From AI and cryptocurrencies to computer vision and machine learning, explore advances at the forefront of technology and take your skills in critical, independent and innovative thinking to a higher level.,In a fast-moving world, computer science is the force behind the technological breakthroughs that have changed our lives for the better. The MEng in Computer Science develops the fundamental knowledge and practical skills that are in demand across the sector. You’ll explore a wide range of innovative technological applications such as cryptocurrencies, quantum computing, machine learning, deep learning, computer vision and cybersecurity among others. Our close links with high-technology industries keep us up to date with changing priorities in the sector. This insight allows us to introduce new topics into the curriculum to keep in step with developments. The course emphasises programming and mathematical skills from the start. The first year provides an introduction into the fundamentals of computer science and gives you a glimpse into some of the research that has enabled major technological advances in society. As well as equipping you with academic knowledge, the curriculum develops the skills you’ll need to boost your career prospects. The Software Engineering module in Year 2 includes a team project in which you gain practical software development experience working with an external organisation. You will be taught by passionate researchers with diverse areas of expertise such as artificial intelligence, data science, bioinformatics, high-performance computing, graphics and fundamental algorithms. The final-year Advanced Project is an opportunity to fully engage with the cutting-edge research being carried out in the department. You can also apply to add a placement year or a year abroad to your MEng degree, increasing the course from four years to five.During the first two years you will follow a similar structure to the BSc. From the third year the MEng introduces a wider range of modules and an Advanced Project which explore the subject to a deeper level.Course structureYear 1 modulesCore modules:Algorithms and Data Structures introduces the theory and practice of problem-solving in computing through the development of algorithms, and their associated data structures, for common computer science problems.Computational Thinking explores the breadth of Computer Science and the ways in which different topics relate to one another. You will learn the importance of computation and computational thinking in the modern world and the impact it has on technology advances in different settings.Computer Systems provides an understanding of the way in which modern computer systems (both hardware and software) can effectively represent, transport and manipulate data.Mathematics for Computer Science introduces key concepts from linear algebra, calculus and mathematics, and explains their importance in the field of computer science.Plus either Programming (Black) or Programming (Gold).Year 2 modulesCore modules:Networks and Systems extends the understanding of the principles and practices of programming and using different computer systems. This module looks at distributed systems, networks, security and databases.Programming Paradigms will broaden your view of programming and programming languages as well as aiding your understanding of the systems and procedures related to computer programming.Theory of Computation introduces you to different models of computation and how they are related. You will learn the fundamental notions of computation such as 'computable' and 'efficiently computable' and the design and analysis of efficient algorithms.Artificial Intelligence provides an understanding of some of the core problem-solving principles of Artificial Intelligence (AI) and the role of AI in the real world.

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Computer Science - MEng (Hons)

At Durham University

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