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Masters Degrees (Visual Computing)

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

The MRes Visual Computing is an ideal preparation for following a career of research or specialism within the area of study. In particular the MRes in Visual Computing seeks to prepare you for further research in the areas of Computer Graphics, Computer Vision, Medical Imaging, and Scientific Visualisation.

We seek strongly motivated students who are able to carry out substantial individual study. Such students are likely to want to control their own time, carry out curiosity driven research to an advanced level, and follow self-study material in advanced topics.

You will decide upon your topic of research in discussion with your supervisor in an exciting and recent area of Visual Computing. In collaboration with your supervisor you will evaluate current research and carry your own research programme based on the contribution you will make. The research programme is supported by taught courses covering useful literature and skills.

Course Content

Research Component

The main part of the MRes in Visual Computing is a substantial and challenging project involving cutting edge research. The project is an exciting opportunity for you to carry out research in the area of Visual Computing. You will produce an abstract of your work, a scientific paper, carry out a presentation and produce your final dissertation.

Taught Component

In addition to the research project, you can choose from a range of modules that provide skills and development training in different areas.

Modules available currently include:

Computer Vision and Pattern Recognition (compulsory)

Data Visualisation (compulsory)

Graphics Processor Programming (compulsory)

Research Methodology (compulsory)

Visual Computing Project Development (compulsory)

Distributed Object-Oriented Programming

Interaction Technologies: Information Retrieval

High Performance Computing in C/C++

Interaction Technologies: Hardware and Devices

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]

Research

The results of the Research Excellence Framework (REF) 2014 show that we lead Wales in the field of Computer Science and are in the UK Top 20.

We are 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*).



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Why study Visual Computing and Communication?. Visual Computing and Communication focuses on the acquisition, processing, analysis, transmission, and rendering of visual information, including aspects of learning and decision making. Read more

Why study Visual Computing and Communication?

Visual Computing and Communication focuses on the acquisition, processing, analysis, transmission, and rendering of visual information, including aspects of learning and decision making. It is an interdisciplinary programme at the intersection of computer science and information technology where students can be active in the areas of image processing and communication, image analysis, computer vision, computer graphics, augmented reality, visualisation, visual analytics, as well as web-based and network applications. Our graduates combine technological and business aspects to create products and services for our ocular-centric world.

Why choose Visual Computing and Communication at EIT Digital?

Visual Computing and Communication is a perfect Masters education for those who are fascinated by the algorithms and services that handle visual information in today’s digital society. Students with excellent skills in data and signal processing, linear algebra, probability, and programming will thrive on this programme, which provides opportunities to solve real-world problems and to create new innovative solutions. There is a growing community of technologists and innovators in this challenging, yet rewarding field.

What are the career opportunities?

Our graduates become professionals with an expertise in dealing with visual information. Some may work on computer vision problems in the area of robotics or autonomous vehicles. Others may work on visualisation problems for visual analytics. Many may be drawn to the new world of augmented reality. Careers are made, for example, as an engineer at a telecommunications company, a software developer in the area of e-commerce, a technology innovation consultant, the founder of a tech start-up chasing global markets, or even a PhD researcher at a university in Europe.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the I&E minor please click here.

Where can I study Visual Computing and Communication?

Entry - 1st year (common courses)

  • Delft University of Technology (TUD)
  • Royal Institute of Technology (KTH)
  • University of Trento (UniTN)

Exit - 2nd year (specialisation)

  • Communication Services and Applications at BME
  • Computer Vision and Multimedia Analysis at UniTN
  • Mobile Visual Computing at KTH
  • Visual Analytics and Pattern Recognition at TUD
  • Web-based Applications at Aalto

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



Read less
Why study Visual Computing and Communication?. Visual Computing and Communication focuses on the acquisition, processing, analysis, transmission, and rendering of visual information, including aspects of learning and decision making. Read more

Why study Visual Computing and Communication?

Visual Computing and Communication focuses on the acquisition, processing, analysis, transmission, and rendering of visual information, including aspects of learning and decision making. It is an interdisciplinary programme at the intersection of computer science and information technology where students can be active in the areas of image processing and communication, image analysis, computer vision, computer graphics, augmented reality, visualisation, visual analytics, as well as web-based and network applications. Our graduates combine technological and business aspects to create products and services for our ocular-centric world.

Why choose Visual Computing and Communication at EIT Digital?

Visual Computing and Communication is a perfect Masters education for those who are fascinated by the algorithms and services that handle visual information in today’s digital society. Students with excellent skills in data and signal processing, linear algebra, probability, and programming will thrive on this programme, which provides opportunities to solve real-world problems and to create new innovative solutions. There is a growing community of technologists and innovators in this challenging, yet rewarding field.

What are the career opportunities?

Our graduates become professionals with an expertise in dealing with visual information. Some may work on computer vision problems in the area of robotics or autonomous vehicles. Others may work on visualisation problems for visual analytics. Many may be drawn to the new world of augmented reality. Careers are made, for example, as an engineer at a telecommunications company, a software developer in the area of e-commerce, a technology innovation consultant, the founder of a tech start-up chasing global markets, or even a PhD researcher at a university in Europe.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the I&E minor please click here.

Where can I study Visual Computing and Communication?

Entry - 1st year (common courses)

  • Delft University of Technology (TUD)
  • Royal Institute of Technology (KTH)
  • University of Trento (UniTN)

Exit - 2nd year (specialisation)

  • Communication Services and Applications at BME
  • Computer Vision and Multimedia Analysis at UniTN
  • Mobile Visual Computing at KTH
  • Visual Analytics and Pattern Recognition at TUD
  • Web-based Applications at Aalto

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



Read less
Why study Visual Computing and Communication?. Visual Computing and Communication focuses on the acquisition, processing, analysis, transmission, and rendering of visual information, including aspects of learning and decision making. Read more

Why study Visual Computing and Communication?

Visual Computing and Communication focuses on the acquisition, processing, analysis, transmission, and rendering of visual information, including aspects of learning and decision making. It is an interdisciplinary programme at the intersection of computer science and information technology where students can be active in the areas of image processing and communication, image analysis, computer vision, computer graphics, augmented reality, visualisation, visual analytics, as well as web-based and network applications. Our graduates combine technological and business aspects to create products and services for our ocular-centric world.

Why choose Visual Computing and Communication at EIT Digital?

Visual Computing and Communication is a perfect Masters education for those who are fascinated by the algorithms and services that handle visual information in today’s digital society. Students with excellent skills in data and signal processing, linear algebra, probability, and programming will thrive on this programme, which provides opportunities to solve real-world problems and to create new innovative solutions. There is a growing community of technologists and innovators in this challenging, yet rewarding field.

What are the career opportunities?

Our graduates become professionals with an expertise in dealing with visual information. Some may work on computer vision problems in the area of robotics or autonomous vehicles. Others may work on visualisation problems for visual analytics. Many may be drawn to the new world of augmented reality. Careers are made, for example, as an engineer at a telecommunications company, a software developer in the area of e-commerce, a technology innovation consultant, the founder of a tech start-up chasing global markets, or even a PhD researcher at a university in Europe.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the I&E minor please click here.

Where can I study Visual Computing and Communication?

Entry - 1st year (common courses)

  • Delft University of Technology (TUD)
  • Royal Institute of Technology (KTH)
  • University of Trento (UniTN)

Exit - 2nd year (specialisation)

  • Communication Services and Applications at BME
  • Computer Vision and Multimedia Analysis at UniTN
  • Mobile Visual Computing at KTH
  • Visual Analytics and Pattern Recognition at TUD
  • Web-based Applications at Aalto

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



Read less
Why study Visual Computing and Communication?. Visual Computing and Communication focuses on the acquisition, processing, analysis, transmission, and rendering of visual information, including aspects of learning and decision making. Read more

Why study Visual Computing and Communication?

Visual Computing and Communication focuses on the acquisition, processing, analysis, transmission, and rendering of visual information, including aspects of learning and decision making. It is an interdisciplinary programme at the intersection of computer science and information technology where students can be active in the areas of image processing and communication, image analysis, computer vision, computer graphics, augmented reality, visualisation, visual analytics, as well as web-based and network applications. Our graduates combine technological and business aspects to create products and services for our ocular-centric world.

Why choose Visual Computing and Communication at EIT Digital?

Visual Computing and Communication is a perfect Masters education for those who are fascinated by the algorithms and services that handle visual information in today’s digital society. Students with excellent skills in data and signal processing, linear algebra, probability, and programming will thrive on this programme, which provides opportunities to solve real-world problems and to create new innovative solutions. There is a growing community of technologists and innovators in this challenging, yet rewarding field.

What are the career opportunities?

Our graduates become professionals with an expertise in dealing with visual information. Some may work on computer vision problems in the area of robotics or autonomous vehicles. Others may work on visualisation problems for visual analytics. Many may be drawn to the new world of augmented reality. Careers are made, for example, as an engineer at a telecommunications company, a software developer in the area of e-commerce, a technology innovation consultant, the founder of a tech start-up chasing global markets, or even a PhD researcher at a university in Europe.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the I&E minor please click here.

Where can I study Visual Computing and Communication?

Entry - 1st year (common courses)

  • Delft University of Technology (TUD)
  • Royal Institute of Technology (KTH)
  • University of Trento (UniTN)

Exit - 2nd year (specialisation)

  • Communication Services and Applications at BME
  • Computer Vision and Multimedia Analysis at UniTN
  • Mobile Visual Computing at KTH
  • Visual Analytics and Pattern Recognition at TUD
  • Web-based Applications at Aalto

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



Read less
Why study Visual Computing and Communication?. Visual Computing and Communication focuses on the acquisition, processing, analysis, transmission, and rendering of visual information, including aspects of learning and decision making. Read more

Why study Visual Computing and Communication?

Visual Computing and Communication focuses on the acquisition, processing, analysis, transmission, and rendering of visual information, including aspects of learning and decision making. It is an interdisciplinary programme at the intersection of computer science and information technology where students can be active in the areas of image processing and communication, image analysis, computer vision, computer graphics, augmented reality, visualisation, visual analytics, as well as web-based and network applications. Our graduates combine technological and business aspects to create products and services for our ocular-centric world.

Why choose Visual Computing and Communication at EIT Digital?

Visual Computing and Communication is a perfect Masters education for those who are fascinated by the algorithms and services that handle visual information in today’s digital society. Students with excellent skills in data and signal processing, linear algebra, probability, and programming will thrive on this programme, which provides opportunities to solve real-world problems and to create new innovative solutions. There is a growing community of technologists and innovators in this challenging, yet rewarding field.

What are the career opportunities?

Our graduates become professionals with an expertise in dealing with visual information. Some may work on computer vision problems in the area of robotics or autonomous vehicles. Others may work on visualisation problems for visual analytics. Many may be drawn to the new world of augmented reality. Careers are made, for example, as an engineer at a telecommunications company, a software developer in the area of e-commerce, a technology innovation consultant, the founder of a tech start-up chasing global markets, or even a PhD researcher at a university in Europe.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the I&E minor please click here.

Where can I study Visual Computing and Communication?

Entry - 1st year (common courses)

  • Delft University of Technology (TUD)
  • Royal Institute of Technology (KTH)
  • University of Trento (UniTN)

Exit - 2nd year (specialisation)

  • Communication Services and Applications at BME
  • Computer Vision and Multimedia Analysis at UniTN
  • Mobile Visual Computing at KTH
  • Visual Analytics and Pattern Recognition at TUD
  • Web-based Applications at Aalto

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



Read less
The course provides you with the core skills and confidence required to apply and produce knowledge and understanding of issues surrounding games programming and visual computing. Read more

The course provides you with the core skills and confidence required to apply and produce knowledge and understanding of issues surrounding games programming and visual computing. You will also gain strong practical experience in the latest technologies and programming languages underpinning this field of study. This will enable you to explore, adapt, create and utilise appropriate models, methods, practices, theories and computational techniques in the context of changing and evolving technology. There is the additional opportunity to develop and evaluate new or advanced bespoke solutions appropriate for games programming and visual computing in the modern era. Whether you are a recent graduate or already working in the IT industry and looking to change career paths, this Masters degree provides a great opportunity to enhance your knowledge in this dynamic subject area.

What will I study?

You will learn practical skills in programming using the current techniques that deliver games and other visually demanding media.

The programme enables you to become involved in emerging technologies derived from industry, while also exploring advanced 3D graphics, virtual and augmented realities, multi-service network technologies and advanced programming skills.

How will I study?

The course is delivered through lectures, seminars and tutorials with a mixture of daytime and evening classes. These sessions are highly interactive with a focus on the practical application of concepts and the use of cases drawn from real life. An emphasis on small groups ensures that you will have plenty of opportunities for individual discussions with your tutors.

How will I be assessed?

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

Who will be teaching me?

You will be taught by highly qualified, experienced and enthusiastic academics who research and regularly engage within the wider business and academic environment. Staff specialise in a variety of subjects so you will benefit from a wide range of knowledge and experience. The course team is occasionally supplemented by external IT professionals who are invited to teach particular sessions relevant to their area of expertise.

What are my career prospects?

This MSc equips you with the skills and knowledge required to develop your interests and career in a wide variety of roles. These include, for example, working as a programmer, software engineer or games designer. You may also wish to consider an IT career in the entertainment industry.

You will develop an in-depth knowledge of programming which while related closely to the gaming industry also provided you with skills easily transferred to many other career opportunities.



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This specialism focuses on the study of vision, graphics, intelligent behaviour and biomedical image computing. This taught postgraduate course is aimed at students who may not have studied computing exclusively but who have studied a considerable amount of computing already. Read more

This specialism focuses on the study of vision, graphics, intelligent behaviour and biomedical image computing.

This taught postgraduate course is aimed at students who may not have studied computing exclusively but who have studied a considerable amount of computing already.

If you want to become a specialist in a particular area of computing, this course will provide a first crucial step towards that goal.

Further information

For full information on this course, including how to apply, see: http://www.imperial.ac.uk/study/pg/computing/visual-computing-robotics/

If you have any enquiries you can contact our team at:



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Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains. Read more
Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains.

We offer a two-year Master of Science in Computer Science centered on this emerging field. The backbone of the program is constituted by three core units on advanced data management, machine learning, and high performance computing. Leveraging on the expertise of our faculty, the rest of the program is organised in four tracks, Business Intelligence, Health & Life Sciences, Pervasive Computing, and Visual Computing, each providing a solid grounding in data science and engineering as well as a firm grasp of the domain of interest.

By blending standard classes with recitations and lab sessions our program ensures that each student masters the theoretical foundations and acquires hands-on experience in each subject. In most units credit is obtained by working on a final project. Additional credit is also gained through short-term internship in the industry or in a research lab. The master thesis is worth 25% of the total credit.

TRACKS

• Business Intelligence. This track builds on first hand knowledge of business management and fundamentals of data warehousing, and focuses on data mining, graph analytics, information visualisation, and issues related to data protection and privacy.
• Health & Life Sciences. Starting from core knowledge of signal and image processing, bioinformatics and computational biology, this track covers methods for biomedical image reconstruction, computational neuroengineering, well-being technologies and data protection and privacy.
• Pervasive Computing. Security and ubiquitous computing set the scene for this track which deals with data semantics, large scale software engineering, graph analytics and data protection and privacy.
• Visual Computing. This track lays the basics of signal & image processing and of computer graphics & augmented reality, and covers human computer interaction, computational vision, data visualisation, and computer games.

PROSPECTIVE CAREER

Senior expert in Data Science and Engineering. You will be at the forefront of the high-tech job market since all big companies are investing on data driven approaches for decision making and planning. The Business Intelligence area is highly regarded by consulting companies and large enterprises, while the Health and Life Sciences track is mainly oriented toward biomedical industry and research institutes. Both the Pervasive and the Visual Computing tracks are close to the interests of software companies. For all tracks a job in a start-up company or a career on your own are always in order.

Senior computer scientist.. By personalizing your plan of study you can keep open all the highly qualified job options in software companies.

Further graduate studies.. In all cases, you will be fully qualified to pursue your graduate studies toward a PhD in Computer Science.

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

Computer Science is at the cutting edge of modern technology, is developing rapidly and Swansea Computer Science graduates enjoy excellent employment prospects.

Computer Science now plays a part in almost every aspect of our lives - science, engineering, the media, entertainment, travel, commerce and industry, public services and the home.

The MSc by Research Visual and Interactive Computing enables students to pursue a one year individual programme of research. The Visual and Interactive Computing programme would normally terminate after a year. However, under appropriate circumstances, this first year of research can also be used in a progression to Year 2 of a PhD degree.

As a student of the MSc by Research Visual and Interactive Computing programme, you will be fully integrated into one of our established research groups and participate in research activities such as seminars, workshops, laboratories, and field work.

Key Features of the Visual and Interactive Computing

The Department of Computer Science is amongst the top 25 in the UK, with a growing reputation in research both nationally and internationally. It is home to world class researchers, excellent teaching programmes and fine laboratory facilities.

All postgraduate Computer Science programmes including Visual and Interactive Computing, MSc by Research 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.

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.

Research

The results of the Research Excellence Framework (REF) 2014 show that we lead Wales in the field of Computer Science and are in the UK Top 20.

We are 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*).



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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!



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Designed for computing graduates who wish to differentiate themselves further through an advanced mastery of the discipline, this flagship programme offers exposure to contemporary topics that are driving key technological developments and trends. Read more

Designed for computing graduates who wish to differentiate themselves further through an advanced mastery of the discipline, this flagship programme offers exposure to contemporary topics that are driving key technological developments and trends.

Overview

The MSc Advanced Computer Science will offer you exposure to key topics that are driving key technological developments and trends.

Computer Science is one of the fastest-moving academic disciplines and the outcomes of research and innovation in this field could have a massive social impact.

The subject spans all aspects of modern life, and this programme offers you the opportunity to apply new skills and advanced techniques to the area of your choice, whilst allowing you to demonstrate that you are at the forefront of your discipline.

Core to this programme is the opportunity to further develop the scope of your problem-solving skills by studying advanced programming languages and new programming paradigms.

You will choose to study optional, research-led modules that allow the freedom to build a distinctive personal portfolio of skills and knowledge. These are structured around advanced topics in the School's three core research areas:

  • Complex Systems
  • Visual Computing
  • Data and Knowledge Engineering

Distinctive features

  • This is an advanced computer science degree designed for computing graduates who wish to differentiate themselves further through an advanced mastery of the discipline.
  • In addition to covering core advanced computer science topics, you may select from up to two of three research topics in which to specialise (Complex Systems, Visual Computing, Data and Knowledge Engineering).
  • During the summer months you will undertake an individual research project and complete a dissertation under the supervision of a member of academic research staff. The topic for this will be driven by your own interests.

Learning and assessment

The School of Computer Science and Informatics has a strong and active research culture which informs and directs our teaching. We are committed to providing teaching of the highest standard and received an excellent report in the most recent Quality Assurance Agency (QAA) review.

Modules are delivered through a series of either full- or half-day contact sessions, which include lectures, seminars, workshops, tutorials and laboratory classes.

Most of your taught modules will have further information for you to study and you will be expected to work through this in your own time according to the guidance provided by the lecturer for that module.

Career prospects

Successful graduates will be able to demonstrate to employers both a deep understanding and broad knowledge concerning contemporary computer science from a research and development perspective.

Graduates will be ideally placed to pursue a number of careers such as systems architects, programmers and software developers, and will be in a strong position to pursue a research career via doctoral studies.

The selection of modules on offer aim to enhance your transferable skills and boost employment prospects.



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The ‘with placement’ programme provides the opportunity to undertake a 7-10 month experience as an IT professional for students who successfully find a suitable placement. Read more

The ‘with placement’ programme provides the opportunity to undertake a 7-10 month experience as an IT professional for students who successfully find a suitable placement.

Overview

The MSc Advanced Computer Science with Placement offers students exposure to key topics that are driving emerging technological developments and trends.

Computer Science is one of the fastest moving academic disciplines and the outcomes of research and innovation in this field could have a massive social impact.

The subject spans all aspects of modern life, and this programme offers you the opportunity to apply new skills and advanced techniques to the area of your choice, whilst allowing you to demonstrate that you are at the forefront of your discipline.

Core to this programme is the opportunity to further develop the scope of your problem solving skills by studying advanced programming languages and new programming paradigms.

You will choose to study optional, research-led modules that allow the freedom to build a distinctive personal portfolio of skills and knowledge. These are structured around advanced topics in the School's three core research areas:

  • Complex Systems
  • Visual Computing
  • Data and Knowledge Engineering

You may choose to apply for a paid 7-12 month professional work placement to be undertaken on completion of Spring semester and before completing the MSc course with a 60-credit dissertation. This provides valuable work experience to develop your IT Professional skills.

Distinctive features

  • An advanced computer science degree.
  • Designed for computing graduates who wish to differentiate themselves further through an advanced mastery of the discipline.
  • In addition to coverage of core advanced computer science topics, students may further differentiate themselves by selecting from up to two of three research topics in which to specialise (Complex Systems, Visual Computing, Data and Knowledge Engineering).
  • 7-12 month experience as an IT Professional for students who successfully find a suitable placement.

Learning and assessment

The School of Computer Science and Informatics has a strong and active research culture which informs and directs our teaching. We are committed to providing teaching of the highest standard and received an excellent report in the most recent Quality Assurance Agency (QAA) review.

Modules are delivered through a series of either full or half-day contact sessions, which include lectures, seminars, workshops, tutorials and laboratory classes.

Most of your taught modules will have further information for you to study and you will be expected to work through this in your own time according to the guidance provided by the lecturer for that module.

Career prospects

Graduates from this course will be ideally placed to pursue a number of careers, such as systems architects, programmers and software developers, and could also pursue a research career via doctoral studies.

The selection of modules on offer aim to enhance your transferable skills and boost employment prospects.



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This specialist course focuses on artificial intelligence and knowledge engineering, as well as the development of computational and engineering models of complex cognitive and social behaviours. Read more

This specialist course focuses on artificial intelligence and knowledge engineering, as well as the development of computational and engineering models of complex cognitive and social behaviours.

This taught postgraduate course is aimed at students who may not have studied computing exclusively, but who have studied a considerable amount of computing already.

If you want to become a specialist in a particular area of computing, this course will provide a first crucial step towards that goal.

This specialism focuses on artificial intelligence and knowledge engineering, and the development of computational and engineering models of complex cognitive and social behaviours. Study areas include: cognitive robotics, complexity, complex systems, computational finance, computer networks, and distributed systems. We also offer specialisms in:

  • Computational Management
  • Machine Learning
  • Security and Reliability
  • Software Engineering
  • Visual Computing and Robotics

Each specialism has a flexible mix of breadth and depth, consisting of two or three compulsory modules as well as choices from a selection of core and optional modules.

Further information

For full information on this course, including how to apply, see: http://www.imperial.ac.uk/study/pg/computing/artificial-intelligence/

If you have any enquiries you can contact our team at:



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

MSc in Data Science aims to equip students with a solid grounding in data science concepts and technologies for extracting information and constructing knowledge from data. Students of the MSc Data Science will study the computational principles, methods, and systems for a variety of real world applications that require mathematical foundations, programming skills, critical thinking, and ingenuity. Development of research skills will be an essential element of the Data Science programme so that students can bring a critical perspective to current data science discipline and apply this to future developments in a rapidly changing technological environment.

Key Features of the MSc Data Science

The MSc Data Science programme focuses on three core technical themes: data mining, machine learning, and visualisation. Data mining is fundamental to data science and the students will learn how to mine both structured data and unstructured data. Students will gain practical data mining experience and will gain a systematic understanding of the fundamental concepts of analysing complex and heterogeneous data. They will be able to manipulate large heterogeneous datasets, from storage to processing, be able to extract information from large datasets, gain experience of data mining algorithms and techniques, and be able to apply them in real world applications. Machine learning has proven to be an effective and exciting technology for data and it is of high value when it comes to employment. Students of the Data Science programme will learn the fundamentals of both conventional and state-of-the-art machine learning techniques, be able to apply the methods and techniques to synthesise solutions using machine learning, and will have the necessary practical skills to apply their understanding to big data problems. We will train students to explore a variety visualisation concepts and techniques for data analysis. Students will be able to apply important concepts in data visualisation, information visualisation, and visual analytics to support data process and knowledge discovery. The students of the Data Science programme also learn important mathematical concepts and methods required by a data scientist. A specifically designed module that is accessible to students with different background will cover the basics of algebra, optimisation techniques, statistics, and so on. More advanced mathematical concepts are integrated in individual modules where necessary.

The MSc Data Science programme delivers the practical components using a number of programming languages and software packages, such as Hadoop, Python, Matlab, C++, OpenGL, OpenCV, and Spark. Students will also be exposed to a range of closely related subject areas, including pattern recognition, high performance computing, GPU processing, computer vision, human computer interaction, and software validation and verification. The delivery of both core and optional modules leverage on the research strength and capacity in the department. The modules are delivered by lecturers who are actively engaged in world leading researches in this field. Students of the Data Science programme will benefit from state-of-the-art materials and contents, and will work on individual degree projects that can be research-led or application driven.

Modules

Modules for the MSc Data Science programme include:

- Visual Analytics

- Data Science Research Methods and Seminars

- Big Data and Data Mining

- Big Data and Machine Learning

- Mathematical Skills for Data Scientists

- Data Visualization

- Human Computer Interaction

- High Performance Computing in C/C++

- Graphics Processor Programming

- Computer Vision and Pattern Recognition

- 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, 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.

Career Destinations

- Data Analyst

- Data mining Developer

- Machine Learning Developer

- Visual Analytics Developer

- Visualisation Developer

- Visual Computing Software Developer

- Database Developer

- Data Science Researcher

- Computer Vision Developer

- Medical Computing Developer

- Informatics Developer

- Software Engineer



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