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Full Time MSc Degrees in Computer Science, Liverpool, United Kingdom

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Liverpool Hope University Faculty of Science
Distance from Liverpool: 0 miles
* Subject to validation, 2017 entry. Liverpool Hope’s MSc Computer Science is a research-informed, academically rigorous course and is designed to provide a flexible, purposeful and challenging set of coherent courses to meet scientific, industrial and employment challenges in this fast-evolving technological area. Read more
* Subject to validation, 2017 entry

Liverpool Hope’s MSc Computer Science is a research-informed, academically rigorous course and is designed to provide a flexible, purposeful and challenging set of coherent courses to meet scientific, industrial and employment challenges in this fast-evolving technological area. Graduates will have developed scientific and analytical skills which are highly valued in the computing, engineering, IT and business industries.

The course offers a mix of compulsory and elective courses, and a research dissertation, so you can focus your skill base and your potential career direction.

The course has been designed with employability in mind, whether it is within IT industry or as a function of other sectors, scientific computing and technical skills are in great demand and therefore highly valued. There are opportunities for placements and enterprise development.

Curriculum

The MSc Computer Science combines academic and practical course, consisting of eight taught courses (four compulsory and four elective) and a dissertation (final research project).

The Compulsory courses are:

· Computational Modelling and Simulation

· Algorithms

· Innovations in Computer Science

· Research Methods for Computer Science

· Dissertation for MSc Computer Science

Elective courses include:

· Embedded Systems and Robotics

· Cloud Computing and Web Services

· Mobile and Ubiquitous Computing

· Human Computer Interaction

· E-Business

Course Descriptions

· Computational Modelling and Simulation (compulsory – 15 credits): This course develops understanding and knowledge of the principles, techniques and design of computational modelling and their applications.

· Algorithms (compulsory - 15 credits): This course gives a firm grounding in the philosophy and evolution of algorithmic design and analysis for computer science, engineering and information systems.

· Innovations in Computer Science (compulsory - 15 credits): You will examine the particular research interests of Computer Science Department.

· Research Methods for Computer Science (compulsory - 15 credits): The course will expose you to the established techniques of research and enquiry that are used to extend, create and interpret knowledge in computer science

· Embedded Systems and Robotics (elective - 15 credits): This course will examine the Robotics Operating System and robotic programming languages, such as Urbi.

· Cloud Computing and Web Services (elective - 15 credits): You will study the concepts behind the idea of cloud computing and web services and gain practical knowledge of Azure, the .Net framework and C#.

· Mobile and Ubiquitous Computing (elective - 15 credits): You will examine mobile phone OSs (Android) and Windows Phone 7. You will learn how to develop software for these devices using JavaFX and C#/Silverlight.

· Human Computer Interaction (elective - 15 credits): Human computer interaction (HCI) is the study of interaction between people and computers and is the most multi-disciplinary module available in the MSc Computer Science.

·
* E-Business (elective - 15 credits): E-business encompasses, and is more than, e-commerce. You will examine e-commerce technology, such as the internet and web-based technologies.

· Dissertation for MSc Computer Science (compulsory - 60 credits): This module will allow the students to develop a Masters level research project with the support of an academic supervisor.

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University of Liverpool Department of Computer Science
Distance from Liverpool: 0 miles
This MSc in Computer Science is suitable foryou if you don’t have a first degree in Computer Science and wish to supplement the knowledge acquired in your undergraduate study with a substantial element of computer science. Read more
This MSc in Computer Science is suitable foryou if you don’t have a first degree in Computer Science and wish to supplement the knowledge acquired in your undergraduate study with a substantial element of computer science.

The programme leads to a wide range of careers in the IT industry; in many cases students seek employment at the interface of the IT domain and the subject matter of their first degree.

Computer Science at the University of Liverpool is research-driven and internationally renowned for its cutting-edge work. Our lecturers are international leaders in their research specialities, coming first in the UK for research excellence at 3* and 4* (REF 2014).

The four main research groups: Agents; Algorithmics; Logic and Computation; and Economics and Computation provide a critical mass of expertise, strong group support and collaboration.

MSc research projects offer the opportunity to contribute to, and shape, cutting-edge research and innovative technologies of the future.

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

Why Computer Science?

Exceptional facilities and equipment

Following a recent refurbishment, our labs provide extensive state-of-the-art facilities including well equipped electrical and computing laboratories and specialist sections for research activities, as well as technical staff on hand to help and offer expert advice and support. The postgraduate labs incorporate the latest research facilities and instrumentation.

Postgraduate taught programmes

The taught components of our on campus MScs cover a range of contemporary computing topics and provide you with a strong theoretical basis, as well as develop critical analysis and practical skills.

We are also market leaders in the design, development and delivery of online Computer Science MScs. Our pioneering activities in this area offer flexible learning opportunities and group support via virtual classrooms.

Career prospects

Here are some of the fields in which our MSc graduates are now working:-

Network systems and data communications analysis
Computer software engineering (both applications and systems software)
Network and computer systems administration
Database administration.

Read less
University of Liverpool Department of Computer Science
Distance from Liverpool: 0 miles
This one-year full time programme, formerly MSc in Computation and Game Theory, is intended for you if you already have a first degree in Computer Science, or in Economics, or a closely related subject. Read more
This one-year full time programme, formerly MSc in Computation and Game Theory, is intended for you if you already have a first degree in Computer Science, or in Economics, or a closely related subject.

The programme is suitable for you if you wish to extend your knowledge with more advanced specialised material reflecting current research at the cutting edge of the discipline of Algorithmic Game Theory, which lies at the intersection of economics and computer science.

It is a novel and unique programme, the first of its kind in Europe, offering a range of modern topics that range from optimisation and computational game theory to network games, and modern applications in electronic commerce, such as Google sponsored search auctions.

It is offered by the Computer Science Department, with contributions from the University of Liverpool Management School.

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

Why Computer Science?

Exceptional facilities and equipment

Following a recent refurbishment, our labs provide extensive state-of-the-art facilities including well equipped electrical and computing laboratories and specialist sections for research activities, as well as technical staff on hand to help and offer expert advice and support. The postgraduate labs incorporate the latest research facilities and instrumentation.

Postgraduate taught programmes

The taught components of our on campus MScs cover a range of contemporary computing topics and provide you with a strong theoretical basis, as well as develop critical analysis and practical skills.

We are also market leaders in the design, development and delivery of online Computer Science MScs. Our pioneering activities in this area offer flexible learning opportunities and group support via virtual classrooms.

Career prospects

Here are some of the fields in which our MSc graduates are now working:-

Network systems and data communications analysis
Computer software engineering (both applications and systems software)
Network and computer systems administration
Database administration.

Read less
University of Liverpool Department of Computer Science
Distance from Liverpool: 0 miles
To meet the increasing demand for MSc students to have industry experience, we have introduced this new two-year MSc programme. Read more
To meet the increasing demand for MSc students to have industry experience, we have introduced this new two-year MSc programme. Designed for graduates of the highest calibre the MSc will develop advanced knowledge and skills and give you the opportunity to put your knowledge into practice through valuable work experience during a one year industrial placement.

The Advanced Computer Science with Internet Economics MSc is intended for you if you already have a first degree in Computer Science, or in Economics, or a closely related subject.

The programme is suitable for you if you wish to extend your knowledge with more advanced specialised material reflecting current research at the cutting edge of the discipline of Algorithmic Game Theory, which lies at the intersection of economics and computer science.

It is a novel and unique programme, the first of its kind in Europe, offering a range of modern topics that range from optimisation and computational game theory to network games, and modern applications in electronic commerce, such as Google sponsored search auctions.

It is offered by the Computer Science Department, with contributions from the University of Liverpool Management School.

The two-year MSc programme shares the same taught modules with its one-year equivalent. However, unlike the one-year MSc which includes an MSc project over the summer, the two-year programme includes an industrial project and placement in year two (either in the UK or overseas). The placement is typically 30 weeks from September to June.

This opportunity to work in industry will help you strengthen your career options by:

Undertaking the project work in an industrial setting
Applying theory learnt in the classroom to real-world practice
Developing communications and interpersonal skills Building networks and knowledge which will be invaluable throughout your career.
During the placement year you will spend time working in a relevant company suitable for the MSc. This is an excellent opportunity to gain practical engineering experience which will boost your CV, build networks and develop confidence in a working environment. Many placement students continue their relationship with the placement provider by undertaking relevant projects and may ultimately return to work for the company when they graduate.

The University of Liverpool has a dedicated team to help students find a suitable placement. Preparation for the placement is provided by the University’s Careers and Employability Service (CES) who assist students in finding a placement, help students produce a professional CV and prepare students for placement interviews.

The University has very good links with industry and several companies work with us to offer our MSc students competitive placements. Although industry placements are not guaranteed, the University offers you opportunities and support throughout the process to ensure that the chance to find a placement is high.

If you are unable to secure a suitable placement by the end of April during year one, you will be transferred onto the one-year MSc to undertake the MSc project over the summer and graduate after one year.

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

Read less
University of Liverpool Department of Computer Science
Distance from Liverpool: 0 miles
The MSc in Advanced Computer Science is intended for graduates who already have a first degree in Computer Science or a closely related subject, and who wish to extend the knowledge gained in their undergraduate study with more advanced specialised material reflecting current research at the “cutting-edge” of the discipline. Read more
The MSc in Advanced Computer Science is intended for graduates who already have a first degree in Computer Science or a closely related subject, and who wish to extend the knowledge gained in their undergraduate study with more advanced specialised material reflecting current research at the “cutting-edge” of the discipline.

The programme comprises a sequence of modules focussing on the research strengths of the department. The programme is directed at careers in the IT industry that require a degree of research and development. This programme is accredited by the British Computer Society as follows

CITP (Chartered IT Professional) with Further Learning Elements
Partial CSci accreditation
Partial CEng accreditation

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

Why Computer Science?

Exceptional facilities and equipment

Following a recent refurbishment, our labs provide extensive state-of-the-art facilities including well equipped electrical and computing laboratories and specialist sections for research activities, as well as technical staff on hand to help and offer expert advice and support. The postgraduate labs incorporate the latest research facilities and instrumentation.

Postgraduate taught programmes

The taught components of our on campus MScs cover a range of contemporary computing topics and provide you with a strong theoretical basis, as well as develop critical analysis and practical skills.

We are also market leaders in the design, development and delivery of online Computer Science MScs. Our pioneering activities in this area offer flexible learning opportunities and group support via virtual classrooms.

Career prospects

Here are some of the fields in which our MSc graduates are now working:-

Network systems and data communications analysis
Computer software engineering (both applications and systems software)
Network and computer systems administration
Database administration.

Read less
You will study cutting-edge developments in computing solutions on this Masters degree at Liverpool John Moores University. You will learn how to critically evaluate algorithms and tools plus how to design innovative software solutions. Read more
You will study cutting-edge developments in computing solutions on this Masters degree at Liverpool John Moores University. You will learn how to critically evaluate algorithms and tools plus how to design innovative software solutions.

•Course available to study full time (1 year)
•Delivered by academics active in research
•Opportunity to carry out research project in an area of your choice
•High-quality teaching and excellent learning resources
•£6 million state-of-the-art laboratories and teaching facilities
•Excellent career prospects in areas such as Systems Design
•Curriculum informed by ongoing research and links with employers

This MSc Programme in Computer Science will provide you with the skills and knowledge to be able to respond and adapt to new technologies and new ideas.

The course aims to provide you with a fuller, systematic understanding of current and developing computer science and help you to:
•explore the issues surrounding Computer Science in Industrial contexts
•develop expertise in the areas of computer science that you are interested in
•become an advanced, autonomous learner
•develop a comprehensive understanding, critical awareness and ability to conduct evaluation of current research issues
•work with originality in applying analytical, creative, problem solving and research skills
•gain awareness of the advanced, conceptual understanding, underpinning career development, innovation and further study for PhD

Please see guidance below on core and option modules for further information on what you will study.
Level 7
Project Dissertation
Research Methods
Advanced Data Structures and Algorithms
Research Topics in Computer Science
Computation Theory
Information and Social Networks
Advanced Software Engineering Concepts
Software Development with JAVA
Computer Forensics
Computer Security
A major component of the course is the project module. This is an extensive piece of research work in an applications domain relevant to your academic or professional interests.

It is intended to provide you with an opportunity to undertake a major investigation and produce a major dissertation on the outcome of the work.

Assessment of the project will be based on this dissertation and presentations of the work. The work carried out during the project is expected to have a strong research component and will, in many cases, be appropriate in forming the basis of further academic research - for example a PhD programme.

Further guidance on modules

The information listed in the section entitled ‘What you will study’ is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal Academic Framework review, so may be subject to change. Students will be required to undertake modules that the University designates as core and will have a choice of designated option modules. Additionally, option modules may be offered subject to meeting minimum student numbers.

Academic Framework reviews are conducted by LJMU from time to time to ensure that academic standards continue to be maintained. A review is currently in progress and will be operational for the academic year 2016/2017. Final details of this programme’s designated core and option modules will be made available on LJMU’s website as soon as possible and prior to formal enrolment for the academic year 2016/2017.

Please email if you require further guidance or clarification

Read less
University of Liverpool Department of Computer Science
Distance from Liverpool: 0 miles
To meet the increasing demand for MSc students to have industry experience, we have introduced this new two-year MSc programme. Read more
To meet the increasing demand for MSc students to have industry experience, we have introduced this new two-year MSc programme. Designed for graduates of the highest calibre the MSc will develop advanced knowledge and skills and give you the opportunity to put your knowledge into practice through valuable work experience during a one year industrial placement.

The MSc in Advanced Computer Science is intended for graduates who already have a first degree in Computer Science or a closely related subject, and who wish to extend the knowledge gained in their undergraduate study with more advanced specialised material reflecting current research at the “cutting-edge” of the discipline.

This programme is accredited by the British Computer Society as follows:

CITP (Chartered IT Professional) with Further Learning Elements
Partial CSci accreditation
Partial CEng accreditation
The two-year MSc programme shares the same taught modules with its one-year equivalent. However, unlike the one-year MSc which includes an MSc project over the summer, the two-year programme includes an industrial project and placement in year two (either in the UK or overseas). The placement is typically 30 weeks from September to June.

This opportunity to work in industry will help you strengthen your career options by:

Undertaking the project work in an industrial setting
Applying theory learnt in the classroom to real-world practice
Developing communications and interpersonal skills Building networks and knowledge which will be invaluable throughout your career.
During the placement year you will spend time working in a relevant company suitable for the MSc. This is an excellent opportunity to gain practical engineering experience which will boost your CV, build networks and develop confidence in a working environment. Many placement students continue their relationship with the placement provider by undertaking relevant projects and may ultimately return to work for the company when they graduate.

The University of Liverpool has a dedicated team to help students find a suitable placement. Preparation for the placement is provided by the University’s Careers and Employability Service (CES) who assist students in finding a placement, help students produce a professional CV and prepare students for placement interviews.

The University has very good links with industry and several companies work with us to offer our MSc students competitive placements. Although industry placements are not guaranteed, the University offers you opportunities and support throughout the process to ensure that the chance to find a placement is high.

If you are unable to secure a suitable placement by the end of April during year one, you will be transferred onto the one-year MSc to undertake the MSc project over the summer and graduate after one year.

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

Read less
University of Liverpool Department of Computer Science
Distance from Liverpool: 0 miles
The Department of Computer Science at The University of Liverpool is delighted to announce the opportunity for Home and European students to receive industrial sponsorship to cover tuition fees for this programme. Read more
The Department of Computer Science at The University of Liverpool is delighted to announce the opportunity for Home and European students to receive industrial sponsorship to cover tuition fees for this programme. For more information visit our Postgraduate Funding Tool or contact Dr Martin Gairing.

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

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

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

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

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

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

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

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

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

Why Computer Science?

Excellent partnerships

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

State of the art teaching and research

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

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

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

Teaching

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

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

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

Career prospects

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

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

Read less
Enhance your career prospects with this Masters in Advanced Computer Studies at Liverpool John Moores University. Carry out an extensive postgraduate research project and benefit from international academic collaborations on this course. Read more
Enhance your career prospects with this Masters in Advanced Computer Studies at Liverpool John Moores University. Carry out an extensive postgraduate research project and benefit from international academic collaborations on this course.

•Complete this masters degree in one year full time
•Delivered by academics active in research
•£6 million state-of-the-art laboratories and teaching facilities
•Flexible programme structure allows you to tailor your studies to enhance your career
•Opportunity to carry out a novel research project in an area of your choice
•Excellent career prospects in areas such as application development, project management, IT management and further study for PhD

Our Masters degree in Advanced Computer Studies offers you the opportunity to create a bespoke programme that meets your specific requirements by combining option modules from two specialised programmes offered by LJMU's School of Computing and Mathematical Sciences.

If you want to develop a combined expertise in Computer Forensics and Computer Security, or Software Engineering with Computer Science, or any combination of the above, you will find this course an excellent route towards your career goals.

This flexible course aims to provide you with a fuller , systematic understanding of current and developing computer systems and technologies in selected areas and help you to:

•explore the issues surrounding computer systems in Industrial contexts
•development expertise and interest in areas which are relevant to your work
•become an advanced autonomous learner
•develop a comprehensive understanding, critical awareness and ability to conduct evaluation of current research issues
•work with originality in applying analytical, creative, problem solving and research skills

Learning how to apply a range of tools and techniques and developing a clear understanding of how to effectively and creatively manage computer systems on this course will put you in an excellent career position when you graduate.

Please see guidance below on core and option modules for further information on what you will study
Level 7
Research Methods
Project Dissertation
Advanced Software Engineering Concepts
Real-time Systems
Software Engineering Development Workshop
Usability Engineering
Advanced Data Structures and Algorithms
Research Topics in Computer Science
Computation Theory
Information and Social Networks
Software Development with Java
Computer Forensics
Computer Systems Technology
Management of E-business
Computer Security
Database Design and Technology
Advanced topics in Network Security
Advanced topics in Computer Forensics
Network Forensics
Computer Networks
A major component of the course is the project module. This is an extensive piece of research work in an applications domain relevant to your academic or professional interests.

Your project is expected to have a strong research component and in many cases may form the basis of further academic research.

Further guidance on modules

The information listed in the section entitled ‘What you will study’ is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal Academic Framework review, so may be subject to change. Students will be required to undertake modules that the University designates as core and will have a choice of designated option modules. Additionally, option modules may be offered subject to meeting minimum student numbers.

Academic Framework reviews are conducted by LJMU from time to time to ensure that academic standards continue to be maintained. A review is currently in progress and will be operational for the academic year 2016/2017. Final details of this programme’s designated core and option modules will be made available on LJMU’s website as soon as possible and prior to formal enrolment for the academic year 2016/2017.

Please email if you require further guidance or clarification.

Read less
Edge Hill University Department of Computer Science
Distance from Liverpool: 0 miles
This Masters degree provides you with a strong conceptual and theoretical understanding of big data analytics. You will gain the essential skills and confidence required to apply and produce knowledge and understanding of issues surrounding big data analytics in a range of contexts. Read more
This Masters degree provides you with a strong conceptual and theoretical understanding of big data analytics. You will gain the essential skills and confidence required to apply and produce knowledge and understanding of issues surrounding big data analytics in a range of contexts. This will enable you to evaluate, adapt, create and utilise appropriate models, methods, practices, theories and computational techniques in the face of changing and evolving technology. There is the opportunity to develop a critical understanding of visualisation concepts, modelling and algorithmic foundations, as well as to develop and evaluate new or advanced bespoke solutions for processing, analysing and making sense of big and/or complex data. The programme enables you concentrate on a specific practical area within computer science and is suitable whether you are a recent graduate or already working in the IT industry and looking to change career paths.

What will I study?

Gaining an in-depth and systematic knowledge of big data management theories, concepts, methodologies and professional practice, you will develop a systematic and critical understanding of algorithms and programming techniques for processing, storing, analysing, visualising and interpreting data.

You will learn the practical skills of mathematics that underpin the processing of data, the programming applications required to manage big data, and the visualisation techniques necessary to make sense of large data sets. There will also be the opportunity to work with emerging technologies derived from industry.

How will I study?

The course is delivered through a combination of lectures, seminars and tutorials with a mixture of daytime and evening classes. Sessions will frequently be highly interactive with a focus on the practical application of concepts and the use of case studies drawn from real life. An emphasis on small group sizes ensures that you will have plenty of opportunities for individual discussions with your tutors. Typically, you will study for approximately nine hours a week if you are studying on a full-time basis.

How will I be assessed?

Your vocational capability, academic critical thinking and intellectual development will be assessed throughout the course. This is achieved through a combination of coursework, case studies, problem-solving exercises and examinations. You may be assessed individually or as part of a group.

Who will be teaching me?

You will be taught by highly qualified, experienced and enthusiastic academic staff who are research-active and fully engaged with the wider business and academic community. The programme team specialise in a variety of subjects so you will benefit from a wide range of expertise. There will also be occasional input from external IT professionals who will be invited to teach particular sessions.

What are my career prospects?

As organisations become ever more dependent on data, there are increasing opportunities in specialist positions related to obtaining, processing and visualising data.

The MSc Big Data Analytics provides you with the skills and knowledge to develop your interests for a career in data science. You will be ideally placed to progress into roles where you will work as a data scientist or data analyst.

Read less
This Masters in Computing and Information Systems focuses on the technological aspects of hardware and software. Liverpool John Moores University provides the perfect opportunity to study the latest innovations in this subject at postgraduate level. Read more
This Masters in Computing and Information Systems focuses on the technological aspects of hardware and software. Liverpool John Moores University provides the perfect opportunity to study the latest innovations in this subject at postgraduate level.

•Course available to study full time (1 year)
•Delivered by academics active in research
•Opportunity to carry out a novel research project in an area of your choice
•High-quality teaching and excellent learning resources commended by the Quality Assurance Agency (QAA)
•£6 million state-of-the-art laboratories and teaching facilities
•Excellent career prospects in areas such as project management, system design and IT management

This MSc in Computing and Information Systems focuses on the technological aspects of hardware and software systems, together with a study of their operational and managerial environment.

The course aims to provide you with a fuller, systematic understanding of current and developing computer technologies and help you to:

•explore the issues surrounding the Management of Information Technology in Business and Industrial contexts
•develop expertise in the areas of computer science that you are interested in
•become an advanced, autonomous learner
•develop a comprehensive understanding, critical awareness and ability to conduct evaluation of current research issues
•work with originality in applying analytical, creative, problem solving and research skills
•gain awareness of the advanced, conceptual understanding, underpinning career development, innovation and further study for PhD

Please see guidance below on core and option modules for further information on what you will study.
Level 7
Project Dissertation
Advanced Software Engineering Concepts
Research Methods
Computer Systems Technology
Management of E-business
Database Design and Technology
Advanced Data Structures and Algorithms
Software Development with JAVA
Computer Forensics
Computer Security
A major component of the course is the project module. This is an extensive piece of research work in an applications domain relevant to your academic or professional interests.

It is intended to provide you with an opportunity to undertake a major investigation and produce a major dissertation on the outcome of the work. Assessment of the project will be based on this dissertation and presentations of the work.

The work carried out during the project is expected to have a strong research component and will, in many cases, be appropriate in forming the basis of further academic research - for example a PhD programme.

Further guidance on modules

The information listed in the section entitled ‘What you will study’ is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal Academic Framework review, so may be subject to change. Students will be required to undertake modules that the University designates as core and will have a choice of designated option modules. Additionally, option modules may be offered subject to meeting minimum student numbers.

Academic Framework reviews are conducted by LJMU from time to time to ensure that academic standards continue to be maintained. A review is currently in progress and will be operational for the academic year 2016/2017. Final details of this programme’s designated core and option modules will be made available on LJMU’s website as soon as possible and prior to formal enrolment for the academic year 2016/2017.

Please email if you require further guidance or clarification.

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Study for this Masters in Software Engineering at Liverpool John Moores University and gain advanced postgraduate skills in the theory, practice and design of contemporary software technologies. Read more
Study for this Masters in Software Engineering at Liverpool John Moores University and gain advanced postgraduate skills in the theory, practice and design of contemporary software technologies.

•Course available to study full time (1 year)
•Delivered by academics active in research
•Curriculum informed by ongoing research and links with employers
•High-quality teaching and excellent learning resources
•£6million state-of-the-art laboratories and teaching facilities
•Excellent career prospects in areas such as Systems Design

This Masters degree in Software Engineering will equip you with advanced skills in the theory, practice, tools and applications necessary for the design, management and deployment of computing systems.

The course aims to provide you with a fuller, systematic understanding of current and developing software engineering and help you to:
•be critically aware of current and developing principles and practices within software engineering
•develop widened and deepened conceptual and practical knowledge and skills in the areas of software engineering
•apply a range of advanced tools and techniques used in the development of complex computer based systems
•critically analyse a range of development domains
•gain a clear understanding of how to effectively and creatively manage software development
•use knowledge with originality and be innovative in Software Engineering
•develop a critical understanding of current research issues in the relevant aspects of software engineering
•be able to study independently at an advanced level and have developed effective methodology skills for original research

The course will also provide you with a strong foundation from which you can develop and maintain effective software systems and adapt to future software development technologies.

Please see guidance below on core and option modules for further information on what you will study.
Level 7
Research methods
Software engineering concepts
Usability engineering
Software engineering development workshop
Real time systems
Project
Advanced data structures and algorithms
Advanced topics in computer science
Information and social networks
Computation theory
Computer security
Computer forensics
Network forensics
Computer networks
Database design and technology
Computer systems technology
Management of e-business
A major component of the course is the project module. This is an extensive piece of research work in an applications domain relevant to your academic or professional interests. It is intended to provide you with an opportunity to undertake a major investigation and produce a dissertation on the outcome of the work.

Assessment of the project will be based on this dissertation and presentations of the work. The work carried out during the project is expected to have a strong research component and will, in many cases, be appropriate in forming the basis of further academic research, such as a PhD programme.


Further guidance on modules

The information listed in the section entitled ‘What you will study’ is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal Academic Framework review, so may be subject to change. Students will be required to undertake modules that the University designates as core and will have a choice of designated option modules. Additionally, option modules may be offered subject to meeting minimum student numbers.

Academic Framework reviews are conducted by LJMU from time to time to ensure that academic standards continue to be maintained. A review is currently in progress and will be operational for the academic year 2016/2017. Final details of this programme’s designated core and option modules will be made available on LJMU’s website as soon as possible and prior to formal enrolment for the academic year 2016/2017.

Please email if you require further guidance or clarification.

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University of Liverpool Liverpool Management School
Distance from Liverpool: 0 miles
The University of Liverpool Management School is one of an elite group of institutions worldwide to be AACSB-Accredited. Read more
The University of Liverpool Management School is one of an elite group of institutions worldwide to be AACSB-Accredited.

Programme Overview

Big Data, a fusion of fast moving digital technologies, management and computer science offers a unique opportunity to study a contemporary subject and attain knowledge which may be applied in a variety of sectors and services.

There is growing demand in the industry and business communities for highly skilled managers with a sound strategic and applied understanding of the opportunities and challenges of Big Data. This programme is for those who wish to pursue a career in this rapidly growing and dynamic field.

Through this programme you’ll be able to:

- Prepare yourself as one of tomorrow’s managers and business executives with unique exposure to current business opportunities, challenges and developments in the area of Big Data Business Management.
- Learn with cutting-edge examples. In addition to presentations, lectures and tutorials, the academic content of the programme is underpinned by case studies and projects which are supported by leading industry practitioners and researchers.
- Develop and demonstrate your own knowledge with a project dissertation.

Key Facts

REF 2014
27th in the UK for 4* and 3* (world leading and internationally excellent), 100% impact and 88% environment at 4* and 3*.

Why University of Liverpool Management School?

'Learning to make a difference'

AACSB-Accredited, the University of Liverpool Management School is in the top 5% of business schools worldwide. Regarded as one of the most rigorous assessments, many top global recruiters will only consider candidates from AACSB-Accredited schools – a clear signal that our programmes respond to the needs of business and meet specific standards of excellence.

The University of Liverpool Management School works with today's leaders in business and management to prepare its students to be the leaders of the future. The school's mission is 'Learning to make a difference' and there is a fundamental belief that the purpose of the School's research and teaching is to develop students who are not only good managers, but individuals who are truly committed to making a difference. We hope that our students will use the knowledge and skills they gain here in their future roles to help solve some of the most endemic problems individuals, enterprises and communities face.

Career prospects

The aim of this programme is to jointly prepare tomorrow’s business leaders with unique exposure to the rapidly evolving field of Big Data and the opportunities, challenges and developments associated with running or expanding digital business enterprises.

Careers Support

From the moment you start your MSc you will have access to a specialist careers team which includes a professionally qualified MSc Careers Adviser and a dedicated International Employer Engagement Officer.

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This Masters in Cyber Security at LJMU enables students with computing and related subject experience to further their study in this exciting, challenging, and much in-demand area of computer science. Read more
This Masters in Cyber Security at LJMU enables students with computing and related subject experience to further their study in this exciting, challenging, and much in-demand area of computer science.

•Study a course based on the latest research and informed by industry liaison
•Course is aligned with the Government's professional practitioner benchmark for Cyber Security Masters-level study
•Enhance your scientific, engineering and technical skills
•Gain the knowledge and practical skills required for a career in Cyber Security
•Benefit from the support of a personal tutor throughout your studies

Our academic team have designed the programme to enhance your scientific, engineering and technical skills as well as promoting a wider understanding of the business and social context of security. The curriculum aligns with the UK Government’s professional practitioner benchmark for Masters-level study in Cyber Security. This will substantially enhance your CV and raise your profile in the job market.

From the moment you enrol at LJMU, you will be allocated a personal tutor who will work with you on developing the ability to learn independently in readiness for your research project. Your tutor will be on hand to offer academic, administrative and general pastoral guidance.

Please see guidance below on core and option modules for further information on what you will study.
Level 7
Computer Security
Network Security
Practical Sysadmin Security
Secure Software Engineering
Information Security Management
Research Methods
Project Dissertation

Further guidance on modules

The information listed in the section entitled ‘What you will study’ is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal Academic Framework review, so may be subject to change. Students will be required to undertake modules that the University designates as core and will have a choice of designated option modules. Additionally, option modules may be offered subject to meeting minimum student numbers.

Academic Framework reviews are conducted by LJMU from time to time to ensure that academic standards continue to be maintained. A review is currently in progress and will be operational for the academic year 2016/2017. Final details of this programme’s designated core and option modules will be made available on LJMU’s website as soon as possible and prior to formal enrolment for the academic year 2016/2017.

Please email if you require further guidance or clarification.

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University of Liverpool Department of Computer Science
Distance from Liverpool: 0 miles
To meet the increasing demand for MSc students to have industry experience, we have introduced this new two-year MSc programme. Read more
To meet the increasing demand for MSc students to have industry experience, we have introduced this new two-year MSc programme. Designed for graduates of the highest calibre the MSc will develop advanced knowledge and skills and give you the opportunity to put your knowledge into practice through valuable work experience during a one year industrial placement.

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

The two-year MSc programme shares the same taught modules with its one-year equivalent. However, unlike the one-year MSc which includes an MSc project over the summer, the two-year programme includes an industrial project and placement in year two (either in the UK or overseas). The placement is typically 30 weeks from September to June.

This opportunity to work in industry will help you strengthen your career options by:

Undertaking the project work in an industrial setting
Applying theory learnt in the classroom to real-world practice
Developing communications and interpersonal skills Building networks and knowledge which will be invaluable throughout your career.
During the placement year you will spend time working in a relevant company suitable for the MSc. This is an excellent opportunity to gain practical engineering experience which will boost your CV, build networks and develop confidence in a working environment. Many placement students continue their relationship with the placement provider by undertaking relevant projects and may ultimately return to work for the company when they graduate.

The University of Liverpool has a dedicated team to help students find a suitable placement. Preparation for the placement is provided by the University’s Careers and Employability Service (CES) who assist students in finding a placement, help students produce a professional CV and prepare students for placement interviews.

The University has very good links with industry and several companies work with us to offer our MSc students competitive placements. Although industry placements are not guaranteed, the University offers you opportunities and support throughout the process to ensure that the chance to find a placement is high.

If you are unable to secure a suitable placement by the end of April during year one, you will be transferred onto the one-year MSc to undertake the MSc project over the summer and graduate after one year.

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

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