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Computer Science×

Manchester Metropolitan University, Full Time MSc Degrees in Computer Science

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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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This course is suitable for numerate graduates across many disciplines. Non-computing graduates are eligible. You will learn how to use state-of-the-art computer science methods to process a range of data, including (but not limited to) big data. Read more
This course is suitable for numerate graduates across many disciplines. Non-computing graduates are eligible.

You will learn how to use state-of-the-art computer science methods to process a range of data, including (but not limited to) big data. You will develop technical, statistical, analytical and data mining skills. The course incorporates methods of statistical analysis and data mining to extract understanding from data, formulate high-quality data models and interpret them to ‘tell a story’. You will learn how to communicate these effectively to stakeholders, bearing in mind ethical, legal and societal implications.

You will be introduced to data science concepts, techniques and algorithms for processing and visualising datasets so as to infer useful, actionable knowledge.

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

The School has an extensive range of equipment in our own specialist laboratories which are supported by a dedicated team of technical staff, including GPU clusters to support big data processing.

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.

Your individual project will investigate a challenging but constrained data science problem. The project will involve performing an end-to-end science task pipeline including data collection, formulation of one or more questions to be asked about the data, typical preprocessing steps, for example, cleaning, transforming and exploring, analysis, applicable learning methods, modelling, visualisation, interpretation and assessment of models.

Assessment details

Assessment will be through coursework, examination and dissertation.

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The course aims to provide students with the skills to design, implement and manage computer-based systems security, using software and networking technologies. Read more
The course aims to provide students with the skills to design, implement and manage computer-based systems security, using software and networking technologies. This title also includes the basic, key elements of forensic computing: forensics and the legal and ethical issues involved in any digital investigation.

Students will gain a broad understanding of the different levels of computer and network security together with the basic phases of a forensic investigation and of computing in general. They will examine wireless communication systems; networks; operating systems and interfacing socket programming; servers and their security implications; and the planning and implementation of network security management, including security, risk analysis and disaster recovery planning.

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.

About the Course

You will study advanced topics in computer networks and operating systems, focusing on principles, architectures and protocols used in modern large scale networked systems.

Cryptography and encryption studies cover classical cryptography, key encryption algorithms, how to code algorithms and their variants in a modern programming language and implement cryptosystems over a computer network.

You will develop skills to design and implement advanced security mechanisms in a network environment, considering in depth wired and wireless network security and the best practice in the field.

All 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 Masters project will involve practical system creation or experimentation work. Where appropriate, the implementation or experimentation may be work-based.

Assessment details

Assessment will be through coursework, examination and dissertation.

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This conversion course is aimed at graduates from a non-computing discipline. Information Systems is concerned with software (and to a lesser extent hardware) that gathers, stores, processes and manages data and communications within an organisation and is at the heart of any large scale enterprise. Read more
This conversion course is aimed at graduates from a non-computing discipline.

Information Systems is concerned with software (and to a lesser extent hardware) that gathers, stores, processes and manages data and communications within an organisation and is at the heart of any large scale enterprise. The key areas of study are databases, object oriented programming, systems analysis, networks, digital media systems and information systems management and strategy. The course is designed to enable a career change to Information Systems or update and broaden knowledge and skills if you are already working in the field.

A third of your MSc will consist of a solo Information Systems project with individual supervision normally in a non-technical area. This is supported by a series of seminars/workshops, but the emphasis is on student-centred learning and recognises expectations about student autonomy, typical of postgraduate level and also is part of the strategy to enhance your employability through the development of confidence, self-awareness and self-sufficiency. It is possible to switch between MSc Information Systems and MSc Computing as you develop your areas of specialism and own interests in this exciting field.

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.

About the Course

Supported by a dedicated team of technical staff, the School of Computing, Maths and Digital Technology has excellent computing facilities including specialist Mac and PC laboratories with industry standard software and a state-of-the-art computer usability lab. Research in the school was rated highly in the most recent Research Excellence Framework (REF), with some of our research rated as world leading.

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

A range of optional specialist units adds to this versatile Information Systems qualification. Units may vary from year to year, reflecting the rapidly-changing IT industry. The project is non-technical.

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. Especially useful in the case of missed classes, the online virtual learning environment using Moodle provides extensive access to lectures, course materials and assessment information.

Assessment details

Assessment will be through coursework, examination and dissertation.

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

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

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

Features and benefits of the course

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

Placement options

Some students undertake practical project work while attending work placements.

About the Course

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

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

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

Assessment details

Assessment will be through coursework, examination and dissertation.

Read less
This course is suitable for numerate graduates across many disciplines. Non-computing graduates are eligible. This course provides students with the ability to solve business problems and obtain actionable business insight using analytics. Read more
This course is suitable for numerate graduates across many disciplines. Non-computing graduates are eligible.

This course provides students with the ability to solve business problems and obtain actionable business insight using analytics. The focus of data analytics is on the movement, analysis and interpretation of data and how derived advanced information can inform business strategy. The programme will firstly, prepare students to work with a variety of complex, structured and unstructured data in the business environment, using appropriate statistical and computational skills and technologies. Secondly, it will enable them to articulate insights confidently when presenting reports and visualizations.

Driven by market demands Data Analytics focuses on the movement and interpretation of data, typically with a focus on the past and present in the business context, Data analytics graduates will develop skills to apply qualitative and quantitative techniques and processes used to enhance productivity and business gain.

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

Business intelligence plays a key role in the strategic planning process and overall success of an organisation. You will learn how to use commercial statistical software to analyse and interpret real-life business data.

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.

Read less
In today's organisations, technology is a business-critical resource integrated into the fabric of business operations. There is a growing recognition that businesses need to leverage big data in order to maximise competitive opportunities. Read more
In today's organisations, technology is a business-critical resource integrated into the fabric of business operations. There is a growing recognition that businesses need to leverage big data in order to maximise competitive opportunities. This programme focuses on both of these elements in preparing you to achieve a balanced combination of technical competence coupled with an understanding of business intelligence.

The programme will allow you to develop the acumen necessary to identify opportunities for the organisation through understanding data, as well as the ability to build a case for exploiting and deploying technological solutions.

The familiarisation of information technology for analytics will develop your appreciation of how these can be integrated into business operations. This course is taught by experienced tutors with real world consultancy and research expertise in the field of digital business.

During your studies, you will have the opportunity to participate in:
-Industry visits to real companies
-Short term internships with local employers
-A live consultancy project for your final dissertation

An MSc in Business Analytics will help you get the skills and knowledge you need to secure a graduate job in specialist roles such as consultant, data analyst, manager or business analyst.

Open to graduates holding degrees in any subject, this course assumes no prior knowledge of business or management and is suitable for UK, EU and international students wishing to progress their academic knowledge of business analytics and business intelligence. It is also suitable for those who do not have a degree but possess relevant experience.

Features and benefits of the course

-You will be taught in the multi-award-winning Business School on All Saints Campus.
-Extensive use of the University's online virtual learning portal (Moodle) to provide additional learning materials, communication and also as an aid to discussions.

Postgraduate internship programme

Employers look favourably on candidates who can demonstrate relevant and practical work experience. All Masters students at the Business School are encouraged to undertake an optional, short-term internship with a real business in order to develop relevant experience relating to their studies.

The Postgraduate Internship Programme is an optional unit which allows you to gain up to fourteen weeks of work experience in a business environment; putting your studies into practical application, at the same time as gaining practice credits, which are recorded on your degree qualification transcript.

A dedicated Placement and Project Coordinator will guide you through this process, by sourcing and advertising suitable roles throughout the year, offering 1-2-1 application advice, and supporting you to make speculative applications to source your own Internships.

Internships can be part-time or full-time but must fit around your scheduled classes.

About the Course

Our postgraduate programmes aim to combine academic knowledge from leading research in the area with the professional skills that employers are seeking.

The Faculty is home to the Centre for Business and Society, which brings together a number of synergistic research centres and knowledge clusters and our doctoral school of PhD researchers who work with teaching staff on the design of the programme.

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