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.
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.
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.
A student following the Advanced Computer Science course chooses two from about a dozen themes, each of which combines around four related course units that build on top of each other. Certain combinations are integrated into specialised pathways
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
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. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.
This programme is CEng accredited and fulfils the educational requirements for registration as a Chartered Engineer when presented with CEng accredited Bachelors programme.
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 inInformation Management .
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.
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.
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
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. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.
Dual accredited for CEng registration, for standard route IEng registration and Sydney Accord recognition.
This course delivers a thorough, methodical and wide-ranging education in communications, signal processing, and microwave engineering. It covers in-depth materials including digital communication, wireless communications, mobile networks, digital signal processing, communication networks, and optical communications. In addition, students can choose between course units that specialise in signal and image processing, or antennas and microwave systems engineering.
The course is aimed at those with prior undergraduate level knowledge on communication and signal processing, wishing to enhance their skills to an advanced level for a rewarding career in related industries. Graduates are also capable to conduct PhD study in world leading research groups and contribute new ideas towards the advancement of technologies.
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
On graduating you will be able to enter directly all areas of the modern communication and signal processing engineering industry, including the fast growing mobile and wireless technology sectors. You will also be prepared to begin PhD research programmes, which may lead to careers in research establishments and universities.
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.
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.
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.
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
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. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.
This programme is CEng accredited and fulfills the educational requirements for registration as a Chartered Engineer when presented with CEng accredited Bachelors programme.
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.
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.
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.
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
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. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.
This programme is CEng accredited and fulfils the educational requirements for registration as a Chartered Engineer when presented with CEng accredited Bachelors programme.
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.
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.
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.
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
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. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.
This programme is CEng accredited and fulfils the educational requirements for registration as a Chartered Engineer when presented with CEng accredited Bachelors programme.
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.
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.
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.
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
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. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.
This programme is CEng accredited and fulfils the educational requirements for registration as a Chartered Engineer when presented with a CEng accredited Bachelors programme.
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.
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.
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.
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
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. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.
This programme is CEng accredited and fulfils the educational requirements for registration as a Chartered Engineer when presented with a CEng accredited Bachelors programme.
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.
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.
The (full time version of the) course lasts 12 months, and starts in September. The students take the following core course units:
- Data Engineering (COMP60711)
- Machine learning and Data Mining (COMP61011)
- Information and knowledge management (BMAN71652)
- IT Governance (COMP60721)
- IS Strategy and Enterprise Systems (BMAN60111)
and one course unit from the following three:
- Decision Behaviour, Analysis and Support (BMAN61102)
- Text mining (COMP61332)
- Optimization for learning, planning and problem-solving (COMP61143).
In addition, students follow Research Methods and Professional Skills (COMP60990), which includes academic and professional literacy, ethics, testing, usability, careers, etc. and work on their MSc project. The project is assessed in two parts, through the Project Progress Report (which counts for 85% of the 30 credits for COMP60990) and the Dissertation (60 credits). To continue towards the project for MSc award, students need to pass the taught component (90 credits).
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
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. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.
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.
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.
Course units are assessed through coursework (50%) and end-of-semester examination (50%). However, flexibility is allowed in the delivery and assessment, allowing methods appropriate for each subject. If a course unit's specific features require it for assessments through 66% coursework and 34% exam, or other distributions.
Further information is available at http://intranet.cs.man.ac.uk/intranet_subweb/postgrad
A student following this programme 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.
This makes up the 60 credits taught part of the course.
The MRes research project is worth 120 credits and consists of the following parts: a taster project (10 credits) plus the research project (110 credits), which can but do not have to be related to the same subject and supervised by the same supervisor. The taster project is assessed via a short report. The research project is assessed in two parts, through the Project Progress Report (30 credits) and the Dissertation (80 credits).
A student who chooses two themes that belong to a given pathway, and whose project is in an area suitable for this pathway (which is determined by the examiners) can choose to graduate with an MRes in Advanced Computer Science with a specialisation in an available themes in their course options.
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
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. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.
