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Those interested in developing products and working with new processes might consider an advanced degree in technology. This program will allow individuals to incorporate science and engineering in a practical and innovative manner. A masters in technology, for example, will allow an individual to work in multiple fields which incorporate technology.
Master 16-30 (out of 45). Top Master Programs in Technology Studies in Sweden 2019
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Embedded sensors can be found in home and consumer electronics, medical electronics, in vehicles, within industry, army, and aviation, and even in space. The Master’s programme teaches you how to design embedded sensor systems and how to connect them to different products, programmes and apps and their features. The Master’s Programme in Embedded Sensor Systems was developed in cooperation with the industry and researchers and therefore, it responds to current and future market needs.
The one-year Master’s programme is to provide students with the knowledge and skills required to develop embedded systems individually and in groups. The aim is to enable students to develop the specialised knowledge and skills in computer science needed to be able to individually structure and analyse issues on the basis of current and relevant computer science theory focusing on embedded systems.
Robotics is a unique program that occupies the area where mechanical and electrical engineering and computer technology meet. The depth and breadth of the course (Master Program in Robotics) allow you considerable freedom of choice as to where you work.
Everything wants to be connected. Enter the program and shape the new boundaries in computing. The studies combine theoretical and practical components with a view to the hands-on experience demanded in the computer industry, a significant portion of the program is devoted to practical software and hardware design experiments and prototyping. Theoretical knowledge and engineering skills are acquired in Computer Systems and Communication Networks, and Distributed Systems and Machine Learning.
Functional and well-designed work systems, organisations and work environments are essential for a sustainable working life. This programme offers knowledge in proactive occupational safety and health management. You will learn how to plan, design and analyse work environments, from the perspectives of sustainable work and organisational performance.
Do you know your wireless communications, networking, and data analysis? We live in an increasingly online world, where not only people but also an increasing number of different machines and sensors are connected. Concepts that are becoming more frequent in both the mass media and specialised media include the internet of things, smart homes, the smart grid, the digitalization of industry and autonomous vehicles.
ICT Innovation is a master’s programme which combines technical competencies with skills in innovation and entrepreneurship. The programme has a strong focus on integrating education, research and business modules in its curriculum, and with active industry involvement.
The Master’s programme in Computer Science is designed to function as the final two years of the corresponding Civil Engineering programme. Students can choose to specialise in a wide range of topics, and have a high degree of flexibility
Computer Simulations for Science and Engineering (COSSE) is a master’s programme within the multidisciplinary field of Computational Science and Engineering (CSE), which is an enabling technology for scientific discovery and engineering design. CSE involves mathematical modelling, numerical analysis, computer science, high-performance computing and visualization. The remarkable development of large-scale computing in recent decades has turned CSE into the “third pillar” of science, complementing theory and experiment.
Students from the master’s programme in Applied and Computational Mathematics will become skilled applied mathematicians, well-prepared for advanced industrial positions or continued graduate studies. The programme contains four tracks: Computational Mathematics, Financial Mathematics, Optimization and Systems Theory, and Statistical Learning and Data Analytics.
The joint master's programme in Maritime Engineering is given in collaboration between the Nordic Five Tech universities – KTH, Chalmers, DTU, Aalto University and NTNU – and hereby combines these five universities lead expertise and long tradition in maritime engineering. Students begin their studies at one of the partner universities for year one and complete their studies at another university for year two, resulting in a double degree from the two universities.
The master’s programme in Sustainable Technology is based on the concept of industrial ecology with a focus on the understanding of interactions between technical, economic, social and ecological systems and processes. Industrial ecology is an interdisciplinary framework for designing and operating industrial systems as living systems interdependent with natural systems. It seeks to balance environmental and economic performance within an understanding of local and global ecological constraints.
The scientific discipline of Machine Learning focuses on developing algorithms to find patterns or make predictions from empirical data. The discipline is increasingly used by many professions and industries (for example manufacturing, retail, medicine, finance, robotics, telecommunications), as it can help create order in large amounts of digital data to solve difficult problems such as understanding human behaviour and providing efficient resource allocation. Demand for graduates with substantive expertise in machine learning far exceeds supply. The programme here at KTH equips you for a career in industry (a start-up or a traditional well-established company) and will also prepare you for further studies at PhD-level.
The purpose of the master’s programme in Systems, Control and Robotics is to equip students with the skills necessary to analyse, design and control complex technical systems. Such systems are key components in infrastructure and industry, and host a wide array of functions in our daily lives. Therefore, the successful integration of cutting-edge training in engineering with a balanced, holistic systems perspective will remain a crucial area of specialisation for the future.
Emerging computer networks and communication technology provide a new technological foundation for designing software systems. The systems become distributed, reconfigurable and adaptive, and their components employ a high degree of autonomy. This is an exciting and rapidly evolving field in which there is a continuous demand for qualified software engineers on the world labour market.