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Masters Degrees (Visual Computing)

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Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Visual Computing at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Visual Computing at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

The MRes Visual Computing is an ideal preparation for following a career of research or specialism within the area of study. In particular the MRes in Visual Computing seeks to prepare you for further research in the areas of Computer Graphics, Computer Vision, Medical Imaging, and Scientific Visualisation.

We seek strongly motivated students who are able to carry out substantial individual study. Such students are likely to want to control their own time, carry out curiosity driven research to an advanced level, and follow self-study material in advanced topics.

You will decide upon your topic of research in discussion with your supervisor in an exciting and recent area of Visual Computing. In collaboration with your supervisor you will evaluate current research and carry your own research programme based on the contribution you will make. The research programme is supported by taught courses covering useful literature and skills.

Course Content

Research Component

The main part of the MRes in Visual Computing is a substantial and challenging project involving cutting edge research. The project is an exciting opportunity for you to carry out research in the area of Visual Computing. You will produce an abstract of your work, a scientific paper, carry out a presentation and produce your final dissertation.

Taught Component

In addition to the research project, you can choose from a range of modules that provide skills and development training in different areas.

Modules available currently include:

Computer Vision and Pattern Recognition (compulsory)
Data Visualisation (compulsory)
Graphics Processor Programming (compulsory)
Research Methodology (compulsory)
Visual Computing Project Development (compulsory)
Distributed Object-Oriented Programming
Interaction Technologies: Information Retrieval
High Performance Computing in C/C++
Interaction Technologies: Hardware and Devices

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Careers

All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

94% of our Postgraduate Taught Graduates of Computer Science were in professional level work or study [DLHE 14/15]

Research

The results of the Research Excellence Framework (REF) 2014 show that we lead Wales in the field of Computer Science and are in the UK Top 20.

We are ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).

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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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Take advantage of one of our 100 Master’s Scholarships to study Visual and Interactive Computing at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships to study Visual and Interactive Computing at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

Computer Science is at the cutting edge of modern technology, is developing rapidly and Swansea Computer Science graduates enjoy excellent employment prospects.

Computer Science now plays a part in almost every aspect of our lives - science, engineering, the media, entertainment, travel, commerce and industry, public services and the home.

The MSc by Research Visual and Interactive Computing enables students to pursue a one year individual programme of research. The Visual and Interactive Computing programme would normally terminate after a year. However, under appropriate circumstances, this first year of research can also be used in a progression to Year 2 of a PhD degree.

As a student of the MSc by Research Visual and Interactive Computing programme, you will be fully integrated into one of our established research groups and participate in research activities such as seminars, workshops, laboratories, and field work.

Key Features of the Visual and Interactive Computing

The Department of Computer Science is amongst the top 25 in the UK, with a growing reputation in research both nationally and internationally. It is home to world class researchers, excellent teaching programmes and fine laboratory facilities.

All postgraduate Computer Science programmes including Visual and Interactive Computing, MSc by Research will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Research

The results of the Research Excellence Framework (REF) 2014 show that we lead Wales in the field of Computer Science and are in the UK Top 20.

We are ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).

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Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Advanced Computer Science at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Advanced Computer Science at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

On the MSc in Advanced Computer Science course you will be thoroughly prepared for a career in IT or related industries. The Advanced Computer Science course is for you if you are a Computer Science graduate or if you have gained experience of computing and programming in a different first degree. Willingness to work hard and an ability to problem solve are equally important for this MSc in Advanced Computer Science. The MSc in Advanced Computer Science course will develop the skills and knowledge you have gained from your first degree by broadening and deepening your knowledge of Computer Science through a variety of advanced modules and material. The MSc in Advanced Computer Science is accredited by the British Computer Society.

Key Features of Advanced Computer Science MSc

• We are top in the UK for career prospects*
• We are 3rd in the UK for teaching quality**
• 5th in the UK overall*
• 7th in the UK for student satisfaction with 98% [National Student Survey 2016]
• 7th in the UK overall and Top in Wales*
• High employability prospects - we are 8th in the UK for graduate prospects*
• 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]
• UK TOP 20 for Research Excellence [Research Excellence Framework 2014]
• Our Project Fair allows students to present their work to local industry
• Strong links with industry
• £31m Computational Foundry for computer and mathematical sciences will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)

*Guardian University Guide 2017
**Times & Sunday Times University Guide 2016

Modules of Advanced Computer Science MSc

Modules for the MSc in Advanced Computer Science include Computer Science Project Research Methods but please visit our course page for more information.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Careers

All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

94% of our Postgraduate Taught Graduates of Computer Science were in professional level work or study [DLHE 14/15]

Student Profile

Francesca Madeddu, originally from Italy, completed an outstanding Master’s thesis (which earned her a distinction) investigating interaction with augmented reality on mobile devices. More specifically, she investigated how to interact with virtual Egyptian artefacts placed in real scenes. The final game was deployed at Swansea's Egypt Centre last year and was evaluated by volunteers working at the museum. A Master’s thesis does not often lead to a publication. However, part of Francesca's research was written up as an extended abstract and presented at Computer Graphics and Visual Computing (CGVC), a Eurographics UK conference for visual computing last year. An exceptional achievement!

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This taught postgraduate course is aimed at students who may not have studied computing exclusively but who have studied a considerable amount of computing already. Read more
This taught postgraduate course is aimed at students who may not have studied computing exclusively but who have studied a considerable amount of computing already.

If you want to become a specialist in a particular area of computing, this course will provide a first crucial step towards that goal.

This specialism focuses on the study of vision, graphics, intelligent behaviour and biomedical image computing. We also offer specialisms in:

Artificial Intelligence
Computational Management Science
Machine Learning
Software Engineering
Secure Software Systems

Each specialism has a flexible mix of breadth and depth, consisting of two or three compulsory modules as well as choices from a selection of core and optional modules.

You choose nine modules, seven of which must be selected from a group of eleven modules appropriate for the specialism.

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Computer vision and imaging is the exciting science and technology of machines that see, concerned with building artificial systems that obtain information from images that are derived from a range of sources. Read more
Computer vision and imaging is the exciting science and technology of machines that see, concerned with building artificial systems that obtain information from images that are derived from a range of sources. This MSc in Computing with Vision and Imaging teaches you the skills necessary to undertake work in this ever-evolving field.

Why study at Dundee?

Computer vision and imaging is a rapidly expanding field with plenty of real-life applications and opportunities. Here at Dundee, we encourage a professional, inter-disciplinary and user-centred approach to computer systems design and production.

Application areas include:
controlling processes - e.g. an industrial robot or an autonomous vehicle
detecting events - e.g. for visual surveillance or people counting
organising information - e.g. for indexing databases of images and image sequences
modelling objects or environments - e.g. for industrial inspection
medical image analysis
topographical modelling

You will acquire skills in computer vision, inference, algorithmic underpinnings of computer vision systems, how images and signals are formed, filter, compressed and analysed, and how multiple images can be combined.

Throughout this course, you will also develop the necessary skills to undertake independent research and participate in proposal development and innovation - an excellent grounding for many future careers.

What's Great about studying at Dundee?

Research-led teaching:
Teaching at Dundee is research-led, meaning that the MSc programme benefits from association with cutting-edge research of international standard and its commercial applications.

We also have an active Computer Vision and Image Processing research group. Our Vision and Imaging students are involved in a number of http://www.computing.dundee.ac.uk/projects/vision/projects.php, and have been involved with a number of completed research projects like ACTIVE, a project concerning adaptive interfaces for the operation of secondary controls in motor vehicles using pointing gestures and virtual dashboards.

Links with industry

The School of Computing collaborates with, and has links to, companies such as IBM, NCR and Oracle.

Our facilities

You will have 24-hour access to our award winning and purpose-built Queen Mother Building. It has an unusual mixture of lab space and breakout areas, with a range of conventional and special equipment for you to use. It's also easy to work on your own laptop as there is wireless access throughout the building. Our close ties to industry allows us access to facilities such as Windows Azure and Teradata, and university and industry standard software such as Tableau for you to evaluate and use.

Postgraduate culture

The School of Computing maintains a friendly, intimate and supportive atmosphere, and we take pride in the fact that we know all of our students - you're far more than just a matriculation number to us. We have a thriving postgraduate department with regular seminars and guest speakers.

What you will study

You select seven taught modules, three per semester, during the period September-April. You will make module selections with your advisor.

Semester 1 (Sept-Dec):
Probabilistic Inference and Learning
Signals and Images

Plus two from:
Technology Innovation Management
Computer Graphics
Logical Inference & Symbolic Reasoning
Information Theory

Semester 2 (Jan-Mar):
Vision and Perception
Research Methods

Plus one from:
Computing Research Frontiers
Multi-agent Systems & Grid Computing

Subject to examination performance, you then progress to the MSc project which runs from May to September, or to a Diploma project lasting 9 weeks.

Please note that some of the modules in the programme are shared with other masters programmes and some of the teaching and resources may be shared with our BSc programme. These joint classes offer a valuable opportunity to learn from, and discuss the material with, other groups of students with different backgrounds and perspectives.

How you will be assessed

The taught modules are assessed by continuous assessment plus end of semester examinations in December and March/April. The project is assessed by dissertation.

Computing coursework is often very practical, e.g. writing computer programs, designing interfaces, writing reports, constructing web sites, testing software, implementing databases, analysing problems or presenting solutions to clients.

Careers

The knowledge, skills and understanding that you will gain in the areas of computer vision, inference and learning will enable you to work effectively in the application of video and image-based computing - whether you choose industry, commerce or research.

Computing at the University of Dundee is ranked 21st in the UK according to most recent Times Good University Guide and 12th in the UK according to the Guardian University League Table 2009. The University of Dundee has powered its way to a position as one of Scotland's leading universities with an international reputation for excellence across a range of activities. With over 18,000 students, it is growing fast in both size and reputation. It has performed extremely well in both teaching and research assessment exercises, has spawned a range of spin-out companies to exploit its research and has a model wider-access programme.

Dundee has been described as the largest village in Scotland which gives an indication of how friendly and compact it is. With a population of 150,000 it is not too large but has virtually all the cultural and leisure activities you would expect in a much larger city. It is situated beside a broad estuary of the river Tay, surrounded by hills and farmland, and for lovers of the great outdoors it is hard to imagine another UK location that offers so much all year round on land and water. The University is situated in the centre of Dundee, and everything needed is on the one-stop campus: study facilities, help, advice, leisure activities... yet the attractions of the city centre and the cultural quarter are just a stroll away.

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The academic staff in the Applied Computing Department (ACD) are all engaged in research and publications. Considering its modest size, ACD has successfully attracted research funding from various sources in the UK and the EU, including industry, research councils, HEA and EU framework projects such as FP6. Read more

Research programme

The academic staff in the Applied Computing Department (ACD) are all engaged in research and publications. Considering its modest size, ACD has successfully attracted research funding from various sources in the UK and the EU, including industry, research councils, HEA and EU framework projects such as FP6. Furthermore, ACD has been working and collaborating with many European research institutions.

For the academic year 2012-2013, 2 DPhil and 6 MSc students (1 in Mathematics) have graduated, four of whom graduated with Distinction. The 2 DPhil students have made it for the March graduation and we expect to have 3 or 4 more completing their DPhil research programmes for the next graduation. One of our new MPhil/DPhil students in Computing joined the Department last October, and 3 other MPhil/DPhil students have joined us since. Over the last few years, the number of research students in ACD has grown steadily to (currently) 29 PhD and 2 Master’s research students.

We have had over 20 refereed conference and journal papers published during the last 12 months, and two of the papers have been awarded best paper awards.

ACD supports diverse research topics addressing varied applied computing technologies such as:

- Image processing and pattern recognition with applications in biometric-based person identification, image super-resolution, digital watermarking and steganography, content-based image / video indexing and retrieval, biomedical image analysis.
- Multi-factor authentication and security algorithms.
- Wireless networks technologies (Multi-frequency Software-Defined / Cognitive Radios, convergence and integration of different wireless technologies and standards such as WiFi and WiMax, IPv4 and IPv6, wireless mesh technologies, intrusion detection and prevention, efficiency and stability of ad hoc networks).
- Hybrid navigation and localisation integrations for mobile handsets, including using Cellular and WiFi in conjunction with GPS and Glonass for seamless positioning indoors, Multiplexed receive chain of GPS/Glonass with on-board handset Bluetooth/WiFi, GNSS signals multiplexing for real time simulation.
- Cloud computing, including the readiness of mobile operating systems for cloud services and focusing on techniques for fast computing handovers, efficient virtualisation and optimised security algorithms.
- Data mining techniques, including database systems, the application of data mining techniques in image and biological data, human-computer interaction and visual languages.
- Research and development of Apps for mobile devices and smart TVs, particularly for application in the areas of education and healthcare.
- Differential geometry – Einstein metrics, quasi-Einstein metrics, Ricci solitons, numerical methods in differential geometry.

As well as researching the chosen subject, our students engage in delivering seminars weekly, attending conferences and workshops, attending online webinars and discussion forums, attending training and focused group studies, supervising tutorial and laboratory sessions for undergraduate students, peer reviews and final year project supervision, among a host of technical and networking activities to enhance their skills and techniques.

Find out more about our Department of Applied Computing on http://www.buckingham.ac.uk/appliedcomputing.
Apply here http://www.buckingham.ac.uk/sciences/msc/computingresearch.

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This taught postgraduate course is aimed at students who may not have studied computing exclusively but who have studied a considerable amount of computing already. Read more
This taught postgraduate course is aimed at students who may not have studied computing exclusively but who have studied a considerable amount of computing already.

If you want to become a specialist in a particular area of computing, this course will provide a first crucial step towards that goal.

This course specialises in the application of engineering to the design, development, and maintenance of software.

Study areas include computational finance; computer networks and distributed systems; computer vision; computing for optimal decisions; custom computing; databases; distributed algorithms; distributed systems; graphics; intelligent data and probabilistic inference; and an introduction to bioinformatics.

We also offer specialisms in:

Artificial Intelligence
Computational Management Science
Machine Learning
Software Engineering
Secure Software Systems
Visual Information Processing

Each specialism has a flexible mix of breadth and depth, consisting of two or three compulsory modules as well as choices from a selection of core and optional modules.

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The Higher Diploma in Applied Computing Technology is a CONVERSION COURSE open to graduates from non-computing disciplines. Read more
The Higher Diploma in Applied Computing Technology is a CONVERSION COURSE open to graduates from non-computing disciplines. The course provides you with an understanding of the principles of internet-based computer systems and will equip you with a range of core IT skills, including web design, web server configuration, managing and manipulating multimedia content, interfacing with databases and working with common office software.

Visit the website: http://www.ucc.ie/en/cko08/

Course Details

The Higher Diploma is offered as a one year full-time or a two years part-time.

This is a CONVERSION COURSE and is intended for graduates who do not have Computer Science Degree and would like to attain skills in demand by the IT sector.

Format

A typical five credit module includes:
• two lecture hours
• one to two hours of practicals per week
• outside these regular hours, you are required to study independently

Full-Time Mode

Full-Time students take 60 credits as follows: 30 credits in teaching period 1 and 30 credits in period 2.

CS1117 Introduction to Programming (15 credits) - Dr. Jospeh Manning
CS5002 Web Development 1 (5 credits) - Dr. Frank Boehme
CS5007 Computer Applications with Visual Basic (5 credits) - Dr. James Doherty
CS5008 Internet Computing (5 credits) - Mr. Adrian O'Riordan
CS5009 Multimedia (5 credits) - Prof. James Bowen
CS5018 Web Development 2 (5 credits) - Dr. Derek Bridge
CS5019 Systems Organization I (5 credits) - Prof. John Morrison
CS5020 Systems Organization II (5 credits) - Prof. John Morrison
CS5021 Introduction to Relational Databases (5 credits) - Dr. Kieran Herley
CS5022 Database Design and Administration (5 credits) - Mr. Humprey Sorensen

Part-Time mode

Part-Time students take 30 credits in each of the two academic years as follows:

- Year 1 -

CS1117 Introduction to Programming (15 credits) - Dr. Joseph Manning
CS5002 Web Development 1 (5 credits) - Dr. Frank Boehme
CS5018 Web Development 2 (5 credits) - Dr. Derek Bridge
CS5021 Introduction to Relational Databases (5 credits) - Dr. Kieran Herley

- Year 2 -

CS5007 Computer Application with Visual Basic (5 credits) - Dr. James Doherty
CS5008 Internet Computing (5 credits) - Mr. Adrian O'Doherty
CS5009 Multimedia (5 credits) - Prof. James Bowen
CS5019 Systems Organization I (5 credits) - Prof. John Morrison
CS5020 Systems Organization II (5 credits) - Prof. John Morrison
CS5022 Database Design and Administration (5 credits) - Mr. Humphrey Sorensen

Further details on the content and modules are available on the Postgraduate College Calendar - http://www.ucc.ie/calendar/postgraduate/Diploma/Science/page14.html

Assessment

The Higher Diploma in Applied Computing Technology will be examined through a combination of end-of-year exams and module assignments.

Careers

Companies actively recruiting Computer Science graduates in 2014-15 include:

Accenture, Aer Lingus, Amazon, Apple, Bank of America Merrill Lynch, Bank of Ireland, BT, Cisco, CiTi-Technology, Cloudreach, Dell, Digital Turbine Asia Pacific, EMC, Enterprise Ireland, Ericsson, First Derivatives, Guidewire, IBM, Intel, Open Text, Paddy Power, Pilz, PWC, SAP Galway Transverse Technologies, Trend Micro, Uniwink, Version 1 (Software).

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 postgraduate qualification allows you to study computing in greater depth, as well as developing your research and analytical skills – whilst undertaking your own individual thesis project investigating an area of particular interest. Read more
This postgraduate qualification allows you to study computing in greater depth, as well as developing your research and analytical skills – whilst undertaking your own individual thesis project investigating an area of particular interest. You will be able to utilise our state of the art facilities ensuring you are exposed to cutting edge technology and are able to pursue your specialist interests.

Course content

The general pathway provides a rounded computing education and broadly based computing qualification. The specialist pathways provide more focused routes for those who have clearly defined career aspirations while still seeking to develop knowledge and skills in a broad range of computing disciplines. All students on the programme study six modules and undertake a project based dissertation.

While primarily having a technological focus, this pathway also provides an awareness of the business context and encourages the development of interpersonal skills which can make a vital contribution to problem solving in business.

All modules are 20 credit modules except for the dissertation which is a 60 credit module. An MSc is awarded on successful completion of 180 credits (six 20 credit modules and one 60 credit dissertation module). Not all the designated modules may run or be offered in trimester two due to staff availability or low numbers of students choosing a module.

Course modules (16/17)

-Databases
-Dissertation
-Modern Computer Architecture
-Visual Object Software
-Computer Networks
-Distributed Systems
-Formal Methods for Software Construction
-Immersive Technologies
-Intelligent Systems
-Internet Programming
-Internet Security
-Java Programming
-Media Techniques
-Mobile Device Software Development
-Modelling for Enterprise
-Software Engineering
-Specification Analysis and Design

Methods of Learning

Theoretical lectures and seminars are reinforced by practical examples and case studies and using state of the art computer simulation tools and laboratory facilities.

Assessments

Assessment is by coursework, oral presentations, group work, practical reports, critical reviews and all students undertake a substantial independent research dissertation.

Facilities and Special Features

Special Course Features
This specialist postgraduate course allows you to pursue an area of particular interest utilising our recently upgraded facilities. We have developed this course to be studied around other commitments and you may only need to attend the university for two days per week.

Facilities available
You will have access to approximately 150 PC and Linux workstation computers housed in six bespoke computer laboratories, all with digital projection facilities, and maintained by two technicians. These facilities were brand new, state of the art hardware and furniture for the start of the calendar year 2010 in the newly refurbished Newton building. Having NVision as part of this course also enables access to cutting edge immersive technologies providing rare opportunities for you to work with multi-million pound immersive technologies in a meaningful and practical way.

Careers

Recent studies show a continuing demand for well-trained computing personnel. Successful graduates will have a whole range of possible employment paths in front of them within the broad IT/computing domain.

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Cloud-based systems are the latest development in large-scale computing, and it is predicted that billions of Euros will be spent by European businesses on cloud computing in the coming years. Read more
Cloud-based systems are the latest development in large-scale computing, and it is predicted that billions of Euros will be spent by European businesses on cloud computing in the coming years. But despite this, there are still surprisingly few graduate-level courses in this area.

Our course targets a known need in industry, providing an opportunity for you to study this exciting underlying technology. You gain hands-on experience with various types of cloud models and modern computing systems that use or support cloud computing. You will master areas including:
-Application development for cloud systems
-Cloud management technologies
-System architectures
-High-performance computing
-Social networking application development
-Computer and Network Security

We equip you with the knowledge and understanding to contribute fully to this quickly changing and developing area so that you can enter a range of employment roles related to cloud systems, including developing cloud based applications, managing cloud systems and designing cloud infrastructures.

Our School is a community of scholars leading the way in technological research and development. Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our work is driven by creativity and imagination as well as technical excellence.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

Our course is supported by the strong research interest and expertise in cloud and related technologies within our School of Computer Science and Electronic Engineering, ensuring you will learn the most up-to-date information in an engaging manner.

Our research covers a range of topics, from materials science and semiconductor device physics, to the theory of computation and the philosophy of computer science, with most of our research groups based around laboratories offering world-class facilities.

Our impressive external research funding stands at over £4 million and we participate in a number of EU initiatives and undertake projects under contract to many outside bodies, including government and industrial organisations.

In recent years we have attracted many highly active research staff and we are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

Our recent graduates have progressed to a variety of senior positions in industry and academia. Some of the companies and organisations where our former graduates are now employed include:
-Electronic Data Systems
-Pfizer Pharmaceuticals
-Bank of Mexico
-Visa International
-Hyperknowledge (Cambridge)
-Hellenic Air Force
-ICSS (Beijing)
-United Microelectronic Corporation (Taiwan)

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-MSc Project and Dissertation
-Cloud Technologies and Systems
-Computer Security
-Converged Networks and Services
-Group Project
-High Performance Computing
-Professional Practice and Research Methodology
-E-Commerce Programming (optional)
-IP Networking and Applications (optional)
-Mobile & Social Application Programming (optional)
-Network Security and Cryptographic Principles (optional)
-Advanced Web Technologies (optional)
-Creating and Growing a New Business Venture (optional)
-Information Retrieval (optional)

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Microprocessor manufacturers have recently presented the software industry with its most serious challenge ever, by switching from serial execution architectures clocked at ever-increasing clock rates to ever-more parallel multi-core architectures clocked at a constant (or even decreasing) clock rate. Read more
Microprocessor manufacturers have recently presented the software industry with its most serious challenge ever, by switching from serial execution architectures clocked at ever-increasing clock rates to ever-more parallel multi-core architectures clocked at a constant (or even decreasing) clock rate. The consequences will be profound because parallel computational activities will need to be handled as the norm, rather than the exception; programmers of the future will need skills that are currently possessed by very few, due to the inherent complexities of parallel systems.

This pathway is centred round a core theme, Parallel Computing in the Multi-core Era , that introduces students to the aforementioned complexities, and provides techniques and tools that can alleviate the ensuing problems of correctness, reliability, performance and system management. Subsidiary themes allow students to investigate broader areas in which they might apply their newly learned skills.

Teaching and learning

Computational thinking is becoming increasingly pervasive and is informing our understanding of phenomena across a range of areas; from engineering and physical sciences, to business and society. This is reflected in the way the Manchester course is taught, with students able to choose from an extremely broad range of units that not only cover core computer science topics, but that draw on our interdisciplinary research strengths in areas such as Medical and Health Sciences, Life Sciences and Humanities.

Coursework and assessment

Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.

Facilities

-Newly refurbished computing labs furnished with modern desktop computers
-Access to world leading academic staff
-Collaborative working labs complete with specialist computing and audio visual equipment to support group working
-Over 300 Computers in the School dedicated exclusively for the use of our students
-An Advanced Interfaces Laboratory to explore real time collaborative working
-A Nanotechnology Centre for the fabrication of new generation electronic devices
-An e-Science Centre and Access Grid facility for world wide collaboration over the internet
-Access to a range of Integrated Development Environments (IDEs)
-Specialist electronic system design and computer engineering tools

Career opportunities

Students following the Multi-Core Computing pathway have all the career options as described for general Advanced Computer Science.

In addition, students following this pathway are well placed for careers in the software industry since they will acquire the necessary skills to design and develop software that makes the most out of state-of-the-art multi-core architectures. This includes the games industry, the financial sector, and all other areas in which high performance computing is key.

We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry.

Accrediting organisations

This programme is CEng accredited and fulfils the educational requirements for registration as a Chartered Engineer when presented with a CEng accredited Bachelors programme.

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This unique course prepares graduates for a career in IT consultancy, particularly in relation to small and medium enterprise (SME) clients. Read more
This unique course prepares graduates for a career in IT consultancy, particularly in relation to small and medium enterprise (SME) clients. It includes practical work experience in a real consultancy business, the Kent IT Consultancy (KITC).

The course may appeal to graduates seeking a career in consultancy, or to practising consultants wishing to round out their skills and achieve formal academic recognition. All taught Master's programmes at Canterbury are available with an optional industrial placement.

Visit the website https://www.kent.ac.uk/courses/postgraduate/265/it-consultancy

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.

CB932 - Management of Operations (15 credits)
CO843 - Extended IT Consultancy Project (60 credits)
CO845 - New Enterprise Development (30 credits)
CO871 - Advanced Java for Programmers (15 credits)
CO881 - Object-Oriented Programming (15 credits)
CO882 - Advanced Object-Oriented Programming (15 credits)
CO874 - Networks and Network Security (15 credits)
CO876 - Computer Security (15 credits)
CO846 - Cloud Computing (15 credits)
CB937 - Financial and Management Accounting (15 credits)
CO887 - Web-Based Information Systems Development (15 credits)
CO889 - C++ Programming (15 credits)
CO894 - Development Frameworks (15 credits)
CO899 - System Security (15 credits)
CO892 - Advanced Network Security (15 credits)
CO834 - Trust, Security and Privacy Management (15 credits)
CO838 - Internet of Things and Mobile Devices (15 credits)
CO841 - Computing Law, Contracts and Professional Responsibility (15 credits)
CB934 - Strategy (15 credits)
CB904 - Structure and Organisation of the E-Commerce Enterprise (15 credits)
CB9067 - Digital Marketing (15 credits)
CO847 - Green Computing (15 credits)
CO886 - Software Engineering (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, except for the MSc in IT Consultancy for which the practical consultancy work is assessed through a series of reports covering each of the projects undertaken.

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.

Study support

We provide an extensive support framework for our research students and encourage involvement in the international research community.

While studying on a taught Master’s, you can gain work experience through our industrial placement scheme or with the Kent IT Consultancy (KITC), which provides a project-based consultancy service to businesses in the region.We have strong links with industry including Cisco, IBM, Microsoft and Oracle and are among the top ten in the UK for graduate employment prospects.

Postgraduate resources
The School of Computing has a large range of equipment providing both UNIX (TM) and PCbased systems and a cluster facility consisting of 30 Linux-based PCs for parallel computation. New resources include a multi-core enterprise server with 128 hardware threads and a virtual machine server that supports computer security experiments.

All students benefit from a well-stocked library, giving access to e-books and online journals as well as books, and a high bandwidth internet gateway. The School and its research groups hold a series of regular seminars presented by staff as well as by visiting speakers and our students are welcome to attend.

Our taught postgraduate students enjoy a high level of access to academic staff and have their own dedicated laboratory and study room. Students whose course includes an industrial placement are supported by a dedicated team which helps them gain a suitable position and provides support throughout the placement.

Our full-time research students are offered funds for academic conference travel, to assist in publishing papers and getting involved in the international community. You have your own desk and PC/laptop in a research office, which is shared by other research students. We also provide substantial support, principally via one-to-one supervision of research students and well-integrated, active research groups, where you have the opportunity to test and discuss your ideas in a friendly environment. You also go on an activity weekend at an outward-bound centre in the Kent countryside, where you will take part in team-building exercises designed to help you learn how to communicate effectively and work together to solve work-based problems.

Dynamic publishing culture
Staff and research students publish regularly and widely in journals, conference proceedings and books. Among others, they have recently contributed to: Journal of Artificial Evolution and Applications; International Journal of Computer and Telecommunications Networking; Journal of Visual Languages and Computing; Journal in Computer Virology.

Links with industry
Strong links with industry underpin all our work, notably with Cisco, Microsoft, Oracle, IBM, Agilent Technologies, Erlang Solutions, Hewlett Packard Laboratories, Ericsson and Nexor.

The Kent IT Consultancy
The Kent IT Consultancy provides School of Computing students with consultancy experience while studying. KITC provides a project-based consulting service to small businesses in Kent. Its wide variety of services range from e-commerce solutions and network support contracts to substantial software development projects.

Global Skills Award
All students registered for a taught Master's programme are eligible to apply for a place on our Global Skills Award Programme (http://www.kent.ac.uk/graduateschool/skills/programmes/gsa.html). The programme is designed to broaden your understanding of global issues and current affairs as well as to develop personal skills which will enhance your employability.

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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This taught postgraduate course is aimed at students who may not have studied computing exclusively but who have studied a considerable amount of computing already. Read more
This taught postgraduate course is aimed at students who may not have studied computing exclusively but who have studied a considerable amount of computing already.

If you want to become a specialist in a particular area of computing, this course will provide a first crucial step towards that goal.

This specialism focuses on artificial intelligence and knowledge engineering, and the development of computational and engineering models of complex cognitive and social behaviours.

Study areas include: cognitive robotics, complexity, complex systems, computational finance, computer networks, and distributed systems. We also offer specialisms in:

Computational Management Science
Machine Learning
Software Engineering
Secure Software Systems
Visual Information Processing

Each specialism has a flexible mix of breadth and depth, consisting of two or three compulsory modules as well as choices from a selection of core and optional modules.

You choose nine modules, seven of which must be selected from a group of eleven modules appropriate for the specialism.

Read less
This taught postgraduate course is aimed at students who may not have studied computing exclusively but who have studied a considerable amount of computing already. Read more
This taught postgraduate course is aimed at students who may not have studied computing exclusively but who have studied a considerable amount of computing already.

If you want to become a specialist in a particular area of computing, this course will provide a first crucial step towards that goal.

This course provides specialisation in the management of software development and the application of software technology to management and organisational information systems. We also offer specialisms in:

Artificial Intelligence
Machine Learning
Software Engineering
Secure Software Systems
Visual Information Processing

Each specialism has a flexible mix of breadth and depth, consisting of two or three compulsory modules as well as choices from a selection of core and optional modules.

You choose nine modules, seven of which must be selected from a group of eleven modules appropriate for the specialism.

Read less

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