View all Masters Programs in Computer Science 2019 in Stockholm in Sweden
In order to successfully obtain a Masters qualification, you will need to obtain a number of credits by passing individual modules. Most taught Masters will have a number of core modules which you must take and pass in order to obtain the qualification. The assessment of research Masters is almost always entirely by a single dissertation module or project.
The foundations of computer science actually date back to before the modern computer had actually been created. For instance, algorithms for computing have been around for hundreds of years. One book of Sanskrit algorithms dates back to 800 BC.
Being the largest city in Sweden, Stockholm has over 1.3 million people in the urban area. The city comprises of several Islands and it is the capital city of Sweden. Stockholm has over 10 universities and colleges.
Request Information Master's Degrees in Computer Science in Stockholm in Sweden 2019
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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 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.
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.
Embedded systems are the most common form of computer system, utilizing around 98 percent of all manufactured processors for their applications – from sewing machines and cars to satellites and power plants. The common denominator for these systems is high-level demands on functionality and reliability.
Students learn the basics for design for creative and immersive technology as well as the basics for Internet of Things. New platforms, based on technology such as 5G, Internet of things, eXtended Reality and Artificial Intelligence are discussed. Furthermore, it is investigated how these platforms can use virtual environments to interact with society.
Students learn how to employ decision support systems, risk management and the basics of data science. The second year students choose track and deepens the knowledge in either decision analysis or data science. This programme is suitable for graduates from various disciplines.