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Masters Degrees (Ubiquitous Computing)

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Mobile and ubiquitous computing technologies allow interconnected computing devices to be embedded unobtrusively in everyday appliances and environments, and to co-operate to provide information and services on behalf of their human users. Read more
Mobile and ubiquitous computing technologies allow interconnected computing devices to be embedded unobtrusively in everyday appliances and environments, and to co-operate to provide information and services on behalf of their human users. This rapidly emerging field is driving the deployment of the next generation of Information Technology solutions and has been an active research area at Trinity College Dublin for many years. The Mobile and Ubiquitous Computing programme provides a comprehensive grounding in modern communications and wireless concepts and advanced distributed systems engineering, tightly aligned with an in-depth understanding of the technologies and development strategies used in building and deploying complete mobile and ubiquitous computing solutions. Specific topics to be covered usually include:

* Wireless Concepts and Technologies
* Real-time and Embedded Systems
* Vision Systems
* Information Architecture
* Middleware for Ubiquitous Computing
* Human-Computer Interaction
* Context Awareness
* Mobile and Transient Security
* Mobile and Autonomous Systems Innovation

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Application period/deadline. November 1, 2017 - January 24, 2018. Research-oriented degree provides an exciting opportunity to study in a leading-edge research environment. Read more

Application period/deadline: November 1, 2017 - January 24, 2018

• Research-oriented degree provides an exciting opportunity to study in a leading-edge research environment

• The studies combine both theoretical and practical approach

• Specializations in Applied Computing, Artificial Intelligence, and Computer Egineering

The International Master’s Degree Programme in Computer Science and Engineering (CSE) is a two-year research-oriented programme concentrating on intelligent digital solutions to real world problems. During the past decades, Computer Science and Engineering has had a significant impact into our daily lives. The development continues and soon computers will not be used as separate devices anymore. Instead they will blend into our living environments and offer us rich sets of services through natural and intuitive user interfaces. The graduates from Computer Science and Engineering will play a key role in this development.

The two-year programme has three specialisation options:

• Applied Computing

• Artificial Intelligence

• Computer Engineering

Applied Computing focuses on the next generation of interactive systems that place humans at the focus of the technological development. Adopting a multidisciplinary real-world approach, students have to spend a substantial amount of time working in group projects to develop a variety of systems ranging from interactive online services to games and mobile applications, with a strong focus on innovation and design.

Artificial Intelligence focuses in various fields of AI, such as machine learning, machine vision, and data mining. This specialisation provides students with a solid theoretical understanding and practical skills on processing and analyzing digital data and the ability to create intelligent solutions to real world problems with modern AI techniques.

Computer Engineering focuses on both hardware and software aspects of computing with emphasis on embedded system development. In this specialisation, students also study signal processing and its applications, and work with projects on modern signal processors and embedded computers. The specialisation gives the students a good basis to work with Internet of Things (IoT) applications.

In addition to the core specialization options, students can take optional courses to widen their specialization expertise into:

• Biomedical signal analysis

• Machine learning

• Machine vision

• Signal processing

• Embedded systems

• Ubiquitous computing

This Master’s programme is provided by the Faculty of Information Technology and Electrical Engineering, and students are strongly encouraged to work closely with research groups in the faculty that are international leaders in their fields. The Center for Machine Vision and Signal Analysis (CMVS) is renowned world-wide for its 35 years of expertise in computer vision research. The Center for Ubiquitous Computing (UBICOMP) has created a unique research environment for Ubiquitous Computing including multitouch wall-sized displays, smartphone sensing middleware and sensor networks. Biomimetics and Intelligent Systems Group (BISG) is a fusion of expertise from the fields of computer science and biology. During the studies the research groups provide students trainee and master’s thesis positions, with the possibility to continue as a doctoral student, and even as a post-doctoral researcher.

The programme will provide the graduates with sufficient skills to work in a wide variety of positions offered by research institutes and companies mainly operating in the field of information and communications technology (ICT). The graduates are most likely to be employed in research and development related positions, but also management positions and entrepreneurship fit into the profile.

Possible titles include:

• Research Scientist

• Software Engineer

• System Designer

• Project Manager

• Specialist

Students applying for the programme must possess an applicable B.Sc. degree in computer science, electrical engineering or relevant fields such as physics or applied mathematics.

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* Subject to validation, 2017 entry. Liverpool Hope’s MSc Computer Science is a research-informed, academically rigorous course and is designed to provide a flexible, purposeful and challenging set of coherent courses to meet scientific, industrial and employment challenges in this fast-evolving technological area. Read more
* Subject to validation, 2017 entry

Liverpool Hope’s MSc Computer Science is a research-informed, academically rigorous course and is designed to provide a flexible, purposeful and challenging set of coherent courses to meet scientific, industrial and employment challenges in this fast-evolving technological area. Graduates will have developed scientific and analytical skills which are highly valued in the computing, engineering, IT and business industries.

The course offers a mix of compulsory and elective courses, and a research dissertation, so you can focus your skill base and your potential career direction.

The course has been designed with employability in mind, whether it is within IT industry or as a function of other sectors, scientific computing and technical skills are in great demand and therefore highly valued. There are opportunities for placements and enterprise development.

Curriculum

The MSc Computer Science combines academic and practical course, consisting of eight taught courses (four compulsory and four elective) and a dissertation (final research project).

The Compulsory courses are:

· Computational Modelling and Simulation

· Algorithms

· Innovations in Computer Science

· Research Methods for Computer Science

· Dissertation for MSc Computer Science

Elective courses include:

· Embedded Systems and Robotics

· Cloud Computing and Web Services

· Mobile and Ubiquitous Computing

· Human Computer Interaction

· E-Business

Course Descriptions

· Computational Modelling and Simulation (compulsory – 15 credits): This course develops understanding and knowledge of the principles, techniques and design of computational modelling and their applications.

· Algorithms (compulsory - 15 credits): This course gives a firm grounding in the philosophy and evolution of algorithmic design and analysis for computer science, engineering and information systems.

· Innovations in Computer Science (compulsory - 15 credits): You will examine the particular research interests of Computer Science Department.

· Research Methods for Computer Science (compulsory - 15 credits): The course will expose you to the established techniques of research and enquiry that are used to extend, create and interpret knowledge in computer science

· Embedded Systems and Robotics (elective - 15 credits): This course will examine the Robotics Operating System and robotic programming languages, such as Urbi.

· Cloud Computing and Web Services (elective - 15 credits): You will study the concepts behind the idea of cloud computing and web services and gain practical knowledge of Azure, the .Net framework and C#.

· Mobile and Ubiquitous Computing (elective - 15 credits): You will examine mobile phone OSs (Android) and Windows Phone 7. You will learn how to develop software for these devices using JavaFX and C#/Silverlight.

· Human Computer Interaction (elective - 15 credits): Human computer interaction (HCI) is the study of interaction between people and computers and is the most multi-disciplinary module available in the MSc Computer Science.

·
* E-Business (elective - 15 credits): E-business encompasses, and is more than, e-commerce. You will examine e-commerce technology, such as the internet and web-based technologies.

· Dissertation for MSc Computer Science (compulsory - 60 credits): This module will allow the students to develop a Masters level research project with the support of an academic supervisor.

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The MSc in Management of Information Technology focuses on the management of the development of information technology solutions. Read more
The MSc in Management of Information Technology focuses on the management of the development of information technology solutions. A major knowledge gap exists between managers in industrial, commercial and governmental organisations that need to run the business but are confused by the IT systems, and those who deliver working IT solutions but are not addressing the business needs. The course will provide students with the opportunity to engage with technical and intellectual challenges that will enhance their ability to evaluate and manage Information Technology.

WHY CHOOSE THIS COURSE?

A special feature of this Masters in Management of Information Technology is the introduction to PRINCE2 which is the de-facto process-based method for effective management of projects across the world. This course will be suitable for students wishing to pursue careers such as; Management Consulting, Management, Leadership, Project Management in sectors such as; Consulting, IT/Technology, Telecoms, Aviation, Engineering and Manufacturing.

WHAT WILL I LEARN?

The course will provide a link between traditional, theoretical and topical skills in the management of information systems. The course will provide the students with the opportunity to engage with technical and intellectual challenges that will enhance their ability to evaluate and manage information systems. Students on this course will also be studying modules such as IT Strategy, Innovation and Knowledge Management, Humanitarian ICT, IT Project Management, Decision Support Systems, Supply Chain & Logistics Economics, Ubiquitous Computing and Leadership Development. The modules studied are:
-IT Strategy
-Humanitarian Information and Communication Technologies
-Network Security
-IT Project Management (With PRINCE2)
-Innovation and Knowledge Management
-Ubiquitous Computing
-Research Methods for Computing
-Decision Support Systems
-Global Professional Development
-Individual Project

For the award of MSc you must also complete the Masters Project. The project component, which is often undertaken with a company, involves practical application and development of some of the knowledge and skills acquired in the taught modules.

HOW WILL THIS COURSE ENHANCE MY CAREER PROSPECTS?

This course will be suitable for students wishing to pursue careers such as; This course will be suitable for students wishing to pursue careers such as; Management Consulting, Management, Leadership, Project Management in sectors such as; Consulting, IT/Technology, Telecoms, Aviation, Engineering and Manufacturing.

GLOBAL LEADERS PROGRAMME

To prepare students for the challenges of the global employment market and to strengthen and develop their broader personal and professional skills Coventry University has developed a unique Global Leaders Programme.

The objectives of the programme, in which postgraduate and eligible undergraduate students can participate, is to provide practical career workshops and enable participants to experience different business cultures.

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Computers are now ubiquitous with many devices and systems being controlled by software. Building robust and reliable software systems requires a deeper knowledge of software design principles and programming methodologies. Read more
Computers are now ubiquitous with many devices and systems being controlled by software. Building robust and reliable software systems requires a deeper knowledge of software design principles and programming methodologies.

The MSc Computing is a full time, one year taught course with a focus on programming and programming related aspects. This is to enable our graduates to go on to a professional career in the computing industry in roles such as team leaders or skilled developers.

The course is designed for students who already possess a degree in IT or related discipline or have equivalent industrial experience, and want to deepen their knowledge in software systems. It covers a range of topics including advanced programming, software engineering and testing, privacy and security, advanced user-interface design and high performance computing.

Course aims
-Advanced Programming: You will gain a thorough grounding of advanced programming concepts using Java, concurrent and real-time programming principles.
-User-Interfaces: You will be introduced to introductory and advanced methods in how users interact with systems (Human-Computer Interaction (HCI)).
-Advanced Software Engineering: You will learn the principles of software engineering using UML, formal methods and software testing.

Learning Outcomes
When you graduate from this course, you will have an in-depth understanding of software systems and programming principles and be able to lead a team of developers in the IT industry. You will have a thorough understanding of:
-Advanced programming knowledge including Java and principles for high performance computing.
-Designing and specifying software components and systems using UML.
-In-depth knowledge of user interface design principles.
-Software testing, privacy and security aspect of software engineering and software management.

Project

The individual project is undertaken by students in Terms 3 and 4 (Summer term and Vacation term). The subject matter of projects varies widely; most projects are suggested by members of staff, some by external organisations, and some by students themselves, allowing students to undertake work relating to an area of personal interest that they wish to develop further.

All project proposals are rigorously vetted and must meet a number of requirements before these are made available to the students. The department uses an automated project allocation system for assigning projects to students that takes into account supervisor and student preferences.

Examples of previous project titles include:
-Autosuggestions using Ajax to improve tag based tactile image retrieval
-An Implementation of Mobile Application in Location-aware Service Domain
-Design and Implementation of a Tool Support for Time Bands Modelling
-Image Anomaly Detection and Object Recognition
-Image retrieval using region of interest detection
-Modelling and Simulation of Business Processes
-Reinforcement Learning for the StarCraft Real-Time Strategy Game
-Software for Autistic Children with Communication Difficulties
-The Design, Implementation, and Safety Analysis of a Mobile ePrescription System
-Using Procedural Content Generation to Provide a Set of Game Challenges During a Single Playthrough

Information for Students

The MSc in Computing course is for those with some background in computing, and so we make some assumptions about your existing knowledge and understanding.

You'll start the course with a focus on writing and developing Java programs. We assume that you are familiar with programming concepts and terminology, so we advise you to review basic programming concepts, such as:
-Variables and their types
-Control structures (e.g. if-statements, loops)
-Subprograms (e.g. procedures, functions)
-Compilation and debugging.

If you have never used Java, you will benefit greatly from doing some reading and trying out Java programming before you arrive. We will teach you from first principles, but the pace will be fast and you will find it easier to keep up if you've practiced with the basics beforehand. Tutorials and practical exercises are the best way for you to prepare, and the Deitel and Deitel book below is a good source of these.

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We offer Industrial Experience options on all our full-time taught MSc programmes, which combine academic study with a one-year industrial placement between your taught modules and summer project. Read more
We offer Industrial Experience options on all our full-time taught MSc programmes, which combine academic study with a one-year industrial placement between your taught modules and summer project. Taking the Industrial Experience option as part of your degree gives you a route to develop real-world, practical problem-solving skills gained through your programme of study in a professional context.

This can give you an important edge in the graduate job market. As a leading research School, we have excellent links with industry. We also employ dedicated staff to help you arrange your year in industry. The Industrial Experience programmes are highly competitive and attract the best students given the limited availability of placements. We are unable to guarantee all students secure an industrial placement, as our industrial partners conduct their own employment application and interview processes.

The MSc in Sound and Music Computing responds to a growing skills shortage in industry for engineers and computer scientists trained specifically in sound and music processing, as digital media become ever more advanced and ubiquitous.

Developed by the acclaimed Centre for Digital Music (C4DM), this programme offers you a broad range of study options in methods of processing, analysis, synthesis and manipulation of musical signals. You will develop the knowledge and skills required for careers in the technical aspects of audio production, sound engineering, broadcasting, intelligent signal processing, computational music analysis, music information retrieval and other areas of sound and music computing. You will acquire an in-depth understanding of data analysis and signal processing techniques related to human speech and hearing, psychoacoustics and masking, and instrument and room acoustics.

The MSc is intended for graduates in a related discipline, who wish to hone and enhance their skills, and for industrialists with experience of sound and music computing, seeking formal qualifications. The taught modules are fully supported with computing and laboratory work.

You will graduate with an understanding of how today's audio and music technology works, possessing the potential to become a pioneer in developing future generations of leading edge music technologies.

This programme will:

Allow you to shape your own programme, by selecting two optional modules per semester to complement the core modules in Sound and Music Computing.
Give you and understanding of how today’s music and audio technology works, but also help you to become a leader in developing the next generation of sound and music computing technology.
Give you an understanding of the design and software development process for music recording, analysis and synthesis for home, studio and live performance environments.
Graduates from our programmes have gone on to work for companies such as Ableton, Last FM and Mix Genius.

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Computer Science influences every aspect of modern life and is one of the fastest-moving academic disciplines. It contributes to everything from the efficiency of financial markets to film and TV graphics and has a huge impact on both economic competitiveness and human wellbeing. Read more
Computer Science influences every aspect of modern life and is one of the fastest-moving academic disciplines. It contributes to everything from the efficiency of financial markets to film and TV graphics and has a huge impact on both economic competitiveness and human wellbeing.


Why study MSc Computer Science at Middlesex?

Our course not only offers a balance between advanced computer science theory and practical experience, but has a very strong focus on contemporary research. Practical work is an important part of every module and the School of Science and Technology has strong links with industry, including companies such as Microsoft and Siemens. The university is very active in the exploration of a number of areas, including computer graphics,mobile development, human-computer interaction, robotics, artificial intelligence, ethics, ubiquitous computing, functional programming, algorithmic biology, image and video analysis, quantum computing, computational biology and visual analytics, and this research influences the course very strongly.

Our course is aimed at students who've studied computing for their first degree, and wish to make themselves stand out further by developing an advanced mastery of the subject.

Course highlights:

The university is home to the Human Interactive Systems Laboratory, acentre of research into haptic technology, and leads the UK Visual Analytics Consortium.

Our specialist multimedia laboratories are well-equipped with industry-standard software and hardware, including both PCs and Macs.

Many of the teaching staff are the authors of widely-used textbooks and learning materials. They include:

Dr Kai Xu, a former senior research scientist with CSIRO, Australia's national science agency;
Dr Elke Duncker-Gassen, aformer systems and software engineer at GEI Gesytec;
Dr Chris Huyck, a former software engineer at Microsoft.
You'll also improve your communication, teamwork, time-management, problem-solving and critical skills.

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Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Digital Humanities at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Digital Humanities at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

Digital Humanities at Swansea has research strengths in innovative digital applications and critical studies of digital culture in several fields, where researchers in Arts, Humanities and Social Science areas are collaborating with Computer Scientists. These fields include applications and devices for the UK and international heritage sector, intellectual and literary history, digital editing, innovative mapping applications, applied linguistics and translation, digital mass media and experimental media, online cultures, digital pedagogy, digital security, war and crime, and societal impacts of digital technologies in both the rich and poor worlds. We are home to the Centre on Digital Arts and Humanities (CODAH), which connects arts and humanities, social science and computing researchers.

An MA by Research in Digital Humanities gives you the chance to pursue a project based around your own passions and interests, leading to a qualification which can open the door to an academic career or boost employment prospects outside academia (typically in the private sector, the Civil Service, or education).

The MA by Research in Digital Humanities will give you the freedom to explore a topic of your choosing and develop a methodology under the close supervision of two experienced academics but without attending regular classes as required in taught programmes.

You will be supervised closely by two experienced academics in your field. Typically, you will meet them fortnightly in the first term and at regular intervals thereafter. Meetings are logged and goals agreed each time.

All research students in Digital Humanities are required to attend skills and training courses at College and Institutional level. They give presentations to other research students and staff at departmental seminars and the annual departmental postgraduate symposium in June and the College of Arts and Humanities conference in October. Advanced research students may have opportunities to teach undergraduate tutorials and seminars. You have a budget (currently £200 per year) to attend conferences outside Swansea.

Environment and Staff Expertise

Digital Humanities boasts a dynamic research and teaching environment which has already won attention and funding from outside bodies such as the Coleg Cymraeg Cenedlaethol, the Arts and Humanities Research Council (AHRC), Wellcome Trust and the EU, most recently a multi-million EPSRC grant for “CHERISH-DE”.

COAH staff with relevant expertise are located within all the COAH Departments (Languages, Translation and Communication; English Language and Literature; History and Classics; Political and Cultural Studies). COAH staff work closely on digital research with staff in other Colleges, especially the College of Science (home to Computer Science, Geography), the College of Human and Health Science (Psychology, Public Health, Health Data), the College of Law (Criminology).

Computer Science research at Swansea has particular strengths in human-computer interaction, ubiquitous computing, devices for resource-constrained communities, medical applications and informatics, visual computing, data visualisation, theoretical computer science.



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The research programme leads to either an MPhil or PhD degree. Both research degrees involve individual study of a specific research problem. Read more
The research programme leads to either an MPhil or PhD degree. Both research degrees involve individual study of a specific research problem. To be awarded a PhD, your research work must result in a significant original contribution to the field of study (although this is not a requirement of the MPhil). You initially register for an MPhil degree, with transfer to PhD after satisfactorily completing an initial period of study and if it seems likely that your thesis will contain significant original work.

Students who successfully complete this MPhil or PhD degree will have gained expert knowledge in their chosen research area and the ability to perform research-led activities in a broader context. In addition, students who successfully complete the PhD degree will have gained the ability to identify and solve complex problems arising in their chosen research area, and will have made a substantial original contribution to this area.

Our research focuses on data science, theoretical computer science, algorithms, internet of things, data mining and machine learning, knowledge representation and reasoning, logic and artificial intelligence, semantic web technologies, search engines, mobile and ubiquitous computing, computer vision, bio-inspired computing and social networks.

Why study this course at Birkbeck?

The Department of Computer Science and Information Systems at Birkbeck is one of the longest-established computing departments in the UK, having celebrated our 58th anniversary in 2015.
Our research dates back to the late 1940s when one of the first electronic computers was developed in the then Computing Laboratory at Birkbeck by Dr Andrew Booth. The Department was formally established in 1957 as the Department of Numerical Automation, one of the first computer science departments in the world.
The Department provides a stimulating teaching and research environment for both part-time and full-time students.

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Distributed and networked computation is now the paradigm that underpins the software-enabled systems that are proliferating in the modern world, with huge impact in the economy and society, from the sensor and actuator networks that are now connecting cities, to cyberphysical systems, to patient-centred healthcare, to disaster-recovery systems. Read more
Distributed and networked computation is now the paradigm that underpins the software-enabled systems that are proliferating in the modern world, with huge impact in the economy and society, from the sensor and actuator networks that are now connecting cities, to cyberphysical systems, to patient-centred healthcare, to disaster-recovery systems.

This new Masters course will educate and train you in the fundamental principles, methods and techniques required for developing such systems. Given the number of elective modules offered, you will be able to acquire further skills in one or more of Cloud Computing, Data Analytics and Information Security.

Facilities include a laboratory where you can experiment with physical devices that can be interconnected in a network, and a cluster facility configured to run the Hadoop MapReduce stack.

A Year in Industry option is also available for this course.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/msc-distributed-and-networked-systems.aspx

Why choose this course?

This course will develop a highly analytical approach to problem solving and a strong background in distributed and networked systems, fault-tolerance and data replication techniques, distributed coordination and time-synchronisation techniques (leader-election, consensus, and clock synchronisation), data communication protocols and software stacks for wireless, sensor, and ad hoc networking technologies in virtualisation, and cloud computing technologies.

The course develops an advanced understanding of principles of failure detection and monitoring, principles of scalable storage, and in particular NoSQL technology.

Students will acquire the ability to:
- apply well-founded principles to building reliable and scalable distributed systems
- analyse complex distributed systems in terms of their performance, reliability, and correctness
- design and implement middleware services for reliable communication in unreliable networks
- work with state-of-the-art wireless, sensor, and ad hoc networking technologies
- design and implement reliable data communication and storage solutions for wireless, sensor, and ad hoc networks
- detect sources of vulnerability in networks of connected devices and deploy the appropriate countermeasures to information security threats.
- enforce privacy in “smart” environments
- work with open source and cloud tools for scalable data storage (DynamoDB) and coordination (Zookeeper)
- work with modern network management technologies (Software-Defined Networking) and standards (OpenFlow)
- design custom-built application-driven networking topologies using OpenFlow, and other modern tools
- work with relational databases (SQL), non-relational databases (MongoDb), as well as with Hadoop/Pig scripting and other big data manipulation techniques.

Department research and industry highlights

Royal Holloway is recognised for its research excellence in Machine Learning, Information Security, and Global Ubiquitous Computing.
We work closely with companies such as Centrica (British Gas, Hive), Cognizant, Orange Labs (UK), the UK Cards Association, Transport for London and ITSO.
We host a Smart Card Centre and we are a GCHQ Academic Centre of Excellence in Cyber Security Research (ACE-CSR).

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. If you are in the Year-in-Industry pathway, you then take an industrial placement, after which you come back for your project/dissertation (12 weeks).

Core course units are:
Interconnected Devices
Advanced Distributed Systems
Wireless, Sensor and Actuator Networks
Individual Project

Elective course units are:

Computation with Data
Databases
Introduction to Information Security
Data Visualisation and Exploratory Analysis
Programming for Data Analysis
Semantic Web
Multi-agent Systems
Advanced Data Communications
Machine Learning
Concurrent and Parallel Programming
Large-Scale Data Storage and Programming
Data Analysis
On-line Machine Learning
Smart Cards, RFIDs and Embedded Systems Security
Network Security
Computer Security
Security Technologies
Security Testing
Software Security
Introduction to Cryptography

Assessment

Assessment is carried out by a variety of methods including coursework, practical projects and a dissertation.

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different [department]-related areas, including This taught masters course equips postgraduate students with the subject knowledge and expertise required to pursue a successful career, or provides a solid foundation for continued PhD studies.

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Starting in 2016, and currently under development, Royal Holloway will offer a new Masters in 'The Internet of Things' (IOT). The Internet of Things is a new and fast expanding area in Computer Science, technology and engineering. Read more
Starting in 2016, and currently under development, Royal Holloway will offer a new Masters in 'The Internet of Things' (IOT).

The Internet of Things is a new and fast expanding area in Computer Science, technology and engineering: it concerns the systems of networked devices that are now sensing, transmitting and acting on data. A series of reports place the IoT as a new and transformative technology domain that will require millions of developers by 2020.

The course will educate and train you in the key areas required for operating the generation of networks of connected devices that are starting to proliferate (smart homes, smart cities, smart cars, and so on): data analysis, storage and processing; distrbuted and networked systems; and information security.

Facilities include a laboratory where you can experiment with physical devices that can be interconnected in a network, and a cluster facility for processing and analysing real data sets.

Please note this programme is subject to validation.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/msctheinternetofthings.aspx

Why choose this course?

The Masters in The Internet of Things at Royal Holloway will provide you with advanced knowledge and skills in three essential and critical areas:

- Data analytics is essential for getting value from the IOT. For example, in Formula One racing there are hundreds of sensors providing thousands of data points for analysis such as tyre pressure and fuel burn efficiency, which have to be collected in real-time for very quick analysis by race engineers onsite.

- Distributed computing and systems concern technical aspects such as algorithms for distributed coordination, time-synchronisation, scalable storage, virtualisation and cloud computing technologies, as well as methodological aspects such agent-based modelling and simulation.

- Cybersecurity is another essential aspect of the IOT. Recent news such as the safety recall issued by Fiat Chrysler of 1.4m vehicles in the US after tech magazine Wired reported that hackers had taken control of a Jeep Cherokee via its internet-connected entertainment system, are examples of how privacy, safety and security are major concerns for the IOT.

During your studies you will have 24/7-access to labs equipped with a state-of-the-art cloud computing testbed and a new generation of large-scale data processing platforms (such as Hadoop and MongoDB), which will give you the opportunity to gain hands-on experience working on real-life problems in areas as diverse as social network analytics, web data mining, and botnet detection.

Department research and industry highlights

Royal Holloway is recognised for its research excellence in Machine Learning, Information Security, and Global Ubiquitous Computing.

We work closely with companies such as Centrica (British Gas, Hive), Cognizant, Orange Labs (UK), the UK Cards Association, Transport for London and ITSO.

We host a Smart Card Centre and we are a GCHQ Academic Centre of Excellence in Cyber Security Research (ACE-CSR).

During your studies you will have 24/7-access to labs equipped with a state-of-the-art cloud computing testbed and a new generation of large-scale data processing platforms (such as Hadoop and MongoDB), which will give you the opportunity to gain hands-on experience working on real-life problems in areas as diverse as social network analytics, web data mining, and botnet detection.

Assessment

Assessment is carried out by a variety of methods including coursework, practical projects and a dissertation.

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different Computer Science-related areas, including This taught masters course equips postgraduate students with the subject knowledge and expertise required to pursue a successful career, or provides a solid foundation for continued PhD studies.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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Starting in 2016, and currently under development, Royal Holloway will offer a new Masters in 'The Internet of Things' (IOT) with a Year in Industry. Read more
Starting in 2016, and currently under development, Royal Holloway will offer a new Masters in 'The Internet of Things' (IOT) with a Year in Industry.

The Internet of Things is a new and fast expanding area in Computer Science, technology and engineering: it concerns the systems of networked devices that are now sensing, transmitting and acting on data. A series of reports place the IoT as a new and transformative technology domain that will require millions of developers by 2020.

The course will educate and train you in the key areas required for operating the generation of networks of connected devices that are starting to proliferate (smart homes, smart cities, smart cars, and so on): data analysis, storage and processing; distrbuted and networked systems; and information security.

Facilities include a laboratory where you can experiment with physical devices that can be interconnected in a network, and a cluster facility for processing and analysing real data sets.

Please note this programme is subject to validation.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/msctheinternetofthingsyearinindustry.aspx

Why choose this course?

The Masters in The Internet of Things at Royal Holloway will provide you with advanced knowledge and skills in three essential and critical areas:

- Data analytics is essential for getting value from the IOT. For example, in Formula One racing there are hundreds of sensors providing thousands of data points for analysis such as tyre pressure and fuel burn efficiency, which have to be collected in real-time for very quick analysis by race engineers onsite.

- Distributed computing and systems concern technical aspects such as algorithms for distributed coordination, time-synchronisation, scalable storage, virtualisation and cloud computing technologies, as well as methodological aspects such agent-based modelling and simulation.

- Cybersecurity is another essential aspect of the IOT. Recent news such as the safety recall issued by Fiat Chrysler of 1.4m vehicles in the US after tech magazine Wired reported that hackers had taken control of a Jeep Cherokee via its internet-connected entertainment system, are examples of how privacy, safety and security are major concerns for the IOT.

During your studies you will have 24/7-access to labs equipped with a state-of-the-art cloud computing testbed and a new generation of large-scale data processing platforms (such as Hadoop and MongoDB), which will give you the opportunity to gain hands-on experience working on real-life problems in areas as diverse as social network analytics, web data mining, and botnet detection.

Department research and industry highlights

Royal Holloway is recognised for its research excellence in Machine Learning, Information Security, and Global Ubiquitous Computing.

We work closely with companies such as Centrica (British Gas, Hive), Cognizant, Orange Labs (UK), the UK Cards Association, Transport for London and ITSO.

We host a Smart Card Centre and we are a GCHQ Academic Centre of Excellence in Cyber Security Research (ACE-CSR).

Assessment

Assessment is carried out by a variety of methods including coursework, practical projects and a dissertation. The placement is assessed as part of the Year-in-Industry degree.

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different Computer Science-related areas, including This taught masters course equips postgraduate students with the subject knowledge and expertise required to pursue a successful career, or provides a solid foundation for continued PhD studies.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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For Details see below. The deadline for Applicants who graduated outside of Europe allready expired. This international oriented 2-year master’s degree programme is based on the following pillars. Read more

Application for EU graduates until 30 September 2016

For Details see below. The deadline for Applicants who graduated outside of Europe allready expired.

About the Program

This international oriented 2-year master’s degree programme is based on the following pillars:
▪ The study of a range of topics within the field of human-computer interaction: usability, user-centred design and user interface testing and research, and innovative interface technologies such as virtual reality, mobile systems, adaptive systems, mixed reality, ubiquitous computing and graphic interfaces.
▪ Acquisition of key skills and competences through a project-based study approach.

In the English-language Human-Computer Interaction M.Sc. programme, students focus on theoretical and practical issues in current computer science research in the fields of user-centered design, interactive system development and evaluation. In addition, this technically-oriented HCI master offers the opportunity to participate in interdisciplinary projects and attend courses from Architecture and Urbanism, Art and Design, Media Studies and Media Management.

In general, our programme aims at people with a bachelor’s degree or minor in computer science. The medium of instruction for all mandatory courses is English. The program has received accreditation by Acquin until 30.09.2020 in April 2015.

More Information under https://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/human-computer-interaction-msc/

Program Structure

The programme comprises 120 ECTS, distributed into the following components:
▪ Four compulsory modules (Advanced HCI, Information Processing and Presentation, Virtual/Augmented Reality and Mobile HCI), each comprising 9 ECTS.
▪ Elective module (24 ECTS in total).
▪ Two research projects (15 ECTS each).
▪ The Master’s thesis module (30 ECTS).

In accordance with the Weimar Bauhaus model, research-oriented projects contribute towards a large proportion of the master’s programme. The elective modules allows students to incorporate courses from other degree programmes such as Media Studies, Media Management, Architecture and Urbanism, and Art and Design alongside the general Computer Science and Media course catalogue. Graded language courses up to 6 ECTS may also be included, or an additional HCI related project. The fourth and final semester is dedicated to the master’s thesis.

Further information on the curriculum : https://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/curriculum-master-hci/

Career Perspectives

The HCI Master was developed based upon our experiences with the long-standing Computer Science & Media Master program. CS&M graduates have all readily found employment in industry and academia, in R&D departments at large companies (e.g. Volkswagen, BMW), research institutes (e.g. Fraunhofer), as well as at universities, with many continuing into a PhD.

Usability is becoming more and more important for computer systems as computers are embedded in many aspects of everyday life. The ability to design complex systems and interfaces with regard to usability and appropriateness for the usage context increases in importance. HCI graduates can work both in software development, in particular in conception and development of novel interface technologies, and in the area of usability and user research, which both grow in demand on the job market. Our unique project-based study approach provides graduates with a skill set that qualifies them both for research and industry careers.

Studying in Weimar

The Bauhaus, the most influential design school in the 20th century, was founded in 1919 in our main building. A tie to this history was established in the renaming as Bauhaus-Universität Weimar in 1996. We are an international university in the unique, cultural city of Weimar. We are a vibrant institution, not a museum. Experimentation and excellence prevail throughout the 4 faculties where transdisciplinary projects and co-operations in research and education are conducted.

Weimar is a medium-sized city with UNESCO World Cultural Heritage sites. It is known for its connection to literature, the arts and music and also has a music university. The affordable living costs in this area of Germany and the rich cultural program of Weimar make it a very attractive location for students.

Application Process

Applicants who graduated outside of Europe apply online at: http://www.uni-assist.de.
Applicants who graduated in Europe and do not require a visa apply online at: Online-Application.

For details see http://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/application-master-hci/

Many typical questions about the program, application process and requirements are answered in our FAQ http://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/faq-application-hci/

Requirements

Higher Education Entrance Qualification:

Students need a school leaving certificate for studies completed at secondary education level. The formal entrance qualifications for international students are checked by uni-assist (see application process).

Academic Background in Computer Science (CS):

You need some academic background in CS, such as a bachelor's degree in CS, business informatics, HCI or related areas with a focus on CS and HCI. Students with a minor in computer science (at least 60 European Credit Points) may apply, here, decisions are on a case-by-case-base.

Only diplomas of international accredited universities will be accepted. Non-academic, practical experience in computer science alone does not suffice to qualify you.

Sufficient Marks from previous studies:

If the converted credit-weighted average grade of your Bachelor's degree is between 1.0 and 2.0 in the German system, your chances of acceptance are very good. Uni-assist does the conversion into the German system.

Language Requirements:

See http://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/application-master-hci/

The medium of instruction is English, some electives can be taken in German. B2 level (CEFR) of English proficiency is needed. We require a standardised language certificate (unless your bachelor degree was done in a native-English speaking country). We accept three types of language proficiency certificates:

TOEFL (80 internet-based, 550 paper-based at minimum)
IELTS (6.0 minimum)
ESOL Cambridge First Certificate in English

To be admitted, international students have to provide proof of German proficiency at level A1 (CEFR). This is required for registration to the program. You can apply before having the A1 certificate, but might need to show you are registered for the exam for your visum.


Motivational Letter and CV:

We highly recommend a detailed CV and motivation letter. Please do not send lengthy standard letters. Make clear you know our curriculum and point out why you chose our programme, and describe your specific interest in HCI i and why you want to specialize in this area.

Further information

Please check our FAQ
http://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/faq-application-hci/


link to Video by an international Master student (from the sibling program) talking about her experiences: https://vimeo.com/77485926

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Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains. Read more
Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains.

We offer a two-year Master of Science in Computer Science centered on this emerging field. The backbone of the program is constituted by three core units on advanced data management, machine learning, and high performance computing. Leveraging on the expertise of our faculty, the rest of the program is organised in four tracks, Business Intelligence, Health & Life Sciences, Pervasive Computing, and Visual Computing, each providing a solid grounding in data science and engineering as well as a firm grasp of the domain of interest.

By blending standard classes with recitations and lab sessions our program ensures that each student masters the theoretical foundations and acquires hands-on experience in each subject. In most units credit is obtained by working on a final project. Additional credit is also gained through short-term internship in the industry or in a research lab. The master thesis is worth 25% of the total credit.

TRACKS

• Business Intelligence. This track builds on first hand knowledge of business management and fundamentals of data warehousing, and focuses on data mining, graph analytics, information visualisation, and issues related to data protection and privacy.
• Health & Life Sciences. Starting from core knowledge of signal and image processing, bioinformatics and computational biology, this track covers methods for biomedical image reconstruction, computational neuroengineering, well-being technologies and data protection and privacy.
• Pervasive Computing. Security and ubiquitous computing set the scene for this track which deals with data semantics, large scale software engineering, graph analytics and data protection and privacy.
• Visual Computing. This track lays the basics of signal & image processing and of computer graphics & augmented reality, and covers human computer interaction, computational vision, data visualisation, and computer games.

PROSPECTIVE CAREER

Senior expert in Data Science and Engineering. You will be at the forefront of the high-tech job market since all big companies are investing on data driven approaches for decision making and planning. The Business Intelligence area is highly regarded by consulting companies and large enterprises, while the Health and Life Sciences track is mainly oriented toward biomedical industry and research institutes. Both the Pervasive and the Visual Computing tracks are close to the interests of software companies. For all tracks a job in a start-up company or a career on your own are always in order.

Senior computer scientist.. By personalizing your plan of study you can keep open all the highly qualified job options in software companies.

Further graduate studies.. In all cases, you will be fully qualified to pursue your graduate studies toward a PhD in Computer Science.

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See the department website - http://nsa.rit.edu/. Read more
See the department website - http://nsa.rit.edu/

Trends in network communications–unifying wired and wireless infrastructures, Cloud computing, scalability, collaboration tools, and security–can only be coalesced into reliable communication services if there are highly educated and technically proficient networking and system administration professionals who understand both traditional and emerging communication technologies as well as how to apply these technologies to organizational needs and opportunities.

The explosion in ubiquitous computing today means an increased need for greater efficiency and for better management oversight in the provision of IT services. Network environments are not only becoming increasingly complex, there is a greater recognition of the power of information technology to be a strategic enabler of corporate growth and adaptation.

The master of science program in networking and system administration is designed to provide both the knowledge and the technical skills needed to successfully compete in this environment. It is uniquely focused to address current issues in networking and systems administration through investigation of both the theoretical and the practical aspects of this continually evolving field. Course work examines the organizational and technological issues involved in enterprise scale networking, including emerging network technologies, network processing, high performance computing, network programming, and security.

The program is intended to prepare graduates to assume leadership positions in for-profit and not-for-profit organizations dealing with evolving networking solutions or to continue their education through advanced degrees. It is available for full- and part-time study in both an online format as well as a traditional on-campus setting.

Plan of study

The program consists of two required core courses, a three-course knowledge domain sequence, up to four technical electives (depending upon the capstone option chosen), and a capstone thesis or project.

- Knowledge domains

Students are required to complete a three-course sequence in one of the following knowledge domains.

- Electives

Students are required to choose up to four electives from the following choices.

Additional information

- Bridge courses

Students must have solid backgrounds in computer programming (C++ required); networking and systems administration theory and practice; and statistics. Students whose undergraduate preparation or industrial experience does not satisfy these prerequisites can make up deficiencies through additional study. The graduate program director will make recommendations on prerequisite course work. Formal acceptance into the program may be possible even though the applicant must complete bridge courses.

Bridge courses are not part of the required curriculum for the master’s degree. Grades for these courses are only included in the student's GPA if courses are completed after matriculation. Bridge course work can be designed in a variety of ways. Other courses can be substituted, or courses at other colleges can be applied. Contact the graduate program director for more information.

- Study options

This program may be completed on a full- or part-time basis, through on-campus instruction or via online learning. Full-time students may be able to complete the program in two years; part-time students may take approximately four years.

- Maximum time limit

University policy requires that graduate programs be completed within seven years of the student's initial registration for courses in the program. Bridge courses are excluded.

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