• University of Edinburgh Featured Masters Courses
  • Jacobs University Bremen gGmbH Featured Masters Courses
  • University of Derby Online Learning Featured Masters Courses
  • Aberystwyth University Featured Masters Courses
  • University of Bristol Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • University of Leeds Featured Masters Courses

Postgrad LIVE! Study Fair

Birmingham | Bristol | Sheffield | Liverpool | Edinburgh

Cranfield University Featured Masters Courses
Nottingham Trent University Featured Masters Courses
University of Reading Featured Masters Courses
University of Cambridge Featured Masters Courses
Swansea University Featured Masters Courses
"industrial" AND "computi…×
0 miles

Masters Degrees (Industrial Computing)

We have 559 Masters Degrees (Industrial Computing)

  • "industrial" AND "computing" ×
  • clear all
Showing 1 to 15 of 559
Order by 
This degree programme aims to give students a Masters-level postgraduate education in the knowledge, skills and understanding of research methods to enable them to operate effectively in the application of computing in industry, commerce or research. Read more
This degree programme aims to give students a Masters-level postgraduate education in the knowledge, skills and understanding of research methods to enable them to operate effectively in the application of computing in industry, commerce or research. Students with an interest in topics covered by our research teams will find this is an excellent opportunity to get involved in progressive research.

Why study MSc Computing Research at Dundee?

The MSc Computing Research degree is designed for graduates with a good degree in Computing or a related subject who wish to gain deep knowledge of research methods and experience of working in an active research environment.

The School of Computing provides a distinctive, balanced and enjoyable learning environment, matched to the future needs of both society and the computing field. Its research has strong foundations in mathematical and logical techniques, and in probabilistic and machine learning algorithms that are applied in its work on computer vision and multi-agent systems. In its applied research, the multi-disciplinary School has an international reputation in computer support for older and disabled people, healthcare computing, space systems and interaction design. All these areas of research have been developed through strong, long-term relationships with other leading academic institutions worldwide, and in collaboration with professional and industrial partners. The School is also active in commercialising its research, with several recent spin out companies fostering an entrepreneurial atmosphere.

The School of Computing has four major research groups:
Assistive and Healthcare Systems
Computational Systems
Interactive Systems Design
Space Technology Centre

What's so good about MSc Computing Research at Dundee?

The University of Dundee is at the forefront of computing research. We currently have 23 academics and 35 researchers working alongside our 27 PhD students. Since January 2008 our school of computing has generated 313 publications and counting. In this time, we've produced 129 projects totalling more than £12.3 million in funding making Dundee a great place to come to engage in computing research.

We encourage a professional, inter-disciplinary and user-centred approach to computer systems design and production, and will enable you to develop the skills so that you can undertake independent research and participate in proposal development and innovation.

Our facilities

You will have 24-hour access to our award winning and purpose-built Queen Mother Building. It has an unusual mixture of lab space and breakout areas, with a range of conventional and special equipment for you to use. It's also easy to work on your own laptop as there is wireless access throughout the building. Our close ties to industry allows us access to facilities such as Windows Azure and Teradata, and university and industry standard software such as Tableau for you to evaluate and use.

Postgraduate culture

The School of Computing maintains a friendly, intimate and supportive atmosphere, and we take pride in the fact that we know all of our students - you're far more than just a matriculation number to us. We have a thriving postgraduate department with regular seminars and guest speakers.

How you will be taught

We know how important it is to be at the leading edge of computing and so you will learn from research-active staff in the School of Computing. Leading researchers teach you and small class sizes mean that they really get to know you, making for an informal and supportive community.

What you will study

You study three taught modules, during the period January-March, making your module selections with your advisor, as follows:
Computing Research Frontiers
One of: Designing Innovative Research OR Research Methods
One of: Human Computer Interaction OR Multi-agent Systems and Grid Computing

Subject to examination performance, you then progress to the individual research project which runs from May to December. You will be based with one of the research groups within the School of Computing:

Assistive & healthcare technologies
Computational systems
Interactive systems design
Space technology centre

How you will be assessed

The taught modules are assessed by continuous assessment plus end of semester examinations in March/April. The project is assessed by dissertation.

Careers

Our students are highly employable:
They develop the expertise that employers want from computing graduates - our Industrial Advisory Board includes experts from a range of industries including Amazon, Scottish Enterprise Tayside, NCR, Chevron and Microsoft
They are prepared for a wide range of good career prospects in computing - the UK faces a massive shortage of graduates qualified to fill the 120,000 new jobs in computing and IT every year

Graduates may also choose to continue to a PhD in the School of Computing or elsewhere.

Computing at the University of Dundee is ranked 21st in the UK according to most recent Times Good University Guide and 12th in the UK according to the Guardian University League Table 2009. The University of Dundee has powered its way to a position as one of Scotland's leading universities with an international reputation for excellence across a range of activities. With over 18,000 students, it is growing fast in both size and reputation. It has performed extremely well in both teaching and research assessment exercises, has spawned a range of spin-out companies to exploit its research and has a model wider-access programme.

Dundee has been described as the largest village in Scotland which gives an indication of how friendly and compact it is. With a population of 150,000 it is not too large but has virtually all the cultural and leisure activities you would expect in a much larger city. It is situated beside a broad estuary of the river Tay, surrounded by hills and farmland, and for lovers of the great outdoors it is hard to imagine another UK location that offers so much all year round on land and water. The University is situated in the centre of Dundee, and everything needed is on the one-stop campus: study facilities, help, advice, leisure activities... yet the attractions of the city centre and the cultural quarter are just a stroll away.

Read less
Industry and commerce have an increasing need for IT-enabled decision makers and business-aware IT professionals. This postgraduate degree is designed to meet that need. Read more
Industry and commerce have an increasing need for IT-enabled decision makers and business-aware IT professionals. This postgraduate degree is designed to meet that need. The degree aims to give students a firm grounding in the knowledge, skills and understanding of computing, software development with a user-centric approach and the global business environment.

Why study MSc Computing with International Business at Dundee?

The MSc in Computing with International Business offers students a practical mix of technical computing modules such as internet programming and software development and business modules like economics for business managers and international business strategy.

At the University of Dundee we have a flexible approach to Computing with International Business. This course can be tailored to suit students with a strong computing background or those with less experience seeking to develop their skills while simultaneously developing their business acumen.

We encourage a professional, inter-disciplinary and user-centred approach to software design and production, and enable you to develop research skills so that you can undertake a major software development project.

What's great about Computing with International Business at Dundee?

International Business at the University of Dundee is well known abroad and as a result, there is a strong multicultural aspect in these classes. Students from countries all over the world like India, China Nigeria and more come here to study giving you the opportunity to work alongside people with a multitude of different ideas, skills and experiences.

The University of Dundee is at the leading edge of computing giving you the opportunity to take advantage of tutelage from leading researchers in an informal and supportive environment.

Your studies will take place in the Queen Mother Building, the University of Dundee’s award-winning epicentre of computing, which boasts an array of conventional and specialised equipment.

The start date is September each year. The MSc course lasts for 12 months and the PGDip lasts for 9 months.

- Degree Combinations
Computing with International Business with Work Placement MSc

How you will be taught

We know how important it is to be at the leading edge and so you will learn from research-active staff. Leading researchers teach you and small class sizes mean that they really get to know you, making for an informal and supportive community.

Industrial collaboration is part of our ethos too, so we regularly include guest experts from industry.

What you will study

You select six taught modules, three per semester, during the period September-April. You make module selections with your advisor, and this will be partially dictated by your background and previous study, plus any timetabling restrictions.

The typical list for students with limited computing background is shown *. Any module which has a significant overlap with your previous education will be disallowed, for students with a computing-related degree this will usually include most of the modules shown +.

Four Computing modules from:

Software Development+
Technology Innovation Management
Computer Vision
Computer Graphics
Computing the User Experience
Big Data Analysis
Database Systems
Secure Internet Programming
Software Engineering+
Agile Engineering
Computing Research Frontiers
Research Methods
Human Computer Interaction and Usability Engineering

Two Business modules from:

Corporate Finance
Performance Management and Reporting
Operations Management and Change
Business Accounting for Non-specialists
Principles of Marketing Practice
International Business Strategy
Global Marketing
Human Resource Management Strategies
Marketing Management and Strategy
Strategic Management Accounting
International Human Resource Management

Subject to examination performance, you then progress to the MSc project which runs from May to September, or to a Diploma project lasting 9 weeks.

Please note that some of the modules in the programme are shared with other masters programmes and some of the teaching and resources may be shared with our BSc programme. These joint classes offer a valuable opportunity to learn from, and discuss the material with, other groups of students with different backgrounds and perspectives.

How you will be assessed

The taught modules are assessed by continuous assessment plus end of semester examinations in December and March/April. The project is assessed by dissertation.

Coursework is often very practical, eg writing computer programs, designing interfaces, writing reports, constructing web sites, testing software, implementing databases, analysing problems or presenting solutions to clients.

Careers

Career opportunities in software development, website design, network support, database development and research, working as computer systems manager, data processing manager, software engineer, computer analyst & programmer, computer & IT consultant.

Our students are highly employable:
They develop the expertise that employers want from computing graduates - our Industrial Advisory Board includes experts from a range of industries including Amazon, Scottish Enterprise Tayside, NCR, Chevron and Microsoft

They are prepared for a wide range of good career prospects in computing - the UK faces a massive shortage of graduates qualified to fill the 120,000 new jobs in computing and IT every year

Computing at the University of Dundee is ranked 21st in the UK according to most recent Times Good University Guide and 12th in the UK according to the Guardian University League Table 2009. The University of Dundee has powered its way to a position as one of Scotland's leading universities with an international reputation for excellence across a range of activities. With over 18,000 students, it is growing fast in both size and reputation. It has performed extremely well in both teaching and research assessment exercises, has spawned a range of spin-out companies to exploit its research and has a model wider-access programme.

With a population of 150,000 Dundee is not too large but has virtually all the cultural and leisure activities you would expect in a much larger city. It is situated beside a broad estuary of the river Tay, surrounded by hills and farmland, and for lovers of the great outdoors it is hard to imagine another UK location that offers so much all year round on land and water. The University is situated in the centre of Dundee, and everything needed is on the one-stop campus: study facilities, help, advice, leisure activities... yet the attractions of the city centre and the cultural quarter are just a stroll away.

Read less
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study High Performance and Scientific Computing at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study High Performance and Scientific Computing at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

The MSc in High Performance and Scientific Computing is for you if you are a graduate in a scientific or engineering discipline and want to specialise in applications of High Performance computing in your chosen scientific area. During your studies in High Performance and Scientific Computing you will develop your computational and scientific knowledge and skills in tandem helping emphasise their inter-dependence.

On the course in High Performance and Scientific Computing you will develop a solid knowledge base of high performance computing tools and concepts with a flexibility in terms of techniques and applications. As s student of the MSc High Performance and Scientific Computing you will take core computational modules in addition to specialising in high performance computing applications in a scientific discipline that defines the route you have chosen (Biosciences, Computer Science, Geography or Physics). You will also be encouraged to take at least one module in a related discipline.

Modules of High Performance and Scientific Computing MSc

The modules you study on the High Performance and Scientific Computing MSc depend on the route you choose and routes are as follows:

Biosciences route (High Performance and Scientific Computing MSc):

Graphics Processor Programming

High Performance Computing in C/C++

Operating Systems and Architectures

Software Testing

Programming in C/C++

Conservation of Aquatic Resources or Environmental Impact Assessment

Ecosystems

Research Project in Environmental Biology

+ 10 credits from optional modules

Computer Science route (High Performance and Scientific Computing MSc):

Graphics Processor Programming

High Performance Computing in C/C++

Operating Systems and Architectures

Software Testing

Programming in C/C++

Partial Differential Equations

Numerics of ODEs and PDEs

Software Engineering

Data Visualization

MSc Project

+ 30 credits from optional modules

Geography route (High Performance and Scientific Computing MSc):

Graphics Processor Programming

High Performance Computing in C/C++

Operating Systems and Architectures

Software Testing

Programming in C/C++

Partial Differential Equations

Numerics of ODEs and PDEs

Modelling Earth Systems or Satellite Remote Sensing or Climate Change – Past, Present and Future or Geographical Information Systems

Research Project

+ 10 credits from optional modules

Physics route (High Performance and Scientific Computing MSc):

Graphics Processor Programming

High Performance Computing in C/C++

Operating Systems and Architectures

Software Testing

Programming in C/C++

Partial Differential Equations

Numerics of ODEs and PDEs

Monte Carlo Methods

Quantum Information Processing

Phase Transitions and Critical Phenomena

Physics Project

+ 20 credits from optional modules

Optional Modules (High Performance and Scientific Computing MSc):

Software Engineering

Data Visualization

Monte Carlo Methods

Quantum Information Processing

Phase Transitions and Critical Phenomena

Modelling Earth Systems

Satellite Remote Sensing

Climate Change – Past, Present and Future

Geographical Information Systems

Conservation of Aquatic Resources

Environmental Impact Assessment

Ecosystems

Facilities

Students of the High Performance and Scientific Computing programme will benefit from the Department that is well-resourced to support research. Swansea physics graduates are more fortunate than most, gaining unique insights into exciting cutting-edge areas of physics due to the specialized research interests of all the teaching staff. This combined with a great staff-student ratio enables individual supervision in advanced final year research projects. Projects range from superconductivity and nano-technology to superstring theory and anti-matter. The success of this programme is apparent in the large proportion of our M.Phys. students who seek to continue with postgraduate programmes in research.

Specialist equipment includes:

a low-energy positron beam with a highfield superconducting magnet for the study of positronium

a number of CW and pulsed laser systems

scanning tunnelling electron and nearfield optical microscopes

a Raman microscope

a 72 CPU parallel cluster

access to the IBM-built ‘Blue C’ Supercomputer at Swansea University and is part of the shared use of the teraflop QCDOC facility based in Edinburgh

The Physics laboratories and teaching rooms were refurbished during 2012 and were officially opened by Professor Lyn Evans, Project Leader of the Large Hadron Collider at CERN. This major refurbishment was made possible through the University’s capital programme, the College of Science, and a generous bequest made to the Physics Department by Dr Gething Morgan Lewis FRSE, an eminent physicist who grew up in Ystalyfera in the Swansea Valley and was educated at Brecon College.



Read less
The MSc in Computing is perfect for students looking to develop upon their previous computing-based qualifications from courses such as Computing, Information Technology, Information Systems, Software Engineering or related disciplines. Read more
The MSc in Computing is perfect for students looking to develop upon their previous computing-based qualifications from courses such as Computing, Information Technology, Information Systems, Software Engineering or related disciplines. This course provides the opportunity and guidance necessary for students to build upon their existing knowledge and gain the skills necessary to succeed in both commercial computing and research.

Why study MSc Computing at Dundee?

This degree programme aims to give students a Masters-level postgraduate education in the knowledge, skills and understanding of computing and software development to enable them to operate effectively in the application of computing in industry, commerce or research.

"The intersection of business models and IT requires people with varied experience, professional versatility, multidiscipline knowledge and technology understanding – a hybrid professional, in other words."
Diane Morello, Vice President and Gartner Fellow, Gartner Inc, 2008

What's so good about MSc Computing at Dundee?

This course is highly flexible, adapting to your skill level to create a programme tailored to suit you. We encourage a professional, inter-disciplinary and user-centred approach to software design and production, and will enable you to develop the skills so that you can undertake a major software development project.

In keeping with our theme of flexibility, this course offers its students a wide choice of individual projects to choose from.

Our facilities

You will have 24-hour access to our award winning and purpose-built Queen Mother Building. It has an unusual mixture of lab space and breakout areas, with a range of conventional and special equipment for you to use. It's also easy to work on your own laptop as there is wireless access throughout the building. Our close ties to industry allows us access to facilities such as Windows Azure and Teradata, and university and industry standard software such as Tableau for you to evaluate and use.

How you will be taught

We know how important it is to be at the leading edge of computing and so you will learn from research-active staff in the School of Computing. Leading researchers teach you and small class sizes mean that they really get to know you, making for an informal and supportive community.

Industrial collaboration is part of our ethos too, so we regularly include guest experts from industry.

What you will study

You select six taught modules, three per semester, during the period September-April. You will make module selections with your advisor, and this will be partially dictated by your background and previous study.

The typical list for students with limited computing background is shown *. Any module which has a significant overlap with your previous education will be disallowed, for students with a computing-related degree this will usually include most of the modules shown +.

The six taught modules will be chosen from topics such as the following:

Software Development+
Technology Innovation Management
Computer Vision
Computer Graphics
Computing the User Experience
Big Data Analysis
Database Systems
Secure Internet Programming
Software Engineering+
Agile Engineering
Computing Research Frontiers
Research Methods
Human Computer Interaction and Usability Engineering


Subject to examination performance, you then progress to the MSc project which runs from May to September, or to a Diploma project lasting 9 weeks.

Please note that some of the modules in the programme are shared with other masters programmes and some of the teaching and resources may be shared with our BSc programme. These joint classes offer a valuable opportunity to learn from, and discuss the material with, other groups of students with different backgrounds and perspectives.

How you will be assessed

The taught modules are assessed by continuous assessment plus end of semester examinations in December and March/April. The project is assessed by dissertation.

Coursework is often very practical, eg writing computer programs, designing interfaces, writing reports, constructing web sites, testing software, implementing databases, analysing problems or presenting solutions to clients.

Careers

Career opportunities in software development, website design, network support, database development and research, working as computer systems manager, data processing manager, software engineer, computer analyst & programmer, computer & IT consultant.

Our students are highly employable:
They develop the expertise that employers want from computing graduates - our Industrial Advisory Board includes experts from a range of industries including Amazon, Scottish Enterprise Tayside, NCR, Chevron and Microsoft
They are prepared for a wide range of good career prospects in computing - the UK faces a massive shortage of graduates qualified to fill the 120,000 new jobs in computing and IT every year

Computing at the University of Dundee is ranked 21st in the UK according to most recent Times Good University Guide and 12th in the UK according to the Guardian University League Table 2009. The University of Dundee has powered its way to a position as one of Scotland's leading universities with an international reputation for excellence across a range of activities. With over 18,000 students, it is growing fast in both size and reputation. It has performed extremely well in both teaching and research assessment exercises, has spawned a range of spin-out companies to exploit its research and has a model wider-access programme.

Dundee has been described as the largest village in Scotland which gives an indication of how friendly and compact it is. With a population of 150,000 it is not too large but has virtually all the cultural and leisure activities you would expect in a much larger city. It is situated beside a broad estuary of the river Tay, surrounded by hills and farmland, and for lovers of the great outdoors it is hard to imagine another UK location that offers so much all year round on land and water. The University is situated in the centre of Dundee, and everything needed is on the one-stop campus: study facilities, help, advice, leisure activities... yet the attractions of the city centre and the cultural quarter are just a stroll away.

Read less
The MPhil programme in Scientific Computing is a full-time 12-month course which aims to provide education of the highest quality at Master’s level. Read more
The MPhil programme in Scientific Computing is a full-time 12-month course which aims to provide education of the highest quality at Master’s level. Covering topics of high-performance scientific computing and advanced numerical methods and techniques, it produces graduates with rigorous research and analytical skills, who are well-equipped to proceed to doctoral research or directly into employment in industry, the professions, and the public service. It also provides training for the academic researchers and teachers of the future, encouraging the pursuit of research in computational methods for science and technology disciplines, thus being an important gateway for entering PhD programmes containing a substantial component of computational modelling.

See the website http://www.graduate.study.cam.ac.uk/courses/directory/pcphmpscm

Course detail

The MPhil in Scientific Computing has a research and a taught element. The research element is a project on a science or technology topic which is studied by means of scientific computation. The taught element comprises of core lecture courses on topics of scientific computing and elective lecture courses relevant to the science or technology topic of the project. Most of the projects are expected to make use of the University’s High Performance Computing Service.

The students will attend lecture courses during Michaelmas Term (some courses may be during Lent Term) and then they will undertake a substantial Research Project over the next 6 months (from March to the end of August) in a participating Department. The research element aims to provide essential skills for continuation to a PhD programme or employment, as well as to assess and enhance the research capacity of the students. It is based on a science or technology topic which is studied by means of scientific computation. Research project topics will be provided by academic supervisors or by the industrial partners who are working with the participating Departments and may be sponsoring the research project.

There is equal examination credit weighting between the taught and the research elements of the course, which is gained by submitting a dissertation on the project and by written assignments and examinations on the core and elective courses, respectively.

Weighting of the assessed course components is as follows: Dissertation (research) 50%; written assignments on the core courses 25%; written examinations on the elective courses 25%.

Learning Outcomes

By the end of the course, students will have:

- a comprehensive understanding of numerical methods, and a thorough knowledge of the literature, applicable to their own research;
- demonstrated originality in the application of knowledge, together with a practical understanding of how research and enquiry are used to create and interpret knowledge in their field;
- shown abilities in the critical evaluation of current research and research techniques and methodologies;
- demonstrated self-direction and originality in tackling and solving problems, and acted autonomously in the planning and implementation of research.

Format

The taught element comprises core lecture courses on topics of all aspects of scientific computing, and elective lecture courses relevant to the topic of the research project.

The taught element comprises core lecture courses on topics of all aspects of scientific computing, and elective lecture courses relevant to the topic of the research project. There is equal examination credit weighting between the taught and the research elements of the course, which is gained by submitting a dissertation on the project and by written assignments and examinations on the core and elective courses, respectively. Weighting of the assessed course components is as follows: Dissertation (research) 50%; written assignments 25%; written examinations 25%.

The core lectures are on topics of high performance scientific computing numerical analysis and advanced numerical methods and techniques. They are organized by the Centre for Scientific Computing and are taught and examined during the first five months (October-February). Their purpose is to provide the students with essential background knowledge for completing their dissertation and for their general education in scientific computing.

In particular, their objective is to introduce students to the simulation science pipeline of problem identification, modelling, simulation and evaluation - all from the perspective of employing high-performance computing. Numerical discretisation of mathematical models will be a priority, with a specific emphasis on understanding the trade-offs (in terms of modelling time, pre-processing time, computational time, and post-processing time) that must be made when solving realistic science and engineering problems. Understanding and working with computational methods and parallel computing will be a high priority. To help the students understand the material, the lecturers will furnish the courses with practical coursework assignments.

The lectures on topics of numerical analysis and HPC are complemented with hands-on practicals using Linux-based laptops provided by the course (students may bring their own), as well as on the University’s High Performance Computing Service.

Appropriate elective lecture courses are selected from Master’s-level courses offered by the Departments of the School of Physical Sciences, Technology or Biological Sciences. The choice of courses will be such as to provide the students with essential background knowledge for completing their theses and for their general education in the materials science application of the project. They are decided in consultation with the project supervisor. While every effort is made within the Departments to arrange the timetable in a coherent fashion, it is inevitable that some combinations of courses will be ruled out by their schedule, particularly if the choices span more than one department.

Continuing

For continuation to a PhD programme in Scientific Computing, students are required to gain a Distinction (overall grade equal or greater than 75%).

How to apply: http://www.graduate.study.cam.ac.uk/applying

Funding Opportunities

There are no specific funding opportunities advertised for this course. For information on more general funding opportunities, please follow the link below.

General Funding Opportunities http://www.graduate.study.cam.ac.uk/finance/funding

Read less
Cloud computing is revolutionising the way that large, and often complex, datasets are stored and analysed. Our course aims to produce experts in cloud computing and big data required by academia and industry. Read more

Cloud computing is revolutionising the way that large, and often complex, datasets are stored and analysed. Our course aims to produce experts in cloud computing and big data required by academia and industry.

The MRes can only be applied for as part of the four-year (MRes plus PhD) EPSRC Centre for Doctoral Training in Cloud Computing for Big Data. The programme is suitable for students from both computing and mathematical backgrounds. It is very skills-focussed and also offers a high degree of research training.

Our course focuses on both theory and practice so that you can understand and implement cloud computing applications. You will cover key subjects such as advanced object-oriented programming, data mining and big data analytics.

All academic staff involved in teaching cloud computing modules have international reputations for their contributions to the field and some have extensive experience as practitioners in industry.

Delivery

During the MRes you will undertake advanced Masters’ level training in cloud computing and data analytics. The training will begin with a module in either computing science for mathematicians (for those with a statistics background) or statistics for computing scientists (for those from a computer science background).

All students will then be taught topics including statistics for big data, programming for big data, cloud computing, machine learning, big data analytics and time series analysis. The taught component will finish with a substantial group project, where you will have the opportunity to work with students from different backgrounds on a practical industry-focused data analysis problem.

Following this in years 2-4, you will carry out PhD research, guided by PhD supervisors from within the EPSRC Centre for Doctoral Training in Cloud Computing for Big Data, and typically additional advisors from industry.

Facilities

You will have access to free cloud computing resources to manage your research, a purpose-built Decision Theatre and 3D visualisation facility and a 3D printing learning lab.

You will be based in The Core building, where you will have the opportunity to work alongside experts in key areas of computing science, as well as access to industrial partners. You will also receive funding to attend selected conferences in emerging areas of your research discipline. We also offer funding for equipment and software to support your research.



Read less
If your first degree is not in computing but you want to move into IT then our BCS accredited MSc in Computing is designed for you. Read more
If your first degree is not in computing but you want to move into IT then our BCS accredited MSc in Computing is designed for you. Our course provides the basis for starting a career in computing and IT; teaching you the fundamentals of programming, hardware, networks and software engineering.

The course will enable you to develop a sound knowledge of computer software development for a range of problem areas, such as interactive websites, stand-alone applications and network systems. Because of its emphasis on software system construction and management, and data organisation, the qualification is applicable to a wide variety of fields concerned with using computers, as well as directly to the computer industry itself.

Why choose this course?

This programme is rooted in real-world and industry-relevant experiences. Lecturing staff have extensive experience in research and university teaching, as well as a wide range of previous industrial and commercial backgrounds. You will have the opportunity to put the skills you have gained into practice if you choose to undertake our 1 year optional placement.

You will be joining a department with a diverse and truly international postgraduate community. The universal nature of the technical skills developed in our programmes means our courses are of equal relevance to both new graduates and those with many years of industrial experience.

Professional accreditation

BCS, the Chartered Institute for IT. The MSc in Computing is accredited as partially meeting the requirements for CITP and have been awarded the EQANIE (European Quality Assurance Network for Informatics Education) label.

This course in detail

The MSc in Computing has a modular course unit design providing you with maximum flexibility and choice. To qualify for a master’s degree, you must pass modules amounting to 180 credits. This comprises six taught modules (20 credits each) plus your dissertation (60 credits).

The MSc in Computing with placement enables you to work in industry for a year in the middle of your course to give valuable workplace experience. Placements are not guaranteed, but the Department's dedicated placement team will help with the process of finding and applying for placements. To qualify for a Master’s degree with placement, you must pass modules amounting to 180 credits plus the zero credit placement module. This comprises six taught modules (20 credits each) plus your dissertation (60 credits).

The Postgraduate Diploma in Computing allows you to concentrate on the taught part of the degree and is ideal for people working in the computing industry who wish to brush up their skills. To qualify for a Postgraduate Diploma, you must pass modules amounting to 120 credits. This comprises six taught modules (20 credits each). In some cases, it may be possible for a student on a Postgraduate Diploma to do 3 taught modules (20 credits each) plus your dissertation (60 credits).

The Postgraduate Certificate in Computing allows you to concentrate on the taught part of the degree and is ideal for people working in the computing industry who wish to learn a specific area in this rapidly changing discipline. To qualify for a Postgraduate Certificate, you must pass modules amounting to 60 credits. This comprises three taught modules (20 credits each).

We also offer a Postgraduate Certificate Computing Research Project.

Part-time students normally distribute the work evenly over a two-year period.

Semester 1 - You can choose from the following modules:
-Research and Scholarship Methods (compulsory for MSc and PG Dip)
-Object-Oriented Programming (compulsory for MSc and PG Dip)
-Structured Data (compulsory for MSc)

Semester 2 - You can choose from the following modules:
-Computer Systems and Networks (compulsory for MSc and PG Dip)
-Software Production (compulsory for MSc)
-Cyber security and the web (Compulsory for MSc)

As courses are reviewed regularly as part of our quality assurance framework, the list of taught modules you choose from may vary from the list here.

Students undertaking an MSc with placement will do a 1 year placement in industry. The placement will be undertaken after the taught component and before doing the dissertation.

Students studying for an MSc will also take:
-MSc Dissertation (completed over summer)

Careers and professional development

Our MSc students come from all over the world and graduate to follow careers in technical, business-related and creative roles, for example as developers, engineers, IT managers or web developers. Whatever their interest, our graduates tell us that the relevance of our courses and the skills they've learnt enable them to achieve their goals and build their careers.

Read less
Cloud computing is revolutionising the way that large, and often complex, datasets are stored and analysed. Our Cloud Computing MSc aims to produce experts with practical experience who can work with companies from around the world to realise the business benefits of this exciting technology. Read more
Cloud computing is revolutionising the way that large, and often complex, datasets are stored and analysed. Our Cloud Computing MSc aims to produce experts with practical experience who can work with companies from around the world to realise the business benefits of this exciting technology.

Our course focuses on both theory and practice so that you can understand and implement cloud computing applications. You will cover key subjects such as advanced object-oriented programming, data mining and big data analytics.

Through this course you will develop both your technical and professional skills to underpin personal development and future career success. Our comprehensive research training provides a basis for PhD study.

This is a demanding and rewarding course. We have close links to research by the Scalable Systems Group and the Digital Institute in the School of Computing Science. Our Cloud Computing research also has links with companies such as Red Hat and Hewlett-Packard. They often employ our graduates and also offer summer project internships to students.

Our graduates have an excellent record of finding employment. Recent examples include Software Engineer for IBM UK and Software Developer for Red Hat.

All academic staff involved in teaching cloud computing modules have international reputations for their contributions to the field and some have extensive experience as practitioners in industry.

As a student on this course, you will be encouraged to play a full part in the life of the School, participating in seminars delivered by distinguished external speakers. Our experienced and helpful staff are happy to offer support with all aspects of your course from admissions to graduation and developing your career. The course is part of a suite of related courses, which creates a tight-knit cohort.

Delivery

Our Cloud Computing MSc can be completed full time or part time. The course typically starts in mid-September and is delivered on our Newcastle campus.

Full time students are taught in three blocks. Each block is timetabled to accommodate all formal lectures and practical sessions for the modules covered in that block. This arrangement is to provide the foundational knowledge necessary to study the modules covered in later blocks. For example, Advanced OO Programming, covered in the first block, provides the essential background for Enterprise Middleware in the second block which, in turn, supports understanding of the concepts and tools for Cloud Computing and System Design in the third block.

Modules worth 60 credits are taught in the first three months and are assessed through written examinations conducted in mid-January. The remaining 120 credits worth of study are assessed by coursework and project work. Of these 120 credits, the individual project is worth 90 credits and is carried out in the last five months.

Part time students have the flexibility to study over two years. The only constraint is that you must be examined for modules worth at least 30 credits in the January of your first year. The part time version of the course is designed to encourage participation of employees from local IT companies. As a part time student you can carry out your individual project in your place of work, as long as the supervisory processes in place meet University standards.

Project work

You will need to demonstrate your understanding and competence in cloud computing during the taught part of the course before you can proceed with your individual project. There are no formal lectures during this period. Your five month individual project gives you an opportunity to develop and deepen your knowledge and skills, and to work in a research or development team. For your project you will build a challenging and comprehensive cloud computing application, from design to prototype development, testing and demonstration. You can develop your project either at the University under an academic supervisor or by securing an industrial placement through an open competition. You will have one-to-one supervision from an experienced member of staff, supported with supervision from industry partners as required.

The project can be carried out in:
-One of our research groups at Newcastle
-An industry laboratory
-Your place of work

Accreditation

We have a policy of seeking British Computer Society (BCS) accreditation for all of our degrees, so you can be assured that you will graduate with a degree that meets the standards set out by the IT industry. Studying a BCS-accredited degree provides the foundation for professional membership of the BCS on graduation and is the first step to becoming a chartered IT professional.

The School of Computing Science at Newcastle University is an accredited and recognised Partner in the Network of Teaching Excellence in Computer Science.

Read less
Graduates who are able to fully exploit the potential of computing and information systems by combining specialist technical skills with other knowledge and experience are highly sought after. Read more
Graduates who are able to fully exploit the potential of computing and information systems by combining specialist technical skills with other knowledge and experience are highly sought after.

If your first degree contained little or no technical experience, but you’re now looking to change direction or enhance your employability by developing your skills in this area, then this programme (commonly referred to as a ‘conversion course’) is for you.

Guided by academics with a wealth of industrial experience, this is an intensive MSc programme for highly motivated graduates of any discipline with little prior experience of computer science.

Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

Read less
This qualification develops a rigorous approach to the study and application of computing, and incorporates transferable skills that are highly applicable to professional development in the field. Read more

MSc in Computing

This qualification develops a rigorous approach to the study and application of computing, and incorporates transferable skills that are highly applicable to professional development in the field. You can choose between the flexible MSc in Computing (offering a wide choice of industry relevant modules), and the more focused MSc in Computing (Software Engineering) or MSc in Computing (Information Security and Forensics), which enable you to develop in-depth specialist knowledge. All three routes finish with a substantial independent project, with either a professional or research orientation. The professional project engages in a research scenario in an employment-related setting of your choice, while the research project enables you to design a research proposal relating to an issue or problem of professional relevance to you or an employer, institution or public body.

Key features of the course

•Brings together theory and practice and draws on your own background and experience
•Enables you to tailor your studies to your specific career needs and professional interests
•Provides an excellent platform for further research studies.

This qualification is eligible for a Postgraduate Loan available from Student Finance England.

Modules

There are three pathways available for this degree:

•MSc in Computing
•MSc in Computing (Software Engineering)
•MSc in Computing (Information Security and Forensics)

We advise you to begin with modules from the first list for each pathway before moving on to the second.

MSc in Computing

To gain this qualification, you need 180 credits as follows:

60 credits from the optional modules in List A:

List A:

• Data management (M816)
• Digital forensics (M812)
• Information security (M811)
• Project management (M815)
• Software development (M813)
• Software engineering (M814)

Plus

A further 60 credits from List A, or from List B:

List B: optional modules

• Advanced routing CCNP 1 (T824)
• Continuing professional development in practice (U810)
• Managing systemic change: inquiry, action and interaction (TU812)
• Managing technological innovation (T848)
• Network security (T828)
• Problem solving and improvement: quality and other approaches (T889)
• Strategic capabilities for technological innovation (T849)
• Thinking strategically: systems tools for managing change (TU811)

Plus

60 credits from either the Research route or Professional route:

Research route

Compulsory module

• Research project (T802)

Professional route

Compulsory module

• The MSc professional project (T847)

Plus

A further 30 credits from List B, or any 30-credit module at OU Level 3 or above.

MSc in Computing (Software Engineering)

To gain this qualification, you need 180 credits as follows:

60 credits of compulsory modules (starting with M813):

Compulsory modules

• Software development (M813)
• Software engineering (M814)

Plus

60 credits from List C:

List C: optional modules

• Advanced routing CCNP 1 (T824)
• Continuing professional development in practice (U810)
• Data management (M816)
• Digital forensics (M812)
• Information security (M811)
• Managing systemic change: inquiry, action and interaction (TU812)
• Managing technological innovation (T848)
• Network security (T828)
• Problem solving and improvement: quality and other approaches (T889)
• Project management (M815)
• Strategic capabilities for technological innovation (T849)
• Thinking strategically: systems tools for managing change (TU811)

Plus

60 credits from either the Research route or Professional route:

Research route

Compulsory module

• Research project (T802)

Professional route

Compulsory module

• The MSc professional project (T847)

Plus a further 30 credits from List C, or any 30-credit module at OU Level 3 or above.

MSc in Computing (Information Security and Forensics)

To gain this qualification, you need 180 credits as follows:

60 credits of compulsory modules (starting with M811):

Compulsory modules

• Information security (M811)
• Digital forensics (M812)

Plus

60 credits from List D:

List D: optional modules

• Advanced routing CCNP 1 (T824)
• Continuing professional development in practice (U810)
• Data management (M816)
• Managing systemic change: inquiry, action and interaction (TU812)
• Managing technological innovation (T848)
• Network security (T828)
• Problem solving and improvement: quality and other approaches (T889)
• Project management (M815)
• Software development (M813)
• Software engineering (M814)
• Strategic capabilities for technological innovation (T849)
• Thinking strategically: systems tools for managing change (TU811)

Plus

60 credits from either the Research route or Professional route:

Research route

Compulsory module

• Research project (T802)

Professional route

Compulsory module

• The MSc professional project (T847)

Plus a further 30 credits from List D, or any 30-credit module at OU Level 3 or above.

The modules quoted in this description are currently available for study. However, as we review the curriculum on a regular basis, the exact selection may change over time.

Credit transfer

If you have already completed some successful study at postgraduate level at another institution you may be able to transfer credit for this study and count it towards this Open University qualification. If you wish to apply to transfer credit you must do so as soon as possible as it may affect your choice of OU modules. If you are awarded credit for study completed elsewhere, you may find that you need to study fewer OU modules to complete your qualification with us.

Visit our Credit Transfer site for more information and details of how to apply for credit transfer.

Read less
We offer Industrial Experience options on all our full-time taught MSc programmes, which combine academic study with a one-year industrial placement between your taught modules and summer project. Read more
We offer Industrial Experience options on all our full-time taught MSc programmes, which combine academic study with a one-year industrial placement between your taught modules and summer project. Taking the Industrial Experience option as part of your degree gives you a route to develop real-world, practical problem-solving skills gained through your programme of study in a professional context.

This can give you an important edge in the graduate job market. As a leading research School, we have excellent links with industry. We also employ dedicated staff to help you arrange your year in industry. The Industrial Experience programmes are highly competitive and attract the best students given the limited availability of placements. We are unable to guarantee all students secure an industrial placement, as our industrial partners conduct their own employment application and interview processes.

The MSc in Sound and Music Computing responds to a growing skills shortage in industry for engineers and computer scientists trained specifically in sound and music processing, as digital media become ever more advanced and ubiquitous.

Developed by the acclaimed Centre for Digital Music (C4DM), this programme offers you a broad range of study options in methods of processing, analysis, synthesis and manipulation of musical signals. You will develop the knowledge and skills required for careers in the technical aspects of audio production, sound engineering, broadcasting, intelligent signal processing, computational music analysis, music information retrieval and other areas of sound and music computing. You will acquire an in-depth understanding of data analysis and signal processing techniques related to human speech and hearing, psychoacoustics and masking, and instrument and room acoustics.

The MSc is intended for graduates in a related discipline, who wish to hone and enhance their skills, and for industrialists with experience of sound and music computing, seeking formal qualifications. The taught modules are fully supported with computing and laboratory work.

You will graduate with an understanding of how today's audio and music technology works, possessing the potential to become a pioneer in developing future generations of leading edge music technologies.

This programme will:

Allow you to shape your own programme, by selecting two optional modules per semester to complement the core modules in Sound and Music Computing.
Give you and understanding of how today’s music and audio technology works, but also help you to become a leader in developing the next generation of sound and music computing technology.
Give you an understanding of the design and software development process for music recording, analysis and synthesis for home, studio and live performance environments.
Graduates from our programmes have gone on to work for companies such as Ableton, Last FM and Mix Genius.

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

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

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

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

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

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

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

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

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

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

Why Computer Science?

Excellent partnerships

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

State of the art teaching and research

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

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

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

Teaching

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

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

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

Career prospects

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

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

Read less
Got a love for computing and technology? Hoping to build on the skills you learnt during your undergraduate studies? This essential applied computing masters is well suited to students from a business IT or computing background, helping you to build on existing skills and develop an advanced understanding. Read more

Got a love for computing and technology? Hoping to build on the skills you learnt during your undergraduate studies? This essential applied computing masters is well suited to students from a business IT or computing background, helping you to build on existing skills and develop an advanced understanding.

Southampton Solent University’s applied computing masters programme places a unique emphasis on graduate employability, focusing on developing the specific skills that industry employers are seeking.

One of the ways that the course team ensure the curriculum is achieving this goal is through regular consultations with an industry liaison panel. This panel advises the course team on the latest industry developments and the course content is changed accordingly.

These strong links with industry have provided previous School of Media Arts and Technology students with access to a range of work experience opportunities, case studies and guest lectures.

Computing students at Southampton Solent have the opportunity to use industry standard facilities throughout their studies. Our EC Council certified security and networking labs feature a wide variety of equipment from Cisco (including Cisco Packet Tracer), Fluke and HP, as well as high-fidelity simulation systems like the market-leading Opnet. Students also have free access to our devices lab, where they can test their web design projects on a variety of different computing devices.

Students are supported to develop a range of transferable skills throughout the course. These include project management, problem solving and analytical skills that empower students to work in a range of different industries after graduation. Students will also develop high-level academic skills, perfect for those who are hoping to pursue a PhD.

What does this course lead to?

Optional units provide students with the opportunity to specialise in particular areas of computing and business IT – laying the groundwork for a successful career in management, strategic planning or system development.

Who is this course for?

This master’s course is well-suited to those with a computing or business IT background, and who have either an undergraduate degree or extensive industrial experience in the area. The option choices within the course are ideal for those who wish to focus on a particular niche within computing.

What you will study

Year one

Core units

  • Research Methods
  • Professional Issues and Practice
  • Pilot Project
  • Research Project

Three optional units from:

  • Data Mining and Analytics
  • Application Development
  • Project Management
  • Enterprise Information Security
  • Usability and UX Design
  • Advanced IP Routing
  • Advanced IP Switched Networks

Please note: Not all optional units are guaranteed to run each year.

Facilities

During your studies you will learn to build information systems using a variety of professional-grade software packages. You will also have access to our state-of-the-art IT laboratories; depending on your choice of options you may have access to our specialised network security laboratory or usability lab with eye-tracking facilities.

You’ll have access to our devices lab, a special test area integrated with our existing software development spaces. The devices lab consists of a range of the latest mobile devices mounted on flexible tethers, allowing you to test your websites and apps on real equipment.

Your future

Suitable roles for graduates include:

  • Business Analyst
  • Project manager
  • Database manager
  • Digital marketer
  • Software developer
  • Web Developer
  • Application development
  • Project manager
  • Senior database analyst
  • Senior user experience analyst
  • Software architect
  • Network deployment specialist.

Industry links

Course content is developed with input from an industrial liaison panel, making sure that your studies include the latest technology and working practice from industry experts.

You’ll also have the chance to work directly with real-world companies on live briefs, events and projects, while regular BCS meetings hosted at the University are your chance to build professional connections and secure valuable work experience opportunities.



Read less
If you've graduated from a non-computing subject and are looking to enhance your computer skills this could be the right course for you. Read more

Why Dundee

If you've graduated from a non-computing subject and are looking to enhance your computer skills this could be the right course for you. This MSc in Applied Computing course allows students to move forward from their previous studies and expand their knowledge into the world of computing.

With a strong focus on software development, this course is far more than just an introduction to the basics of computing. It will drive you deeper into the understanding of engineering computer programs and databases.

The course is based on practical, real-world assignments to provide great experience for your future career. As it is modelled on good practice within the industry, the MSc in Applied Computing ensures that students are kept up-to-date and instilled with a high level of employability.

You will have the opportunity to develop your projects by injecting your own personality into them, reflecting your own personal preferences within your practical work. The course also encourages a high degree of autonomy, functioning in a manner best described as 'assisted self-learning.'

Our facilities

You will have 24-hour access to our award winning and purpose-built Queen Mother Building. It has an unusual mixture of lab space and breakout areas, with a range of conventional and special equipment for you to use. It's also easy to work on your own laptop as there is wireless access throughout the building. Our close ties to industry allows us access to facilities such as Windows Azure and Teradata, and university and industry standard software such as Tableau for you to evaluate and use.

The University maintains a friendly, intimate and supportive atmosphere, and we take pride in the fact that we know all of our students. We have a thriving postgraduate department with regular seminars and guest speakers.

Who should study this course?

The MSc in Applied Computing is for students that have graduated from subjects other than computing, but have a keen interest in developing their computing knowledge and skills.

Teaching & Assessment

- How you will be taught

We know how important it is to be at the leading edge of computing and so you will learn from our University's research-active computing staff. Leading researchers teach you and small class sizes mean that they really get to know you, making for an informal and supportive community.

Industrial collaboration is part of our ethos too, so we regularly include guest experts from industry.

- How you will be assessed

The taught modules are assessed by continuous assessment plus end of semester examinations in December and March/April. The project is assessed by dissertation.

Coursework is often very practical, e.g. writing computer programs, designing interfaces, writing reports, constructing web sites, testing software, implementing databases, analysing problems or presenting solutions to clients.

What you will study

Over two semesters (between September and April) students will undertake 6 taught modules covering:

Internet and Computer Systems
Software Engineering
Software Development and Advanced Programming using C++
Graphical User Interfaces
Human-Computer Interaction
Database Systems
Detailed module guides are available online.

Please note that some of the modules in the programme are shared with other masters programmes and some of the teaching and resources may be shared with our BSc programme. These joint classes offer a valuable opportunity to learn from, and discuss the material with, other groups of students with different backgrounds and perspectives.

Employability

Possible career paths include software development, website design, network support, database development and research, working as computer systems manager, data processing manager, software engineer, computer analyst & programmer, computer & IT consultant.

Read less
The impact of Information Systems on everyday life continually expands at a monumental rate. Computing is increasingly embedded in everything we use from; transport, financial and telecommunications systems to everyday personal items such as toothbrushes and running shoes. Read more
The impact of Information Systems on everyday life continually expands at a monumental rate. Computing is increasingly embedded in everything we use from; transport, financial and telecommunications systems to everyday personal items such as toothbrushes and running shoes. The pervasive nature of computing coupled with the ever increasing demand for improved products and services drives the discovery of innovative solutions through the use of information systems. This has led to a critical dependence emerging between computing and practically all industries.

Graduates and engineers who are able to fully exploit the potential that computing and information systems offer within a range industries including, Retail, Manufacturing, Health, and Communications; are highly sought after. If you are looking to further your employment options in your current industry, but have little or no technical experience, then this programme is for you.

* This programme is suited to students from a non-IT background or with little prior technical experience who want to further enhance or or change career focus, to widen employment opportunities in a vast selection of computing related industries and sectors.
* Designed for non-IT professionals who want to develop a firm technical foundation in the latest industry relevant programming languages and software development techniqus (agile, which can open up more technical and senior level positions in their current industry.
* Guided by academics with an extensive spectrum of industrial experience, the programme introduces you to the core aspects of computing and allows you to choose from a variety of optional specialist modules, such as Mobile Devices and Social Networks, Business Technology Strategy and Graphical User Interface design, developing both your practical and theoretical skills.
* The core modules introduce aspects of computing, including a double module in object-oriented programming (using Java) and a double module in information systems.
* These core modules are supplemented by optional specialist modules covering a broad range of subjects relevant to the software industry, such as Network Planning, Finance and Management, Entrepreneurship in Information Technology and Decision and Risk.
* Your project work will typically involve the design and implementation of a significant piece of software within your chosen specialism. Projects undertaken for external organisations focusing on an industrial or commercial application encouraged.
* You will learn about and develop extensive technical knowledge of the latest developments in new languages and tools for web systems (XML, Advanced databases, Semantic web).
* This intensive one year programme is aimed at students without a background in Computer Science � it is a conversion course for those who want a career in computing.

Why study with us?

Queen Mary has a prestigious history in computing and electronic engineering, we had one of the first Computer Science Departments in the country, and The School of Electronic Engineering and Computer Science is rated in the top 20 universities in the UK for studying computer science and electronic engineering.

The best things I have found about the course have been the breadth of content available and the quality of teaching.
Anuruddha Jaithirtha

* This programme is available part-time
* It permits students to follow a technical or business focus
* There is a wide range of employment-relevant module choices
* Early coverage of Networks in core modules
* There are lectures and laboratories specific to students on this programme, a number of modules have invited talks from commercial and other organisations
* Up-to-date modules in real-time and critical systems, functional programming and security, intelligent and multi-agent systems (such as Siri), and web-based document databases

Read less

Show 10 15 30 per page



Cookie Policy    X