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

We have 19 Full Time MSc Degrees in Computer Science, Leicester, United Kingdom

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University of Leicester Computer Science
Distance from Leicester: 0 miles
This MSc is designed for students who wish to supplement their education in a specific set of advanced topics and cutting-edge technologies that they require for their professional lives, or to pursue their studies further to a PhD on a specific topic. Read more
This MSc is designed for students who wish to supplement their education in a specific set of advanced topics and cutting-edge technologies that they require for their professional lives, or to pursue their studies further to a PhD on a specific topic. It offers a broad menu of modules from which you can construct your own pathway with the advice and assistance of a member of staff.

Over the course of this degree, you will develop a deep understanding of the nature and impact of current challenges faced by the IT industry so that you know what is expected from a mature professional. You will also develop an awareness of the methodologies and technologies that are available within computer science to address these challenges, so that you can evaluate and analyse specific situations and make informed choices.

You will have opportunities to develop your interpersonal, communication, decision-making, and problem-solving skills, and to use these skills in an imaginative way.

This MSc course will provide you with the knowledge and research skills to continue your studies at PhD level.

For details on course structure, please visit the University of Leicester website.

Start Dates

Campus-based : October and January each year.
Distance Learning: September and January each year.

(Please note: due to regular enhancement of the University’s courses, please refer to Leicester’s own website (http://www.le.ac.uk) or/and Terms and Conditions (http://www2.le.ac.uk/legal) for the most accurate and up-to-date course information. We recommend that you familiarise yourself with this information prior to submitting an application.)

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This broad-ranging course concentrates on the latest tools and techniques of modern computer science. Read more

About the Course

This broad-ranging course concentrates on the latest tools and techniques of modern computer science. Covering object-orientated programming, computer systems and networking, database analysis and design and much more, you will be exposed to the most recent developments in both the theory and practice of modern computing.

The Computing MSc, Information Systems Management (ISM) MSc and Information technology (IT) MSc are very closely linked with a common first semester, giving you the option of changing between this courses up until the Christmas vacation. The course assumes no previous experience in computing and is ideally suited to graduates of other subjects who wish to add IT to their portfolio of skills. The most essential requirements are enthusiasm for the subject and an inquiring mind.

Reasons to study:

• Benefit from our Research Expertise
our internationally recognised Centre for Computing and Social Responsibility will have input into the course and will explore and allow you to understand the current research issues

• Dedicated Computer Science Laboratories
you will have access to our industry standard software used in e-commerce so that you develop relevant skills

• Industry placement opportunity
you can chose to undertake a year-long work placement, gaining valuable experience and skill giving you a head start in your career once you have finished the course

• 50 years history of research and teaching in computing technology
benefit from our well established academic expertise and advance your skills in, and knowledge of, developing computing solutions to business problems

• Excellent graduate prospects
You will develop the skills you need to progress to roles such as systems analyst, programmer, software architect and research development project leader in global organisations like Hewlett Packard and Marks and Spencer

Course Structure

Modules

First Semester (October to January)

• Object-Orientated Programming
• Database Systems and Design
• Computer Systems and Networks
• Systems Analysis and Design

Second Semester (February to May)

• Research Methods, Professionalism and Ethics
• E-Commerce Software
• E-Commerce Systems
• Human Factors in Systems Design

Third Semester (June to September)

During the final semester you will work on your project/ dissertation, chosen by you and agreed by your project supervisor. Part-time students normally choose to work on their project over an entire academic year.

Optional Placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your dissertation.

Teaching and Assessment

The course can be studied either full-time over one year or part-time for two to six years, beginning in September each year (a January start date may also be available).

There will be two- or three-week vacations at Christmas and New Year (December/January) and Easter (March/April), and some students also take a brief break in June or July before completing their dissertation.

Teaching includes formal lectures, tutorials and labs. You will also be expected to undertake independent study and research to support your assignments and your dissertation. Assessment will be by various group and individual methods including exams, projects, presentations, written essays and reports.

You will normally be expected to attend a two-week induction to ensure that you are well prepared for the modules taught in the first semester. This course offers a degree of flexibility, and you may have the option to switch over to our Information Systems Management MSc after the first term (subject to approval).

Contact and learning hours

Full-time students will normally attend around 12 hours of timetabled taught sessions per week, and can expect to undertake around 24 further hours of self-directed independent study and research to support your assignments and dissertation.

Academic Expertise

The Centre for Computing and Social Responsibility is internationally recognised for its applied research expertise. In a world where individuals, businesses and governments increasingly depend on information and communication technologies, this acclaimed research centre is looked to for authoritative advice on their social, organisational and ethical impacts. Our experts collaborate with a range of worldwide partners assessing implications and shaping codes of practice.

You will benefit from our history of more than 50 years of research and teaching in computing and technology, and the expertise of our academic staff.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

Read less
University of Leicester Computer Science
Distance from Leicester: 0 miles
This MSc focuses on the methodologies and technologies that address the challenges that companies are facing for competing in the volatile markets of today. Read more
This MSc focuses on the methodologies and technologies that address the challenges that companies are facing for competing in the volatile markets of today. It looks at how to generate applications from high-level business models to reduce time-to-market and development costs and how to evolve legacy systems and promote business processes in an economy dominated by the need to offer and integrate, on demand, new services.

Over the course of this degree, you will develop a deep understanding of the nature and impact of current challenges faced by the IT industry so that you know what is expected from a mature professional. You will also develop an awareness of the methodologies and technologies that are available within computer science to address these challenges, so that you can evaluate and analyse specific situations and make informed choices.

You will have opportunities to develop your interpersonal, communication, decision-making, and problem-solving skills, and to use these skills in an imaginative way.

This MSc course will provide you with the knowledge and research skills to continue your studies at PhD level.

Start Dates

Campus-based: October and January each year.
Distance Learning: September and January each year.

(Please note: due to regular enhancement of the University’s courses, please refer to Leicester’s own website (http://www.le.ac.uk) or/and Terms and Conditions (http://www2.le.ac.uk/legal) for the most accurate and up-to-date course information. We recommend that you familiarise yourself with this information prior to submitting an application.)

Read less
University of Leicester Computer Science
Distance from Leicester: 0 miles
The evolution of web-based technologies has now led to what is known as 'Web 2.0'. a semantically enriched information source with advanced potential to provide specialised software applications 'on the fly'. Read more
The evolution of web-based technologies has now led to what is known as 'Web 2.0': a semantically enriched information source with advanced potential to provide specialised software applications 'on the fly'. A plethora of standard PC-based applications is now appearing online (calendar and diary tools, text editors, and spreadsheets, among others) that can be used in a distributed collaborative setting. Developing such applications is particularly challenging, partly due to the wide background required but also the rapid emergence of new technologies. This MSc will equip you with a sound understanding of the area and its emerging trends, while at the same time providing a very hands-on approach to current technologies.

Over the course of this degree, you will develop a deep understanding of the nature and impact of current challenges faced by the IT industry so that you know what is expected from a mature professional. You will also develop an awareness of the methodologies and technologies that are available within computer science to address these challenges, so that you can evaluate and analyse specific situations and make informed choices.

You will have opportunities to develop your interpersonal, communication, decision-making, and problem-solving skills, and to use these skills in an imaginative way.

This MSc course will provide you with the knowledge and research skills to continue your studies at PhD level.

Start Dates

Campus-Based: October and January each year.
Distance Learning: January and September each year.

Read less
University of Leicester Computer Science
Distance from Leicester: 0 miles
Cloud computing offers scalable computing resources on demand, providing solutions and challenges for science and business. Amongst others, the opportunities include a low cost entry point for small companies, more economical use of computing resources and the capability of handling very large data sets. Read more
Cloud computing offers scalable computing resources on demand, providing solutions and challenges for science and business. Amongst others, the opportunities include a low cost entry point for small companies, more economical use of computing resources and the capability of handling very large data sets. Challenges for practitioners include the design and use of suitable algorithms, the design and implementation of suitable architectures and understanding of risks and opportunities. This MSc will provide a sound understanding of designing, analysing and engineering of systems for handling big data in a distributed environment based on dynamically scalable architectures.

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University of Leicester Computer Science
Distance from Leicester: 0 miles
The field of algorithms is today an extremely important enabling technology. Web search-engines, routing in the internet, genome analysis, cryptography and image analysis are just a few examples of applications that depend critically on suitable choices of algorithms and. Read more
The field of algorithms is today an extremely important enabling technology. Web search-engines, routing in the internet, genome analysis, cryptography and image analysis are just a few examples of applications that depend critically on suitable choices of algorithms and
data structures. The focus of this MSc is on the design, analysis and engineering of algorithms, covering their use for modelling real-world problems.

Start Dates
October and January each year.

Read less
University of Leicester Computer Science
Distance from Leicester: 0 miles
The presence of software applications as components of many different kinds of systems with dynamic configurations is increasing at an unprecedented pace. Read more
The presence of software applications as components of many different kinds of systems with dynamic configurations is increasing at an unprecedented pace. The focus of this MSc is on new methods, architectures and design techniques for software systems that are able to operate, with guaranteed levels of quality of service, across heterogeneous and distributed platforms.

Start Dates
October and January each year.

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University of Leicester Computer Science
Distance from Leicester: 0 miles
Course aims. Today, software is becoming ever more complex, developed with very short time to market, and required to cope with changing requirements. Read more
Course aims
Today, software is becoming ever more complex, developed with very short time to market, and required to cope with changing requirements. This scenario calls for increased levels of flexibility and agility, both in the technologies used and the processes followed for engineering software. This MSc will provide a sound background on the methods and techniques that can meet these challenges. Hands-on modules based on the Eclipse framework will ensure that this knowledge is framed in practical contexts of usage.

Course modules
Each specialist course consists of six core modules and two option modules. For the MSc there is also a project. All courses include the core module ‘Personal and Group Skills’.

Core Modules
Domain Specific Languages
Generative Development
Service Oriented Architectures
System Re-Engineering
Recommended Option
Software Process Engineering

Teaching and assessment methods
Teaching is by a variety of methods including lectures, seminars, self-paced learning and practicals. Assessment of taught modules is by coursework and examination. Coursework consists of a mixture of computer-based practicals, essays and small group projects. The compulsory Personal and Group Skills module combines attendance of seminars, group discussions and collective essay writing on topics selected for the seminars, as well as attendance at a series of workshops on transferable skills and career planning. The project is assessed separately.

Start Dates
October and January each year.

Read less
University of Leicester Computer Science
Distance from Leicester: 0 miles
Course aims. Read more
Course aims
Financial services are not only one of the most dynamic sectors of the economy but also one of the two largest customers of IT! This MSc is offered together with the Department of Economics in order to give you both a command of the software technologies that financial institutions require to "embrace the challenge of change" and of the business context and organisational structures that IT systems need to support.

This MSc programme concentrates on architectures for building scalable financial software systems, thus preparing software engineers for a plethora of jobs in the financial industry. In particular it considers technologies and techniques that are particularly relevant for the challenges of the financial market, predominantly a need to migrate from mission-critical, monolithic legacy systems to more flexible architectures that allow speedy reaction to customer and business partner’s needs. The technical aspect must be seen in the context of the business environment, where software engineers typically interact with a world of financial jargon and departments with specialised roles and needs.

Course modules
This specialist course consists of five core modules and three option modules. For the MSc there is also a project.

Core Modules
Corporate Finance
Financial Information Systems
Personal and Group Skills
Service-Oriented Architectures
System Re-engineering

Start Dates
October and January each year.

Read less
Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence. Read more

About the course

Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.

Computational Intelligence encompasses the techniques and methods used to tackle problems not well solved by traditional approaches to computing. The four areas of fuzzy logic, neural networks, evolutionary computing and knowledge based systems encompass much of what is considered to be computational (or artificial) intelligence. There are opportunities to use these techniques in many application areas such as robot control and games development depending on your interests.

Modules include work based on research by the Centre of Computational Intelligence. With an established international reputation, their work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Past students have published papers with their CCI project supervisors and gone on to PhD study.

Reasons to Study

• Internationally recognised reputation
our internationally recognised Centre of Computational Intelligence (CCI) inputs into the course allowing you to understand the current research issues related to artificial intelligence

• Benefit from our Research Expertise
modules include work-based on research by our Centre for Computational Intelligence (CCI) and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics; providing theoretically sound solutions to real-world decision making and prediction problems

• Flexible study options
full-time, part time or distance learning study options available; making the course suitable for recent graduates and professionals in work

• Dedicated robotics laboratory
have access to our Advanced Mobile Robotics and Intelligent Agents Laboratory. The laboratory contains a variety of mobile robots ranging from the Lego Mindstorms and Pioneers to the Wheelbarrow robot for bomb disposal

• Employment Prospects
artificial Intelligence is a growing industry worldwide, employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering

Course Structure

Modules

• Computational Intelligence Research Methods
• Artificial Intelligence (AI) Programming
• Mobile Robots
• Fuzzy Logic
• Artificial Neural Networks
• Evolutionary Computing
• Applied Computational Intelligence
• Intelligent Mobile Robots
• Individual Project

Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your project.

Teaching and Assessment

The course consists of an induction unit, eight modules and an individual project. The summer period is devoted to work on the project for full-time students. If you choose to study via distance learning, you would normally take either one module per semester for four years or two modules per semester for four years plus a further year for the project.

Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.

Distance learning material is delivered primarily through our virtual learning environment. Books, DVDs and other learning materials will be sent to you. We aim to replicate the on-site experience as fully as possible by using electronic discussion groups, encouraging contact with tutors through a variety of mediums.

Contact and learning hours

On-site students will have the lessons delivered by the module tutors in slots of three hours. In the full-time route, you can expect to have around 12 hours of timetabled taught sessions each week, with approximately 28 additional hours of independent study. There are also three non-teaching weeks when fulltime students can expect to spend around 40 hours on independent study each week.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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This advanced course focuses on enabling you to become proficient in communicating across a range of different disciplines and delivering optimised engineering solutions using an integrated multidisciplinary mechatronics approach. Read more

About the course

This advanced course focuses on enabling you to become proficient in communicating across a range of different disciplines and delivering optimised engineering solutions using an integrated multidisciplinary mechatronics approach. You will be exposed to a broad range of engineering disciplines, be able to solve multidisciplinary mechatronics problems and develop the skills to apply a mechatronic approach to the solution of technical problems.

Reasons to Study

• Accredited by the Institution of Engineering and Technology (IET)
ensuring you will benefit from the highest quality teaching, and graduate with a recognised qualification

• Graduate employability
Mechatronic engineers are in high demand as more industries seek to apply advances across a range of engineering disciplines

• Enjoy access to state-of-the-art facilities
including dedicated mechanical, electrical and electronic laboratories especially suited for mechatronics, as well as an for the manufacture of student designs

• Industry placement opportunity
you can chose to undertake a year-long work placement, gaining valuable experience to enhance your practical and professional skills further

• Work with leading research groups
you will be offered opportunities to work on projects with research groups within the faculty, including the Centre for Advanced Manufacturing Processes and Mechatronics, that are engaged in high-class, research and industrial collaboration and consultancy

• Course content relevant to modern day practice
our research informs our teaching, ensuring the course content covers current industry topics and issues

• Excellent graduate prospects
graduates enjoy exciting career opportunities in a range of fields such as robotics and automation, manufacturing, aerospace, material processing, energy and power.

Modules

First semester (September to January)

• Electromechanics
• Mechatronic Systems - Engineering and Design
• Engineering Business Environment and Energy Studies
• Programming and Software Engineering

Second semester (February to May)

• Machine Vision, Robotics and Flexible Automation
• Engineering Systems: Dynamics and Control
• Microprocessor Applications and Digital Signal Processing
• Research Methods

Individual Project (Stage three)

This research can be industrially-based or linked to an industrial partner, attached to one of the mechatronic-related research teams within the faculty or in other collaborating institutions. The research project should be in an area relevant to Mechatronics, where clear evidence of the ability to solve a real multidisciplinary problem is demonstrated. The project assessment involves a formal presentation, production of a technical paper and a thesis.

Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your dissertation.

Teaching and assessment

Teaching is delivered through a variety of methods including lectures, tutorials and laboratories. You will be expected to undertake self-directed study.

Contact and learning hours

For taught sessions you will attend eight modules with a total of 48 hours (four hours per week for 12 weeks each), with eight hours per module per week of average additional self-directed study. For the individual project you normally will spend 13 weeks working five days (eight hours per day) a week to complete it, and have one hour per week contact time with your supervisor.

Academic expertise

Research is carried out by the Mechatronics Research Centre, which holds a considerable number of UK and EU research project grants and has collaborative research links with more than 100 national and international organisations. The group is internationally regarded and specialises in machine design, control and simulation, fluid power systems and motion control.

As part of your studies, you will be offered opportunities to work on projects with research groups within the faculty that are engaged in high-class, leading-edge research and industrial collaboration and consultancy.

During the project element of the course, the Intelligent Machines and Automation Systems (IMAS) Research Laboratory provides access to dedicated research facilities

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

Read less
Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence. Read more

About the course

Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.

Computational Intelligence encompasses the techniques and methods used to tackle problems not well solved by traditional approaches to computing. The four areas of fuzzy logic, neural networks, evolutionary computing and knowledge based systems encompass much of what is considered to be computational (or artificial) intelligence. There are opportunities to use these techniques in many application areas such as robot control and games development depending on your interests.

Modules include work based on research by the Centre of Computational Intelligence. With an established international reputation, their work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Past students have published papers with their CCI project supervisors and gone on to PhD study.

Reasons to Study

• Internationally recognised reputation
our internationally recognised Centre of Computational Intelligence (CCI) inputs into the course allowing you to understand the current research issues related to artificial intelligence

• Benefit from our Research Expertise
modules include work-based on research by our Centre for Computational Intelligence (CCI) and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics; providing theoretically sound solutions to real-world decision making and prediction problems

• Flexible study options
full-time, part time or distance learning study options available; making the course suitable for recent graduates and professionals in work

• Dedicated robotics laboratory
have access to our Advanced Mobile Robotics and Intelligent Agents Laboratory. The laboratory contains a variety of mobile robots ranging from the Lego Mindstorms and Pioneers to the Wheelbarrow robot for bomb disposal

• Employment Prospects
artificial Intelligence is a growing industry worldwide, employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering

Course Structure

Modules

• Computational Intelligence Research Methods
• Artificial Intelligence (AI) Programming
• Mobile Robots
• Fuzzy Logic
• Artificial Neural Networks
• Evolutionary Computing
• Applied Computational Intelligence
• Data Mining
• Individual Project

Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your project.

Teaching and Assessment

The course consists of an induction unit, eight modules and an individual project. The summer period is devoted to work on the project for full-time students. If you choose to study via distance learning, you would normally take either one module per semester for four years or two modules per semester for four years plus a further year for the project.

Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.

Distance learning material is delivered primarily through our virtual learning environment. Books, DVDs and other learning materials will be sent to you. We aim to replicate the on-site experience as fully as possible by using electronic discussion groups, encouraging contact with tutors through a variety of mediums.

Contact and learning hours

On-site students will have the lessons delivered by the module tutors in slots of three hours. In the full-time route, you can expect to have around 12 hours of timetabled taught sessions each week, with approximately 28 additional hours of independent study. There are also three non-teaching weeks when fulltime students can expect to spend around 40 hours on independent study each week.

Academic expertise

Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you will gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

Read less
Cyber security is recognised as a priority for governments and large organisations throughout the world. Read more

About the course

Cyber security is recognised as a priority for governments and large organisations throughout the world. State sponsored cyber attacks are widely reported and whilst the responsibility for them is usually denied, what is far more certain is that cyber attacks on the national critical infrastructure and the theft of the intellectual property of large organisations are increasing and need protecting against. It is impossible to ignore the importance of cyber security.

Developed in conjunction with Deloitte, this course provides you with knowledge of the very latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built computer cyber security laboratories. If you are interested in a challenging and worthwhile career in a rapidly expanding and vitally important area of computing then this is the course for you.

Reasons to study:

• Taught by Industry Experts
developed and delivered in collaboration with cyber security professional from Deloitte and DMU teaching staff you will gain the knowledge and skills in the latest cyber security principles, practices and tools

• Purpose built Cyber Security Centre
access to our dedicated Computer Security and Forensics laboratories will give you the opportunity to work in industry standard facilities which will allow you to develop and enhance your skills in cyber security

• Specialise your learning to your area of interest
combine modules from across Cyber Security, Cyber Technology, Digital Forensics and Software Engineering, allowing you to tailor the course to your areas of interest

• Industry placement opportunity
you can chose to undertake a yearlong placement opportunity gaining valuable experience and skills as well as networking opportunities to build your industry contacts

• Graduate prospects
employed as cyber security specialists in a range of roles within organisations including IBM, Deloitte, Airbus and BT

Course Structure

Modules

Semester 1 (September to January)

• Foundations of Cyber Security
• Cyber Threat Intelligence• Host and Network Security
• Penetration Testing and Incident Response

Semester 2 (February to May)

• Cyber Engineering
• Digital Forensics Principles and Practice
• Malware Analysis
• Legal, Ethical and Professional Practice

Third Semester (June to September)

• MSc Cyber Security Project/Dissertation

Teaching and Assessment

Teaching methods include lectures, tutorials and laboratory work. A strong emphasis is given to real world problems. Assessment is by a combination of coursework, projects and laboratory-based assessments.

You will be taught and supported by experts in cyber security including staff from DMU's Cyber Security Centre, as well as professionals from Deloitte. We will need to expand on this later on when we can get more info from academics

Contact and learning hours

The time allocated to study is around 30 hours per week, carried out in block teaching.

Academic Expertise

The course teams within the Cyber Security Centre have unrivalled expertise in cyber security. The team includes former Chief Information Security Officers (CISOs) of large telecommunications companies, internet banks and cloud service providers, an ex vice president of one of the largest cyber security companies in the world, information assurance specialists with extensive experience working in various UK defence organisations, leading digital forensics experts and respected government advisors. Several of the team are regular media commentators on forensics and security. Professional input throughout the course will come from Deloitte and their cyber security professionals.

Facilities

The Cyber Security Laboratories are among the best equipped facilities of this type in the UK. Developed in consultation with leaders in the industry, they are designed to meet the highest forensics and security standards.
The laboratories contain 65 high-spec, specially customised PCs configured with multiple operating systems, virtualisation and removable hard drives, as well as specialised servers, wired and wireless networking equipment and a wide variety of other hardware and software components.

Cyber Security Centre

The laboratories are also the base for our Cyber Security Centre (CSC), a multidisciplinary group of academics and industry experts who focus on a wide variety of cyber security and digital forensics issues. Their mission is to provide the full benefits to all of a safe, secure and resilient cyberspace.

The laboratories play a vital role in the group's research and development work. Whether you are a first year undergraduate or a PhD student, within the laboratories you will be working with the latest tools and techniques at the forefront of computer forensics and security research.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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This programme provides flexibility and a range of module choices to practitioners and relevant organisations in the telecom, consultancy and software/system engineering sectors, which enables them to tailor their training/education needs. Read more

About the course

This programme provides flexibility and a range of module choices to practitioners and relevant organisations in the telecom, consultancy and software/system engineering sectors, which enables them to tailor their training/education needs.

Cyber Technology MSc consists of four main themes; Cyber Security, Software Engineering, Digital Forensics, and Management. It can be studied by combining modules from all four themes allowing you to specialise in your chosen area of interest. You have the opportunity to choose mixed pathways, for example the choices of modules could lead to a degree in Cyber Security with Management.

Reasons to study:

• Develop skills required for a rapidly changing sector
gain the latest skills, techniques and knowledge required in one of the most exciting areas of computing

• Developed in conjunction with industry experts
modules are developed with Deloitte PLC, Airbus Group, BT and Rolls-Royce ensuring that you explore issues relevant to industry

• Dedicated Cyber Security Centre
access to our dedicated Computer Security and Forensics laboratories will give you the opportunity to work in industry standard facilities which will allow you to develop and enhance your skills in digital forensics

• Taught by expert academic staff
taught by expert staff within our Cyber Security Centre and Software Technology Research Laboratory who recognised leaders in the cyber security domain

• Specialise your learning to your area of interest
combine modules from across Cyber Security, Cyber Technology, Digital Forensics and Software Engineering, allowing you to tailor the course to your areas of interest

• Excellent career prospects
graduates are prepared for roles such as consultancy, software houses or project management within organisations that are cyber security specialists within law enforcement, government; in commercial IT departments and security consultancies

Teaching and Assessment

Each module is delivered over the duration of four full days. It targets both concepts and practical skills that are relevant to industry. A multiple choice (MC) test at the end of the course provides attendees feedback on their achievements and must be passed before continuation of the academic assessment through coursework.

Teaching methods include lectures, tutorials and laboratory work. A strong emphasis is given to real world problems. Assessment is by a combination of coursework, projects, multiple choice and laboratory-based assessments.

Contact and learning hours

You will normally attend 3 hours of timetabled taught sessions each week for each module undertaken during term time, for full time study this would be 12 hours per week during term time. You are expected to undertake around 24 further hours of independent study and assignments as required per week. Alternate study modes and entry points may change the timetabled session available, please contact us for details.

Academic Expertise

The programme is managed and delivered through our renowned Cyber Security Centre and Software Technology Research Laboratory.

The course teams within the Cyber Security Centre have unrivalled expertise in cyber security. The team includes former Chief Information Security Officers (CISOs) of large telecommunications companies, internet banks and cloud service providers, an ex-vice president of one of the largest cyber security companies in the world, information assurance specialists with extensive experience working in various UK defence organisations, leading digital forensics experts and respected government advisors.

Several of the team are regular media commentators on forensics and security. Professional input throughout the course will come from Deloitte and their cyber security professionals.

Facilities

The Cyber Security Laboratories are among the best equipped facilities of this type in the UK. Developed in consultation with leaders in the industry, they are designed to meet the highest forensics and security standards.
The laboratories contain 65 high-spec, specially customised PCs configured with multiple operating systems, virtualisation and removable hard drives, as well as specialised servers, wired and wireless networking equipment and a wide variety of other hardware and software components.

Cyber Security Centre

The laboratories are also the base for our Cyber Security Centre (CSC), a multidisciplinary group of academics and industry experts who focus on a wide variety of cyber security and digital forensics issues. Their mission is to provide the full benefits to all of a safe, secure and resilient cyberspace.

The laboratories play a vital role in the group's research and development work. Whether you are a first year undergraduate or a PhD student, within the laboratories you will be working with the latest tools and techniques at the forefront of computer forensics and security research.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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Businesses now frequently possess and want to exploit huge, high volume, varied dynamic data sets, known as big data. Analytics is a subset of what has become to be called Business Intelligence. Read more

About the course

Businesses now frequently possess and want to exploit huge, high volume, varied dynamic data sets, known as big data. Analytics is a subset of what has become to be called Business Intelligence. This is a set of technologies and processes used to understand data and analyse business performance.

Data Analytics MSc, developed and run with SAS, has been specifically designed to equip you with the skills and abilities to address this shortage. On successful completion of the course you will have developed your analytic and technical knowledge, and enhanced your professional skills within a Business Intelligence context.

You will be equipped with the relevant skills for employment in any field of data science (such as business intelligence, data mining, SAS programming and database design) within any target industry, with the additional option to complete a placement year in industry to further enhance your employability.

There is a growing need for professionals who can combine both analytical and software techniques in appropriate ways to allow the processing of ‘big data’. Data Analytics MSc is designed to provide these analytics and processing skills embedded within a business intelligence context.

Reasons to study:

• Taught by SAS accredited teaching staff
you will be taught by experienced SAS accredited teaching staff providing you with expert knowledge and skills

• Developed to fill skills shortage
course content has been developed to enhance your employability and gain substantial knowledge and equipping you with the skills required in for the use of the SAS software as well as Hadoop Distributed File System (HDFS) in industry

• 50 years history of research and teaching in computing technology
benefit from our well established academic expertise and advance your skills in, and knowledge of, data analytics to business problems

• Industry placement opportunity
you can chose to undertake a year-long work placement gaining valuable experience and skills as well as networking opportunities to build your industry contacts

• Excellent graduate prospects
equipped with the relevant skills for business intelligence and data mining roles including SAS Programming, Database Design and Business Intelligence

Course Structure

Modules

First semester (September to January)

• Statistics
• Fundamentals of Business Intelligence Systems
• Analytics Programming
• Data Warehouse Design and OLAP

Second semester (February to May)

• Business Intelligence Systems Application and Development
• Big Data Analytics
• Data Mining
• Research Methods

Third semester (June to September)

• Individual project

Teaching and Assessment

Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.

The course is run in association with SAS, the leading independent vendor in the business intelligence industry, and you will gain substantial SAS software skills as part of your study.

First semester modules provide you with fundamental abilities in the use of statistics so that you can gain insights and practice of using business intelligence systems and analytics programming to exploit multidimensional data sets.

In the second semester you are exposed to a variety of business intelligence systems, including those that use big data and data mining techniques. A further module prepares students to undertake an individual research project. This project module allows you to undertake extensive research into an aspect of big data, and/or provides an opportunity to develop and demonstrate your analytical and processing abilities in response to a given practical problem.

Contact and learning hours

You will normally attend 3 hours of timetabled taught sessions each week for each module undertaken during term time, for full time study this would be 12 hours per week during term time. You are expected to undertake around 24 further hours of independent study and assignments as required per week.

Industry Association

The Data Analytics MSc was developed and is run in conjunction with SAS. SAS is the world's largest independent business analytics company. It provides an integrated set of software products and services to more than 45,000 customer sites in 118 countries. Across the globe, both the public and private sector use SAS software to assist in their efforts to compete and excel in a climate of unprecedented economic uncertainty and globalization.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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