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Masters Degrees (Object Oriented Programming)

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Who is this course for?. Recent graduates in Electrical or Electronic Engineering or Computer Science, who wish to develop their skills in the field of distributed computing systems. Read more
Who is this course for?
Recent graduates in Electrical or Electronic Engineering or Computer Science, who wish to develop their skills in the field of distributed computing systems.
Practicing engineers and computer professionals who wish to develop their knowledge in this area.
People with suitable mathematical, scientific or other engineering qualifications, usually with some relevant experience, who wish to enter this field.

Modules

Computer Networks, which aims to advance knowledge on computer networks. Topics to be covered in this module include OSI reference model, Physical and Data Link Layer Protocols, TCP/IP Networking, IPv6, Routing Protocols, Asynchronous Transfer Mode (ATM) Networks, Packet Delay and Queuing Analysis, IP Quality of Services (Integrated Service Model and Differentiated Service Model), Resource Reservation Protocol (RSVP), Multi-Protocol Label Switching (MPLS), IP Multicasting, Network Application Layer Protocols such as HTTP, DNS, SNMP.

Network Computing, which focuses on principles and techniques for network computing. Topics to be covered in this module include Object-Oriented Software Engineering, Object-Oriented Programming with Java, Network Computing Models such as Client/Server Model and Peer-to-Peer Model, Socket Programming, Remote Procedure Call (RPC), Java Remote Method Invocation (RMI), Common Object Request Broker Architecture (CORBA), Web Computing Technologies (Java Servlet, Java Server Pages), Message Exchanging with XML, Service Oriented Architecture (SOA), XML based Web Services (WSDL, SOAP, UDDI).

Network Security and Encryption, which introduces the fundamental theory that enables what is achievable through the use of Security Engineering to be determined, and presents the practical techniques and algorithms that are currently important for the efficient and secure use of distributed /Grid computing systems. Topics to be covered in this module include Introduction to Security Engineering, Classical Cryptography (Monoalphabetic and Polyalphabetic Ciphers, Transposition, Substitution, Linear Transformation), Computational Fundamentals of Cryptosystems (Computational Complexity and Intractability, Modular Arithmetic and Elementary Number Theory), Modern Symmetric Key Cryptography (Feistel Ciphers, DES, Triple-DES and AES),Public Key Cryptography (The Diffie-Hellman Key Exchange Algorithm, Public Key Infrastructures, X.509 Certificates, PK Systems such as RSA and Elliptic Curves), Multilevel Security (the Bell-LaPadula Security Policy Model, the Biba Model, the NRL Pump), Multilateral Security (Compartmentation and the Lattice Model, the Chinese Wall, the BMA Model), Protecting e-Commerce Systems.

Distributed Systems Architecture, which presents a comprehensive evaluation of the design philosophies, fundamental constructs, performance issues and operational principles of distributed systems architectures, covering applications, algorithms and software architecture, engineering issues and implementation technology. Topics to be covered in this module include System Architecture (Bus Systems, High Performance I/O, Memory Hierarchies, Memory Coherence and File Coherence), Distributed Database, Processor Architecture, File Services, Inter-Process Communication, Naming Services, Resource Allocation and Scheduling, Distributed System Case Studies.

Grid Middleware Technologies, which introduces the principle, concepts and practice of Grid middleware technologies, and provides a practical knowledge on developing Grid applications. Topics to be covered in this module include Parallel Computing Paradigms, Parallel Programming with MPI/PVM, Cluster Computing Principles (Condor, Sun Grid Engine), Grid Computing Middleware Components (Job Submission, Resource Management and Job Scheduling, Information Service, Grid Portal, Grid Security Infrastructure), Grid Standards (OGSA/WSRF), Grid Middleware Case Study with Globus.

Grid System Analysis and Design, which aims to analyse representative production Grid systems and gain knowledge on how to design and optimise large-scale Grid systems. Topics to be covered in this module include System Analysis Methodologies with UML, Model Construction (Process Modelling, Static Class Modelling, Dynamic Modelling, Interface Modelling), Management of Large-Scale Grid System (Portal, Concurrent Version System (CVS)/Wiki), Grid System Analysis Case Study (GridPP, LCG/EGEE), Grid System Design (Performance Consideration, Open Standards, Design Patterns, Usability Analysis), Grid System Programming Models, Testing (Unit Testing, Integration Testing, Regression Testing), Debugging, Risk Analysis, System Maintenance.

Project Management, which introduces a range of formal methods and skills necessary to equip the student to function effectively at the higher levels of project management. Covers the need for the development of project management skills in achieving practical business objectives.

Workshop involves practical work, which is an important component of the course and gives students experience with relevant techniques and tools. Assignments are of practical nature and involve laboratory work with relevant equipment, hardware and software systems, conducted in a hands-on workshop environment. Typical assignments are:
TCP/IP Network Layered Protocol Analysis
Object-Oriented Programming, Java Socket Programming
Network Security and Encryption
Java RMI Programming for Distributed Systems
Grid Programming with Globus Toolkit 4 (GT4)
Grid System Analysis/Simulation

Dissertation, which is a stimulating and challenging part of the MSc programme. It provides the opportunity to apply the knowledge learnt in the taught part of the programme and to specialise in one aspect, developing students’ deep understanding and expertise in Distributed Systems related area of their choice. Students may carry out their projects wholly within the University, but industrial based projects are encouraged.

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This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems. Read more
This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems.

Who is it for?

This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems and aiming at a high-quality career in the industry, e.g. software houses, consultancies, and major software users across different sectors.

Students will have a keen interest in designing complex software systems, coding them in a programming language using the latest technologies (SOA, cloud, etc.), and ensuring that they are of high quality and that they actually meet the needs of their stakeholders.

Objectives

You will develop skills in analysing requirements and designing appropriate software solutions; designing and creating complex software systems to solve real-world problems, evaluating and using advanced software engineering environments, design methods and programming languages, and evaluating and responding to recent trends in interoperability and software development.

The course focuses on advanced engineering concepts and methods, as well as design issues for the systematic development of high-quality complex software systems. These are explored using industrial strength technologies, like the C++ and Java programming languages and the UML modelling language.

The course covers significant trends in systems development, including service-oriented architecture, cloud computing, and big data. The course is delivered by acknowledged experts and draws on City's world-class research in Systems and Software Engineering, which has one of the largest groups of academics working in this area in London, covering almost all aspects - from requirements, to designing reliable systems for the nuclear industry.

Placements

Postgraduate students on a Computing and Information Systems course are offered the opportunity to complete up to six months of professional experience as part of their degree.

Our longstanding internship scheme gives students the chance to apply the knowledge and skills gained from their taught modules within a real business environment. An internship also provides students with professional development opportunities that enhance their technical skills and business knowledge.

Internships delivered by City, University of London offer an exceptional opportunity to help students stand out in the competitive IT industry job market. The structure of the course extends the period for dissertation submission to January, allowing students to work full-time for up to six months. Students will be supported by our outstanding Professional Liaison Unit (PLU) should they wish to consider undertaking this route.

Teaching and learning

Software Engineering MSc is available full-time (12 months) as well as part-time (up to 28 months).

Students successfully completing eight taught modules and the dissertation for their individual project will be awarded 180 credits and a Master's level qualification. Alternatively, students who do not complete the dissertation but have successfully completed eight taught modules will be awarded 120 credits and a postgraduate diploma. Successful completion of four taught modules (60 credits) will lead to the award of a postgraduate certificate.

Assessment

Each module is assessed through a combination of coursework and examination.

Modules

You will develop skills in analysing requirements and designing appropriate software solutions; designing and creating complex software systems to solve real-world problems, evaluating and using advanced software engineering environments, design methods and programming languages and evaluating and responding to recent trends in interoperability and software development.

The focus of the course is on advanced engineering concepts and methods, as well as design issues for the systematic development of high-quality complex software systems. These are explored using industrial strength technologies, such as the C++ and Java object-oriented programming languages and the UML modelling language.

The course covers significant trends in systems development, including service-oriented architecture, mobile and pervasive computing, cloud computing, big data, and XML-enabled interoperable services. The course is delivered by acknowledged experts and draws on City's world-class research in Systems and Software Engineering. City has one of the largest groups of academics working in the area in London, working on almost all aspects of the area - from requirements, to designing reliable systems for the nuclear industry.

Core modules - there are five core modules:
-Advanced Database Technologies (15 credits)
-Research Methods and Professional Issues (15 credits)
-Service Oriented Architectures (15 credits)
-Software Systems Design (15 credits)
-Advanced Programming: Concurrency (15 credits)

Elective modules - you will be required to take three elective modules, choosing from the following:
-Advanced Algorithms and Data Structures (15 credits)
-Big Data (15 credits)
-Programming in C++ (15 credits)
-Business Engineering with ERP Solutions (15 credits)
-Mobile and Pervasive Computing (15 credits)
-Data Visualization (15 credits)
-Cloud Computing (15 credits)

Career prospects

The MSc in Software Engineering aims to meet the significant demand for graduates with a good knowledge of computing. This demand arises from consultancies, software houses, major software users such as banks, large manufacturers, retailers, and the public services, defence, aerospace and telecommunications companies.

Typical entrants to the course have a degree in an engineering or scientific discipline, and wish to either move into the software engineering field or to the development of software for their current field. Entrants must have previous exposure to computing, especially to programming (particularly in Java or C#) and relational databases (from either academic or professional experience).

From this base, the course provides solid technical coverage of advanced software development, including such widely used languages as C++, Java, UML and XML for which demand is particularly high. The course is therefore quite demanding; its success in providing advanced academic education along these lines is evident from the fact that recent graduates of the course are currently employed in a wide spectrum of organisations.

Of course, the employment value of a master's degree is not just short term. Although on-the-job training and experience as well as technology specific skills are valuable, they can be rather narrow and difficult to validate, and to transfer. The structure of this course ensures that there is a strong balance between the development of particular skills and a solid education in the enduring principles and concepts that underlie complex software system development.

SAP Certification - in parallel to your degree you will be able to register for a SAP TERP10 Certification course at a substantial discount, thus obtaining an additional, much sought-after qualification

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This course takes an immersive approach to learning both the principles and practices of computer systems with much of the material based around examples and practical exercises. Read more
This course takes an immersive approach to learning both the principles and practices of computer systems with much of the material based around examples and practical exercises. Students completing this course will have a firm grasp of the current practices and directions in computer systems and will be able to design and build for example, distributed systems for the Web using Internet, Intranet and other technologies.

Programme Objectives
To provide the foundations for understanding of core ideas, methods and technologies in computer science.
To provide the technical skills and background material so that the postgraduate will be able to conduct a near state-of-the-art research or development project;
To provide the graduate with a range of specialist and transferable skills;
To provide the educational base for further professional development and lifelong learning.
Course Topics
Data networks and communications, project foundations and management tools, broadband communication systems, technologies for Internet systems, agent technologies and Artificial Intelligence, introduction to distributed systems and mobile systems, project and dissertation.

Taught Modules:

Java programming: This module provides students with an in-depth understanding of current and emerging Java programming concepts and programming variations. The module teaches the basic and advanced structures of Java and makes use of the object-oriented approach to software implementation. It also gives an in-depth understanding of advanced Java concepts in the area of user interfaces and will enable students to apply the theoretical knowledge of the Java language onto a test-case software development scenario.

Introduction to distributed systems: This module will introduce key ideas in distributed Systems and its role and application in operating systems and middleware. On completion of this module students will have an understanding of the key issues for distributed systems at OS level or as middleware, they will understand core concepts of concurrency, be able to program multithreaded and distributed applications and understand the issues and use of algorithms for transactional systems.

Data networks and communications: This module will provide an in-depth understanding of how real communication networks are structured and the protocols that make them work. It will give the students an ability to understand in detail the process required to provide an end-to-end connection.

Technologies for Internet Systems: In this module, students will be introduced to state of the art technologies and tools for Internet Systems and in particular e-commerce systems.

Agent Technologies: This module provides an in-depth understanding of technologies from Artificial Intelligence research such as machine learning, data mining, information retrieval, natural language processing, and evolutionary programming. It will look at the application of agent-oriented technologies for Artificial Life, for building Web search engines, for use in computer games and in film (such as the MASSIVE software developed for the Lord of the Rings movies), and for robotics. It will also provide an introduction to agent-oriented programming using the NetLogo programming language.

Foundations of computer graphics: This module will teach techniques, algorithms and representations for modelling computer graphics and enable students to code 2D and 3D objects and animations.

Database systems: Students completing this module will gain an in depth understanding of DBMS/Distributed DBMS architecture, functionality, recovery and data storage techniques. Students will also have a full understanding of how queries are processed and the importance of database maintenance. This module is designed to enable students to perform research into one or two areas of databases; for example, object oriented databases and deductive databases.

Project foundations and management tools: This module prepares students for their MSc research project, including reference search and survey preparation and familiarisation with project management tools.

MSc Research project: After the successful completion of the taught component of the MSc programme, students will spend the remainder of the time undertaking a research project and producing an MSc Dissertation. During this process, students will conduct project work at state-of-the-art research level and to present this work as a written dissertation. Completing a project and dissertation at this level will train students in: problem solving; researching new topics; organizing knowledge; exercising elementary time and project management skills; reporting and writing skills.

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This flexible course offers a largely free choice of modules from our range of Advanced Master's programmes. It is likely to appeal to computing graduates whose interests span more than one specialism and/or those seeking the freedom to explore a variety of advanced topics. Read more
This flexible course offers a largely free choice of modules from our range of Advanced Master's programmes.

It is likely to appeal to computing graduates whose interests span more than one specialism and/or those seeking the freedom to explore a variety of advanced topics. Depending on the options chosen, this course can serve as a springboard for employment or research.

This programme is available with an optional industrial placement. The course duration varies depending on the options taken.

Visit the website https://www.kent.ac.uk/courses/postgraduate/246/advanced-computer-science

About the School of Computing

Our world-leading researchers, in key areas such as systems security, programming languages, communications, computational intelligence and memory management, and in interdisciplinary work with biosciences and psychology, earned us an outstanding result in the most recent national research assessment.

In addition, two of our staff have been honoured as Distinguished Scientists by the ACM and we have also held Royal Society Industry Fellowships.

As an internationally recognised Centre of Excellence for programming education, the School of Computing is a leader in computer science teaching. Two of our staff have received the ACM SIGCSE Award for Outstanding Contribution to Computer Science Education. We are also home to two National Teaching Fellows, to authors of widely used textbooks and to award-winning teaching systems such as BlueJ.

Modules

The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.

CO880 - Project and Dissertation (60 credits)
CO885 - Project Research (15 credits)
CO881 - Object-Oriented Programming (15 credits)
CO871 - Advanced Java for Programmers (15 credits)
CO874 - Networks and Network Security (15 credits)
CO876 - Computer Security (15 credits)
CO846 - Cloud Computing (15 credits)
CO882 - Advanced Object-Oriented Programming (15 credits)
CO836 - Cognitive Neural Networks (15 credits)
CO837 - Natural Computation (15 credits)
CO889 - C++ Programming (15 credits)
CO894 - Development Frameworks (15 credits)
CO899 - System Security (15 credits)
CO890 - Concurrency and Parallelism (15 credits)
CO892 - Advanced Network Security (15 credits)
CO838 - Internet of Things and Mobile Devices (15 credits)
CO841 - Computing Law, Contracts and Professional Responsibility (15 credits)
CO528 - Introduction to Intelligent Systems (15 credits)
CO545 - Functional and Concurrent Programming (15 credits)
CO641 - Computer Graphics and Animation (15 credits)
CO645 - IT Consultancy Practice 2 (15 credits)
CO832 - Data Mining and Knowledge Discovery (15 credits)
CO834 - Trust, Security and Privacy Management (15 credits)
CO884 - Logic and Logic Programming (15 credits)
CO847 - Green Computing (15 credits)

Assessment

Assessment is through a mixture of written examinations and coursework, the relative weights of which vary according to the nature of the module. The final project is assessed by a dissertation.

Programme aims

This programme aims to:

- enhance the career prospects of graduates seeking employment in the computing/IT sector

- prepare you for research and/or professional practice at the forefront of the discipline

- develop an integrated and critically aware understanding of one or more areas of computing/IT and their applications (according to your degree title)

- develop a variety of advanced intellectual and transferable skills

- equip you with the lifelong learning skills necessary to keep abreast of future developments in the field.

Careers

Students can gain practical work experience as part of their degree through our industrial placements scheme and KITC (see above). Both of these opportunities consolidate academic skills with real world experience, giving our graduates a significant advantage in the jobs market. Our graduates go on to work for leading companies including Cisco, GlaxoSmithKline, IBM, Intel, Lilly, Microsoft, Morgan Stanley, Thomson Reuters and T-Mobile. Many have gone on to develop their careers as project leaders and managers.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

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The Department of Computer Science at Aberystwyth has a strong research focus on techniques and applications of intelligent systems, working with many major companies. Read more
The Department of Computer Science at Aberystwyth has a strong research focus on techniques and applications of intelligent systems, working with many major companies. Our taught Masters degrees draw on this focus, and link to the expertise and interests of the Department. They are designed to meet the needs of both students wanting a foundation for a career in research, and those wanting to expand on their skills to accelerate their industrial career.

Contemporary software is frequently developed to function in distributed systems. Applications are deployed across multiple computers, interacting to provide services and to solve problems in a distributed way. This Masters course is suitable for students intending to pursue a career in the software industry, and is a qualifying Masters Degree for Chartered Engineer status. It can also lead to a career in research.

See the website http://courses.aber.ac.uk/postgraduate/computer-science-software-engineering-masters/

Course detail

This degree is ideal for anyone with a first degree in any Computing subject who wishes to accelerate their career as a software engineer. It broadens your experience of the tools, methods and techniques used by professional software engineers, and focuses on the application of advanced software engineering, preparing you for responsible positions in the software industry.

The degree is accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the further learning academic requirement for registration as a Chartered IT Professional (CITP). This course also partially meets the Engineering Council's academic requirement for registration as a Chartered Engineer (CEng).

The most recent Research Excellence Framework (2014) assessment found that 100% of the impact research the department of Computer Science undertakes is world leading.

Format

This course is available as a one year intensive course, or as a two year course, where the student spends a year gaining valuable experience in the software industry after the taught part of the degree, and can apply that experience to their final dissertation project.

Modules

- Internet Technologies CHM5720
- Enterprise Systems Development CHM5820
- The Object Oriented Programming Paradigm CSM2120
- Fundamentals Of Intelligent Systems CSM6120
- Research Skills And Personal Development For Scientists PGM1500
- Advanced Software Engineering CHM1320
- Mobile Solutions CSM2220
- Machine Learning For Intelligent Systems CSM6420
- Research Skills And Personal Development For Scientists PGM1520
- Msc Project CHM9360

Assessment

The taught part of the course is delivered and assessed through lectures, student seminars, practical exercises, case studies, course work and formal examinations. The subsequent successful submission of your research dissertation leads to the award of an MSc.

Find out how to apply here https://www.aber.ac.uk/en/postgrad/howtoapply/

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The MSc in Internet Systems and e-Business is a taught programme aimed at all graduates who want to train in modern computing. It provides an opportunity to acquire the skills required to pursue a career in Internet-based information systems. Read more
The MSc in Internet Systems and e-Business is a taught programme aimed at all graduates who want to train in modern computing. It provides an opportunity to acquire the skills required to pursue a career in Internet-based information systems. The programme is also suitable for those who have been in industry or other employment, possibly involving increasing recent work with IT, and now want to improve their career by means of formal training and a recognised qualification. The programme starts with an introduction to programming and then covers key details of software engineering and Internet technology.

Course Structure

Seven taught modules and then a dissertation module of approximately two months over the summer.

Core Modules

-Object-Oriented Programming in Java and UML
-Software Engineering for the Internet
-Distributed Computing
-Enterprise and Distributed Systems
-Research Methods and Professional Issues
-Web Technology
-Digital Imaging
-Dissertation

Learning and Teaching

The MSc in Internet Systems and e-Business is a full-time taught programme aimed at all graduates who want to train in modern computing. It provides an opportunity to acquire the skills required to pursue a career in Internet-based information systems. The programme is also suitable for those who have been in industry or other employment, possibly involving increasing recent work with IT, and now want to improve their career by means of formal training and a recognised qualification. Students are registered for 12 months from the course start date at the beginning of October each academic year. The programme starts with an introduction to programming and then covers key details of software engineering and Internet technology.

The programme consists of seven lecture/tutorial based core modules plus a research project. The two modules in Object Oriented Programming, and Web Technology, each feature 18 hours of lectures plus 8 hours of tutorial contact time.

The three modules in Digital Imaging, Distributed Computing and Research Methods and Professional Issues each feature 12 hours of lectures plus 8 hours of tutorial contact time. The lecture module on Software Engineering for the Internet has 20 hours of tutorials. The lecture module on Enterprise and Distributed Systems use a variety of teaching methods. It might typically feature 24 hours of lectures, 8 hours of tutorials and a total of 91 hours of laboratory/practical classes. The total contact hours for all 7 of these modules is therefore 96 hours of lectures, 68 hours of tutorials and 91 hours of laboratory/practical classes.

A major individual research project is also undertaken during the course under the guidance of an appropriate staff supervisor. This provides an open-ended challenge to each individual student. Regular meetings are held with the supervisor to discuss project progress and planning issues. At the end of the project students are required to submit a dissertation documenting their project work. Students should expect to have around 5 hours of contact time with their supervisors over the course of their research projects.

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Course formats. All of our taught MSc courses are available in several formats. - 12-month intensive MSc for graduates with a good Honours degree. Read more
Course formats

All of our taught MSc courses are available in several formats:

- 12-month intensive MSc for graduates with a good Honours degree
- 2-year International Masters for overseas students with an ordinary Bachelors degree
- With an optional industrial placement (8-50 weeks of paid work experience)
- Part-time over 3 years

Course overview

This conversion course prepares graduates from any discipline for a career in, or involving, computing. No prior knowledge of computer science is required. A broad introduction is provided, including the key technologies and skills needed for employment. You can explore your personal interests through a variety of optional modules. Advanced intellectual, teamwork, communication and other transferable skills are developed.

Hundreds of past graduates from this course are now working across the globe for companies such as IBM, Cisco, Logica/CMG, Pfizer, Reuters, Shell and Zurich Financial. Some chose technical careers in leading software houses, advanced technology companies or commercial sectors. Others work at the interface between technicians and clients, as systems analysts or consultants. Many now hold senior positions as project leaders or managers. You might like to follow in their footsteps.

Funding is available for well-qualified students of any nationality.

Further details: http://www.cs.kent.ac.uk/teaching/pg/

Course content (Honours degree entry; see above web page for details of Ordinary degree entry)

If you have not studied programming before, or only a little (introductory stream)

- Introduction to Object-Oriented Programming (Java)
- Advanced Object-Oriented Programming (Java)

If you have a good working knowledge of programming (advanced stream)

- Advanced Java for Programmers

Other core modules for all students:

- Software Engineering
- Web-based Information System Development
- Systems Architecture
- Logic and Logic Programming
- Project Research
- Project and Dissertation

Optional modules available to all students (choose 1):

- Advanced English for Academic Study
- Computer Graphics and Animation
- Contracts, Professional Responsibility and Computing Law
- Data Mining and Knowledge Discovery
- Introduction to Intelligent Systems
- Mobile and Ubiquitous Computing

Additional options for advanced stream only (choose 1 more):

- C++ Programming
- Cognitive Neural Networks
- Human-Computer Interaction
- IT Consultancy Methods
- IT Consultancy Practice (includes work experience)
- Networks and Network Security

Optional industrial placement (8-50 weeks of paid work experience).

The options available may vary from year to year and are subject to timetabling and prerequisite constraints.
Advanced English for Academic Study may be compulsory for non-native speakers who need additional support.

Further details: http://www.cs.kent.ac.uk/teaching/pg/

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Computer security remains a hot topic in the media and there is strong demand for graduates with technical skills in this area. The programme addresses computer and information security holistically because vulnerability in any one component can compromise an entire system. Read more
Computer security remains a hot topic in the media and there is strong demand for graduates with technical skills in this area. The programme addresses computer and information security holistically because vulnerability in any one component can compromise an entire system.

This includes computer architectures, operating systems, network technologies, data storage and software development processes. A wide range of threats and other security issues (for example, denial-of-service attacks, hacking, viruses and worms) are covered along with defences and countermeasures.

The programme is aimed at computing graduates who are seeking careers as computer security professionals or who are interested in research. All taught Master’s programmes at Canterbury are available with an optional industrial placement.

Visit the website https://www.kent.ac.uk/courses/postgraduate/254/computer-security

About the School of Computing

Our world-leading researchers, in key areas such as systems security, programming languages, communications, computational intelligence and memory management, and in interdisciplinary work with biosciences and psychology, earned us an outstanding result in the most recent national research assessment.

In addition, two of our staff have been honoured as Distinguished Scientists by the ACM and we have also held Royal Society Industrial Fellowships.

As an internationally recognised Centre of Excellence for programming education, the School of Computing is a leader in computer science teaching. Two of our staff have received the ACM SIGCSE Award for Outstanding Contribution to Computer Science Education. We are also home to two National Teaching Fellows, to authors of widely used textbooks and to award-winning teaching systems such as BlueJ.

Modules

The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.

CO834 - Trust, Security and Privacy Management (15 credits)
CO874 - Networks and Network Security (15 credits)
CO876 - Computer Security (15 credits)
CO880 - Project and Dissertation (60 credits)
CO885 - Project Research (15 credits)
CO899 - System Security (15 credits)
CO894 - Development Frameworks (15 credits)
CO889 - C++ Programming (15 credits)
CO846 - Cloud Computing (15 credits)
CO882 - Advanced Object-Oriented Programming (15 credits)
CO883 - Systems Architecture (15 credits)
CO836 - Cognitive Neural Networks (15 credits)
CO837 - Natural Computation (15 credits)
CO838 - Internet of Things and Mobile Devices (15 credits)
CO841 - Computing Law, Contracts and Professional Responsibility (15 credits)
CO528 - Introduction to Intelligent Systems (15 credits)
CO545 - Functional and Concurrent Programming (15 credits)
CO645 - IT Consultancy Practice 2 (15 credits)
CO832 - Data Mining and Knowledge Discovery (15 credits)
CO847 - Green Computing (15 credits)
CO890 - Concurrency and Parallelism (15 credits)
CO892 - Advanced Network Security (15 credits)
EL846 - Industrial Context of Biometrics (15 credits)
CO871 - Advanced Java for Programmers (15 credits)
CO881 - Object-Oriented Programming (15 credits)

Assessment

Assessment is through a mixture of written examinations and coursework, the relative weights of which vary according to the nature of the module. The final project is assessed by a dissertation.

Programme aims

This programme aims to:

- enhance the career prospects of graduates seeking employment in the computing/IT sector

- prepare you for research and/or professional practice at the forefront of the discipline

- develop an integrated and critically aware understanding of one or more areas of computing/IT and their applications (according to your degree title)

- develop a variety of advanced intellectual and transferable skills

- equip you with the lifelong learning skills necessary to keep abreast of future developments in the field.

Careers

Students can gain practical work experience as part of their degree through our industrial placements scheme and KITC (see above). Both of these opportunities consolidate academic skills with real world experience, giving our graduates a significant advantage in the jobs market. Our graduates go on to work for leading companies including Cisco, GlaxoSmithKline, IBM, Intel, Lilly, Microsoft, Morgan Stanley, Thomson Reuters and T-Mobile. Many have gone on to develop their careers as project leaders and managers.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

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The primary aim of this course is to educate you to MSc level in the theoretical and practical aspects of mathematical problem solving, mathematical model development, creating software solutions and communication of results. Read more
The primary aim of this course is to educate you to MSc level in the theoretical and practical aspects of mathematical problem solving, mathematical model development, creating software solutions and communication of results.

This course provides training in the use and development of reliable numerical methods and corresponding software. It aims to train graduates with a mathematical background to develop and apply their skills to the solution of real problems. It covers the underlying mathematical ideas and techniques and the use and design of mathematical software. Several application areas are examined in detail. It develops skills in mathematical problem-solving, scientific computing, and technical communication.

Training is also provided in general computing skills, mathematical typsetting, mathematical writing, desktop and web-based mathematical software development, and the use of computer languages and packages including Mathematica, parallel computing, C#, 3D graphics and animation, and visualisation.

The MSC is now available fully online and can be taken over 12 months full time or 24 months part time.

Visit the website: http://www.ucc.ie/en/ckr36/

Course Details

By the end of the course, you will be able to:

- use the description of a real world problem to develop a reasonable mathematical model in consultation with the scientific literature and possibly experts in the area
- carry out appropriate mathematical analysis
- select or develop an appropriate numerical method and write a computer programme which gives access to a sensible solution to the problem
- present and interpret these results for a potential client or a non-technical audience

Modules

Module descriptions - http://www.ucc.ie/calendar/postgraduate/Masters/science/page05.html#mathematical

AM6001 Introduction to Mathematica (5 credits)
AM6002 Numerical Analysis with Mathematica (5 credits)
AM6003 Cellular Automata (5 credits)
AM6004 Applied Nonlinear Analysis (Computational Aspects) (5 credits)
AM6005 Modelling of Systems with Strong Nonlinearities (5 credits)
AM6006 Mathematical Modelling of Biological Systems with Differential Equations (5 credits)
AM6007 Object Oriented Programming with Numerical Examples (10 credits)
AM6008 Developing Windowed Applications and Web-based Development for Scientific Applications (5 credits)
AM6009 3D Computer Graphics and Animation for Scientific Visualisation (5 credits)
AM6010 Topics in Applied Mathematical Modelling (5 credits)
AM6011 Advanced Mathematical Models and Parallel Computing with Mathematica (5 credits)
AM6012 Minor Dissertation (30 credits)

Format

The course places great emphasis on hands-on practical skills. There is a computer laboratory allocated solely for the use of MSc students. PCs are preloaded with all the required software and tools. Online students are expected to have a suitable PC or laptop available; all required software is provided for installation to faciliate course work. Online teaching hours, involving lecturers, tutorials and practical demonstrations, usually take place in the morninbg. The rest of the time, you are expected to do exercises, assignments and generally put in the time required to acquire key skills.

Assessment

Continuous assessment is the primary method of examining. In each module, typically 40% of the marks are available for take-home assignments and the remaining 60% of marks are examined by a practical computer-based examination. Final projects are read and examined by at least two members of staff.

For more information, please see the Book of Modules 2015/2016 - http://www.ucc.ie/calendar/postgraduate/Masters/science/page05.html#mathematical

Careers

Quantitative graduates with software skills are in high demand in industry according to the Governments Expert Group on Future Skills Needs. Demand for these skills is project to rise over the coming years not just in Ireland but in the EU and globally. Graduates have recently secured jobs in the following areas: banking, financial trading, consultancy, online gambling firms, software development, logistics, data analysis and with companies such as AIB, McAfee, Fexco, DeCare Systems, MpStor, the Tyndall Institute, Matchbook.com, First Derivatives and KPMG.

How to apply: http://www.ucc.ie/en/study/postgrad/how/

Funding and Scholarships

Information regarding funding and available scholarships can be found here: https://www.ucc.ie/en/cblgradschool/current/fundingandfinance/fundingscholarships/

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This course provides you with the technical knowledge necessary to succeed in a software engineering role and to be able to make decisions regarding the implementation of software projects in a variety of situations. Read more
This course provides you with the technical knowledge necessary to succeed in a software engineering role and to be able to make decisions regarding the implementation of software projects in a variety of situations. You will be able to enhance your software engineering and programming skills to develop a systematic understanding of the principles of the architecture, analysis, design and development of software.

Through access to a lively research culture, you will also enhance your understanding of the fundamentals of programming, data structures and algorithms and their relationship with software engineering and object oriented programming.

Key benefits:

• School has a strong tradition in software engineering and programming
• Taught by highly rated research staff
• One year work placement opportunity

Suitable for

You will ideally be a graduate in either Computer Science or Software Engineering with a strong interest in developing your programming and systems engineering skills. Your interests will be in programming in a variety of languages, systems development, research and trusted operating systems.

Programme details

The course offers you the opportunity to study advanced aspects of the subject within a research-based environment.

Based on existing research groupings in Information Systems Security, Human Computer Interaction and Data Mining, the course provides dedicated modules that will show how each of these areas impacts on the practices of Software Engineering. This will provide you with an overview of the research themes within each area along with detailed knowledge of a selected subject. This enables coverage of methodological and management issues and to look at how these issues are applied in real-life projects. Alongside the research focus, the course also provides you with an opportunity to develop advanced programming skills.

Module titles

• Advanced Programming
• Agile Software Project Management
• Advanced Databases
• Software Architecture and Security
• Project for MSc

Assessment

The modules are assessed through a combination of assignments and examinations.

Career potential

As a graduate from this course you will be well equipped to work in a range of jobs such as system analyst, systems programmer, system administrator or computer analyst.

Our previous graduates of Computer Science have found employment with companies such as Microsoft, Hewlett-Packard, 3M, Zen Internet, Siemens, Fast Web Media and Amsterdam Internet Exchange.

How to apply: http://www.salford.ac.uk/study/postgraduate/applying

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The web revolution has generated a social interactive environment that creates new business opportunities for enterprises. Many international software development enterprises such as IBM, HP, Microsoft, Google and SAS have their own social computing/media development teams. Read more
The web revolution has generated a social interactive environment that creates new business opportunities for enterprises. Many international software development enterprises such as IBM, HP, Microsoft, Google and SAS have their own social computing/media development teams. Other IT enterprises, such as Apple, Oracle, CISCO and Nokia, own products with social computing functions. Similarly, many national and international companies successfully turn significant profits through social network sites such as Facebook, LinkedIn, Yahoo, Twitter, Google, Myspace, Amazon, Sina Weibo, TaoBao, RenRen and QQ.

This programme addresses market demand by providing you with training for understanding, managing, developing, implementing and commercialising interactive social media on the internet. It will train you for advanced technical or managerial roles in new interdisciplinary areas of social informatics and internet computing. You will gain:
• theoretical and practical knowledge of key areas of social business and social computing in today’s industry and research
• key tools enabling you to enhance and apply your skills in management, design and implementation of IT-based solutions to social business and computation domains
• practical skills in research, analysis, realisation and evaluation of the technical or research documents in social commerce and social computing

You will complete eight in the first two semesters and a dissertation project in the third semester for a total duration of 18 months. The precise content of your dissertation project will be discussed and decided with your project supervisor and is subject to approval. The department is equipped with specialist lab facilities for operating systems, networking, mobile computing and multimedia technology that will support your learning and research.

Modules

Core Modules
• Cloud Computing
• Project Management
• Research Methods
• Social Media Marketing
• Social Network Analysis
• Social Web Programming
• Dissertation

Elective Modules
• Computer Systems Security
• Data Mining and Big Data Analytics
• Interactive Systems
• Object Oriented Programming
• Social Commerce

What are my career prospects?

Graduates from this programme will find employment research and development engineers, systems developers and project leaders in an IT companies. Some students choose to go on to further studies as a PhD candidate at XJTLU or a renowned overseas university.

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This programme is designed to develop your understanding of the research process. It is for graduates from a computer-related discipline who wish to investigate research as a possible career, or who wish to extend their knowledge of one particular facet of computing. Read more
This programme is designed to develop your understanding of the research process. It is for graduates from a computer-related discipline who wish to investigate research as a possible career, or who wish to extend their knowledge of one particular facet of computing. This programme provides you with an MSc that allows you to focus on your desired specialism, whilst our international staff provide all necessary support.

This programme will equip you with comprehensive knowledge and understanding of:
• advanced theoretical fundamentals of current trends in computer science
• state-of-the-art key research issues in specialised areas of computer science
• techniques for project management and the design, implementation and evaluation of IT solutions

Students on this programme will undertake four taught modules corresponding to a third of the degree, typically in the first semester followed by a research project in the next two semesters for a total duration of 18 months. The precise content of the research project will be discussed and decided with the project supervisor and subject to approval, in the same way as for applications for PhD studies. Students will be qualified for positions that require an advanced understanding of computing in the chosen area, particularly where independence of thought and analytical skills are required. The department is equipped with specialist lab facilities for operating systems, networking, mobile computing and multimedia technology that will support the learning, teaching and research. The department is committed in providing world-class education and training. All the academic staff have extensive international experience in teaching, research and collaboration with industry. They are actively engaged in research of world quality with a large number of research publications every year, and have a successful record of attracting funding from various sources. By training at XJTLU, students will receive a unique education experience and benefit from the teaching and supervision of research by our staff, the well- designed programme and research projects, and transferable skills they will gain.

Modules

Core Modules
• Research Methods
• Project Management
• Dissertation Project

Elective modules
• Cloud Computing
• Data Mining and Big Data Analytics
• Interactive Systems
• Object Oriented Programming

What are my career prospects?

Graduates from this programme will find employment research and development engineers, systems developers and project leaders in IT companies, or will go on to further studies as a PhD candidate at XJTLU or a renowned overseas university.

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Year 1 Core (180 Credits). You must take the following modules. Semester 1. CHM5720 Internet Technologies. CSM2120 The Object Oriented Programming Paradigm. Read more
Year 1 Core (180 Credits)

You must take the following modules

Semester 1

CHM5720 Internet Technologies

CSM2120 The Object Oriented Programming Paradigm

CSM6120 Fundamentals of Intelligent Systems

Semester 2

CHM1320 Advanced Software Engineering

CSM2220 Mobile Solutions

CSM6420 Machine Learning for Intelligent Systems

Semester 3

CHM9360 MSC Project

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Develop the industry-relevant skills and expertise to become an agile, adaptable computing specialist on our course programmes. This industry-facing course gives students whose first degree isn't in computing (or whose computing degree was awarded some time ago), the skills needed to become a practicing IT professional. Read more
Develop the industry-relevant skills and expertise to become an agile, adaptable computing specialist on our course programmes. This industry-facing course gives students whose first degree isn't in computing (or whose computing degree was awarded some time ago), the skills needed to become a practicing IT professional.

Featuring rigorous computer programming and database elements, the course is accompanied by a variety of compulsory modules providing the core knowledge to be an effective practitioner in the computing industry. These are combined with optional modules covering additional specialised subjects.

You will complete a project during the summer which will typically involve the design and implementation of a significant piece of software.

Key Course Features

-Provides an opportunity for postgraduate study for those whose first degree is not in computing.
-Provide specialist, technical skills in the areas of networking, or web and mobile development, or Professional Issues and Professional Practice.
-Produce practitioners with an advanced understanding of and competence with, the hardware and software available and/or needed for the development and use of computer systems.
-Enable students to access, critically appraise and disseminate research results.
-Lecture/tutorial and practical sessions are enhanced with additional, resource-rich, online materials allowing you to continue independent learning through a variety of approaches.
-Provides students with a sound basis for further research and/or professional development.

What Will You Study?

As with most masters programmes this has 2 parts, a taught part followed by a dissertation. Students study 6 modules of 20 credits each, followed by a 60 credit dissertation, making a total of 180 credits.

Four of the six taught modules are core and there are two optional themed modules. There are three themes to choose from:

Option A: Professional Issues and Professional Practice Theme
Option B: Networking Theme
Option C: Web and Mobile Application Design and Development Theme

CORE MODULES:
-Postgraduate Study & Research Methods
-Future & Emerging Technology
-Software Development: Object Oriented Programming
-Database Systems
-Dissertation

OPTIONAL MODULES:
Option A: Professional Issues and Professional Practice Theme
-IT Project Management
-Professional Challenges in Computing

Option B: Networking Theme
-Networking Hardware and Software
-Networking Techniques & Technologies

Option C: Web and Mobile Application Design and Development Theme
-Commercial Website Design & Development
-Internet and Mobile Application Development

The information listed in this section is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal academic framework review, so may be subject to change.

Career Prospects

Successful completion of the course enables you to put greater focus on your future career in the field of Computing or the educational paths. You will have the knowledge and competence necessary to continue to develop professionally in the workplace. You might take the opportunity to progress to higher-level academic investigation.

It is expected that you will be able to gain employment at higher technical and managerial levels, develop particular specialist technical and consultative skills, and be capable of embarking upon Doctoral level study.

The Careers & Zone at Wrexham Glyndŵr University is there to help you make decisions and plan the next steps towards a bright future. From finding work or further study to working out your interests, skills and aspirations, they can provide you with the expert information, advice and guidance you need.

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This part-time course is designed for teachers of GCSE or A-level computing/computer science. Read more
This part-time course is designed for teachers of GCSE or A-level computing/computer science. You will gain a firm foundation in the principles of object-oriented programming (software development), design and testing, understanding the role of database systems in information management as well as the theoretical and practical issues that influence the design and implementation of database management, systems and languages, and emerging computing technologies.

This practical course will develop your methods in a number of areas, whilst key skills and techniques of computational thinking and problem-solving are emphasised throughout. You'll also investigate novel application areas and environments where computing can be potentially beneficial.

This programme is run on the Wrexham campus on an intensive block basis, during half-terms and holidays, for 15 days in total.

Key Course Features

-Develop essential computational problem solving skills.
-Design and develop Java programmes.
-You will be able to administer commercially operated database environments to the requirements of education and industry.
-Future and emerging technologies is a fast moving subject and the course will continue to evolve to reflect new developments in this area.

What Will You Study?

You will study 3 core modules:
-Introduction to Programming (Software Development)
-Database Systems
-Emerging Computing Technologies

In the Introduction to Programming module you will study:
-Principles of software design.
-Problem solving techniques.
-Introduction to a programming language (Java or similar).
-Control Structures.
-Assignment and arithmetic.
-Subprograms and modularity.
-Object-oriented programming.
-Testing and documentation.
-Using software tools, writing, compiling, executing, testing and debugging complex programs.

In the Database Systems module you will gain the skills required to create maintain and interrogate a relational database management system. It is a practical course that involves tasks such as:
-Designing a relational database management system.
-Manipulation and data retrieval operations using SQL.
-Defining modifying and deleting tables and views.
-Evaluate the consequences of such actions.

The Emerging Computing Technologies module includes the topics:
-Research, and analysis of current emerging Computing technologies.
-Futurology in the field of computing.
-Technology in Education.
-Internet of Things.
-Robotics.
-Biometrics.
-Wireless and mobile communication.
-Semantic web.
-Legal, ethical and cultural issues in future and emerging computing applications.
-Critically analyse the legal, ethical and cultural implications for emerging and future technologies.

The information listed in this section is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal academic framework review, so may be subject to change.

Assessment and Teaching

Assessment methods include:
Introduction to Programming (Software Development)
-A portfolio of Software design and running programmes.
-A OOP game programme using Greenfoot.

Database Systems
-A Design for a commercial relational database.
-Implementation of the database with running queries.

Future and Emerging Technology
-Group Presentation on an agreed topic.
-Report on the future of the agreed topic.

Career Prospects

On successful completion of the course you will have gained a range of new skills suited to teaching the new GCSE and A Level Computer Sciences courses and as such as these skills will be essential to your career development.

The Careers & Zone at Wrexham Glyndŵr University is there to help you make decisions and plan the next steps towards a bright future. From finding work or further study to working out your interests, skills and aspirations, they can provide you with the expert information, advice and guidance you need.

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