• University of Derby Online Learning Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • Birmingham City University Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • University of Bristol Featured Masters Courses
  • University of Surrey Featured Masters Courses
  • Aberystwyth University Featured Masters Courses
Nottingham Trent University Featured Masters Courses
University College Cork Featured Masters Courses
Liverpool John Moores University Featured Masters Courses
University of the West of England, Bristol Featured Masters Courses
University of Bath Featured Masters Courses
"computer" AND "sciences"…×
0 miles

Masters Degrees (Computer Sciences)

We have 1,134 Masters Degrees (Computer Sciences)

  • "computer" AND "sciences" ×
  • clear all
Showing 1 to 15 of 1,134
Order by 
To be ready for the challenges of teacher training and teaching the developing Computing curriculum, your subject knowledge and understanding of information technology and computer science has to be of a sufficient standard. Read more

To be ready for the challenges of teacher training and teaching the developing Computing curriculum, your subject knowledge and understanding of information technology and computer science has to be of a sufficient standard.

Introducing your course

Do you want to teach Computer Science but don't have a Computer Science degree or A level qualification? Want to change your life with a career that will see you providing children with an invaluable digital and computing education that will ensure their future employment? Take the SKE Computer Science Subject Knowledge Enhancement course and gain the essential skills you need to make the most of the PGCE and become a Computer Science teacher. There is no better gateway course for preparing you for the challenges of teacher training in Computer Science.

Overview

Our new SKE programme in Computer Science is a course for graduates who need to develop a greater depth of subject understanding prior to training for qualified teacher status. We have specifically developed our 12 week programme of face-to-face, online and in-school activities starting in May to equip you with the necessary skills and subject knowledge to teach the computer science elements of Computing across the 11-18 age range.

For more information about SKE, please visit What is subject knowledge enhancement SKE in Computer Science blog page.



Read less
Aim of the program. The M.Sc. program in Computer Engineering aims to provide advanced education and a cutting edge research experience in computer engineering. Read more

Aim of the program

The M.Sc. program in Computer Engineering aims to provide advanced education and a cutting edge research experience in computer engineering. The focus of the program is excellence in research. Graduates of the program can join industry or continue their research careers in Ph.D. in Computer Engineering programs.

The program aims to provide advanced education and a cutting edge research experience in computer engineering or in electrical and computer engineering crossing the boundary of the two disciplines.

Research interests:

• Advanced Design Technologies

• Artificial Intelligence

• Computational Systems Biology

• Cryptography, Security, Privacy

• Intelligent User Interfaces

• Multicore Software Engineering

• Multimedia, vision, and Graphics

• Networked and Distributed systems

• Parallel and Multicore Computing

Faculty Members's sample projects and laboratories



Read less
Do you already have an academic bachelor’s degree in another scientific field and do you want to pursue your academic career in the field of Computer Science?… Read more
Do you already have an academic bachelor’s degree in another scientific field and do you want to pursue your academic career in the field of Computer Science? Then the master’s in Applied Computer Sciences is the programme you’re looking for! It is organised in such a way to accommodate your scientific background and future-oriented academic interests – developing the necessary Computer Science skills by complementing your primary field of expertise. Above all that, we offer a wide variety of highly specialised elective courses.

Approach

The first year of the programme focuses on developing knowledge of computer science concepts and techniques, with respect to the earlier studies. Lectures address both hardware and software. Elective courses in the second year allow applying the skills established in the first year, in a specialization, such as software development, telecommunications, multimedia, numeric engineering, bioinformatics, or robotics, as well as many other possibilities. Practical sessions and a master's thesis are also built into the study program.

 All areas of computer science are covered
The programme offers lectures in all traditional areas of the computer science and also in more specialized fields like software engineering, embedded systems, web design, telecommunications, multimedia, bioinformatics, robotics and many other subjects.

 Adaptable to your background and field of interest
Since Computer Science has become a diffuse area, we decided to organize this programme in a way that it can be adapted to the background and the field of interest of the student. Students start with a number of courses (depending on their background) summarizing the basic concepts in order to gain enough knowledge to be able to take elective courses and to make a master thesis in their field of interest. All this happens in an academic environment where research is done in all topics with great interaction among the researchers and large involvement of the students.

Joint organisation of two departments provides wide range of research topics
Two departments, the Department of Computer Science in the Faculty of Science and the Department of Electronics and Informatics in the Faculty of Engineering, jointly organise the Master programmes. Together, they have more than 200 researchers who cover a wide range of research topics.

Learning outcomes

During the two master years students are able to continue to build on the broad ranging basic scientific knowledge acquired as part of their Bachelor programme, complemented with the Information Technology profile, combining a multidisciplinary engineering training with an in-depth specialisation in Applied Computer Science.

The Master of Science in Applied Sciences and Engineering : Applied Computer Science programme is designed to train young people who are capable of making an effective contribution to the conception, realisation and coaching of projects of scientific and/or technological scope for the benefit of the fast-changing world we live in.

Curriculum

Available on http://www.vub.ac.be/en/study/applied-sciences-and-engineering-applied-computer-science/programme

Admission requirements

Applicants should have at least a bachelor degree in one of the following areas:
- Engineering
- Mathematics
- Geography/Geology
- Biology/ Biochemistry/ Biotechnology/ Chemsitry
- Economics
- Physics
Students holding a Bachelor’s or Master's degree in another field of the exact sciences or engineering can also apply.

Read less
Course presentation. Read more

Course presentation

The specialized training in Medical Informatics is admittedly an essential action to promote and enhance the national technological developments and create added value for the country’s industry.This is confirmed by the investment made by both the government and the private sector in developing information systems that foster the improvement of the quality of services.The objectives of the

course are those of providing a specialization with special emphasis on Healthcare Information Systems and related technologies, and enabling the continuation of studies to students who have already acquired a degree on Healthcare Informatics, Computer Science, Networks Engineering and professionals in the area of Medical Informatics.

  • Joint degree from Polytechnic Institute of Leiria and Oporto’s University

Plano de Estudos (Despacho n.º 13027/2012, D.R. n.º 192, 2.ª série de 3 de outubro)

Goals

It is expected that the students which are able to successfully conclude this Master course will:

  • Be able to apply the knowledge and the skills in problem solving acquired in familiar and unfamiliar situations, in wide and multidisciplinary contexts;
  • Possess the capacity to integrate knowledge, deal with complex situations, develop solutions and provide adequate analysis in situation in which the information available is either limited or incomplete, including reflections on the implications and ethical and social responsibilities that may result from those solutions;
  • Be able to communicate conclusions an the knowledge acquired to specialists in the Medical Informatics area, as well as to non-specialists in a clear and unambiguous fashion;
  • Possess competences that allow them to continuously learn throught their lives in a self oriented and autonomous fashion.

International Students

All information related to the international student application should be consulted on our International Students webpage.

Conditions of admission

People who can apply to the Master’s Degree:

  1. Holders of an undergraduate degree or a legal equivalent in Computer Sciences for Healthcare, Electrical and Electronic Engineering, Biomechanics, and Health Equipment Technology;
  2. Holders of a foreign higher education diploma, granted after a first cycle of studies, under the principles of the Bologna Process, by a State, which has subscribed this Process, in Computer Sciences for Healthcare, Electrical and Electronic Engineering, Biomechanics, and Health Equipment Technology;
  3. Holders of a foreign higher education diploma that is recognized as meeting the objectives of an undergraduate degree by the Technical and Scientific Council of the School of Technology and Management, in Computer Sciences for Healthcare, Electrical and Electronic Engineering, Biomechanics, and Health Equipment Technology;
  4. Holders of an academic, scientific or professional curriculum that is recognized as certifying the skills to attend this cycle of studies by the Technical and Scientific Council of the School of Technology and Management.

More information

http://www.dei.estg.ipleiria.pt/mgsi

For information on scholarships, visit this page.



Read less
This two-year master’s programme Computer Science offers stimulating, significant and innovative research at an internationally renowned institute and combines theoretical, experimental and applied approaches. Read more

This two-year master’s programme Computer Science offers stimulating, significant and innovative research at an internationally renowned institute and combines theoretical, experimental and applied approaches.

What does this master’s programme entail?

The two-year master’s programme in Computer Science offers six specialisations which combine excellent theoretical teaching with possibilities for applied work with industrial relevance. This is achieved by intensive collaboration with companies at the Leiden Centre of Data Science. Course themes include topics such as Evolutionary Algorithms, Neural Networks, Databases and Data Mining, Swarm-Based Computation, Bayesian Networks, Multimedia Systems, Embedded Systems and Software, Advanced Compilers and Architectures, Bio-Modeling and Petri Nets.

Read more about our Computer Science programme.

Why study Computer Science at Leiden University?

  • Interdisciplinary research opportunities as well as industrial applications provide you with exciting possibilities. The industrial application areas and interdisciplinary activities include, among others: Bioinformatics and Life Sciences, Medicine, Pharma, Physics, Engineering Applications, Logistics Applications, Energy and Utility related Applications and Financial Applications.
  • You will benefit from our diverse collaborations and the possibilities for internships and projects with our partners such as BMW, ING and Strukton.
  • You have ample of opportunities to assemble your own study path: an individually tailored programme will be designed for each student.

Find more reasons to choose Computer Science at Leiden University.

Computer Science: the right master’s programme for you?

The programme is open for students with an internationally recognized bachelor’s degree in computer science or equivalent. You will be trained as an independent researcher, equipped with the necessary skills to advance your career as a computer scientist.

Read more about the entry requirements for Computer Science.

Specialisations



Read less
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Science. Read more

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

The MSc in Computer Science: Informatique is a Dual Degree scheme between Swansea University and Université Grenoble Alpes for computer science.

The MSc in Computer Science: Informatique Grenoble dual degree scheme is a two year programme that provides students with an opportunity to study in both Swansea, UK and Grenoble, France. One year of the Computer Science: Informatique programme students study at Swansea University and the second year of the programme students study at Université Grenoble Alpes. Upon successful completion of the programme, students will receive an M.Sc. in Advanced Computer Science from Swansea University and a Master from Université Grenoble Alpes.

Key Features of Computer Science: Informatique MSc

- We are top in the UK for career prospects [Guardian University Guide 2018]

- 5th in the UK overall [Guardian University Guide 2018]7th in the UK for student satisfaction with 98% [National Student Survey 2016]

- We are in the UK Top 10 for teaching quality [Times & Sunday Times University Guide 2017]

- 12th in the UK overall and Top in Wales [Times & Sunday Times University Guide 2017]

- 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]

- UK TOP 20 for Research Excellence [Research Excellence Framework 2014]

- Our Project Fair allows students to present their work to local industry

- Strong links with industry

- £31m Computational Foundry for computer and mathematical sciences will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)

- Top University in Wales [Times & Sunday Times University Guide 2017]

Modules of Computer Science: Informatique MSc

Modules on the MSc in Computer Science: Informatique may include:

Critical Systems; IT-Security: Theory and Practice; Visual Analytics; Data Science Research Methods and Seminars; Big Data and Data Mining; Data Visualization; Human Computer Interaction; Big Data and Machine Learning; Web Application Development; High Performance Computing in C/C++; Software Testing; Graphics Processor Programming; Embedded System Design; Mathematical Skills for Data Scientists; Logic in Computer Science; Computer Vision and Pattern Recognition; High-Performance Computing in C/C++; Hardware and Devices; Modelling and Verification Techniques; Operating Systems and Architectures.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of our expansion, we are building the Computational Foundry on our Bay Campus for computer and mathematical sciences. This development is exciting news for Swansea Mathematics who are part of the vibrant and growing community of world-class research leaders drawn from computer and mathematical sciences.

Careers

All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

94% of our Postgraduate Taught Computer Science Graduates were in professional level work or study [DLHE 14/15].

Some example job titles include:

Software Engineer: Motorola Solutions

Change Coordinator: Logica

Software Developer/Engineer: NS Technology

Workflow Developer: Irwin Mitchell

IT Developer: Crimsan Consultants

Consultant: Crimsan Consultants

Programmer: Evil Twin Artworks

Web Developer & Web Support: VSI Thinking

Software Developer: Wireless Innovations

Associate Business Application Analyst: CDC Software

Software Developer: OpenBet Technologies

Technical Support Consultant: Alterian

Programming: Rock It

Software Developer: BMJ Group

Research

The results of the Research Excellence Framework (REF) 2014 show that Swansea Computer Science ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).



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

The MSc in Computer Science course is for you if you are a graduate from one of a wide range of disciplines and are looking to change direction or because of the needs of your chosen career, require a solid foundation in Computer Science.

As the use of computers and computer based systems continues to grow in all aspects of life, at home and at work, it is apparent that there will be for years to come a need for many people who can combine a knowledge of Computer Science, the discipline that underlies Information Technology, and degree level knowledge in a wide variety of other disciplines.

Over the duration of the MSc Computer Science course you will study a variety of modules taught by academic staff that are part of internationally renowned research groups. The course is also regularly updated to ensure that it keeps pace with the rapid developments in Computer Science.

Key Features of Computer Science MSc

• We are top in the UK for career prospects*

• We are 3rd in the UK for teaching quality**

• 5th in the UK overall*

• 7th in the UK for student satisfaction with 98% [National Student Survey 2016]

• 7th in the UK overall and Top in Wales*

• High employability prospects - we are 8th in the UK for graduate prospects*

• 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]

• UK TOP 20 for Research Excellence [Research Excellence Framework 2014]

• Our Project Fair allows students to present their work to local industry

• Strong links with industry

• £31m Computational Foundry for computer and mathematical sciences will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)

*Guardian University Guide 2017

**Times & Sunday Times University Guide 2016

Modules of Computer Science MSc

Modules for the MSc in Computer Science include Computer Science Project Research Methods but please visit our course page for more information.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Careers

All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

94% of our Postgraduate Taught Graduates of Computer Science were in professional level work or study [DLHE 14/15].

Student Profile

“I chose the MSc Computer Science as a conversion from my previous War and Society degree, primarily employment opportunities. The course was by no means easy for me coming from an arts background, and the first few weeks I felt a little over my head, but thanks to the truly stimulating content from the syllabus and the high quality of the teaching within the department I soon caught up and began to thrive on the course. My project revolved around a comparative study of the Haskell Web-Framework Yesod and ASP.NET. During the completion of this I picked up many of the skills that I now use on an everyday basis in my role at Kinspeed (A Sheffield based Software House). Since starting work I have been able to apply many of the skills I obtained during my time at Swansea and have no doubt that choosing to study the MSc Computer Science at Swansea was one of the better decisions of my life.”

Chris Swires

Research

The results of the Research Excellence Framework (REF) 2014 show that Swansea Computer Science ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).



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

On the MSc in Advanced Computer Science course you will be thoroughly prepared for a career in IT or related industries. The Advanced Computer Science course is for you if you are a Computer Science graduate or if you have gained experience of computing and programming in a different first degree. Willingness to work hard and an ability to problem solve are equally important for this MSc in Advanced Computer Science. The MSc in Advanced Computer Science course will develop the skills and knowledge you have gained from your first degree by broadening and deepening your knowledge of Computer Science through a variety of advanced modules and material. The MSc in Advanced Computer Science is accredited by the British Computer Society.

Key Features of Advanced Computer Science MSc

• We are top in the UK for career prospects*

• We are 3rd in the UK for teaching quality**

• 5th in the UK overall*

• 7th in the UK for student satisfaction with 98% [National Student Survey 2016]

• 7th in the UK overall and Top in Wales*

• High employability prospects - we are 8th in the UK for graduate prospects*

• 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]

• UK TOP 20 for Research Excellence [Research Excellence Framework 2014]

• Our Project Fair allows students to present their work to local industry

• Strong links with industry

• £31m Computational Foundry for computer and mathematical sciences will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)

*Guardian University Guide 2017

**Times & Sunday Times University Guide 2016

Modules of Advanced Computer Science MSc

Modules for the MSc in Advanced Computer Science include Computer Science Project Research Methods but please visit our course page for more information.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Careers

All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

94% of our Postgraduate Taught Graduates of Computer Science were in professional level work or study [DLHE 14/15]

Student Profile

Francesca Madeddu, originally from Italy, completed an outstanding Master’s thesis (which earned her a distinction) investigating interaction with augmented reality on mobile devices. More specifically, she investigated how to interact with virtual Egyptian artefacts placed in real scenes. The final game was deployed at Swansea's Egypt Centre last year and was evaluated by volunteers working at the museum. A Master’s thesis does not often lead to a publication. However, part of Francesca's research was written up as an extended abstract and presented at Computer Graphics and Visual Computing (CGVC), a Eurographics UK conference for visual computing last year. An exceptional achievement!



Read less
Researchers in the School of Biological Sciences conduct cutting-edge research across a broad range of biological disciplines. genomics, biotechnology, cell biology, sensory biology, animal behaviour and evolution, population biology, host-disease interactions and ecosystem services, to name but a few. Read more
Researchers in the School of Biological Sciences conduct cutting-edge research across a broad range of biological disciplines: genomics, biotechnology, cell biology, sensory biology, animal behaviour and evolution, population biology, host-disease interactions and ecosystem services, to name but a few.

In 2014 the school relocated to a new £54 million, state-of-the-art Life Sciences building. Our new laboratory facilities are among the best in the world, with critical '-omics' technologies and associated computing capacity (bioinformatics) a core component. The new building is designed to foster our already strong collaborative and convivial environment, and includes a world-leading centre for evolutionary biology research in collaboration with key researchers from earth sciences, biochemistry, social medicine, chemistry and computer sciences. The school has strong links with local industry, including BBC Bristol, Bristol Zoo and the Botanic Gardens. We have a lively, international postgraduate community of about 150 research students. Our stimulating environment and excellent graduate school training and support provide excellent opportunities to develop future careers.

Research groups

The underlying theme of our research is the search for an understanding of the function, evolution, development and regulation of complex systems, pursued using the latest technologies, from '-omics' to nanoscience, and mathematical modelling tools. Our research is organised around four main themes that reflect our strengths and interests: evolutionary biology; animal behaviour and sensory biology; plant and agricultural sciences; and ecology and environmental change.

Evolutionary Biology
The theme of evolutionary biology runs through all our research in the School of Biological Sciences. Research in this theme seeks to understand organismal evolution and biodiversity using a range of approaches and study systems. We have particular strengths in evolutionary genomics, phylogenetics and phylogenomics, population genetics, and evolutionary theory and computer modelling.

Animal Behaviour and Sensory Biology
Research is aimed at understanding the adaptive significance of behaviour, from underlying neural mechanisms ('how', or proximate, questions) to evolutionary explanations of function ('why', or ultimate, questions). The approach is strongly interdisciplinary, using diverse physiological and biomechanical techniques, behavioural experiments, computer modelling and molecular biology to link from the genetic foundations through to the evolution of behaviour and sensory systems.

Plant and Agricultural Sciences
The global issue of food security unifies research in this theme, which ranges from molecular-based analysis of plant development, signal transduction and disease, to ecological studies of agricultural and livestock production systems. We have particular strengths in functional genomics, bioinformatics, plant developmental biology, plant pathology and parasite biology, livestock parasitology and agricultural systems biology. Our research is helped by the LESARS endowment, which funds research of agricultural relevance.

Ecology and Environmental Change
Research seeks to understand ecological relations between organisms (plant, animal or microbe) at individual, population and community levels, as well as between organisms and their environments. Assessing the effect of climate change on these ecological processes is also fundamental to our research. Key research areas within this theme include community ecology, restoration ecology, conservation, evolutionary responses to climate change and freshwater ecology. Our research has many applied angles, such as ecosystem management, wildlife conservation, environmental and biological control, agricultural practice and informing policy.

Careers

Many postgraduate students choose a higher degree because they enjoy their subject and subsequently go on to work in a related area. An Office of Science and Technology survey found that around three-quarters of BBSRC- and NERC-funded postgraduates went on to a job related to their study subject.

Postgraduate study is often a requirement for becoming a researcher, scientist, academic journal editor and for work in some public bodies or private companies. Around 60 per cent of biological sciences doctoral graduates continue in research. Academic research tends to be contract-based with few permanent posts, but the school has a strong track record in supporting the careers of young researchers by helping them to find postdoctoral positions or develop fellowship applications.

Read less
Full-time program for 1 academic year (60 ECT credits) in English. The Master of Multidisciplinary Research in Experimental Sciences is a joint academic program of the Department of Experimental and Health Sciences of UPF (DCEXS, UPF) and the Barcelona Institute of Science and Technology (BIST). Read more

Overview

Full-time program for 1 academic year (60 ECT credits) in English.
The Master of Multidisciplinary Research in Experimental Sciences is a joint academic program of the Department of Experimental and Health Sciences of UPF (DCEXS, UPF) and the Barcelona Institute of Science and Technology (BIST). This new program offers highly flexible and personalized hands-on research training in a multidisciplinary research environment.
In addition to the research aspect, the master’s will also develop talented scientists through experiential training in professional skills such as scientific communication, project management, responsible research and innovation.

You can get an overview of the course here: https://www.upf.edu/web/masters/master-of-multidisciplinary-research-in-experimental-sciences

Course Structure

The master of Multidisciplinary Research in Experimental Sciences is designed to provide outstanding students with the skills and abilities needed to thrive in an increasingly multidisciplinary contemporary research environment.
A key feature of the program is in-depth hands-on research training in multiple fields. Students undertake a 6-month major project, and a 10-week minor project in two different research disciplines in leading research institutions from the Barcelona Institute of Science and Technology (BIST) and the Department of Experimental and Health Sciences (DCEXS). Students are provided with extensive training in professional research skill, and engage directly with and learn from outstanding local and international researchers.
The participating institutes are:
Centre for Genomic Regulation (CRG) http://www.crg.eu/
Institute of Photonic Sciences (ICFO) https://icfo.eu/
Institute of Chemical Research of Catalonia (ICIQ) http://www.iciq.org/
Catalan Institute for Nanoscience and Nanotechnology (ICN2) http://icn2.cat/en/
High Energy Physics Institute (IFAE) http://www.ifae.es/eng/
Institute for Research in Biomedicine (IRB Barcelona) https://www.irbbarcelona.org/en
Department of Experimental and Health Sciences (DCEXS)

Fellowships

The master's program offers 15 fully-funded competitive fellowships to outstanding candidates. The fellowships cover tuition fees, a monthly living allowance and a mobility allowance. Please inquire for details.

You can get more information on the Masters course structure here: http://bist.eu/master/

Description

The program is aimed at candidates who intend to undertake a PhD or pursue a research career in fundamental science and technology. The program is open to candidates who hold a degree in health sciences, engineering, computer sciences or degrees in basic scientific disciplines (chemistry, physics, biology, or mathematics).
Through the program, students will acquire the following skills:
• basic skills and knowledge needed to carry out advanced and interdisciplinary research projects in one or more of the fields of research
• the ability to acquire, in an independent manner, the knowledge and the practical skills currently necessary to respond to the demands of an open and complex environment which is based on knowledge
• the ability to work effectively on complex research projects in a multidisciplinary environment
The program is based on experiential learning through work on selected research projects and the supervision of group leaders from a large variety of research areas offered by the BIST research centers and the Department of Health and Experimental Sciences of UPF . The available areas of research are listed at the bottom of the BIST Research page.

You can get more information on the course and admissions dates here: http://bist.eu/master/

Read less
Focus on computer science. The Master of Information Sciences will give you in-depth knowledge and expertise in computer science. Read more

Focus on computer science

The Master of Information Sciences will give you in-depth knowledge and expertise in computer science.

Find out more about the Master of Information Sciences parent structure.

Massey University’s Master of Information Sciences (Computer Science) will give you the knowledge and skills you need to gain a more in-depth understanding of computer science and to advance your career.You will learn how to apply knowledge of ICT technologies and/or management with both a broad world-view and at a specialty level. If you wish to have a broader-based qualification the Master of Science (Computer Science) may be suitable for you.

Flexibility of focus

Within computer science you can make the most of our lecturer’s research expertise to focus on topics that interest you such as:

  • Massey Auckland: artificial intelligence, compilers, computer graphics, computer vision, parallel and distributed computing, operating systems and advanced computer systems.
  • Massey Palmerston North: empirical software engineering, program verification, human-computer interaction, technology - support learning, artificial intelligence, smart environment, machine learning, scientific computing, health informatics and graph algorithms.

In demand

A report by Absolute IT showed that IT employers are seeking increasing numbers of staff. In Auckland alone 75% of IT employers are planning to recruit additional staff and contractors in 2016. The majority of the hiring is taking place because of increased demand and new projects.

The research showed that high demand areas are now software development, business analysis, project management and data/database. These are the key areas of information sciences you can study at Massey.

Giving you relevant work experience

A professional practice project is a major part of this masters. You will have the opportunity to lead real projects for real companies on real issues that they wish to solve. This experience can directly lead to roles and add substantial value to your resume when you are seeking employment.

Complete in 1.5 years

Massey University’s Master of Information Sciences is a 180 credit master qualification offering a rigorous programme of learning that can be achieved in one and a half years full-time study.

Giving you relevant work experience

A professional practice project is a major part of this master’s. You will have the opportunity to lead real projects for real companies on real issues that they wish to solve. This experience can directly lead to roles and add substantial value to your resume when you are seeking employment.

Research-led learning

Massey teaching is research-led and our academics are ranked among the best in the world. Our teaching staff are widely published and are in demand as keynote speakers on topical global issues. International visitors regularly seek out visits to our science facilities to learn more about what we do.

Accessible lecturers

We work to help you succeed. Massey University offers smaller classes and more personalised learning, giving you greater access to lecturers and the help you need to succeed and thrive during your master’s study.

Relevant learning

Your lecturers and supervisors at Massey have strong connections with the industry. We work to ensure that our teaching fits with the changing environment, which means you will emerge with a relevant qualification valued by potential employers.

Why postgraduate study?

Postgraduate study is hard work but hugely rewarding and empowering. The Master of Information Sciences will push you to produce your best creative, strategic and theoretical ideas. The workload replicates the high-pressure environment of senior workplace roles.

Not just more of the same

Postgraduate study is not just ‘more of the same’ undergraduate study. Our experts are there to guide but if you have come from undergraduate study, you will find that postgraduate study demands more in-depth and independent study. It takes you to a new level in knowledge and expertise especially in planning and undertaking research.



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

This MRes in Computer Modelling in Engineering programme consists of two streams: students may choose to specialise in either structures or fluids. The taught modules provide a good grounding in computer modelling and in the finite element method, in particular.

Key Features of MRes in Computer Modelling in Engineering

Computer simulation is now an established discipline that has an important role to play in engineering, science and in newly emerging areas of interdisciplinary research.

Using mathematical modelling as the basis, computational methods provide procedures which, with the aid of the computer, allow complex problems to be solved. The techniques play an ever-increasing role in industry and there is further emphasis to apply the methodology to other important areas such as medicine and the life sciences.

The Zienkiewicz Centre for Computational Engineering, within which this course is run, has excellent computing facilities, including a state-of-the-art multi-processor super computer with virtual reality facilities and high-speed networking.

This Computer Modelling in Engineering course is suitable for those who are interested in gaining a solid understanding of computer modelling, specialising in either structures or fluids, and taking the skills gained through this course to develop their career in industry or research.

If you would like to qualify as a Chartered Engineer, this course is accredited with providing the additional educational components for the further learning needed to qualify as a Chartered Engineer, as set out by UK and European engineering professional institutions.

Modules

Modules on the Computer Modelling in Engineering programme typically include:

• Finite Element and Computational Analysis

• Numerical Methods for Partial Differential Equations

• Solid Mechanics

• Advanced Fluid Mechanics

• Dynamics and Transient Analysis

• Communication Skills for Research Engineers

• MRes Research Project

Accreditation

The MRes Computer Modelling in Engineering course is accredited by the Joint Board of Moderators (JBM).

The Joint Board of Moderators (JBM) is composed of the Institution of Civil Engineers (ICE), the Institution of Structural Engineers (IStructE), the Chartered Institution of Highways and Transportation (CIHT), and the Institute of Highway Engineers (IHE).

The MRes Computer Modelling in Engineering degree is accredited as meeting the requirements for Further Learning for a Chartered Engineer (CEng) for candidates who have already acquired an Accredited CEng (Partial) BEng(Hons) or an Accredited IEng (Full) BEng/BSc (Hons) undergraduate first degree.

The MRes Computer Modelling in Engineering degree has been accredited by the JBM under licence from the UK regulator, the Engineering Council.

Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng). Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.

Links with Industry

The Civil and Computational Engineering Centre has an extensive track record of industrial collaboration and contributes to many exciting projects, including the aerodynamics for the current World Land Speed Record car, Thrust SSC, and the future BLOODHOUND SSC, and the design of the double-decker super-jet Airbus A380.

Examples of recent collaborators and sponsoring agencies include: ABB, Audi, BAE Systems, British Gas, Cinpress, DERA, Dti, EADS, EPSRC, European Union, HEFCW, HSE, Hyder, Mobil, NASA, Quinshield, Rolls-Royce, South West Water, Sumitomo Shell, Unilever, US Army, WDA.

Student Quotes

“I was attracted to the MRes course at Swansea as the subject matter was just what I was looking for.

I previously worked as a Cardiovascular Research Assistant at the Murdoch Children’s Research Institute in Melbourne. My employer, the Head of the Cardiology Department, encouraged me to develop skills in modelling as this has a lot of potential to help answer some current questions and controversies in the field. I was looking for a Master’s level course that could provide me with computational modelling skills that I could apply to blood flow problems, particularly those arising from congenital heart disease.

The College of Engineering at Swansea is certainly a good choice. In the computational modelling area, it is one of the leading centres in the world (they wrote the textbook, literally). A lot of people I knew in Swansea initially came to study for a couple of years, but then ended up never leaving. I can see how that could happen.”

Jonathan Mynard, MRes Computer Modelling in Engineering, then PhD at the University of Melbourne, currently post-doctoral fellow at the Biomedical Simulation Laboratory, University of Toronto, Canada

Careers

Employment in a wide range of industries, which require the skills developed during the Computer Modelling in Engineering course, from aerospace to the medical sector. Computational modelling techniques have developed in importance to provide solutions to complex problems and as a graduate of this course, you will be able to utilise your highly sought-after skills in industry or research.

Research

The Research Excellence Framework (REF) 2014 ranks Engineering at Swansea as 10th in the UK for the combined score in research quality across the Engineering disciplines.

World-leading research

The REF shows that 94% of research produced by our academic staff is of World-Leading (4*) or Internationally Excellent (3*) quality. This has increased from 73% in the 2008 RAE.

Research pioneered at the College of Engineering harnesses the expertise of academic staff within the department. This ground-breaking multidisciplinary research informs our world-class teaching with several of our staff leaders in their fields.

Highlights of the Engineering results according to the General Engineering Unit of Assessment:

Research Environment at Swansea ranked 2nd in the UK

Research Impact ranked 10th in the UK

Research Power (3*/4* Equivalent staff) ranked 10th in the UK



Read less
Ideal for you if you are a professional with a background in computer engineering, communication systems or electronic/electrical engineering, and provides you with the skills and knowledge needed to move into computer networking. Read more

Ideal for you if you are a professional with a background in computer engineering, communication systems or electronic/electrical engineering, and provides you with the skills and knowledge needed to move into computer networking. It is particularly useful for people working in companies that rely on constant innovation in electronics, computer engineering and communications.

Computer networks currently provide the infrastructure for most, businesses, educational institutions, retailers, manufacturers and public services. Many companies rely increasingly on computer and network engineering, which is now a global discipline.

This course is hardware and software based, and examines the design, specification, and integration of current and next generation computer and communications network technologies.

This course provides an opportunity for you to

  • increase the depth of your technical knowledge
  • develop your computer hardware and software skills
  • gain a thorough working knowledge of computer engineering
  • study the latest technologies used in modern day computer networking systems and their applications
  • gain the skills needed to design, develop and maintain computer network systems

You may wish to expand your current knowledge and expertise if you already have computer networking skills or possibly move into a new area of engineering and have the necessary entry requirements for this course.

Professional recognition

This programme is CEng accredited by the Institution of Engineering and Technology (IET) and fulfils the educational requirements for registration as a Chartered Engineer when presented with an CEng accredited Bachelors programme.

Course structure

Full time – September start – typically 12 or 18 months

Full time – January start – typically 12 or 18 months

Part time – September start – typically 36 months

Part time – January start – typically 36 months

The course is based around two main themes, communication and networks, and computer engineering. You study eight modules plus a major project.

Communications and network modules

At least three from

  • communication engineering
  • communication media
  • communication networks
  • network applications

Computer engineering modules

At least three from

  • microprocessor engineering
  • object-oriented methods
  • operating systems
  • software engineering

Option modules

Up to two from

  • applicable artificial intelligence
  • digital signal processing
  • embedded systems
  • mixed signal design
  • electrical energy systems
  • efficient machines and electromagnetic applications

Project (equivalent to four modules)

You undertake a major project under the supervision of a tutor.

Assessment

By final examination, coursework and project reports

Employability

Information technology, communications, computer networks and electronics are among some of the fastest growing areas of the economy. By completing this course, you gain a thorough understanding of computer networking systems with the knowledge and expertise to enable you to apply your skills within many areas of industry, or take up a position in higher education or research.



Read less
The Master of Computer Science is a two-year (120 ECTS) advanced study in computer science organized by the Vrije Universiteit Brussel, a Flemish university located in Brussels, Belgium. Read more
The Master of Computer Science is a two-year (120 ECTS) advanced study in computer science organized by the Vrije Universiteit Brussel, a Flemish university located in Brussels, Belgium. This English-speaking programme is designed for students with a solid, basic academic background in computer science (Bachelor in Computer Science). The objectives of the programme are to provide a deeper understanding and knowledge of various specializations of computer science and to prepare the student for an active role in computer science research and development. The following specializations are offered: Artificial Intelligence, Multimedia, Software Engineering and Web & Information Systems.

Course outline

All students study a core programme of 30 credits; do a research training of 6 credits and a master thesis of 24 credits. Students should choose one out of four specializations: Artificial Intelligence, Multimedia, Software Engineering, or Web & Information Systems. 30 credits should be spent to mandatory and optional courses within the chosen specialization. The 24 remaining optional courses can be taken within the specialization or from another specialization. Finally, 6 credits can be chosen completely freely form any of the VUB courses. This brings the total to 120 ECTS credits. The master thesis as well as the research training needs to be related to the chosen specialization.

Specializations offered

 Artificial Intelligence
The focus in this specialization is on building intelligent software artifacts. The theories of complex dynamic systems and self-organization are emphasized starting from the theory of complex dynamic systems as developed in related fields such as mathematics, physics, and biology. Students will be exposed to current research in the areas of adaptive systems, multi-agent systems, and the origins of language.

 Multimedia
Students in this specialization will conduct in-depth exploration of techniques for signal processing and communication of multimedia content. The program is designed to build thorough technological and scientific knowledge of various multimedia domains such as digital television, telephony and video phony, computer animation, computer games, and the Internet. Students will gain experience with complex ICT architectures for the processing, distribution, and consumption of multimedia content.

 Software Engineering
In this specialization, students gain the skills needed to build complex software applications and software intensive systems. Students are also taught scientifically sound methods, as well as the newest techniques and tools for the developing of software. The curriculum also includes research topics in programming languages and integrated development environments.

 Web & Information Systems
This specialization is geared towards information system development and application development in the context of the Web. Students will learn about data and semantic representation techniques and acquire thorough technological and scientific knowledge related to the newest technological developments for the Web. Students can participate is research in the area of ontologies, new media systems (multimedia, Virtual Reality, games, social systems), and the "Internet of Things".

Read less
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Modelling and Finite Elements in Engineering Mechanics 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 Computer Modelling and Finite Elements in Engineering Mechanics at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

Swansea University has been at the forefront of international research in the area of computational engineering. Internationally renowned engineers at Swansea pioneered the development of numerical techniques, such as the finite element method, and associated computational procedures that have enabled the solution of many complex engineering problems. As a student on the Master's course in Computer Modelling and Finite Elements in Engineering Mechanics, you will find the course utilises the expertise of academic staff to provide high-quality postgraduate training.

Key Features: Computer Modelling and Finite Elements in Engineering Mechanics

Computer simulation is now an established discipline that has an important role to play in engineering, science and in newly emerging areas of interdisciplinary research.

Using mathematical modelling as the basis, computational methods provide procedures which, with the aid of the computer, allow complex problems to be solved. The techniques play an ever-increasing role in industry and there is further emphasis to apply the methodology to other important areas such as medicine and the life sciences.

This Computer Modelling and Finite Elements in Engineering Mechanics course provides a solid foundation in computer modelling and the finite element method in particular.

The Zienkiewicz Centre for Computational Engineering, within which this course is run, has excellent computing facilities, including a state-of-the-art multi-processor super computer with virtual reality facilities and high-speed networking.

Modules

Modules on the Computer Modelling and Finite Elements in Engineering Mechanics course can vary each year but you could expect to study:

Reservoir Modelling and Simulation

Solid Mechanics

Finite Element Computational Analysis

Advanced Fluid Mechanics

Computational Plasticity

Fluid-Structure Interaction

Nonlinear Continuum Mechanics

Computational Fluid Dynamics

Dynamics and Transient Analysis

Computational Case Study

Communication Skills for Research Engineers

Numerical Methods for Partial Differential Equations

Accreditation

The MSc Computer Modelling and Finite Elements in Engineering Mechanics course is accredited by the Joint Board of Moderators (JBM).

The Joint Board of Moderators (JBM) is composed of the Institution of Civil Engineers (ICE), the Institution of Structural Engineers (IStructE), the Chartered Institution of Highways and Transportation (CIHT), and the Institute of Highway Engineers (IHE).

The MSc Computer Modelling and Finite Elements in Engineering Mechanics degree is accredited as meeting the requirements for Further Learning for a Chartered Engineer (CEng) for candidates who have already acquired an Accredited CEng (Partial) BEng(Hons) or an Accredited IEng (Full) BEng/BSc (Hons) undergraduate first degree.

The MSc Computer Modelling and Finite Elements in Engineering Mechanics degree has been accredited by the JBM under licence from the UK regulator, the Engineering Council.

Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng). Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.

Facilities

Our new home at the innovative Bay Campus provides some of the best university facilities in the UK, in an outstanding location.

Hardware includes a 450 cpu Cluster, high-end graphics workstations and high-speed network links. Extensive software packages include both in-house developed and 'off-the-shelf' commercial.

Links with Industry

The Zienkiewicz Centre for Computational Engineering has an extensive track record of industrial collaboration and contributes to many exciting projects, including the aerodynamics for the current World Land Speed Record car, Thrust SSC, and the future BLOODHOUND SSC, and the design of the double-decker super-jet Airbus A380.

Careers

Employment in a wide range of industries, which require the skills developed during the Computer Modelling and Finite Elements in Engineering Mechanics course, from aerospace to the medical sector. Computational modelling techniques have developed in importance to provide solutions to complex problems and as a graduate of this course in Computer Modelling and Finite Elements in Engineering Mechanics, you will be able to utilise your highly sought-after skills in industry or research.

Research

The Research Excellence Framework (REF) 2014 ranks Engineering at Swansea as 10th in the UK for the combined score in research quality across the Engineering disciplines.

The REF assesses the quality of research in the UK Higher Education sector, assuring us of the standards we strive for.

World-Leading Research

The REF shows that 94% of research produced by our academic staff is of World-Leading (4*) or Internationally Excellent (3*) quality. This has increased from 73% in the 2008 RAE.

Research pioneered at the College of Engineering harnesses the expertise of academic staff within the department. This ground-breaking multidisciplinary research informs our world-class teaching with several of our staff leaders in their fields.



Read less

Show 10 15 30 per page



Cookie Policy    X