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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.)

Read less
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
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.

Read less
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
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.

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

Read less
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
This broad-ranging course concentrates on the latest tools, techniques and practices of information systems management. Read more

About the course

This broad-ranging course concentrates on the latest tools, techniques and practices of information systems management. Covering object-orientated programming, computer systems and networking, advanced database design, web systems, technology change management and integration, an much more, the course exposes you to the most recent developments in both the theory and the practice of modern information systems.

The Computing MSc, Information Systems Management MSc, Information Systems Management MSc and Information Technology MSc are very closely linked with a common first semester, giving you the option of changing between these courses before the Christmas vacation.

Course Structure

Modules

First semester (October - 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
• Management of Information Systems
• E-Commerce Systems
• Human Factors in Systems Design

Third Semester (June to September)

During your 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 project.

Teaching and assessment

The course can be studied either full-time over one year or part-time for two–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 will include formal lectures, tutorials and laboratories. You will also be expected to undertake independent study and research to support your assignments and 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 in September, to prepare you for modules taught in semester one.

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.

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
You will study in an innovative department with an international reputation for research, training and education in software engineering, with access to facilities and expertise from the Software Technology Research Laboratory (STRL). Read more

About the course

You will study in an innovative department with an international reputation for research, training and education in software engineering, with access to facilities and expertise from the Software Technology Research Laboratory (STRL). Taught by acknowledged experts from the STRL, Software Engineering will equip you with skills you need for industry.

Accredited by the European-wide accreditation system for Informatics curricula, the course is committed to excellence in European-wide software education and training of engineers to deliver high-quality and trustworthy software systems that meet industrial needs. The taught element of the course lasts for the first two semesters, while the third semester is devoted to the project. The total length of study depends on the mode of delivery. .

Reasons to Study

• Gain an industry-recognised accreditation
the course is accredited by the British Computer Society (BCS) to Chartered Engineering (CEng) level

• Taught by expert academic staff
taught by experienced experts within the Software Technology Research Laboratory (STRL) with international reputation for research, training and education in software engineering, with access to specialist facilities

• 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

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

• Benefit from our Research Expertise
our internationally recognised Software Technology Research Laboratory (STRL) will have input into the course and will explore and allow you to understand the current research issues

• Excellent career prospects
graduates have gone on to work in both public and private sector organisations, and have been employed in positions in consultancies and worked for companies including IBM, Deloitte, Airbus and BT

Course Structure

First semester:

• Research Methods
• Advanced Requirements Engineering
• Software Project Management and Testing
• Pervasive Systems

Second Semester:

• Software Evolution
• Formal Methods Engineering
• Software Engineering for Dependable Systems
• Advanced Topics in Software Engineering

Project:
Your project will be chosen to explore an issue from a wide range of applications such as:

• Electronic Purse
• Electronic Patient Records
• Personal Insulin Pump Systems
• London Ambulance System
• System of Human Resources
• E-voting System
• Arion 5 Launcher
• Flight Control System

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

There are provisions for a traditional classroom-based delivery, either part-time or full-time, as well as distance learning. Teaching will include formal lectures, tutorials and labs. You will also be expected to undertake independent study and research to support your assignments and dissertation. Assessment will be 100 per cent coursework. It will involve various group and individual methods, including oral exams, projects, presentations, written essays and reports.

Contact and learning hours

The time allocated to study is around 30 hours per week, carried out in block teaching. The taught element of the course lasts for the first two semesters, while the third semester is devoted to the project.

Academic expertise

he Software Technology Research Laboratory is one of the largest software engineering research groups in the UK and its research activities are acknowledged as being at the highest level of international excellence. In the last UK HEFCE Research Assessment Exercise (RAE 2008), 85 per cent of the research produced by the group was considered to be world-leading, internationally excellent or international.

The major themes within the lab include computer security and trust, software evolution, theory and computational paradigms and semantic web and service oriented computing. The staff working in these areas bring to the course their academic excellence and their experience of applying their work to various industrial sectors.

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 MSc provides you with the knowledge and skills to effectively develop, apply and research business intelligence systems. These are computerised information systems that enable organisations to gain business intelligence information and typically include some form of data mining functionality. Read more

About the course

This MSc provides you with the knowledge and skills to effectively develop, apply and research business intelligence systems. These are computerised information systems that enable organisations to gain business intelligence information and typically include some form of data mining functionality.

This course emphasises the concepts and techniques of business intelligence systems and their application and development, which are underpinned and exemplified via the learning of one or more contemporary ‘best of breed’ business intelligence software tools.

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 allowing you to work toward your SAS accreditation

• SAS endorsed course
enhance your employability and gain substantial knowledge and skills in SAS business intelligence software leading towards SAS data miner accreditation

• 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 business intelligence systems and data mining solutions to business problems

• Gain an insight into real world solutions
attend guest lectures and seminars, which will give you a real understanding of the impact of their work

• Excellent graduate prospects
graduates have gone into roles such as BI/SQL developers, logistics data modeller’s and insight analysts at organisations including Cognisco, LLamasoft and Occam DM

Course Structure

Modules

First semester (September to January)

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

Second semester (February to May)

• Data Mining
• Business Intelligence Systems Application and Development

Plus two from the following list:
• Management of Information Systems
• Human Factors in Systems Design
• Applied Computational Intelligence
• Artificial Neural Networks

Third semester (June to September)

•The individual project module.

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.

Compulsory taught modules give you the opportunity to gain the fundamental knowledge and practices required to apply, develop and research business intelligence systems, while optional modules provide you with chances to study particular aspects of system application and development in more depth.

The individual project module allows you to undertake research into an aspect of business intelligence systems that interests you, and/or to perform appropriate business intelligence development tasks in response to a given practical problem.

Contact and learning hours

Full-time students will normally attend around 16 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.

Industry Association

This course 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

Read less

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