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This degree programme aims to give students a Masters-level postgraduate education in the knowledge, skills and understanding of research methods to enable them to operate effectively in the application of computing in industry, commerce or research. Read more
This degree programme aims to give students a Masters-level postgraduate education in the knowledge, skills and understanding of research methods to enable them to operate effectively in the application of computing in industry, commerce or research. Students with an interest in topics covered by our research teams will find this is an excellent opportunity to get involved in progressive research.

Why study MSc Computing Research at Dundee?

The MSc Computing Research degree is designed for graduates with a good degree in Computing or a related subject who wish to gain deep knowledge of research methods and experience of working in an active research environment.

The School of Computing provides a distinctive, balanced and enjoyable learning environment, matched to the future needs of both society and the computing field. Its research has strong foundations in mathematical and logical techniques, and in probabilistic and machine learning algorithms that are applied in its work on computer vision and multi-agent systems. In its applied research, the multi-disciplinary School has an international reputation in computer support for older and disabled people, healthcare computing, space systems and interaction design. All these areas of research have been developed through strong, long-term relationships with other leading academic institutions worldwide, and in collaboration with professional and industrial partners. The School is also active in commercialising its research, with several recent spin out companies fostering an entrepreneurial atmosphere.

The School of Computing has four major research groups:
Assistive and Healthcare Systems
Computational Systems
Interactive Systems Design
Space Technology Centre

What's so good about MSc Computing Research at Dundee?

The University of Dundee is at the forefront of computing research. We currently have 23 academics and 35 researchers working alongside our 27 PhD students. Since January 2008 our school of computing has generated 313 publications and counting. In this time, we've produced 129 projects totalling more than £12.3 million in funding making Dundee a great place to come to engage in computing research.

We encourage a professional, inter-disciplinary and user-centred approach to computer systems design and production, and will enable you to develop the skills so that you can undertake independent research and participate in proposal development and innovation.

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.

How you will be taught

We know how important it is to be at the leading edge of computing and so you will learn from research-active staff in the School of Computing. Leading researchers teach you and small class sizes mean that they really get to know you, making for an informal and supportive community.

What you will study

You study three taught modules, during the period January-March, making your module selections with your advisor, as follows:
Computing Research Frontiers
One of: Designing Innovative Research OR Research Methods
One of: Human Computer Interaction OR Multi-agent Systems and Grid Computing

Subject to examination performance, you then progress to the individual research project which runs from May to December. You will be based with one of the research groups within the School of Computing:

Assistive & healthcare technologies
Computational systems
Interactive systems design
Space technology centre

How you will be assessed

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

Careers

Our students are highly employable:
They develop the expertise that employers want from computing graduates - our Industrial Advisory Board includes experts from a range of industries including Amazon, Scottish Enterprise Tayside, NCR, Chevron and Microsoft
They are prepared for a wide range of good career prospects in computing - the UK faces a massive shortage of graduates qualified to fill the 120,000 new jobs in computing and IT every year

Graduates may also choose to continue to a PhD in the School of Computing or elsewhere.

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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Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study High Performance and Scientific 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 High Performance and Scientific 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 MSc in High Performance and Scientific Computing is for you if you are a graduate in a scientific or engineering discipline and want to specialise in applications of High Performance computing in your chosen scientific area. During your studies in High Performance and Scientific Computing you will develop your computational and scientific knowledge and skills in tandem helping emphasise their inter-dependence.

On the course in High Performance and Scientific Computing you will develop a solid knowledge base of high performance computing tools and concepts with a flexibility in terms of techniques and applications. As s student of the MSc High Performance and Scientific Computing you will take core computational modules in addition to specialising in high performance computing applications in a scientific discipline that defines the route you have chosen (Biosciences, Computer Science, Geography or Physics). You will also be encouraged to take at least one module in a related discipline.

Modules of High Performance and Scientific Computing MSc

The modules you study on the High Performance and Scientific Computing MSc depend on the route you choose and routes are as follows:

Biosciences route (High Performance and Scientific Computing MSc):

Graphics Processor Programming
High Performance Computing in C/C++
Operating Systems and Architectures
Software Testing
Programming in C/C++
Conservation of Aquatic Resources or Environmental Impact Assessment
Ecosystems
Research Project in Environmental Biology
+ 10 credits from optional modules

Computer Science route (High Performance and Scientific Computing MSc):

Graphics Processor Programming
High Performance Computing in C/C++
Operating Systems and Architectures
Software Testing
Programming in C/C++
Partial Differential Equations
Numerics of ODEs and PDEs
Software Engineering
Data Visualization
MSc Project
+ 30 credits from optional modules

Geography route (High Performance and Scientific Computing MSc):

Graphics Processor Programming
High Performance Computing in C/C++
Operating Systems and Architectures
Software Testing
Programming in C/C++
Partial Differential Equations
Numerics of ODEs and PDEs
Modelling Earth Systems or Satellite Remote Sensing or Climate Change – Past, Present and Future or Geographical Information Systems
Research Project
+ 10 credits from optional modules

Physics route (High Performance and Scientific Computing MSc):

Graphics Processor Programming
High Performance Computing in C/C++
Operating Systems and Architectures
Software Testing
Programming in C/C++
Partial Differential Equations
Numerics of ODEs and PDEs
Monte Carlo Methods
Quantum Information Processing
Phase Transitions and Critical Phenomena
Physics Project
+ 20 credits from optional modules

Optional Modules (High Performance and Scientific Computing MSc):

Software Engineering
Data Visualization
Monte Carlo Methods
Quantum Information Processing
Phase Transitions and Critical Phenomena
Modelling Earth Systems
Satellite Remote Sensing
Climate Change – Past, Present and Future
Geographical Information Systems
Conservation of Aquatic Resources
Environmental Impact Assessment
Ecosystems

Facilities

Students of the High Performance and Scientific Computing programme will benefit from the Department that is well-resourced to support research. Swansea physics graduates are more fortunate than most, gaining unique insights into exciting cutting-edge areas of physics due to the specialized research interests of all the teaching staff. This combined with a great staff-student ratio enables individual supervision in advanced final year research projects. Projects range from superconductivity and nano-technology to superstring theory and anti-matter. The success of this programme is apparent in the large proportion of our M.Phys. students who seek to continue with postgraduate programmes in research.

Specialist equipment includes:

a low-energy positron beam with a highfield superconducting magnet for the study of positronium
a number of CW and pulsed laser systems
scanning tunnelling electron and nearfield optical microscopes
a Raman microscope
a 72 CPU parallel cluster
access to the IBM-built ‘Blue C’ Supercomputer at Swansea University and is part of the shared use of the teraflop QCDOC facility based in Edinburgh

The Physics laboratories and teaching rooms were refurbished during 2012 and were officially opened by Professor Lyn Evans, Project Leader of the Large Hadron Collider at CERN. This major refurbishment was made possible through the University’s capital programme, the College of Science, and a generous bequest made to the Physics Department by Dr Gething Morgan Lewis FRSE, an eminent physicist who grew up in Ystalyfera in the Swansea Valley and was educated at Brecon College.

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Industry and commerce have an increasing need for IT-enabled decision makers and business-aware IT professionals. This postgraduate degree is designed to meet that need. Read more
Industry and commerce have an increasing need for IT-enabled decision makers and business-aware IT professionals. This postgraduate degree is designed to meet that need. The degree aims to give students a firm grounding in the knowledge, skills and understanding of computing, software development with a user-centric approach and the global business environment.

Why study MSc Computing with International Business at Dundee?

The MSc in Computing with International Business offers students a practical mix of technical computing modules such as internet programming and software development and business modules like economics for business managers and international business strategy.

At the University of Dundee we have a flexible approach to Computing with International Business. This course can be tailored to suit students with a strong computing background or those with less experience seeking to develop their skills while simultaneously developing their business acumen.

We encourage a professional, inter-disciplinary and user-centred approach to software design and production, and enable you to develop research skills so that you can undertake a major software development project.

What's great about Computing with International Business at Dundee?

International Business at the University of Dundee is well known abroad and as a result, there is a strong multicultural aspect in these classes. Students from countries all over the world like India, China Nigeria and more come here to study giving you the opportunity to work alongside people with a multitude of different ideas, skills and experiences.

The University of Dundee is at the leading edge of computing giving you the opportunity to take advantage of tutelage from leading researchers in an informal and supportive environment.

Your studies will take place in the Queen Mother Building, the University of Dundee’s award-winning epicentre of computing, which boasts an array of conventional and specialised equipment.

The start date is September each year. The MSc course lasts for 12 months and the PGDip lasts for 9 months.

- Degree Combinations
Computing with International Business with Work Placement MSc

How you will be taught

We know how important it is to be at the leading edge and so you will learn from research-active staff. Leading researchers teach you and small class sizes mean that they really get to know you, making for an informal and supportive community.

Industrial collaboration is part of our ethos too, so we regularly include guest experts from industry.

What you will study

You select six taught modules, three per semester, during the period September-April. You make module selections with your advisor, and this will be partially dictated by your background and previous study, plus any timetabling restrictions.

The typical list for students with limited computing background is shown *. Any module which has a significant overlap with your previous education will be disallowed, for students with a computing-related degree this will usually include most of the modules shown +.

Four Computing modules from:

Software Development+
Technology Innovation Management
Computer Vision
Computer Graphics
Computing the User Experience
Big Data Analysis
Database Systems
Secure Internet Programming
Software Engineering+
Agile Engineering
Computing Research Frontiers
Research Methods
Human Computer Interaction and Usability Engineering

Two Business modules from:

Corporate Finance
Performance Management and Reporting
Operations Management and Change
Business Accounting for Non-specialists
Principles of Marketing Practice
International Business Strategy
Global Marketing
Human Resource Management Strategies
Marketing Management and Strategy
Strategic Management Accounting
International Human Resource Management

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.

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

Careers

Career opportunities in software development, website design, network support, database development and research, working as computer systems manager, data processing manager, software engineer, computer analyst & programmer, computer & IT consultant.

Our students are highly employable:
They develop the expertise that employers want from computing graduates - our Industrial Advisory Board includes experts from a range of industries including Amazon, Scottish Enterprise Tayside, NCR, Chevron and Microsoft

They are prepared for a wide range of good career prospects in computing - the UK faces a massive shortage of graduates qualified to fill the 120,000 new jobs in computing and IT every year

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.

With a population of 150,000 Dundee 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 MSc in Computing is perfect for students looking to develop upon their previous computing-based qualifications from courses such as Computing, Information Technology, Information Systems, Software Engineering or related disciplines. Read more
The MSc in Computing is perfect for students looking to develop upon their previous computing-based qualifications from courses such as Computing, Information Technology, Information Systems, Software Engineering or related disciplines. This course provides the opportunity and guidance necessary for students to build upon their existing knowledge and gain the skills necessary to succeed in both commercial computing and research.

Why study MSc Computing at Dundee?

This degree programme aims to give students a Masters-level postgraduate education in the knowledge, skills and understanding of computing and software development to enable them to operate effectively in the application of computing in industry, commerce or research.

"The intersection of business models and IT requires people with varied experience, professional versatility, multidiscipline knowledge and technology understanding – a hybrid professional, in other words."
Diane Morello, Vice President and Gartner Fellow, Gartner Inc, 2008

What's so good about MSc Computing at Dundee?

This course is highly flexible, adapting to your skill level to create a programme tailored to suit you. We encourage a professional, inter-disciplinary and user-centred approach to software design and production, and will enable you to develop the skills so that you can undertake a major software development project.

In keeping with our theme of flexibility, this course offers its students a wide choice of individual projects to choose from.

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.

How you will be taught

We know how important it is to be at the leading edge of computing and so you will learn from research-active staff in the School of Computing. Leading researchers teach you and small class sizes mean that they really get to know you, making for an informal and supportive community.

Industrial collaboration is part of our ethos too, so we regularly include guest experts from industry.

What you will study

You select six taught modules, three per semester, during the period September-April. You will make module selections with your advisor, and this will be partially dictated by your background and previous study.

The typical list for students with limited computing background is shown *. Any module which has a significant overlap with your previous education will be disallowed, for students with a computing-related degree this will usually include most of the modules shown +.

The six taught modules will be chosen from topics such as the following:

Software Development+
Technology Innovation Management
Computer Vision
Computer Graphics
Computing the User Experience
Big Data Analysis
Database Systems
Secure Internet Programming
Software Engineering+
Agile Engineering
Computing Research Frontiers
Research Methods
Human Computer Interaction and Usability Engineering


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.

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

Careers

Career opportunities in software development, website design, network support, database development and research, working as computer systems manager, data processing manager, software engineer, computer analyst & programmer, computer & IT consultant.

Our students are highly employable:
They develop the expertise that employers want from computing graduates - our Industrial Advisory Board includes experts from a range of industries including Amazon, Scottish Enterprise Tayside, NCR, Chevron and Microsoft
They are prepared for a wide range of good career prospects in computing - the UK faces a massive shortage of graduates qualified to fill the 120,000 new jobs in computing and IT every year

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 MPhil programme in Scientific Computing is a full-time 12-month course which aims to provide education of the highest quality at Master’s level. Read more
The MPhil programme in Scientific Computing is a full-time 12-month course which aims to provide education of the highest quality at Master’s level. Covering topics of high-performance scientific computing and advanced numerical methods and techniques, it produces graduates with rigorous research and analytical skills, who are well-equipped to proceed to doctoral research or directly into employment in industry, the professions, and the public service. It also provides training for the academic researchers and teachers of the future, encouraging the pursuit of research in computational methods for science and technology disciplines, thus being an important gateway for entering PhD programmes containing a substantial component of computational modelling.

See the website http://www.graduate.study.cam.ac.uk/courses/directory/pcphmpscm

Course detail

The MPhil in Scientific Computing has a research and a taught element. The research element is a project on a science or technology topic which is studied by means of scientific computation. The taught element comprises of core lecture courses on topics of scientific computing and elective lecture courses relevant to the science or technology topic of the project. Most of the projects are expected to make use of the University’s High Performance Computing Service.

The students will attend lecture courses during Michaelmas Term (some courses may be during Lent Term) and then they will undertake a substantial Research Project over the next 6 months (from March to the end of August) in a participating Department. The research element aims to provide essential skills for continuation to a PhD programme or employment, as well as to assess and enhance the research capacity of the students. It is based on a science or technology topic which is studied by means of scientific computation. Research project topics will be provided by academic supervisors or by the industrial partners who are working with the participating Departments and may be sponsoring the research project.

There is equal examination credit weighting between the taught and the research elements of the course, which is gained by submitting a dissertation on the project and by written assignments and examinations on the core and elective courses, respectively.

Weighting of the assessed course components is as follows: Dissertation (research) 50%; written assignments on the core courses 25%; written examinations on the elective courses 25%.

Learning Outcomes

By the end of the course, students will have:

- a comprehensive understanding of numerical methods, and a thorough knowledge of the literature, applicable to their own research;
- demonstrated originality in the application of knowledge, together with a practical understanding of how research and enquiry are used to create and interpret knowledge in their field;
- shown abilities in the critical evaluation of current research and research techniques and methodologies;
- demonstrated self-direction and originality in tackling and solving problems, and acted autonomously in the planning and implementation of research.

Format

The taught element comprises core lecture courses on topics of all aspects of scientific computing, and elective lecture courses relevant to the topic of the research project.

The taught element comprises core lecture courses on topics of all aspects of scientific computing, and elective lecture courses relevant to the topic of the research project. There is equal examination credit weighting between the taught and the research elements of the course, which is gained by submitting a dissertation on the project and by written assignments and examinations on the core and elective courses, respectively. Weighting of the assessed course components is as follows: Dissertation (research) 50%; written assignments 25%; written examinations 25%.

The core lectures are on topics of high performance scientific computing numerical analysis and advanced numerical methods and techniques. They are organized by the Centre for Scientific Computing and are taught and examined during the first five months (October-February). Their purpose is to provide the students with essential background knowledge for completing their dissertation and for their general education in scientific computing.

In particular, their objective is to introduce students to the simulation science pipeline of problem identification, modelling, simulation and evaluation - all from the perspective of employing high-performance computing. Numerical discretisation of mathematical models will be a priority, with a specific emphasis on understanding the trade-offs (in terms of modelling time, pre-processing time, computational time, and post-processing time) that must be made when solving realistic science and engineering problems. Understanding and working with computational methods and parallel computing will be a high priority. To help the students understand the material, the lecturers will furnish the courses with practical coursework assignments.

The lectures on topics of numerical analysis and HPC are complemented with hands-on practicals using Linux-based laptops provided by the course (students may bring their own), as well as on the University’s High Performance Computing Service.

Appropriate elective lecture courses are selected from Master’s-level courses offered by the Departments of the School of Physical Sciences, Technology or Biological Sciences. The choice of courses will be such as to provide the students with essential background knowledge for completing their theses and for their general education in the materials science application of the project. They are decided in consultation with the project supervisor. While every effort is made within the Departments to arrange the timetable in a coherent fashion, it is inevitable that some combinations of courses will be ruled out by their schedule, particularly if the choices span more than one department.

Continuing

For continuation to a PhD programme in Scientific Computing, students are required to gain a Distinction (overall grade equal or greater than 75%).

How to apply: http://www.graduate.study.cam.ac.uk/applying

Funding Opportunities

There are no specific funding opportunities advertised for this course. For information on more general funding opportunities, please follow the link below.

General Funding Opportunities http://www.graduate.study.cam.ac.uk/finance/funding

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Developers of computing systems and practitioners in all computing disciplines need an understanding of the critical importance of building security and survivability into the hardware and software of computing systems they design, rather than trying to add it on once these systems have been designed, developed, and installed. Read more

Program overview

Developers of computing systems and practitioners in all computing disciplines need an understanding of the critical importance of building security and survivability into the hardware and software of computing systems they design, rather than trying to add it on once these systems have been designed, developed, and installed.

The MS in computing security gives students an understanding of the technological and ethical roles of computing security in today's society and its importance across the breadth of computing disciplines. Students can develop a specialization in one of several security-related areas by selecting technical electives under the guidance of a faculty adviser. The program enables students to develop a strong theoretical and practical foundation in secure computing, preparing them for leadership positions in both the private and public sectors of the computing security industry, for academic or research careers in computing security, or to pursue a more advanced degree in a computing discipline.

Plan of study

The program is designed for students who have an undergraduate computing degree in an area such as computing security, computer science, information technology, networking, or software engineering, as well as those who have a strong background in a field in which computers are applied, such as computer or electrical engineering. The curriculum consists of three required core courses, up to 6 technical electives (depending on the capstone option chosen), and a capstone thesis, project, or capstone course for a total of 30 semester credit hours.

Electives

Students are required to choose up to six technical electives, from:
-Advanced Computer Forensics
-Web Server and Application Security Audits
-Mobile Device Forensics
-Information Security Risk Management
-Sensor and SCADA Security
-Computer System Security
-Computer Viruses and Malicious Software
-Network Security
-Covert Communications
-Information Security Policy and Law
-Information Assurance Fundamentals
-Secure Data Management
-Secure Coding
-Foundations of Cryptography
-Foundations of Security Measurement and Evaluation
-Foundations of Intelligent Security Systems
-Advanced Cryptography
-Hardware and Software Design for Cryptographic Applications

Curriculum

Thesis/project/capstone course options differ in course sequence, see the website for a particular course's module information.

Other admission requirements

-Have a minimum grade point average equivalent to a 3.0/4.0.
-Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
-Submit a minimum of two recommendations from individuals who are well-qualified to assess the applicant's potential for success, and complete a graduate application.
-International applicants whose native language is not English must submit scores from the Test of English as a Foreign Language. Minimum scores of 570 (paper-based) or 88 (Internet-based) are required. Applicants who have completed undergraduate study at foreign universities must submit Graduate Record Examination (GRE) scores. GRE scores are also recommended for applicants whose undergraduate GPA is below 3.0.
-Applicants must satisfy prerequisite requirements in mathematics (integral calculus, discrete mathematics), statistics, natural sciences (physics, chemistry, etc.), and computing (programming, computer networking theory and practice, and systems administration theory and practice).

Bridge program

Students whose undergraduate preparation or employment experience does not satisfy the prerequisites required for the program may make up deficiencies through additional study. Bridge course work, designed to close gaps in a student's preparation, can be completed either before or after enrolling in the program as advised by the graduate program director. Generally, formal acceptance into the program is deferred until the applicant has made significant progress through this additional preparation.

If completed through academic study, bridge courses must be completed with a grade of B (3.0) or better. Courses with lower grades must be repeated. Bridge courses are not counted toward the 30 credit hours required for the master's degree. However, grades earned from bridge courses taken at RIT are included in a student's graduate grade point average. A bridge program can be designed in different ways. Courses may be substituted based upon availability, and courses at other colleges may be applied. All bridge course work must be approved in advance by the graduate program director.

Additional information

Study options:
Students may pursue the degree on a full-time basis, on-campus only.

Faculty:
The program faculty are actively engaged in consulting and research in various areas of secure computing and information assurance, such as cryptography, databases, networking, secure software development, and critical infrastructure security. There are opportunities for students to participate in research activities towards capstone completion or as independent study work.

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

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Study MSc Cloud Computing and gain the skills you need to manage cloud platforms, virtual data centres and related IT systems. Become confident in your use of cloud infrastructures, cloud and web application development, visualisation and cloud security. Read more
Study MSc Cloud Computing and gain the skills you need to manage cloud platforms, virtual data centres and related IT systems.

Become confident in your use of cloud infrastructures, cloud and web application development, visualisation and cloud security. Learn the newest software-engineering technologies used to develop cloud applications and work with Big Data and the Internet of Things (IoT).

Glasgow Caledonian University has an international reputation for research into cloud computing and service-oriented-architectures. As a cloud computing masters student, you will benefit from industry-relevant, research-informed teaching and use products from global industry leaders such as IBM and Microsoft, as well as the most popular open-source frameworks such as Hadoop.

This course has several available start dates and study options - for more information, view the relevant web-page:
SEPTEMBER 2017 (Part Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02986-1PTA-1718/Cloud_Computing_(Part-time)?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

JANUARY 2018 (Full Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02985-1FTAB-1718/Cloud_Computing?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

JANUARY 2018 (Part Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02986-1PTAB-1718/Cloud_Computing_(Part-time)?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

Programme Description

The MSc in Cloud Computing equips students with the fundamental knowledge and practical skills required to become a practitioner in this rapidly expanding area of computing.

Worldwide opinion in the computing industry is that this decade will be dominated by advances in the architectures and technologies that deliver Cloud Computing. Cloud Computing platforms are rapidly becoming the preferred route for the development of powerful and expandable IT infrastructures for today’s businesses.

The MSc Cloud Computing programme equips you with the skills necessary to fully understand the world of cloud computing and associated aspects such as cloud security and cloud software engineering. You will also learn about how cloud computing provides support for the new technologies being used for Big Data systems and the Internet of Things.

In addition to gaining an understanding of the fundamental principles underpinning these areas, you will gain essential skills in developing software applications using these technologies. You will also study project management and research methods.

Assessment

Assessment is used to demonstrate achievement of learning outcomes. The methods of assessment include class tests, coursework assignments, practical tests and technical reports. Practical implementation and evaluation form a significant part of the assessment for the taught modules and for the work of the MSc dissertation.

Career Opportunities

The field of Cloud Computing is rapidly expanding and the need for specialists to work with these new technologies is increasing at a great rate in all areas of business and industry.

These specialists will work in roles such as cloud software architect, cloud software engineer, cloud services developer, cloud sales consultancy, cloud engineer, cloud system administrator, cloud management and cloud security. The programme also prepares students for a research-oriented career.

Placements

Students will be made aware of placement opportunities provided by our industry partners. Typically a placement would be undertaken after graduating from the MSc programme but opportunities can sometimes be made available for students to undertake their MSc Dissertation in partnership with a commercial company.

What you will learn

Students complete six taught modules; three in trimester A and three in trimester B and an MSc dissertation in trimester C.

Trimester A:
-Cloud Computing and Web Services
-Cloud Virtualisation Security
-Big Data Landscape

Trimester B:
-Cloud Software Engineering
-Internet of Things
-IT Professional Issues and Project Methods

Trimester C:
-MSc Dissertation

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Are you excited by the impact of technology on our everyday lives and are keen to forge a successful career in the field? From day one, you will be immersed in an exciting, innovative environment where you will develop broad knowledge and skills in the main areas of computing and information technology which will be directly relatable to your future career. Read more
Are you excited by the impact of technology on our everyday lives and are keen to forge a successful career in the field? From day one, you will be immersed in an exciting, innovative environment where you will develop broad knowledge and skills in the main areas of computing and information technology which will be directly relatable to your future career.

You will take core modules covering areas of computing in programming, databases, systems analysis and design, and computer networks and web development. Designed in consultation with partners from industry, you will develop the most up-to-date computing knowledge, desired by employers across the industry.

This course fully meets the educational requirements for BCS Chartered IT Professional registration.

This course has several available starts and study options - for more information, please view the relevant web-page:
16 months full time - https://www.northumbria.ac.uk/study-at-northumbria/courses/computing-and-information-technology-dtfcin6/

Part time study - https://www.northumbria.ac.uk/study-at-northumbria/courses/computing-and-information-technology-dtpcin6/

3 years distance learning - https://www.northumbria.ac.uk/study-at-northumbria/courses/computing-and-information-technology-dtdciy6/

Learn From The Best

You will be taught by a range of academic staff who bring a wealth of professional experience. They are experts in specialist areas such as Strategic Management, Computer Science and Web Based Information Retrieval.

In a dynamic learning environment with an expert team of staff, you will be taught theoretical and practical research skills such as information literacy, as well as problem solving skills, self-directed learning and communication skills.

Teaching And Assessment

On this course, you will have the opportunity to independently research topics to deepen your learning and understanding, while learning the skills to communicate your research and investigations.

Assessment methods will include reports, presentations, individual, group and project work, alongside regular feedback on your summative assessment.

Module Overview
KC7013 - Database Modelling (Core, 20 Credits)
KF7010 - Programme Design & Implementation (Core, 20 Credits)
KF7011 - Systems Analysis & Design with UML (Core, 20 Credits)
KF7013 - Website Development and Deployment (Core, 20 Credits)
KF7023 - Computer Networks & Operating Systems (Core, 20 Credits)
KF7028 - Research Methods and Project Management (Core, 20 Credits)
KF7029 - MSc Computer Science & Digital Technologies Project (Core, 60 Credits)

Learning Environment

Throughout the duration of your course you will have access to our state-of-the-art facilities including our dedicated computing suite, Pandon Basement.

Pandon Basement houses specialist facilities and studios with industry-standard software.

You will also have access to dedicated computing areas, which can be used during free periods and into the evenings and weekends.

When you want to get hands-on with technology our range of specialist facilities will support you.

You will also have access to the University’s award winning library (online and on campus). The library achieved the second highest score in the UK in the Times Higher Student Satisfaction Survey 2015.

Research-Rich Learning

You will be immersed in a research-rich environment supported by our rapidly expanding Computer Science and Information Science Research Groups.

Northumbria’s BCS-accredited MSc has been designed to ensure you learn the most up-to-date computing knowledge required by employers across the industry. We offer research-informed teaching, industry-standard software and a strong community of like-minded students.”

You will be taught by staff with a strong academic background in areas such as Web Programming who promote innovative and excellent learning and teaching practice.

You will develop an understanding of important research methods and approaches which could be directly applicable to the demands of your future career.

Give Your Career An Edge

Industry practice has strongly influenced the design of the programme to give you the computing knowledge to work within a variety of roles in the sector.

Learning independently, working collaboratively on projects, evaluating and reflecting upon practitioner experience, are all essential skills of the computing profession. Your modules will enable you to do all of this and more as you develop the qualities needed for a career in computing.

This programme will prepare you to meet the educational requirements for BCS, the Chartered Institute for IT, Chartered IT Professional (CITP) registration.

Your Future

Upon graduating from this course, you will have an in-depth knowledge and critical understanding of the main areas of Computing and Information Technology, including the key areas of systems analysis, systems development, operating systems, networking, databases and the internet .

We place a real emphasis on developing the transferable skills that will open doors to a range of careers. These include communication, analytical and problem solving skills, technical skills and the ability to work independently and as part of a team.

Graduates are expected to work in a number of career opportunities across a wide range of computer areas including software engineering, systems analysis and design, computer networks, database development and management, software testing and project management.

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If your first degree is not in computing but you want to move into IT then our BCS accredited MSc in Computing is designed for you. Read more
If your first degree is not in computing but you want to move into IT then our BCS accredited MSc in Computing is designed for you. Our course provides the basis for starting a career in computing and IT; teaching you the fundamentals of programming, hardware, networks and software engineering.

The course will enable you to develop a sound knowledge of computer software development for a range of problem areas, such as interactive websites, stand-alone applications and network systems. Because of its emphasis on software system construction and management, and data organisation, the qualification is applicable to a wide variety of fields concerned with using computers, as well as directly to the computer industry itself.

Why choose this course?

This programme is rooted in real-world and industry-relevant experiences. Lecturing staff have extensive experience in research and university teaching, as well as a wide range of previous industrial and commercial backgrounds. You will have the opportunity to put the skills you have gained into practice if you choose to undertake our 1 year optional placement.

You will be joining a department with a diverse and truly international postgraduate community. The universal nature of the technical skills developed in our programmes means our courses are of equal relevance to both new graduates and those with many years of industrial experience.

Professional accreditation

BCS, the Chartered Institute for IT. The MSc in Computing is accredited as partially meeting the requirements for CITP and have been awarded the EQANIE (European Quality Assurance Network for Informatics Education) label.

This course in detail

The MSc in Computing has a modular course unit design providing you with maximum flexibility and choice. To qualify for a master’s degree, you must pass modules amounting to 180 credits. This comprises six taught modules (20 credits each) plus your dissertation (60 credits).

The MSc in Computing with placement enables you to work in industry for a year in the middle of your course to give valuable workplace experience. Placements are not guaranteed, but the Department's dedicated placement team will help with the process of finding and applying for placements. To qualify for a Master’s degree with placement, you must pass modules amounting to 180 credits plus the zero credit placement module. This comprises six taught modules (20 credits each) plus your dissertation (60 credits).

The Postgraduate Diploma in Computing allows you to concentrate on the taught part of the degree and is ideal for people working in the computing industry who wish to brush up their skills. To qualify for a Postgraduate Diploma, you must pass modules amounting to 120 credits. This comprises six taught modules (20 credits each). In some cases, it may be possible for a student on a Postgraduate Diploma to do 3 taught modules (20 credits each) plus your dissertation (60 credits).

The Postgraduate Certificate in Computing allows you to concentrate on the taught part of the degree and is ideal for people working in the computing industry who wish to learn a specific area in this rapidly changing discipline. To qualify for a Postgraduate Certificate, you must pass modules amounting to 60 credits. This comprises three taught modules (20 credits each).

We also offer a Postgraduate Certificate Computing Research Project.

Part-time students normally distribute the work evenly over a two-year period.

Semester 1 - You can choose from the following modules:
-Research and Scholarship Methods (compulsory for MSc and PG Dip)
-Object-Oriented Programming (compulsory for MSc and PG Dip)
-Structured Data (compulsory for MSc)

Semester 2 - You can choose from the following modules:
-Computer Systems and Networks (compulsory for MSc and PG Dip)
-Software Production (compulsory for MSc)
-Cyber security and the web (Compulsory for MSc)

As courses are reviewed regularly as part of our quality assurance framework, the list of taught modules you choose from may vary from the list here.

Students undertaking an MSc with placement will do a 1 year placement in industry. The placement will be undertaken after the taught component and before doing the dissertation.

Students studying for an MSc will also take:
-MSc Dissertation (completed over summer)

Careers and professional development

Our MSc students come from all over the world and graduate to follow careers in technical, business-related and creative roles, for example as developers, engineers, IT managers or web developers. Whatever their interest, our graduates tell us that the relevance of our courses and the skills they've learnt enable them to achieve their goals and build their careers.

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The MSc in Advanced Computing allows a computing graduate or a graduate of a closely related discipline to further advance their professional computing skills at a postgraduate level by study of a portfolio of bespoke specialist computing topics. Read more
The MSc in Advanced Computing allows a computing graduate or a graduate of a closely related discipline to further advance their professional computing skills at a postgraduate level by study of a portfolio of bespoke specialist computing topics. As a leading University we are committed to the advancement of computing. Research in the Faculty includes Pervasive Computing, Distributed Computing and Applications; Innovative Applications for Interactive Worlds Serious Games and Virtual Worlds.

Our research activities are strengthened by collaborations both within the University and externally with prestigious institutions such as the Serious Games Institute. These links provide a close interface between high-level applied academic research and leading edge technology companies in the fields associated with computing.

The course is accredited by the British Computer Society. The programme is delivered by a specialist team of academics, and the research in the Faculty is recognised as world-leading (RAE 2008).

WHY CHOOSE THIS COURSE?

The MSc in Advanced Computing programme curriculum consists of core topics and a substantial MSc project. Successful completion of both parts leads to an award of MSc in Advanced Computing. Completion of the taught modules without a project leads to an award of a Postgraduate Diploma.

WHAT WILL I LEARN?

The mandatory study topics are as follows:
-Software Development
-Software Engineering Design

The remainder of the programme is bespoke, made up of topics from areas such as:
-Database Systems
-Software Process Management
-Open Systems Application Development
-Real-Time Embedded Systems

The Advanced Computing postgraduate programme includes the completion of an individual project. Guided by an expert tutor, the MSc project serves to provide a method of applying previous learning whilst further developing the skills necessary to carry out research and facilitate the acquisition of valuable professional experience integral to that of a computer professional.

HOW WILL THIS COURSE ENHANCE MY CAREER PROSPECTS?

Potential careers open to you depend on your skills and mix of subjects, but will include:
-Analyst programmer
-Systems analyst
-IT manager
-Software development manager
-Applications development manage

Opportunities also exist to complete a PhD research degree upon completion of the master’s course:

GLOBAL LEADERS PROGRAMME

Centre for Global Engagement logoTo 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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Combine business and management skills with computing expertise. Gain specialist, up-to-date computing, business and management knowledge with this intensive MSc. Read more

Introduction

Combine business and management skills with computing expertise. Gain specialist, up-to-date computing, business and management knowledge with this intensive MSc. The course covers the application and development of key computer technologies, as well as business management principles. You will be offered a choice of computing modules, so that you can adapt the course to your previous computing experience.
Computing Science at Stirling has strong links with industry. Students can get a first hand industrial experience through placements and internships with local enterprises and organisations. More specifically, we offer company-based MSc projects to our students where our students can work with an employer to gain valuable commercial experience. We usually place more than 50% of our students with a company for the MSc project duration. We also regularly invite industry experts to share their expertise with students through seminars and talks.
The course is designed to complement and extend a student’s previous education and experience. As such the course offers a high degree of flexibility.
You will also get prepared for finding and securing a great job after completing this course through an integrated structured personal and professional development programme. This course covers crucial topics such as self-image, body language, interview techniques, assessment centre strategies, conflict resolution as well as CV preparation and job targeting techniques.

Key information

- Degree type: MSc, Postgraduate Diploma, Postgraduate Certificate
- Study methods: Full-time
- Start date: September
- Course Director: Dr Mario Kolberg

Course objectives

The course is aimed at students from a variety of backgrounds, especially those that do not have any previous training in computing or management.
This MSc will equip you with required knowledge in management and computing to embark on a successful career in the management of IT systems and teams. Our company sponsored MSc projects will provide an ideal pathway into the industry.

English language requirements

If English is not your first language you must have one of the following qualifications as evidence of your English language skills:
- IELTS: 6.0 with 5.5 minimum in each skill
- Cambridge Certificate of Proficiency in English (CPE): Grade C
- Cambridge Certificate of Advanced English (CAE): Grade C
- Pearson Test of English (Academic): 54 with 51 in each component
- IBT TOEFL: 80 with no subtest less than 17

For more information go to English language requirements https://www.stir.ac.uk/study-in-the-uk/entry-requirements/english/

If you don’t meet the required score you may be able to register for one of our pre-sessional English courses. To register you must hold a conditional offer for your course and have an IELTS score 0.5 or 1.0 below the required standard. View the range of pre-sessional courses http://www.intohigher.com/uk/en-gb/our-centres/into-university-of-stirling/studying/our-courses/course-list/pre-sessional-english.aspx .

Structure and content

This course comprises two 15-week semesters of taught modules, a winter programming assignment over three weeks in January, and the MSc dissertation project over three months at the end.
Practical work is a key component in this course. It builds from self contained tasks in the first semester, over the larger winter programming assignment, to a group project in Semester 2. Finally, the dissertation project (possibly with a company) is the largest piece of work leading to your MSc dissertation. We usually place more than 50% of our students with a company for the MSc project duration.

Study method

Full-time This course may also be taken on a part-time basis over a period of up to 27 months following a course of study agreed with the Programme Director.

Why Stirling?

REF2014
In REF2014 Stirling was placed 6th in Scotland and 45th in the UK with almost three quarters of research activity rated either world-leading or internationally excellent.

Career opportunities

The MSc in Computing for Business will greatly enhance the employment prospects of students. As a graduate of Computing for Business, you will be in demand to manage and lead IT projects in a range of sectors including IT software organisations, service enterprises, large corporates, financial institutions.
Previous postgraduate students in the department have been very successful in obtaining suitable employment in the computing field in a considerable diversity of posts - with small companies, with major international organisations including Accenture, IBM, HP, Yammer, Google, Microsoft, Reuters and major financial institutions such as HBOS, as well as with Local Authority and Government bodies. A number of graduates of the MSc Advanced Computing have continued their studies towards a PhD.
More generally, common job profiles of our graduates are:
- As a Systems Analyst, you will work on solving computer problems. This might involve adapting existing systems or using new technologies designing a new software solution. In doing so, you will design software, write code, and test and fix software applications. You might also be involved in providing documentation for users. Typically, you would work as part of a larger team.

- IT Consultants closely work with clients (often at the clients premises) and advise them on how to use computer technology and applications to best meet their business needs. You will work with clients to improve their efficiency of using computer systems. This may involve the adaptation/customisation of software applications or the development of custom applications for the specific needs of the customer. As well as technical duties, you may be involved in project management.

- Applications Developers translate software requirements into programming code and will usually specialise in a specific area, such as computer games or web technology. Often developers work as part of a larger team. You may be in charge of developing a certain component or part of a larger application.

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This qualification develops a rigorous approach to the study and application of computing, and incorporates transferable skills that are highly applicable to professional development in the field. Read more

MSc in Computing

This qualification develops a rigorous approach to the study and application of computing, and incorporates transferable skills that are highly applicable to professional development in the field. You can choose between the flexible MSc in Computing (offering a wide choice of industry relevant modules), and the more focused MSc in Computing (Software Engineering) or MSc in Computing (Information Security and Forensics), which enable you to develop in-depth specialist knowledge. All three routes finish with a substantial independent project, with either a professional or research orientation. The professional project engages in a research scenario in an employment-related setting of your choice, while the research project enables you to design a research proposal relating to an issue or problem of professional relevance to you or an employer, institution or public body.

Key features of the course

•Brings together theory and practice and draws on your own background and experience
•Enables you to tailor your studies to your specific career needs and professional interests
•Provides an excellent platform for further research studies.

This qualification is eligible for a Postgraduate Loan available from Student Finance England.

Modules

There are three pathways available for this degree:

•MSc in Computing
•MSc in Computing (Software Engineering)
•MSc in Computing (Information Security and Forensics)

We advise you to begin with modules from the first list for each pathway before moving on to the second.

MSc in Computing

To gain this qualification, you need 180 credits as follows:

60 credits from the optional modules in List A:

List A:

• Data management (M816)
• Digital forensics (M812)
• Information security (M811)
• Project management (M815)
• Software development (M813)
• Software engineering (M814)

Plus

A further 60 credits from List A, or from List B:

List B: optional modules

• Advanced routing CCNP 1 (T824)
• Continuing professional development in practice (U810)
• Managing systemic change: inquiry, action and interaction (TU812)
• Managing technological innovation (T848)
• Network security (T828)
• Problem solving and improvement: quality and other approaches (T889)
• Strategic capabilities for technological innovation (T849)
• Thinking strategically: systems tools for managing change (TU811)

Plus

60 credits from either the Research route or Professional route:

Research route

Compulsory module

• Research project (T802)

Professional route

Compulsory module

• The MSc professional project (T847)

Plus

A further 30 credits from List B, or any 30-credit module at OU Level 3 or above.

MSc in Computing (Software Engineering)

To gain this qualification, you need 180 credits as follows:

60 credits of compulsory modules (starting with M813):

Compulsory modules

• Software development (M813)
• Software engineering (M814)

Plus

60 credits from List C:

List C: optional modules

• Advanced routing CCNP 1 (T824)
• Continuing professional development in practice (U810)
• Data management (M816)
• Digital forensics (M812)
• Information security (M811)
• Managing systemic change: inquiry, action and interaction (TU812)
• Managing technological innovation (T848)
• Network security (T828)
• Problem solving and improvement: quality and other approaches (T889)
• Project management (M815)
• Strategic capabilities for technological innovation (T849)
• Thinking strategically: systems tools for managing change (TU811)

Plus

60 credits from either the Research route or Professional route:

Research route

Compulsory module

• Research project (T802)

Professional route

Compulsory module

• The MSc professional project (T847)

Plus a further 30 credits from List C, or any 30-credit module at OU Level 3 or above.

MSc in Computing (Information Security and Forensics)

To gain this qualification, you need 180 credits as follows:

60 credits of compulsory modules (starting with M811):

Compulsory modules

• Information security (M811)
• Digital forensics (M812)

Plus

60 credits from List D:

List D: optional modules

• Advanced routing CCNP 1 (T824)
• Continuing professional development in practice (U810)
• Data management (M816)
• Managing systemic change: inquiry, action and interaction (TU812)
• Managing technological innovation (T848)
• Network security (T828)
• Problem solving and improvement: quality and other approaches (T889)
• Project management (M815)
• Software development (M813)
• Software engineering (M814)
• Strategic capabilities for technological innovation (T849)
• Thinking strategically: systems tools for managing change (TU811)

Plus

60 credits from either the Research route or Professional route:

Research route

Compulsory module

• Research project (T802)

Professional route

Compulsory module

• The MSc professional project (T847)

Plus a further 30 credits from List D, or any 30-credit module at OU Level 3 or above.

The modules quoted in this description are currently available for study. However, as we review the curriculum on a regular basis, the exact selection may change over time.

Credit transfer

If you have already completed some successful study at postgraduate level at another institution you may be able to transfer credit for this study and count it towards this Open University qualification. If you wish to apply to transfer credit you must do so as soon as possible as it may affect your choice of OU modules. If you are awarded credit for study completed elsewhere, you may find that you need to study fewer OU modules to complete your qualification with us.

Visit our Credit Transfer site for more information and details of how to apply for credit transfer.

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Got a love for computing and technology? Hoping to build on the skills you learnt during your undergraduate studies? This essential applied computing masters is well suited to students from a business IT or computing background, helping you to build on existing skills and develop advanced theoretical and practical proficiencies. Read more

Overview

Got a love for computing and technology? Hoping to build on the skills you learnt during your undergraduate studies? This essential applied computing masters is well suited to students from a business IT or computing background, helping you to build on existing skills and develop advanced theoretical and practical proficiencies.

- Students study a curriculum developed with input from an industry liaison panel, ensuring that the course content is up to date and meets the needs of employers.
- This curriculum covers a range of relevant computing disciplines including business IT, software development, security, web design, computer networking, big data analytics, user experience and mobile technologies.
- The Southampton Solent University campus hosts regular British Computer Society (BCS) professional development events.
- Graduates will be well prepared to pursue Cisco Certified Networking Professional (CCNP), BCS agile and BCS software testing certifications.
- Learners have access to a range of professional software suites and state-of-the-art IT laboratories.
- Available labs depend on student specialism, but can include eye tracking / UX facilities or dedicated networking security labs.
- The course comes to a close with students conducting their own research projects. This can be an excellent way to specialise knowledge towards desired careers, or act as a springboard for PhD study.
- This course can be delivered flexibly over two years, allowing students to fit studies around their work.

The industry -

The UK’s IT industry is worth £58 billion annually. With employment of IT professionals expected to grow nearly twice as fast as the UK average between now and 2020 (e-skills UK), it looks like demand for well-qualified information technology graduates is set to remain strong.

A postgraduate qualification can put you at the forefront of this demand, demonstrating your commitment to the industry and your ability to carry out in-depth computing research.

The programme -

Southampton Solent University’s applied computing masters programme places a unique focus on graduate employability, focusing on developing the specific skills that industry employers are seeking.

One of the ways that the course team ensure the curriculum is achieving this goal is through regular consultations with an industry liaison panel. This panel advises the course team on the latest industry developments and the course content is changed accordingly.

These strong links with industry have provided previous School of Media Arts and Technology students with access to a range of work experience opportunities, case studies and guest lectures.

Computing students at Southampton Solent have the opportunity to use industry standard facilities throughout their studies. Our EC Council certified security and networking labs feature a wide variety of equipment from Cisco (including Cisco Packet Tracer), Fluke and HP, as well as high-fidelity simulation systems like the market-leading Opnet. Students also have free access to our devices lab, where they can test their web design projects on a variety of different computing devices.

Students are supported to develop a range of transferable skills throughout the course. These include project management, problem solving and analytical skills that empower students to work in a range of different industries after graduation. Students will also develop high-level academic skills, perfect for those who are hoping to pursue a PhD.

Course Content

Programme specification document - http://mycourse.solent.ac.uk/course/view.php?id=6152

Teaching, learning and assessment -

With few formal lectures, most units are taught in small class-based sessions, usually in IT labs.

For the research and development project you will be assigned a project tutor, who will advise and support you.

Assessment -

The course is assessed through a mixture of coursework assignments, group work, videos, presentations, a project research paper and a final poster presentation.

Teaching -

The course’s teaching staff have a wide range of academic, research and professional experience that they bring to their teaching. Research interests include data mining, learning technologies, gamification, wireless systems, computer systems and OpenStreetMap applications.

Our facilities -

During your studies you will learn to build information systems using a variety of professional-grade software packages. You will also have access to our state-of-the-art IT laboratories; depending on your choice of options you may have access to our specialised network security laboratory or usability lab with eye-tracking facilities.

You’ll have access to our devices lab, a special test area integrated with our existing software development spaces. The devices lab consists of a range of the latest mobile devices mounted on flexible tethers, allowing you to test your websites and apps on real equipment.

Web-based learning -

Solent’s virtual learning environment provides quick online access to assignments, lecture notes, suggested reading and other course information.

Why Solent?

What do we offer?

From a vibrant city centre campus to our first class facilities, this is where you can find out why you should choose Solent.

Facilities - http://www.solent.ac.uk/about/facilities/facilities.aspx

City living- http://www.solent.ac.uk/studying/southampton/living-in-southampton.aspx

Accommodation - http://www.solent.ac.uk/studying/accommodation/accommodation.aspx

Career Potential

The option choices within the course structure provides students with the opportunity for in-depth study at postgraduate level in selected areas of specialism in computing and business IT – laying the groundwork for a successful career in management, strategic planning or system development.

Suitable roles for graduates include:

- Business Analyst
- Project manager
- Database manager
- Digital marketer
- Software developer
- Web Developer
- Application development
- Project manager
- Senior database analyst
- Senior user experience analyst
- Software architect
- Network deployment specialist.

Links with industry -

Course content is developed with input from an industrial liaison panel, making sure that your studies include the latest technology and working practice from industry experts.

You’ll also have the chance to work directly with real-world companies on live briefs, events and projects, while regular BCS meetings hosted at the University are your chance to build professional connections and secure valuable work experience opportunities.

Transferable skills -

This course will develop your academic, presentation, IT, analytical and project-management skills.

Further study -

If you are interested in research, the course offers opportunities to continue on to PhD study.

Tuition fees

The tuition fees for the 2016/2017 academic year are:

UK and EU full-time fees: £7,210

International full-time fees: £12,380

UK and EU part-time fees: £3,605 per year

International part-time fees: £6,190 per year

Graduation costs -

Graduation is the ceremony to celebrate the achievements of your studies. For graduates in 2015, there is no charge to attend graduation, but you will be required to pay for the rental of your academic gown (approximately £42 per graduate, depending on your award). You may also wish to purchase official photography packages, which range in price from £15 to £200+. Graduation is not compulsory, so if you prefer to have your award sent to you, there is no cost.
For more details, please visit: http://www.solent.ac.uk/studying/graduation/home.aspx

Next steps

Would you like to build on the skills you developed at undergraduate level? Hoping to boost your career prospects? With first-class facilities, an employer led curriculum and an experienced teaching team, Southampton Solent University’s MSc Applied Computing programme is the perfect way to improve your employability and develop advanced computing skills.

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

Course Outline

This programme of study is intended primarily for graduates from a non-computing background to obtain fundamental knowledge and understanding of a range of core subjects in IT and computing. Graduates who successfully complete the programme are eligible for entry into the MSc in Innovative Computing degree programme. The Certificate programme consists of 90 units of credit. Students take 6 taught courses over 6 months. The Certificate programme is more suitable for students with science, engineering or mathematics backgrounds. Computing graduates who have applied to study the MSc in Innovative Computing but lack sufficient knowledge in key areas (such as programming, databases and networking) may be required to take the Certificate programme before being admitted to the MSc programme. The overall aims are to:

- Equip graduates who want to develop their careers in their own areas of speciality with a solid understanding and awareness of IT and computing
- Convert those who want to change their careers into the IT and computing field.

On completing the programme, you will be able to:

- Understand fundamental concepts and principles of computing and information systems
- Develop simple software systems and database applications
- Describe computing technologies and their use in practice
- Exercise critical analysis and evaluation of information systems

The programme will also help you to develop skills in:

- A range of Microsoft application software tools
- Programming in industry standard languages (VB or C++ and Java)
- Database development
- Software system analysis and design
- Individual work and teamwork

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

Teaching Method

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.

After your degree

We have a high graduate employment rate:

- The Higher Education Statistics Agency (HESA) ranked Buckingham top for job prospects with 96.9% (July 2013).
- The Guardian League Table for 2014 ranked Buckingham top in the category of job prospects (June 2013).
- The Complete University Guide reported that the University ranked second for Graduate Prospects (May 2013).

Our graduates have gone on to further study at most of the world’s leading universities, including Harvard, London, Oxford and Cambridge and secured jobs in senior positions around the world. Among our alumni we have a graduate who became the head of his country’s civil service and one who became a leading Formula One motor-racing driver. Another secured a position as the Minister of Sabah and one female law graduate became the first British lawyer to become a French Advocate.

Apply here http://www.buckingham.ac.uk/sciences/pgcertificate/computing.

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The Department of Computer Science at The University of Liverpool is delighted to announce the opportunity for Home and European students to receive industrial sponsorship to cover tuition fees for this programme. Read more
The Department of Computer Science at The University of Liverpool is delighted to announce the opportunity for Home and European students to receive industrial sponsorship to cover tuition fees for this programme. For more information visit our Postgraduate Funding Tool or contact Dr Martin Gairing.

The MSc in Big Data and High Performance Computing provides students with an in-depth understanding of big data analysis and processing using high performance computing technology. Run in conjuction with the STFC Hartree Centre, this MSc programme enables students to gain a specialist qualification in an area of computing that is in great demand worldwide.

Big data is commonly described as data that is so large that it cannot be readily processed using standard techniques. Our current global ability to collect data is such that “big data” sets are becoming common-place.

The most obvious example of this is the exponential growth of the World Wide Web; however there are many public and private enterprises where the analysis of large-scale data sets is critical to growth. Although significant computer power exists, the necessary skills-base is lagging behind the technology.

There is an employment gap looming in the field of big data, especially in the context of the skills required with respect to the application of High Performance Computing (HPC) capabilities to address big data problems.

The MSc in Big Data and High Performance Computing is designed to address this anticipated skills gap and provide those completing the programme with the necessary abilities (abilities which will be highly desirable within the employment market) to address big data centric problems in the context of HPC.

The programme has been designed and operates in close collaboration with the Hartree High Performance Computing Centre and focuses on the practical application of Big Data and HPC technology.

The Hartree centre is underpinned by £37.5 million of Government investment and hosts the UK’s premier supercomputing environment. This partnership provides a unique and unrivalled MSc programme and ensures that students completing the programme have a ready route into employment, facilitated by commercial contacts provided as part of the individual project.

You may also be interested in our Big Data Management MSc, Geographic Data Science MSc and Risk and Uncertainty MSc. For more information visit http://www.liverpool.ac.uk/study/postgraduate

The programme is organised as two taught semesters followed by an individual project undertaken over either the summer or, if desired, during the following year of study. Within each semester students study a number of modules adding up to 60 credits per semester (120 in total). This will be followed by a project dissertation, also 60 credits, making an overall total of 180 credits.

Why Computer Science?

Excellent partnerships

The MSc in Big Data and High Performance Computing programme has been developed, and operates, in close collaboration with the STFC Hartree Centre at Daresbury. The Hartree centre is underpinned by £37.5 million off Government investment and hosts the UKs premier supercomputing environment. The Department of Computer Science at Liverpool provides for a wide range of Big data, HPC and related skills and experience. This partnership means that this programme is unique and unrivalled. The partnership also ensures that students completing the programme have a ready route into employment facilitated by commercial contacts provided as part of the individual project element of the programme, which will in most cases is conducted with respect to real commercial requirements.

State of the art teaching and research

MSc Students who pursue their postgraduate study within the Department of Computer Science at the University of Liverpool will be an integral part of a department that is internationally renowned for its advanced research and teaching. The Department came seventh nationally in the 2008 research assessment exercise.

The Department of Computer Science is organised into four main research groups:

Agents
Algorithmics
Logic and Computation
Economics and Computation
Together these groups provide a critical mass of expertise equal to the most complex challenges in Computer Science, within a setting that offers world-class research facilities and support.

Teaching

You will be taught by lecturers who are internationally known for their research. The MSc in Big Data and High Performance Computing is offered full-time on-campus.

The taught components of the programme offer a choice of contemporary computing topics, a strong theoretical basis and the opportunity to gain sound practical and critical analysis skills. The programme can be taken in the form of a single year (12 months) of study with the individual project being undertaken over the summer months, or alternatively the project can be undertaken in the following academic year.

The computing resources include an extensive integrated network of workstations running the Linux operating system and the X-Windows graphical interface, together with a large number of PCs running Microsoft Windows. Staff and students have easy access to high quality laser printing facilities and a range of specialist software.

Career prospects

The MSc in Big Data and High Performance Computing (HPC) is specifically designed to fill a "skills gap" in the employment market. More specifically it is designed to provide students with the necessary skills to allow them to apply Big Data and HPC concepts to real problems. The programme has been structured to facilitate the practical application of this "cutting-edge" technology to real-world problems. The intention is that at the end of the programme students will be able to apply the knowledge gained on the programme specifically to real-world big data and HPC problems. However, the programme is also designed to furnish students with a set of transferable skills that are of particular relevance across the IT industry.

The programme has been developed, and is delivered, in close collaboration with the Hartree Centre at Daresbury which operates the UK's largest supercomputer (capable of a thousand trillion calculations per second). Hartree have close links with industry, and provide assistance with respect to the group and final individual projects, the latter conducted in partnership with commercial and/or non-commercial organisations.

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