program is targeted towards subject-specific, project-oriented specialisation. Within the framework of your chosen profile, you will complete projects, take supplementary lessons, and write a master’s thesis at OST. These profiles are linked to the application-oriented research and development that is carried out at OST. You thereby acquire the very latest scientific knowledge, gain an application-oriented understanding of individual subjects and the broader field of science, and can major in a specific area.

Scope Chemical engineering and bioengineering inhabit an exclusive position at the interface between engineering and molecular science. Intimately connected to the basic sciences such as chemistry, biology, and physics – and in association with engineering disciplines such as mechanical engineering, materials science, electrical engineering, and computer science – chemical engineering and bioengineering aim to develop new processes and methods for the design, production, transformation and application of existing and novel materials. The basic mission of chemical and bioengineers is to develop new applications of molecules and biomolecules that will improve the quality of life, and to produce them in quantities and at a cost that allows them to be accessible to all.

Artificial intelligence (AI) and robotics have emerged as influential discoveries in the world of data science and machine learning. Applications of AI in robotics rover from inside to outside of the heavy-duty industry settings i.e. automating tasks which otherwise needed immense human effort and of course time. Over the last few years, AI’s increasing presence in robotic solutions has opened room for flexibility and learning capabilities in formerly rigid robotic solutions. Robotics being an amalgamation of Electrical Engineering, Mechanical Engineering, and Computer Science, when merged with Artificial intelligence changes the way robotics, has been working till now. This course would enable students to embrace the concepts of artificial intelligence and understand their extension to robotics. Students will work on projects involving the development of facial recognition systems and manipulation.

Graduates of the bachelor's degree deepen their knowledge of advanced measurement methods, especially under the aspect of sustainability. The students have the opportunity to deepen the basic and specialist knowledge they have already acquired and are involved in research and development work that is carried out in close cooperation with doctoral students and lecturers. The focus can be set individually by the students.

Artificial intelligence (AI) and robotics have emerged as one of the most influential discoveries in the world of data science and machine learning. Applications of AI in robotics rover from inside to outside of the heavy-duty industry settings i.e. automating tasks that otherwise needed immense human effort and of course time. Over the last few years, AI’s increasing presence in robotic solutions has opened room for flexibility and learning capabilities in formerly rigid robotic solutions.