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Computer Science×

University of Southampton, Full Time Masters Degrees in Computer Science

We have 13 University of Southampton, Full Time Masters Degrees in Computer Science

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Course Summary. Computer science drives the fundamental technologies of today’s connected world. Read more

Course Summary

Computer science drives the fundamental technologies of today’s connected world. Suited to candidates with significant programming experience, this umbrella programme covers the foundations of a range of specialisms as well as providing the opportunity to deepen your understanding of one or more of these areas through a range of optional modules.

Modules

Semester one: Computer Vision; Designing Usable and Accessible Technologies; Evolution of Complexity; Foundations of Artificial Intelligence; Foundations of Cyber Security; Foundations of Data Science; Foundations of Web Science; Implementing Cyber Security; Intelligent Agents; Machine Learning; Robotic Systems; Software Engineering and Cyber Security; Software Modelling Tools and Techniques for Critical Systems; Software Project Management and Development; Topics in Computer Science; Web Development.

Semester two: Advanced Computer Networks; Advanced Computer Vision; Mobile Applications Development; Advanced Databases; Advanced Intelligent Agents; Advanced Machine Learning; Automated Code Generation; Automated Software Verification; Biological Inspired Robotics; Biometrics; Computational Biology; Computational Finance; Cryptography; Data Mining; Data Visualisation; E-Business Strategy; Further Web Science; Game Design and Development; Image Processing; Open Data Innovation; Secure Systems; Semantic Web Technologies; Simulation Modelling for Computer Science; The Science of Online Social Networks.

Plus three-month independent research project culminating in a dissertation.

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Course Summary. This programme prepares you to become a proficient data scientist, developing your specialist knowledge in subjects that are crucial for mastering the vast and ever-more complex information landscape that is characteristic of modern, digitally empowered organisations. Read more

Course Summary

This programme prepares you to become a proficient data scientist, developing your specialist knowledge in subjects that are crucial for mastering the vast and ever-more complex information landscape that is characteristic of modern, digitally empowered organisations. You will gain advanced knowledge in areas such as data mining, machine learning, and data visualisation, including state of the art techniques, programming toolkit, and industrial and societal application scenarios. We offer a conversion module that contains a series of optional tutorials at the beginning of semester one to equip students with the essential background material in computational thinking, maths and statistics, which are essential for this course. These tutorials are available to all students on the course, but may be particularly recommended for those graduates without a computer science background.

Modules

Semester one: Machine Learning; Foundations of Data Science; Data Visualisation; Cloud Application Development; Foundations of Artificial Intelligence; Evolution of Complexity; Intelligent Agents; Foundations of Web Science.

Semester two: Data Mining; Advanced Databases; Advanced Intelligent Agents; Advanced Machine Learning; Computational Finance; Open Data Innovation; Semantic Web Technologies; Simulation Modelling for Computer Science; The Science of Online Social Networks; Computational Biology; Applied Statistical Modelling; Advanced Computational Methods II.

Plus three-month independent research project culminating in a dissertation.

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Course Summary. This research led MSc incorporates traditional and state-of-the-art aspects of artificial intelligence (AI) and machine learning, through a contemporary approach which covers the fundamental aspects of traditional symbolic and sub-symbolic aspects. Read more

Course Summary

This research led MSc incorporates traditional and state-of-the-art aspects of artificial intelligence (AI) and machine learning, through a contemporary approach which covers the fundamental aspects of traditional symbolic and sub-symbolic aspects.

Modules

Semester one: Intelligent Agents; Machine Learning; Foundations of Artificial Intelligence; Computer Vision; Robotic Systems; Evolution of Complexity.

Semester two: Advanced Computer Vision; Biological Inspired Robotics; Advanced Machine Learning; Advanced Intelligent Agents; Computational Biology; Computational Finance; Image Processing; Semantic Web Technologies; Simulation Modelling for Computer Science; Biometrics.

Plus three-month independent research project culminating in a dissertation.

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Course Summary. Explore the impact of the Web on the digital economy and all aspects of human society, from the individual right through to national and global scales. Read more

Course Summary

Explore the impact of the Web on the digital economy and all aspects of human society, from the individual right through to national and global scales. Pioneered by Southampton in the UK and MIT in the US, Web Science analyses the Web at a systems level; on the one hand investigating the technical capabilities of its distributed information infrastructure whilst also scrutinising the public policy and social practices that have made it a transformative global phenomenon. This programme develops a multidisciplinary understanding of the Web in society and is open to graduates of Computer Science, IT, Social Sciences and the Humanities.

Modules

Semester one: Foundations of Web Science – Impact of Web on Society; Web Architecture (Web 1.0); Interdisciplinary Thinking; Research Methods for Assessing Technology.

Semester two: Further Web Science – Innovating and Evaluating Policy; Social Networks (Web 2.0); Semantic Web (Web 3.0); Computational Thinking; Innovation and Technology Transfer.

Plus three-month independent research project culminating in a dissertation.

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Course Summary. EMECS is a two-year programme run with Kaiserslautern University and the Norwegian University of Science and Technology at Trondheim. Read more

Course Summary

EMECS is a two-year programme run with Kaiserslautern University and the Norwegian University of Science and Technology at Trondheim. Students benefit from the University of Southampton’s expertise in system-on-chip and electronics, Trondheim’s knowledge of electronics and communications and Kaiserslautern’s strong track record in embedded systems. EMECS covers the fundamentals of embedded computing systems and offers an equivalent education in the three institutions. The elective part of the programme reflects the profiles of the participating partner universities. You will also write a masters thesis. Key facts additional information: (120 ECTS credits) pursued at two of the three participating institutions students spend one year at each of their selected universities and receive a joint degree from the respective institutions; language of instruction is English

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Course Summary. There is currently a worldwide shortage of skilled practitioners in cyber security. Read more

Course Summary

There is currently a worldwide shortage of skilled practitioners in cyber security. Our MSc is specifically designed to give students a well-rounded, multidisciplinary view of the subject area, embracing not only the technical subjects, but also aspects of criminology, risk management, law and social sciences. The programme has been awarded certification against the ‘GCHQ Certified Master’s degree in General Cyber Security’ standard. We are one of only 14 universities recognised as an Academic Centre of Excellence in Cyber Security Research by the UK government.

Modules

Semester one: Foundations of Cyber Security; Implementing Cyber Security; Software Engineering and Cyber Security; Software Project Management and Development; Machine Learning; The Management of Corporate Security; Corporate Risk Management Processes; Criminal Behaviour.

Semester two: Cybercrime, Insecurity and the Dark Web; Secure Systems; Cryptography.

Plus three-month independent research project culminating in a dissertation.

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Course Summary. This programme covers traditional and contemporary approaches to software development, from formal methods to object-oriented programming. Read more

Course Summary

This programme covers traditional and contemporary approaches to software development, from formal methods to object-oriented programming. You will study with experts in subjects such as computer vision; critical systems; cryptography; distributed computing systems; e-business; intelligent agents; model checking and multimedia.

Modules

Semester one: Software Modelling Tools and Techniques; Software Project Management and Development; Web Architecture; Web Development; Intelligent Agents; Designing Usable and Accessible Technologies; Machine Learning; Implementing Cyber Security; Software Engineering and Cyber Security.

Semester two: Automated Code Generation; Semantic Web Technologies; E-Business Strategy; Open Data Innovation; Cryptography; Advanced Intelligent Agents; Advanced Machine Learning.

Plus three-month independent research project culminating in a dissertation.

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Course Summary. Systems in mobile telephones, computers, cars and aircraft are shrinking, with many parts implemented as a single integrated circuit. Read more

Course Summary

Systems in mobile telephones, computers, cars and aircraft are shrinking, with many parts implemented as a single integrated circuit. This programme prepares you for the rapidly changing skills required to support this. The focus is on system-on-chip design techniques and extensive practical use of cutting-edge and industry-standard methods. You will be taken through the system-on-chip design process, from concept to implementation.

Modules

Semester one: Secure Hardware Design; Nanoelectronic Devices; Digital System Design; Digital IC and Systems Design; Real-Time Computing and Embedded Systems.

Semester two: SOC Design Project; Analogue and Mixed Signal CMOS Design; Advanced Wireless Communication Networks and Systems; Medical Electrical and Electronic Technologies; Cryptography; Digital Systems Synthesis; Embedded Processors.

Plus three-month independent research project culminating in a dissertation.

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Course Summary. This programme studies the Web as a foundational technology for the digital economy, including the architecture and services that support a mobile infrastructure of social networks and big data services. Read more

Course Summary

This programme studies the Web as a foundational technology for the digital economy, including the architecture and services that support a mobile infrastructure of social networks and big data services. The programme specialises in web system development and requires a technical background with good programming experience.

Modules

Semester one: Web Architecture; Foundations of Web Science; Research Methods for Assessing Technology; Web Development; Designing Usable and Accessible Technologies; Implementing Cyber Security.

Semester two: Semantic Web Technologies; Science of Online Social Networks; Open Data Innovation; Intelligent Agents; E-Business Strategy.

Plus three-month independent research project culminating in a dissertation.

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Course Summary. The applications of embedded systems can be found in all sectors of the economy. consumer electronics, car industry, media and process industries and also banking and commerce. Read more

Course Summary

The applications of embedded systems can be found in all sectors of the economy: consumer electronics, car industry, media and process industries and also banking and commerce. This programme will equip you with the key skills required to design embedded systems. This includes hardware design and verification, real time computing, embedded processors with extensive practical use of cutting-edge and industry-standard tools and methods. You will be taken through the embedded system design process, from concept to implementation and testing.

Modules

Semester one: Real-Time Computing and Embedded Systems; Digital System Design; Secure Hardware Design; Digital IC and Systems Design; Signal Processing.

Semester two: Embedded Processors; Advanced Systems and Signal Processing; Digital Systems Synthesis; Cryptography; Applied Control Systems; Mobile Applications Development.

Plus three-month independent research project culminating in a dissertation.

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Summary. This MSc in Knowledge and Information Systems Management will give you a deeper understanding of the ways in which information and knowledge are generated, used and shared within organisations. Read more

Summary

This MSc in Knowledge and Information Systems Management will give you a deeper understanding of the ways in which information and knowledge are generated, used and shared within organisations. The course covers the strategic application of information technologies, including recent trends such as big data and cloud computing, and the development and use of information systems. You’ll also learn about the social and organisational aspects of managing knowledge, which are covered in more depth than on most other similar UK masters courses.

Learning and teaching

You will learn through a series of teaching and learning activities and assessment methods designed to advance your theoretical grounding in the discipline as well as your ability to function more effectively in a work environment. For example, during the programme, you will present some of your work in class, work together in teams to produce a business proposal, etc.

Modules

Systems Thinking; Problem Structuring; Introduction to Knowledge and Information Systems Management; Information Systems Development; Information Systems Management and Strategy; Consultancy Skills; Business Ethics; Simulation; Knowledge Management and Business Intelligence; Quantitative and Qualitative Research; E-Business & Human-Computer Interaction; Web Applications; Credit Scoring and Data Mining; Project Risk Management; Innovation and Technology Transfer.

Career opportunities

Career opportunities are often related to knowledge management, the management of the IT function or information systems provision within organisations, or IT/digital/web consultancy. Future career paths may for example include roles such as that of IT manager, project lead, business/process analyst, IT/digital consultant, chief knowledge officer or knowledge manager, etc.

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Summary. This innovative, interdisciplinary programme combines the areas of remote sensing and spatial analysis (GIS), giving scope for a broad overview or specialisation. Read more

Summary

This innovative, interdisciplinary programme combines the areas of remote sensing and spatial analysis (GIS), giving scope for a broad overview or specialisation. It focuses on realworld problems by applying technology to areas such as public health and environmental management. It combines the study of these two key spatial technologies into a single programme that will enhance your employability in these communities.

Modules

Typical modules: Skills and Project Work; Core Skills in GIS; Practical Skills in Remote Sensing; Topographic Data Analysis; Technique and Application Optional modules: GIS for Environmental Management; Sensing; Programming for GIS and Spatial Analysis, GIS for Healthcare Management; GIS for Analysis of Health; Programming Skills in Remote Sensing for Earth Observation Plus dissertation, with possibility of projects with industrial partners.

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Summary. This programme represents an innovative approach to games design, which brings the latest technologies and techniques together. Read more

Summary

This programme represents an innovative approach to games design, which brings the latest technologies and techniques together. You will learn to create valuable graphic art assets and narratives, developing a keen understanding of games design in the professional world and learning how to develop your own games with a variety of tools and programming skills. You can become a member of our Games Design Hub, bringing you valuable research opportunities and professional contacts and enabling you to consider commercialising your final projects. The MA will help you develop, innovate and create artefacts within an environment that values exploration along side tutors with top industry experience. It will provide you with the key skills you need to succeed in games development as a programmer, narrative developer, concept artist or games animator.

Modules

Core modules: Research Skills, Design (Studio), Design (Global Media Management) and Final Project.

Optional Modules: Visual Culture, Entrepreneurship, Responsible Design, Digital Marketing Communications, Global Marketing, Digital Cultures, Display: Interpreting the Language of Design.

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