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This programme of study is intended primarily for graduates from any non-computing background to obtain fundamental knowledge and understanding of a range of core subjects in Computing. Read more

Course outline

This programme of study is intended primarily for graduates from any non-computing background to obtain fundamental knowledge and understanding of a range of core subjects in Computing. The overall aim of education is to either equip the graduates who want to develop their careers in their own areas of speciality with additional understanding, awareness and skills of IT and Computing, or help those who want to change their careers into IT and Computing. The programme can also serve as a pre-requisite for advanced master programmes in Applied Computing at Buckingham.

Graduates who successfully complete the programmes are eligible for entry into the MSc in Innovative Computing degree programme.

The Graduate Diploma programme consists of 7 taught modules and an individual project. On completing the programmes, you will be able to understand:

- the role that computers and networked systems play in the modern world.
- the essential knowledge and skills in programming together with relevant structures and concepts to create such systems.
- fundamental concepts and principles of databases, networking, object-oriented programming, web design and human-computer interaction.
- advanced applications including data mining, multimedia, interactive computer graphics, and security systems.
- ethical, professional, social and legal issues in exploiting computing technology in practice.

The programme will also help you to develop skills in:

- Computing and web application
- Web design
- Programming and problem-solving for large scale or mobile applications
- Database and software development
- Developing usable GUIs
- Computer graphics
- Computer network issues

Find out more about our Department of Applied Computing on http://www.buckingham.ac.uk/appliedcomputing.

Teaching methods

Our modules include a mixture of formal lectures, tutorial classes and practical classes. At the start of each module you will be given an up-to-date module outline and reading list. Most modules will provide two or three hours of lectures each week to introduce you to the basic concepts and techniques. These will be supported by lecture notes or handouts.

Lectures are supported by weekly tutorial classes, usually one hour in length, which are held in small groups so that all students can benefit from individual attention. You will be expected to prepare for these classes, for example by attempting a set of exercises or by reading a case study.

Many of our modules have supervised practical classes in the computer laboratories in which you can apply and practise the techniques you have learnt in the lectures. These practical sessions are usually two or three hours long.

You will also be expected to study on your own, using the library for reading research and the computer laboratories to improve your practical skills.

Course material is also available on the University’s own Virtual Learning Environment. This allows students to download lecture notes, submit assignments and share resources in an electronic forum both within the University’s computer network and remotely.

Study options

Students may take the diploma over 9 (April start) or 12 (January start) months. The course is also available on a part-time basis over two years (starting in January).

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This is a long-established conversion course aimed at graduates from a non-computing discipline. It is designed to enable a career change to computing or update and broaden knowledge and skills if already working in the field. Read more
This is a long-established conversion course aimed at graduates from a non-computing discipline. It is designed to enable a career change to computing or update and broaden knowledge and skills if already working in the field. Key areas of study include Object Oriented and Web Programming, Information Systems and Digital Media Systems. A wide-range of optional units allow you to tailor your course to specialise in areas of your choice. A third of your MSc will consist of a solo project with individual supervision. This is supported by a series of seminars/workshops, but the emphasis is on student-centred learning and recognises expectations about student autonomy, typical of postgraduate level and also is part of the strategy to enhance your employability through the development of confidence, self-awareness and self-sufficiency.

It is possible to switch between MSc Information Systems and MSc Computing as you develop your areas of specialism and own interests in this exciting field.

We have excellent facilities and are a member of the Oracle Academy and highly rated in terms of research. Non means-tested loans of up to a maximum of £10,000 will be available to postgraduate master’s students.

Features and benefits of the course

-The School has an extensive range of equipment in our own specialist laboratories which is supported by a dedicated team of technical staff.
-Research in the School was rated 'internationally excellent' with some rated 'world-leading' in the 2014 Research Excellence Framework (REF).
-Our online virtual learning platform Moodle, provides access to lectures, course materials and assessment information.
-The School of Computing, Mathematics and Digital Technology is a member of the Oracle Academy.
-We are an academic partner of the Institute of Information Security Professionals (IISP). This partner status recognises our expertise in the field of information and cyber security.
-We are also an Academy of the Computer Technology Industry Association (CompTIA) and deliver their partner programme which provides a pathway for students towards a rewarding, high-growth IT career.

Placement options

Some students undertake practical project work while attending work placements.

About the Course

-Develop computer programmes using object-oriented development techniques
-Use object-oriented techniques for systems analysis and design
-Have an understanding of database technology and its exploitation
-Understand the underlying technical concepts of network technology, internet and multimedia technology or the delivery of applications
-Understand concepts and be able to apply appropriate techniques across a small number of specialist computing subjects
-Carry out a research-informed practical project involving system construction or experimental work.

The units on offer are regularly updated to reflect new developments in IT and may vary. It is possible to switch between MSc Information Systems and MSc Computing as you develop your areas of specialism and own interests in IT. A major independent practical project completes the MSc.

With flexibility a priority, students can choose their study workload to suit their changing circumstances. Part-time courses usually take three years but can take longer as required. Classes are on certain days of the week to facilitate part timers’ attendance and to allow those studying full-time to undertake some part-time employment if necessary. Some students undertake practical project work while attending work placements. Extensive use of a specialist virtual learning environment is available.

Assessment details

Assessment will be through coursework, examination and dissertation.

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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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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 MSc programme will provide you with the skills required to understand the entrepreneurship and innovation required for the software industry. Read more
This MSc programme will provide you with the skills required to understand the entrepreneurship and innovation required for the software industry. Many national and multinational companies employ computer science graduates in areas such as software development and engineering, artificial intelligence, systems and networks, database and systems security as well as mobile multimedia, modelling, research and development. You will also get the chance to demonstrate the skills you have learned by completing a substantial research and development project.

Visit the website: http://www.ucc.ie/en/ckr40/

Course Details

Students must attain 90 credits through a combination of:

- Core Modules (30 credits)
- Elective Modules (30 credits) (15 credits from Group 1 and 15 credits from Group 2 below)
- Research & Development Project (30 credits)

Core Modules

CS6403 Case Studies in Computing Entrepreneurship (5 credits) - Dr. John Herbert
CS6406 Large-Scale Application Development and Integration 1 (5 credits) - Prof. Gregory Provan
CS6407 Large-Scale Application Development and Integration 2 (5 credits) - Prof. Gregory Provan
CS6408 Database Technology (5 credits) - Mr. Humphrey Sorensen
CS6409 Information Storage and Retrieval (5 credits) - Mr. Humphrey Sorensen
CS6410 Project Development Skills (5 credits) - Mr. Marc Van Dongen

Elective Modules Group I

CS6312 Mobile Devices and Systems (5 credits) - Dr. Dan Grigoras
CS6314 Mobile Applications Design (5 credits) - Dr. Sabin Tabirca
CS6320 Formal Methods for Distributed Systems (5 credits) - Dr. John Herbert
CS6321 Model-Based Software Development (5 credits) - Dr. John Herbert
CS6322 Optimisation (5 credits) - Dr. Steve Prestwich

Elective Modules Group 2

CS6313 Services and Mobile Middleware (5 credits) - Dr. Dan Grigoras
CS6315 Mobile Systems Security (5 credits)
CS6316 Cellular Network Services (5 credits)
CS6317 Multimedia Technology in Mobile Networks (5 credits) - Dr. Sabin Tabirca
CS6323 Analysis of Networks and Complex Systems (5 credits) - Prof. Gregory Provan
CS6325 Network Security (5 credits) - Dr. Simon Foley
CS6405 Datamining (5 credits) - Dr. Marc Van Dongen

Research Phase (after period 2)

CS6400 Dissertation in Computing Science (30 credits)

Assessment

Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2015 Book and for each module in the Book of Modules 2015/2016 - http://www.ucc.ie/modules/

- Postgraduate Diploma in Computing Science -

Students failing to achieve an aggregate of at least 60% across all modules but who achieve a pass in each of the taught modules at their first attempt graduate with a Postgraduate Diploma in Computing Science. Students may also opt to exit the programme and graduate with a Postgraduate Diploma in Computing Science provided they have achieved a pass in each module.

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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With the rapid advancement of computing technology, there is an increasing demand in the dynamic and challenging environment of financial services for a variety of technological talent to deliver business solutions on a global scale. Read more
With the rapid advancement of computing technology, there is an increasing demand in the dynamic and challenging environment of financial services for a variety of technological talent to deliver business solutions on a global scale. This programme addresses this demand and will train you for advanced technical or managerial roles in new interdisciplinary areas of computational techniques and equip you with financial knowledge to deliver effective business solutions. You will gain:
• theoretical and practical knowledge of key areas of finance and computing in today’s industry and research
• knowledge of the latest technology and applications for the finance industry, such as big data and business analytics
• practical skills in research, analysis, realisation and evaluation of the technical or research documents in financial computing

You will undertake eight modules in the first two semesters and a dissertation project in the third semester for a total duration of 18 months. You will choose these modules based on the subject area of your first degree, such as computing, finance or other fields. 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.

Students on this programme will study a selection of the following subjects, the actual range depending on their undergraduate programme:
-Research Methods
-Object-Oriented Programming
-Cloud Computing
-Interactive Systems
-Artificial Intelligence
-Data Mining and Data Analytics
-Databases and Data Management
-Data Mining and Machine Learnin
-Software Architecture
-Computer Systems Security
-Accounting and Financial Management
-Financial Markets
-Financial Analysis
-Portfolio Management
-Alternative Investments and Strategies
-Fixed Income and Derivative Investments
-Dissertation Project

What are my career prospects?

Graduates from this programme will find employment as software engineers, database specialists, infrastructure managers, financial analysts, financial consultants, business analysts, system analysts, investment analysts, e-finance architects, credit managers, portfolio managers, business intelligence executives, wealth services officers, and risk management auditors amongst others.

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This is a conversion course aimed at graduates with a first degree in a non-computing discipline who want to gain employment in the lucrative IT industry. Read more

This is a conversion course aimed at graduates with a first degree in a non-computing discipline who want to gain employment in the lucrative IT industry.

You begin by studying key computing topics including

  • introduction to databases and big data
  • computer programming and web development
  • introduction to technology and computer hardware
  • IT project management and modern development methods

These modules provide the background knowledge you need to develop more advanced skills later in the course. They allow you to become familiar with the major technologies and concepts that underpin the modern computing industry.

Your learning at this stage has a practical focus and you are encouraged to take part in technical development work.

You go on to study a specialist topic in more depth with the choice of • databases • big data • web and cloud technologies. These areas are very current within the computing industry and in high demand of qualified IT personnel.

You then take an industrial expertise module where you have the opportunity to engage in live projects for real clients. This gives you experience working in a team to identify client needs, plan projects and produce working solutions.

You may be able to study abroad as part of the Erasmus programme.

During the final part of the course you complete an individual project which is the equivalent of a dissertation. To prepare you for this project, you first take a module on research skills and principles. You gain an understanding of research methods and learn how to manage a project of this kind.

As well as submitting project materials, you also deliver an assessed presentation describing your work to an audience.

Course structure

Core modules

  • databases and big data
  • web and multimedia programming
  • technology and networking
  • project management methods
  • industrial expertise
  • research skills and principles
  • product development project

Optional modules

You choose one from

Databases

This covers • logical database design • data warehousing • big data and distributed systems.

Web and cloud technologies

This covers • cloud technologies • cloud applications • mobile applications.

Big data

This covers • big data and distributed systems • data quality • business intelligence in action.

Assessment

  • individual assignments
  • group work
  • practical projects
  • reports
  • presentations

Employability

This course prepares you for a career in the software industry. You graduate with the skills and knowledge to work in areas such as • database development • web application development • big data • software consultancy. The course offers flexibility by being able to adopt the latest technologies and standards to reflect what is being used in industry.

Our computing graduates have found employment in companies such as Sky, PlusNet and Sumo Digital in roles ranging from software tester to senior architect.



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The Masters by Research (MRes) is a part-time distance learning Masters Degree by research allowing graduates from disciplines related to Computing and I.T. Read more
The Masters by Research (MRes) is a part-time distance learning Masters Degree by research allowing graduates from disciplines related to Computing and I.T. to develop their subject specific and personal skills through a programme of guided and structured research studies. Delivered in the distance learning (DL) mode means that you will be able to access learning materials and interact with staff at the University remotely, using the latest technology and online resources. It is an intensive programme of research under the guidance of a research supervisor who is a specialist in the chosen area of research. The general area of your study must fit in with the overall ‘flavour’ of the award, but within that general area you will be able to specialise in a topic negotiated between you and your supervisor according to a ‘Learning Contract’. The part-time route is very suitable for existing technologists, lecturers and teachers in academic institutions and may produce outcomes that are valuable to a current or potential employer. The distance learning mode of study is also suitable for learners whose situation allows them time to do online research but makes it more difficult to visit the University.

Course content

The MRes programme by distance learning is demanding and requires the equivalent of a minimum of 48 weeks of study in the full-time mode. The distance learning MRes usually takes a minimum of two years to complete in the part-time mode and the maximum period of registration for part-time study is five years. The course structure is heavily negotiated throughout so that it fits what you are interested in. As with all research you will proceed at a pace that suits you, within the guidelines given above. You will need to be highly motivated and personally well-organised. The Programme begins with the Research Methods Module which provides the research training you will use on the remainder of the course. This runs in September each year, so the middle of September is the normal start time. You will draw up a Learning Contract with your supervisor after the Research Methods Module. The remaining modules are taken sequentially.

It is possible to finish the Programme with the award of Pg. Certificate after successfully completing the first two modules, a Pg Diploma after two more modules and the Masters by Research after successful completion of the Masters Dissertation.

Graduate destinations

Currently the Faculty supports research in the following areas of Computing Science, although these are not exclusive: Enterprise, Knowledge and Information Systems, Cloud Computing, Computer Games Programming, Software Engineering and Mobile Systems, the Internet of Things, Networks, Cybercrime and Embedded Systems, Web, Multimedia and Interactive Systems. As an MRes graduate. you would be well suited to a career in any of these areas, or for Computing research in general. The completion of the award often leads to a student being enabled to undertake a further two years of research for the award of PhD. The MRes will gain you exemption from the research methods training course that PhD students usually have to take and will allow you to move directly to PhD study without going through the MPhil to PhD transfer, thereby reducing the time taken to complete the PhD by one year in most cases.

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This programme is an advanced computer science course that also introduces core management theories and skills to an audience of scientists and engineers who already possess a good foundation in programming. Read more
This programme is an advanced computer science course that also introduces core management theories and skills to an audience of scientists and engineers who already possess a good foundation in programming. It will improve your ability to solve advanced computational problems by gaining knowledge of data structures, design quantitative analysis of algorithms and their applications and implementation.

Key benefits

• Unrivalled location in the heart of London giving access to major libraries and leading scientific societies, including the BCS Chartered Institute for IT, and the Institution of Engineering and Technology (IET).

• Equips graduates with practical techniques and implementation skills for solving advanced computational problems.

• Develops critical awareness and appreciation of the changing role of computing in society, motivating graduates to pursue continuing professinoal development and further research.

• Access to speakers of international repute through seminars and external lectures, enabling students to keep abreast of emerging knowledge in advanced computing and related fields.

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/advanced-computing-with-management-msc.aspx

Course detail

- Description

This programme provides students with systematic knowledge and experience of the theoretical foundations and practice of computing at an advanced level. It is built around taught core modules such as Algorithm Design and Analysis, Data Structures and their Implementation in C++, Parallel and Distributed Algorithms, which are complemented by a wide range of optional modules for multimedia, optimisation, string processing and the web. The programme also prepares students to take on certain, more senior roles in industry that require specialist management knowledge and problem solving skills related to Advanced Computing. The final part of the programme is an individual project which is closely linked with the Department's research activities.

- Course purpose

For graduates in computer science, mathematics, science or engineering with good knowledge of computer programming, this MSc will enhance your ability to solve advanced computational problems and impart skills necessary for algorithm implementation within the context of software development and with core management theories. Research for your individual project will provide valuable preparation for a career in research or industry.

- Course format and assessment

Lectures; tutorials; seminars; laboratory sessions; optional career planning workshops. Assessed through: coursework; written examinations; final project report.

Career prospects

Via the Department’s Careers Programme, students are able to network with top employers and obtain advice on how to enhance career prospects. Our graduates have gone on to have very successful careers in general software consultancy companies, in specialised software development companies and in IT departments of large institutions (financial, telecommunications and public sector). Their jobs involve specialist programming and problem solving as well more conventional software development, maintenance and project management roles. Our graduates have also entered into academic and industrial research in software engineering, bioinformatics, algorithms and computer networks.

How to apply: http://www.kcl.ac.uk/study/postgraduate/apply/taught-courses.aspx

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The Network Computing MSc course covers technological, operational and strategic aspects of distributed and networked computer systems with core modules of study including support issues and the design of software. Read more
The Network Computing MSc course covers technological, operational and strategic aspects of distributed and networked computer systems with core modules of study including support issues and the design of software.

The course explores network and distributed computing issues in a range of application areas including multimedia, databases, usability and information security.

WHY CHOOSE THIS COURSE?

The options available allow you to explore network communications in a range of applications.

Accredited by the British Computer Society.

Research carried out in the Faculty of Engineering, Environment and Computing was recognised as world-leading in the Research Assessment Exercise 2008.

WHAT WILL I LEARN?

This course has two parts, the taught modules and Masters project.

Successful completion of the taught modules, which involves eight single modules of study, leads to the award of postgraduate diploma and, if the appropriate performance is achieved, allows progression onto the Masters project.

Taught modules
-Network Technologies
-Internet and Information Security
-Network Planning and Management
-Mobile Device Forensics
-Research Methods in Computing
-Individual Project

The final stage of this course requires the completion of a masters project, which must relate directly to the subject being studied. To complete this successfully students will develop a sound capability to carry out research. The project can be conducted either as a placement in an external organisation or working with one of the University research groups.

The MSc project serves to integrate, apply and further develop the different aspects within the taught part of the programme.

HOW WILL THIS COURSE ENHANCE MY CAREER PROSPECTS?

After completing the programme, you will have gained the skills to move into an area of network management:
-Designing and managing the implementation of a company LAN
-Assessing the security risks associated with internet use or a wireless network
-Advising on the specification of a company intranet
-Troubleshooting a WAN for global company communications

GLOBAL LEADERS PROGRAMME

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

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

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Accredited by BCS, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional. Read more
Accredited by BCS, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.

Course overview

If your first degree is not related to computing, this course allows you to make the transition to computing. Salaries in the ICT sector are over a third higher than the national average and our course is designed to fit the current needs of employers.

Our supportive tutors will guide you through topics that include software development, networks, database systems and web development. We help you develop the necessary skills to undertake a Masters-level project in designing and implementing IT systems, without assuming previous experience.

By the end of the course you will have an expert understanding of the processes and knowledge that are needed to design, implement and support an IT system. You will also be able to make a significant contribution to IT research activities as well as to team-based IT projects.

The research aspects of the course are supported by Sunderland’s on-going research programme. The specialisms of our Digital Innovation Research Beacon include intelligent systems, internet technologies, information retrieval and interaction design.

Sunderland has invested heavily in state-of-the-art technology for computer sciences and IT. We are among the UK’s top ten universities in terms of spend per student, according to The Guardian University Guide 2013.

Course content

The course mixes taught elements with independent projects. We support you with guidance and inspiration, and you can negotiate a final project that matches your personal interests.

Modules on this course include:
-Research Skills and Academic Literacy (15 Credits)
-Architectures and Operating Systems (15 Credits)
-Web and Multimedia Development (15 Credits)
-Software Development (30 Credits)
-Networks (15 Credits)
-Database Systems (15 Credits)
-Foundations of Computer Science (15 Credits)
-Masters Project (60 Credits)

Teaching and assessment

We use a wide variety of teaching and learning methods which include lectures, group work, research, discussion groups, seminars, tutorials and practical laboratory sessions.

Compared to an undergraduate course, you will find that this Masters requires a higher level of independent working. Assessment methods include individual written reports and research papers, practical assignments and the Masters project.

Facilities & location

The University of Sunderland offers an outstanding high-tech computing environment.

Employment & careers

On completing this course you will be equipped as a skilled professional with essential up-to-date knowledge in computer networking and mobile communication technologies. You will also have advanced knowledge of systems development, including web-based and database systems development.

Potential employment includes roles in:
-Internet and systems development
-Database administration and development
-User systems analysis and support
-Technical computing knowledge management
-Technical support
-Consultancy
-Research and education

The average gross salary in 2012 for those involved in information and communication was around £40,000, according to the Office for National Statistics. Technical support managers can earn up to around £66,000 and network security consultants can earn up to around £89,000.

As part of the course you will undertake a project solving a real world problem. These projects are often sponsored by external clients and we encourage and support you to find your own client and sponsor. This relevant work experience will enhance your skills, build up a valuable network of contacts and boost your employability.

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The programme is for students with computer science, mathematics, science or engineering backgrounds and good knowledge of computer programming. Read more
The programme is for students with computer science, mathematics, science or engineering backgrounds and good knowledge of computer programming. To improve ability to solve advanced computational problems by providing a thorough knowledge of data structures, design, quantitative analysis of algorithms and algorithmic applications and impart skills necessary for algorithm implementation within the overall context of software development.

Key benefits

- Unrivalled location in the heart of London giving access to major libraries and leading scientific societies, including the BCS Chartered Institute for IT, and the Institution of Engineering and Technology (IET).

- Equips graduates with practical techniques and implementation skills for solving advanced computational problems.

- Develops critical awareness and appreciation of the changing role of computing in society, motivating graduates to pursue continuing professinoal development and further research.

- Access to speakers of international repute through seminars and external lectures, enabling students to keep abreast of emerging knowledge in advanced computing and related fields.

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/advanced-computing-msc.aspx

Course detail

- Description

This programme provides students with systematic knowledge and experience of the theoretical foundations and practice of computing at an advanced level. It is built around taught core modules such as Algorithm Design and Analysis, Data Structures and their Implementation in C++, Parallel and Distributed Algorithms, which are complemented by a wide range of optional modules for multimedia, optimisation, string processing and the web. The final part of the programme is an individual project which is closely linked with the Department's research activities.

- Course purpose

For graduates in computer science, mathematics, science or engineering with good knowledge of computer programming, this MSc will enhance your ability to solve advanced computational problems and impart skills necessary for algorithm implementation. Research for your individual project will provide valuable preparation for a career in research or industry.

- Course format and assessment

Lectures; tutorials; seminars; laboratory sessions; optional career planning workshops. Assessed through: coursework; written examinations; final project report.

- Compulsory modules:

- Algorithm Design & Analysis
- Data Structures & their Implementation in C++
- Parallel & Distributed Algorithms.

Career prospects

Via the Department’s Careers Programme, students are able to network with top employers and obtain advice on how to enhance career prospects. Our graduates have gone on to have very successful careers in general software consultancy companies, in specialised software development companies and in IT departments of large institutions (financial, telecommunications and public sector). Their jobs involve specialist programming and problem solving as well more conventional software development, maintenance and project management roles. Our graduates have also entered into academic and industrial research in software engineering, bioinformatics, algorithms and computer networks.

How to apply: http://www.kcl.ac.uk/study/postgraduate/apply/taught-courses.aspx

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Memorial University’s MSc program in Scientific Computing was one of the first in North America, and remains the only such program in Atlantic Canada. Read more
Memorial University’s MSc program in Scientific Computing was one of the first in North America, and remains the only such program in Atlantic Canada. It trains students in advanced computational techniques and in the application of these techniques to at least one scientific area, such as Applied Mathematics, Chemistry, Computer Science, Earth Sciences, Physics, or Physical Oceanography. Students can expect to gain knowledge and experience in: (1) state-of-the-art numerical methods, (2) high performance computer architectures, (3) use of software development tools for parallel and vector computers, (4) graphics, visualization, and multimedia tools, and (5) acquisition, processing, and analysis of large experimental data sets.

The Scientific Computing program is interdisciplinary, enriched by the expertise of faculty members in a range of academic units. Researchers in external organizations contribute by co-supervising students, providing placements for co-op students, providing computing resources, and teaching some courses. The program has close links with ACEnet, the Atlantic Canada Excellence network of high performance computers on which much of our computational work is carried out.

The program is offered in both thesis and non-thesis (project) versions, with a cooperative education (co-op) option also available. Both full-time and part-time studies are possible. A distinguishing characteristic of this program is the emphasis on interdisciplinary studies. Graduating students will have mastered a broader range of science and engineering areas than graduates from the more traditional, discipline-based programs.

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Memorial University’s MSc program in Scientific Computing was one of the first in North America, and remains the only such program in Atlantic Canada. Read more
Memorial University’s MSc program in Scientific Computing was one of the first in North America, and remains the only such program in Atlantic Canada. It trains students in advanced computational techniques and in the application of these techniques to at least one scientific area, such as Applied Mathematics, Chemistry, Computer Science, Earth Sciences, Physics, or Physical Oceanography. Students can expect to gain knowledge and experience in: (1) state-of-the-art numerical methods, (2) high performance computer architectures, (3) use of software development tools for parallel and vector computers, (4) graphics, visualization, and multimedia tools, and (5) acquisition, processing, and analysis of large experimental data sets.

The Scientific Computing program is interdisciplinary, enriched by the expertise of faculty members in a range of academic units. Researchers in external organizations contribute by co-supervising students, providing placements for co-op students, providing computing resources, and teaching some courses. The program has close links with ACEnet, the Atlantic Canada Excellence network of high performance computers on which much of our computational work is carried out.

The program is offered in both thesis and non-thesis (project) versions, with a cooperative education (co-op) option also available. Both full-time and part-time studies are possible. A distinguishing characteristic of this program is the emphasis on interdisciplinary studies. Graduating students will have mastered a broader range of science and engineering areas than graduates from the more traditional, discipline-based programs.

Read less
Computing & Mathematical Sciences has an outstanding research record, for example, our Fire Safety Engineering Group has won the Queen's Anniversary Prize and the top award at the British Computer Society IT Awards for its EXODUS software. Read more
Computing & Mathematical Sciences has an outstanding research record, for example, our Fire Safety Engineering Group has won the Queen's Anniversary Prize and the top award at the British Computer Society IT Awards for its EXODUS software.

Each student normally first enrols on the MPhil degree. After completing the first year of the MPhil, the student's progress is reviewed, and, if considered satisfactory, the student is permitted to transfer to the PhD for a further two to three years of research. A student who does not wish to continue at this point may write up and submit the work to be considered for an MPhil degree.

MPhil/PhD students are usually provided with two supervisors, who guide them through the research. The supervisors are usually research staff from within the Department, although a supervisor may be appointed from another Department or from outside the university. The Department has a number of research groups focusing on practical and important real-life problems.

The Department also offers a one-year MSc by Research, please go online for more information.

Visit the website http://www2.gre.ac.uk/study/courses/pg/res/cms

What you'll study

If your research area does not fall exactly into one of the following categories, contact the Department to discuss your requirements.

- Thermal stress analysis
- Coupled structures and flow
- Electronic packaging
- Computer science
- Artificial intelligence
- Data mining
- Case-based reasoning
- Autonomic computing
- Operations research
- Internet technologies
- Multimedia
- E-learning
- Fire safety engineering and evacuation,
- Human behaviour, pedestrian dynamics, combustion and ventilation
- Parallel computing
- Continuum physics
- Algorithms and codes
- Computational fluid dynamics modelling

Fees and finance

Your time at university should be enjoyable and rewarding, and it is important that it is not spoilt by unnecessary financial worries. We recommend that you spend time planning your finances, both before coming to university and while you are here. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Find out more about our fees and the support available to you at our:
- Postgraduate finance pages (http://www.gre.ac.uk/finance/pg)
- International students' finance pages (http://www.gre.ac.uk/finance/international)

Assessment

Students are assessed through their research and a dissertation.

Career options

Graduates from this programme can pursue a wide range of career opportunities in industry, government and academia.

Find out how to apply here - http://www2.gre.ac.uk/study/apply

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