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Full Time Masters Degrees in Computer Science, Manchester, United Kingdom

We have 33 Full Time Masters Degrees in Computer Science, Manchester, United Kingdom

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University of Manchester School of Computer Science
Distance from Manchester: 0 miles
Our MSc in Advanced Computer Science and IT Management is taught in collaboration with Manchester Business School. As such, the programme benefits from the offerings of both schools. Read more
Our MSc in Advanced Computer Science and IT Management is taught in collaboration with Manchester Business School. As such, the programme benefits from the offerings of both schools. Manchester Business School is the largest campus-based business and management school in the UK offering world-leading business education informed by leading edge theory and practice. Similarly, the School of Computer Science is renowned as a world-class centre of excellence in computing teaching and research.

This course is ideal for students who have the desire to drive technology into effective use in business. Information systems are pervasive in every aspect of industry, business and society and therefore there is growing demand for people who have a high level of technical knowledge and are prepared for a leadership role, utilising entrepreneurial and management skills in the solution of business problems. This course is centred around a Management theme, which encompasses relevant MBS course units, and combines it with a choice of complementary Computer Science themes such as Data Management, Software Engineering, and Advanced Web Technologies. The students take modules from 4 theme pools, two in IT Management and two in Computer Science. The course also provides a specialisation in Information Management.

Coursework and assessment

Teaching and assessment take place through small group lectures, supervised laboratory work, mini-projects and independent learning. Course units are assessed by a mixture of written examinations, computer based practical work, and a range of coursework assessments including assessed mini-projects, group projects, reports and essays. The MSc requires a project dissertation to be submitted.

Course unit details

The collaborative nature of the course ensures that students benefit from the offerings of both the School of Computer Science and the Manchester Business Scool. Taught course units can be chosen from the broad range of Advanced Computer Science course units. In addition, there are course units especailly developed by the Manchester Business School covering topics on computing and IT support for strategic analysis and management, strategic change and effective decision making in corporate organisations.

Career opportunities

The MSc in Advanced Computer Science with IT Management has an excellent record of employment for its graduates. They are clearly in demand by the IT industry and related sectors. The following indicates the areas in which our graduates have found work: Associate Consultant Business/IT consultant, Computer Programmer, Business Analyst, Graduate Trainee, IT Consultant, IT Contractor, Internet Developer, Consultant-Programmer analyst, Senior Software Engineer, Software Developer, Support Engineer, Teacher, Technical Consultant.

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

Accrediting organisations

Dual accredited for CEng registration, for standard route IEng registration and Sydney Accord recognition.

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University of Manchester School of Computer Science
Distance from Manchester: 0 miles
The aim of this course is to provide students with a state-of-the-art collection of knowledge, understanding, and skills in the area of Advanced Computer Science. Read more
The aim of this course is to provide students with a state-of-the-art collection of knowledge, understanding, and skills in the area of Advanced Computer Science. This collection aims to be of particular depth so as to provide the student with the relevant knowledge, understanding, and skills to prepare them for a career in Computer Science research. It is designed for students with a good first degree in Computer Science or related areas who wish to deepen their understanding, knowledge, and skills, and aim at a research career in either Industry or Academia.

A student following this course chooses two themes, each consisting of a conceptually coherent set of two course units of 15 credits each, and they take three course units out of these. In addition, they follow three Research Seminars COMP80122, COMP80131, COMP80142 of 5 credits each. This will provide students with the necessary knowledge and skills in Research methodology, ethics and professional issues, as well as communication and presentation skills. As part of COMP80122, students actively participate in the school's annual research symposium, held in reading week between Period 1 and 2.

Teaching and learning

We use a variety of teaching forms, from face-to-face lectures via supervised and unsupervised labs, to self-study elements and supervised projects. Where appropriate, we use blended learning and enquiry based learning.

All our taught course units use coursework as a part of fomative assessment, to deepen and assess both knowledge and understanding and to teach and assess relevant skills.

Facilities

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

Career opportunities

Our Advanced Computer Science courses have an excellent record of employment for its graduates. Opportunities exist in fields as diverse as finance, films and games, pharmaceuticals, healthcare, consumer products, and public services - virtually all areas of business and society. Manchester Advanced Computer Science courses are considered among the best in the country and our graduates are actively targeted for the very top jobs in industry and academia.

The MRes in Advanced Computer Science particularly focuses students to explore further study at research level, or to careers in industrial or academic research and development.

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

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University of Manchester School of Computer Science
Distance from Manchester: 0 miles
This is a high quality course aimed at imparting advanced knowledge across a broad range of Computer Science and offering training in advanced skills. Read more
This is a high quality course aimed at imparting advanced knowledge across a broad range of Computer Science and offering training in advanced skills. It is suitable for those who wish to enhance their computing skills in order to improve their contribution to IT-related industry or to pursue R&D in academia or industry.

A student following the Advanced Computer Science course chooses two from about a dozen themes, each of which combines two related course units that build on top of each other. Certain combinations are integrated into specialised 'pathways' . A student who opts to follow the pathways will have the pathway specialism included in their degree certificate.

Teaching and learning

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

Coursework and assessment

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

Facilities

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

Career opportunities

The MSc in Advanced Computer Science has an excellent record of employment for its graduates. Opportunities exist in fields as diverse as finance, films and games, pharmaceuticals, healthcare, consumer products, and public services - virtually all areas of business and society. Our courses are considered among the best in the country and our graduates are actively targeted for the very top jobs in industry and academia. The MSc is also a route to further study at research level, or to careers in industrial or academic research.

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

Accrediting organisations

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

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This course offers you the opportunity to study advanced aspects of Computer Science within a research-based environment. The school is home to research centres in "Informatics" and "Autonomous Systems and Robotics". Read more
This course offers you the opportunity to study advanced aspects of Computer Science within a research-based environment. The school is home to research centres in "Informatics" and "Autonomous Systems and Robotics". The course provides dedicated modules that will showcase each of these research areas and provide you with an overview of the research themes within each area, along with detailed knowledge of a selected theme. You will have the opportunity to work alongside highly-rated research staff, use the School's world-leading visualisation laboratories and to develop some advanced programming skills.

Key benefits:

• The school is home to research centres in "Informatics" and "Autonomous Systems and Robotics".
• Taught by highly-rated research staff.
• One-year work-placement opportunities.

Visit the website: http://www.salford.ac.uk/pgt-courses/advanced-computer-science

Suitable for

Graduates or professionals wanting to study advanced aspects of computer science within a highly- rated research-based environment. You should have an interest in data mining, pattern recognition, virtual environments or future media.
Applicants should enjoy computer programming and be keen to develop further programming skills.

Format

A variety of delivery methods are adopted to achieve the intended learning outcomes, including lectures, supervised laboratories, group activities in class, assignments and projects. The modules are designed to incorporate hands-on activities with face-to-face support, and are not intended for purely distance learning.

• Lectures
• Tutorials
• Supervised laboratories
• Group activities
• Presentations
• Critical evaluations of case studies
• Assignments
• Examinations
• Project
• Reflective practice

Semester 1

• Advanced Programming
• Mixed Reality Media and Multi-Modal Interfaces

Semester 2

• Semantic Web and Information Extraction
• Advanced Databases

Semester 2

• Project for MSc

Assessment

• Coursework 60%
• Examinations 40%

Career potential

As a graduate from this course you will be well equipped to work in a range of jobs such as system analyst, systems programmer, system administrator or computer analyst. Previous graduates of Computer Science from University of Salford have found employment with companies such as Microsoft, Hewlett-Packard, 3M, Zen Internet, Siemens, Fast Web Media and Amsterdam Internet Exchange.

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

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University of Manchester School of Computer Science
Distance from Manchester: 0 miles
The MPhil consists of one year of research culminating in an MPhil thesis and often leads to a full PhD. As one of the largest Schools of in the UK we cover a huge spectrum of Computer Science topics. Read more
The MPhil consists of one year of research culminating in an MPhil thesis and often leads to a full PhD.

As one of the largest Schools of in the UK we cover a huge spectrum of Computer Science topics. We currently have ten individual research groups ranging from Advanced Processor Technologies to Text Mining. Our core Computer Science research is augmented by interdisciplinary research taking place at the interface with discipline areas including mathematics, physics, medicine and biology.

Aims

The Degree of Master of Philosophy (MPhil) is awarded by the University in recognition of the successful completion of a period of supervised research and training, the results of which show convincing evidence of the capacity of the candidate to pursue research and scholarship and represent original work that is appropriately located by the candidate within a wider field of knowledge and investigation. The results of this research shall then be embodied in a thesis or other appropriate form.

Coursework and assessment

As a research student you would typically work in an office with three/four other researchers from your group. You would be encouraged to present papers at conferences and publish your results in academic journals. We run several research training course-units and you can take course-units on a number of our Masters programmes. Opportunities are also provided to supplement income by undertaking laboratory demonstrating and other teaching support work.

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This course is aimed at Computing graduates who wish to specialise further in Computer Science improving their knowledge, understanding, skills and capabilities. Read more
This course is aimed at Computing graduates who wish to specialise further in Computer Science improving their knowledge, understanding, skills and capabilities. Our postgraduate courses are concerned with vocational education, and it is anticipated that the majority of MSc graduates will either enter employment (or continue) as IT/Computing professionals, or progress to doctoral work with a probable view to pursuing academic or research careers.

You will study four specialist, advanced units including High Performance Computing and Big Data and Advanced Computer Networks and Operating 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.

We are a member of the Oracle Academy and highly rated in terms of research. Our supervision and facilities are also excellent.

Students successfully completing this degree title will:
-Understand concepts and be able to apply appropriate techniques across a broad range of specialist computing subjects
-Be able to carry out a research-informed, practical project involving system construction or experimentation work.

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.
-Classes are concentrated on certain days of the week to facilitate part-time students’ attendance and allow full-time students to undertake part-time employment if necessary.
-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 work for their projects while working in organisations which have offered placement opportunities.

About the Course

Wide-ranging course units combine with a flexible approach which allows students to undertake practical project work while attending work placements. With one-third of the course project-based, it may be possible to undertake yours in collaboration with an external organisation or within the School. The part-time route is especially suitable if you have industrial experience and wish to update your knowledge. Especially useful in the case of missed classes, the online virutal learning environment, Moodle, provides extensive access to lectures, course materials and assessment information.

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University of Manchester School of Computer Science
Distance from Manchester: 0 miles
Computer Systems Engineering is a well-established branch of Computer Science, closely related to Electrical Engineering, and concerned with software-hardware integration and the development of high-performance and energy-efficient embedded systems, for example as used in mobile computing. Read more
Computer Systems Engineering is a well-established branch of Computer Science, closely related to Electrical Engineering, and concerned with software-hardware integration and the development of high-performance and energy-efficient embedded systems, for example as used in mobile computing. Aspects covered include questions such as how software can be designed to make use of new, ever more powerful (and often multicore) hardware, or how hardware can be designed to support certain software paradigms. The School of Computer Science is home to internationally renowned research groups working on these challenging tasks, and students following the Computer Systems Engineering pathway will have the opportunity to profit from their understanding of current technology and visions of how to exploit, for example, the formidable complexity of the billion transistor microchips that semiconductor technology will make commonplace over the next decade.

This pathway combines two themes, namely the Parallel Computing in the Mulit-core Era theme and the Mobile Computing theme. The former provides the student with techniques and tools to successfully develop concurrent multicore systems, while alleviating problems of correctness, reliability, performance and system management. The latter provides the student with an understanding of the current state of the art in computing to support mobility for telecommunications.

Teaching and learning

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

Coursework and assessment

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

Facilities

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

Career opportunities

The MSc in Advanced Computer Science has an excellent record of employment for its graduates. Opportunities exist in fields as diverse as finance, films and games, pharmaceuticals, healthcare, consumer products, and public services - virtually all areas of business and society. Manchester Computer Science MSc courses are considered among the best in the country and our graduates are actively targeted for the very top jobs in industry and academia.

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

Accrediting organisations

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

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University of Manchester School of Computer Science
Distance from Manchester: 0 miles
In the past twenty years, the Web has transformed society and changed the way we work, trade, learn, do science, organise our lives, and play. Read more
In the past twenty years, the Web has transformed society and changed the way we work, trade, learn, do science, organise our lives, and play. The Web is, on the one hand, a network of interlinked computers, protocols, and software and, on the other hand, a socio-cultural phenomenon that influences law, the media, business, science, etc. To shape and work with the current and future forms of the Web, we need to understand its underlying design principles and concepts, relevant issues and techniques, and how these interact and influence each other. The fast changing nature of the Web means that such a deep understanding is essential to understand the latest developments and their potential.

The Advanced Web Technologies pathway is centred around a core theme of the same name, Advanced Web Technologies, and combines it with a choice of closely related yet complimentary themes, including Software Engineering 1 & 2, Making Sense of Complex Data, and Learning from Data. Students following this theme will gain an understanding and insight into the technologies that deliver the Web as we see it today. The topics covered include underlying languages and standards used to represent information on the web; techniques for understanding and managing data and information in a web context; and techniques and technology used to design and deliver web infrastructure.

Teaching and learning

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

Facilities

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

Career opportunities

Students following the Advanced Web Technologies pathway have all the career choices and options as described for general Advanced Computer Science.

In addition, students of this pathway are ideally placed to work in positions requiring an understanding of modern Wed infrastructure, ranging from the obvious Web developers and system providers to basically all companies employing or developing Web technologies.

We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.

Accrediting organisations

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

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University of Manchester School of Computer Science
Distance from Manchester: 0 miles
Artificial Intelligence is a well-established, exciting branch of computer science concerned with methods to make computers, or machines in general, intelligent… Read more
Artificial Intelligence is a well-established, exciting branch of computer science concerned with methods to make computers, or machines in general, intelligent - so that they are able to learn from experience, to derive implicit knowledge from the one given explicitly, to understand natural languages such as English, Arabic, or Urdu, to determine the content of images, to work collaboratively together, etc. The techniques used in AI are as diverse as the problems tackled: they range from classical logic to statistical approaches to simulate brains.

This pathway reflects the diversity of AI in that it freely combines a number of themes related to AI techniques, namely Making Sense of Complex Data, Learning from Data, Reasoning and Optimisation, and Advanced Web Technologies.

Course description

Artificial Intelligence is a well-established, exciting branch of computer science concerned with methods to make computers, or machines in general, intelligent - so that they are able to learn from experience, to derive implicit knowledge from the one given explicitly, to understand natural languages such as English, Arabic, or Urdu, to determine the content of images, to work collaboratively together, etc. The techniques used in AI are as diverse as the problems tackled: they range from classical logic to statistical approaches to simulate brains.

This pathway reflects the diversity of AI in that it freely combines a number of themes related to AI techniques, namely Making Sense of Complex Data, Learning from Data, Reasoning and Optimisation, and Advanced Web Technologies.

Teaching and learning

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

Coursework and assessment

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

Facilities

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

Read less
University of Manchester School of Computer Science
Distance from Manchester: 0 miles
Individuals, governments and organizations now routinely connect their computers to the Internet to communicate, provide services, and access massive stores of shared information. Read more
Individuals, governments and organizations now routinely connect their computers to the Internet to communicate, provide services, and access massive stores of shared information. These on-line activities, many conducted beyond national boundaries, have opened up enormous opportunities for security attacks such as identity thefts, computer hackings, privacy breaches, technical sabotages, etc. Addressing security threats and attacks in this vast and complex distributed environment is an immensely challenging task.

The Computer Security pathway is centred round a core Security theme that introduces students to fundamental security topics that arise in the design, analysis, and implementation of networked and distributed systems. Subsidiary themes allow students to investigate broader areas in which they may apply their newly acquired skills. The pathway is designed for students who wish to specialize in the security aspect of the Information Technology field.

Teaching and learning

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

Coursework and assessment

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

Facilities

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

Career opportunities

The MSc in Advanced Computer Science has an excellent record of employment for its graduates. Opportunities exist in fields as diverse as finance, films and games, pharmaceuticals, healthcare, consumer products, and public services - virtually all areas of business and society. Manchester Computer Science MSc courses are considered among the best in the country and our graduates are actively targeted for the very top jobs in industry and academia.

Security plays a role in almost all areas where computers are being used, including, for example, finance, healthcare, consumer products, and public services. Thus students who have followed the Computer Security pathway will be ideally placed in any of these areas, especially in positions where they need to be aware of security issues and solutions.

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

Accrediting organisations

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

Read less
University of Manchester School of Computer Science
Distance from Manchester: 0 miles
Software Engineering is a well-established, central part of Computer Science, and concerned with the design and use of techniques to support humans to build… Read more
Software Engineering is a well-established, central part of Computer Science, and concerned with the design and use of techniques to support humans to build software systems that are reliable, adaptable, usable, maintainable, etc, despite the fact that they are usually developed by large groups of people with different ideas, conceptualisations, or working styles, and against a tight schedule and possibly conflicting or unclear requirements. The understanding and mastering of these techniques is essential both for people who are part of this group and for those managing such a group or project.

The Software Engineering pathway combines two themes of the same name, Software Engineering 1 & 2. These themes covers both an overview of existing approaches to Software Engineering, and two particular approaches at the forefront of Software Engineering research and practice; Pattern-based and Component-based Software Development.

Teaching and learning

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

Coursework and assessment

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

Facilities

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

Career opportunities

Students following the Software Engineering pathway have all the career choices and options as described for general Advanced Computer Science.

In addition, students of this pathway are ideally placed to work in positions requiring an understanding of modern Software Engineering techniques and tools. This includes the obvious positions in the games industry, but also positions in finance, commerce, software project management, etc.

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

Accrediting organisations

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

Read less
University of Manchester School of Computer Science
Distance from Manchester: 0 miles
The Information management pathway addresses both the technical challenges of information capture and usage from big data, and the need for its effective and efficient management and analysis within business, scientific, educational, entertainment and organisational contexts. Read more
The Information management pathway addresses both the technical challenges of information capture and usage from big data, and the need for its effective and efficient management and analysis within business, scientific, educational, entertainment and organisational contexts. This MSc pathway will examine the entire information management life cycle, including data strategy, management, design and warehousing, data analytics and information governance. In addition to the need to work with huge volumes of data, the pathway will also address multi-modality, including un- and semi-structured data, image and video data, spatial and temporal data, etc.

The pathway consists of two (compulsory) units from the Data Engineering and IT governance ACS theme, three additional compulsory units on various aspects of information management, and one optional unit covering various application areas (such as decision support, text mining, optimisation).

The pathway is taught in collaboration with Manchester Business School (MBS). As such, the programme benefits from the offerings of both schools. MBS is the largest campus-based business and management school in the UK offering world-leading business education informed by leading edge theory and practice. Similarly, the School of Computer Science is renowned as a world-class centre of excellence in computing teaching and research.

Special features

IBM has announced that Prof. John Keane from the School of Computer Science at The University of Manchester is one of the winners of its2013 Big Data and Analytics Faculty Awards. He joins 13 other researchers from around the world who will bring together their innovative research for the benefit of curricular development. The award will support technical case studies investigating the design and implementation of big data problems to enhance the postgraduate module in Data Engineering which is central to the Information Management pathway of the Advanced Computer Science and IT management MSc at Manchester.

Career opportunities

IBM is supportive of the Information Management pathway. The programme fits with some of IBM's core business objectives and also that of some of our clients. (Martyn Spink, University of Manchester Relationship Manager, IBM UK Limited).

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

Read less
University of Manchester School of Computer Science
Distance from Manchester: 0 miles
Efficient management of data and knowledge are key factors not only to the success of almost any enterprise, but also to the successful handling of today's vast amounts of science related data. Read more
Efficient management of data and knowledge are key factors not only to the success of almost any enterprise, but also to the successful handling of today's vast amounts of science related data: with the transition to the information age and the knowledge economy, data has become both increasingly central and critical to all activities. For example, imagine the huge amounts of genomic or patient data available electronically, and how the quality of their management can affect society.

The Data and Knowledge Management pathway allows students to take specialist themes concerned with methods and technologies for the adequate management of data and knowledge. The Managing Data theme focuses on the design, maintenance, and query processing of both structured and unstructured databases. The Learning from Data theme covers principles, algorithms, and technologies underlying machine learning, probabilistic modelling, and optimisation, while exposing students to relevant applications. The Advanced Web Technologies theme provides students with a deep understanding of the technologies that are being used to support the continuing evolution of the Web, including Semantic Web technologies.

Teaching and learning

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

Coursework and assessment

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

Facilities

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

Career opportunities

Students following the Data and Knowlege Management pathway have all the career choices and options as described for general Advanced Computer Science.

In addition, students of this pathway are ideally placed to work in positions requiring an understanding of modern data and knowledge management tools and technologies. This includes data and knowledge engineering positions in all areas where data is stored and managed electronically, i.e., in all areas, including the finance, retail, and healthcare sector.

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

Accrediting organisations

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

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University of Manchester School of Computer Science
Distance from Manchester: 0 miles
Semantic Technologies is a relatively new term that describes all areas concerned with using and developing software and methodologies for meaning-centred manipulation of information. Read more
Semantic Technologies is a relatively new term that describes all areas concerned with using and developing software and methodologies for meaning-centred manipulation of information. The aim is to provide software and methodologies so that web resources, data in databases and raw data associated with programs can be processed and manipulated in a more intelligent way. This requires storing, understanding, manipulating and reasoning about the meaning of the data. Semantic technologies are increasingly being used in such varied applications as the semantic web, health care and biomedical domains, the life sciences, software/hardware industries and the automotive industry.

The Semantic Technologies pathway combines themes such as 'Data on the Web' with 'Ontology Engineering and Automated Reasoning'. These core offerings can be combined with any other theme. Good complementary themes are Data Engineering, Managing Data, Learning from Data, Security and Software Engineering.

Teaching and learning

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

Coursework and assessment

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

Facilities

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

Career opportunities

Students following the Semantic Technologies pathway have all the career choices and options as described for general Advanced Computer Science.

In addition, students of this pathway are ideally placed to work in software companies or for healthcare providers who are using or developing Semantic Technologies.

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

Accrediting organisations

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

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University of Manchester School of Computer Science
Distance from Manchester: 0 miles
Microprocessor manufacturers have recently presented the software industry with its most serious challenge ever, by switching from serial execution architectures clocked at ever-increasing clock rates to ever-more parallel multi-core architectures clocked at a constant (or even decreasing) clock rate. Read more
Microprocessor manufacturers have recently presented the software industry with its most serious challenge ever, by switching from serial execution architectures clocked at ever-increasing clock rates to ever-more parallel multi-core architectures clocked at a constant (or even decreasing) clock rate. The consequences will be profound because parallel computational activities will need to be handled as the norm, rather than the exception; programmers of the future will need skills that are currently possessed by very few, due to the inherent complexities of parallel systems.

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

Teaching and learning

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

Coursework and assessment

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

Facilities

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

Career opportunities

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

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

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

Accrediting organisations

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

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