Applied Physics | Master of Science in Technology

Are you looking to explore the dynamic and ever-growing link between fundamental and applied physics? Do you want to develop advanced and reliable devices capable of operating in harsh environments? Are you fascinated by experimental physics conducted at laboratory facilities such as CERN in Switzerland? Would you like to impact the transition from electricity generated by fossil fuels toward a more sustainable future with reliable electric alternatives?

Physics is the cornerstone of groundbreaking scientific research in various fields, including clean energy, communication and information technologies, and health and environmental sciences.

The LUT Master's Programme in Applied Physics will challenge you to go beyond your curiosity.  This two-year programme is specially tailored for applied, industrial, and experimental physics, leading to a degree of Master of Science in Technology, M.Sc. (Tech). Our highly collaborative international research department provides students with an environment to develop their expertise in semiconductor technology, smart materials, superconductors, applied physics instrumentation, and computational physics, including data analysis of experiments.

The Master's Programme in Applied Physics degree emphasises real-world project work, in which students will bring a project from conception to design, implementation, execution, analysis, and documentation. 

The programme's project focus and the broad set of skills it provides will make our students attractive to a wide range of potential employers.

Industry partners may suggest projects as extensions to their own R&D efforts, in areas such as reliability testing techniques for semiconductor components and batteries, Internet of Things architecture or cost-effective sensing devices. If you choose to develop an idea of your own, we will help you investigate its feasibility and facilitate your efforts to develop it. 

Students interested in big data research will be able to contribute to the analysis of data from the CERN Compact Muon Solenoid (CMS) experiment and the development of Machine Learning (ML) analysis tools and software. The vast amount of data from CMS offers a great opportunity to tackle big data challenges. Students also gain hands-on experience with the latest ML tools and algorithms