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Masters Degrees (Visual Analytics)

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Visual analytics is a key requirement of the early 21st century. As our human activity generates rapidly increasing amounts of new data every day, there is an urgent need to make sense of it and a huge potential to elicit new knowledge and insights from it. Read more
Visual analytics is a key requirement of the early 21st century. As our human activity generates rapidly increasing amounts of new data every day, there is an urgent need to make sense of it and a huge potential to elicit new knowledge and insights from it.

World events and phenomena like climate change, 9/11, global finance systems and public health are data rich and increasingly complex. Visual analytics turns large and complex, data sets into interactive visualisations that can prompt visceral comprehension and moments of insight that are compelling and offer an unparalleled richness of possibility for data analysts. In this uncharted world of boundless data, visual analytics is providing our new maps and new ways of navigating. Data analytics is recognised as a key trend that will have a major impact on the IT and Communications industry in the next 5 years

Middlesex University is the recognised centre for excellence in visual analytics the UK and leads the UK Visual Analytics Consortium (UKVAC). This group is working at the leading edge of Visual Analytics and works on a global basis. The UK partners are: Imperial College, University College London (UCL), Swansea, Bangor and Oxford Universities.

We are growing our community of practice in visual analytics and this is a chance to join our team, to work alongside some of the best UK researchers and to get involved in leading edge work. The course will build your professional network, your understanding and your portfolio of experience. Visual Analytics is an interdisciplinary, creative and technical activity. That's why we've built a masters course that is unique. You'll be working for most of the time on your own research and development project, supported by great supervisors, and connecting with new people, theories and practices through workshops that are spread throughout the year. You'll leave with unique insights, strong skills and great contacts; you'll also pick up an MSc along the way.

As a student of this course you'll receive a free electronic textbook for every module.

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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
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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Data is being collected at an unprecedented speed and scale – but 'big data' is of little use without 'big insight'. The skills required to develop such insight are in short supply and the shortage of skilled workers in the data analytics market is cited as a key barrier. Read more

About the course

Data is being collected at an unprecedented speed and scale – but 'big data' is of little use without 'big insight'. The skills required to develop such insight are in short supply and the shortage of skilled workers in the data analytics market is cited as a key barrier.

The Data Science and Analytics MSc programme provides these skills, combining a strong academic programme with hands-on experience of leading commercial technology – and the chance to gain industry certification.

You will develop both your critical awareness of the state-of-the-art in data science and the practical skills that help you apply data science more effectively in the business, science and social world.

The programme is run in conjunction with SAS, a market leader in business analytics software and services, and the largest independent vendor in the business intelligence market.

Brunel's programme is unique in being the only current MSc programme that is fully integrated with SAS, providing the SAS base certification.

Aims

The Harvard Business Review calls data science the “sexiest job of the 21st century” – with demand for graduates with SAS skills rapidly rising across financial, retail and government sectors. Data science is now in vogue.

From government, social networks and ecommerce sites to sensors, smart meters and mobile networks, data is being collected at an unprecedented speed and scale – creating an expanding job market for qualified data analysts.

The practical aspects of many of the modules will allow you to gain hands-on experience of several commercial SAS tools (e.g. SAS BASE, Enterprise Guide, Enterprise Miner and Visual Analytics). This experience is designed, in part, to develop skills in preparation for the SAS certification part of the programme.

By the end of the course you should be able to:

Comprehend the key concepts and nuances of the disciplines that need to be synthesised for effective data science.
Demonstrate a critical understanding of the challenges and issues arising from taking heterogeneous data at volume and scale, understanding what it represents and turning that understanding into insight for business, scientific or social innovation (i.e. data science).
Develop a practical understanding of the skills, tools and techniques necessary for the effective application of data science.
Apply a practical understanding of data science to problems in social, business and scientific domains.
Evaluate the effectiveness of applied data science in relation to the issues addressed.

Course Content

Your studies on the course will cover the modules listed below. The practical aspects of many of the modules will allow you to gain hands-on experience of several commercial SAS tools (e.g. SAS BASE, Enterprise Guide, Enterprise Miner and Visual Analytics). That experience is designed, in part, to develop skills for the SAS certification that partners the programme.

Typical Modules:

Digital Innovation
Quantitative Data Analysis
High Performance Computational Infrastructures
Systems Project Management
Big Data Analytics
Research Methods
Data Visualisation
Learning Development Project
Dissertation

Special Features

SAS Certification
As an integral part of the programme, you will gain hands-on experience of commercial SAS tools – SAS being the market leader in business analytics software and services, and the largest independent vendor in the business intelligence market.
You will have the opportunity to obtain SAS certification (e.g. SAS Base Programming) which is a recognised industry qualification, following a two week SAS certification ‘boot camp’ preparation course.

Women in Engineering and Computing Programme

Brunel’s Women in Engineering and Computing mentoring scheme provides our female students with invaluable help and support from their industry mentors.

Teaching

Module are typically presented in a mixture of lecture and seminar/lab format. However, where appropriate other teaching methods will also be incorporated. All our learning environments are supported by the market leader in Virtual Learning Environments (VLE), the BlackboardLearn system.

Assessment

Your learning will be evaluated through a combination of in module assessments and more traditional exams, with module specific assessments – for example, presentations within the Learning Development Project.

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You will focus on the intertwining areas of machine learning, visual analytics and data governance, and be able to strike a balance between theoretical underpinnings, practical hands-on experience, and acquisition of industrially-relevant languages and packages. Read more

You will focus on the intertwining areas of machine learning, visual analytics and data governance, and be able to strike a balance between theoretical underpinnings, practical hands-on experience, and acquisition of industrially-relevant languages and packages. You will also be exposed to cutting-edge contemporary research activity within data science that will equip you with the potential to pursue a research-based career, and, in particular, further PhD study at Middlesex.

Course highlights

  • Explore theoretical and practical aspects with industry-recognised skills
  • Study a course that is unique in its fusion of machine-learning, visual analytics and corporate data governance
  • Equip yourself to apply machine learning and visual analytics to any data source


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Developed to meet the demand for data science professionals, our postgraduate Data Analytics course enables you to effectively structure, analyse and gain insight from a wide range of complex data across different industries. Read more

Developed to meet the demand for data science professionals, our postgraduate Data Analytics course enables you to effectively structure, analyse and gain insight from a wide range of complex data across different industries.

Designed in close consultation with industry partners including the NHS Business Services Authority, Teradata, BT, SAS, the Pensions Regulator and local Brighton companies, your learning is informed by current business developments through case studies looking at real-world data sets, research questions and scenarios. You have the opportunity to collaborate on projects with our industry partners, and can also use your own data, project ideas and industry links.

Guest lecturers will share their knowledge and expertise with you, such as Tom Khabaza who is a founding chairman of the Society of Data Miners, author of 9 Laws of Data Mining and was involved in designing the course.

You will develop a skill set in specialist data analytics and associated software, quantitative methods and techniques, and business intelligence. Our staff are experts in their field and you have the chance to develop your knowledge in specialist areas where we have ongoing research and expertise, such as sequential forecasting, natural language processing and image processing.

Whether you are a recent graduate or an experienced professional wanting to gain data analysis skills, this course is available on a full or part-time basis to help you manage your studies around other commitments. 

Course structure

The course covers three main areas:

  • data management – structuring and manipulating data for analysis purposes
  • data interpretation – statistical analysis using advanced features of industry-standard software such as SAS, SPSS and R
  • project management – the business-specific and strategic aspects of analytics.

You will learn how to assess project viability, propose sound business cases and strategies for analysis, perform and oversee analysis and manage large data projects successfully as well as developing your critical appraisal and presenting techniques. 

Based at our Moulsecoomb campus, you will have access to computer and research labs equipped with specialist, sophisticated software including SAS, SPSS Statistics and SPSS Modeller. Affordable student licences for home use are also available. 

With a flexible timetable to suit full-time or part-time students and commuters, and lecturers available to support you in your module choices, there are different study routes available to you.

Syllabus

You will study five core modules. One of these involves a major project, potentially in collaboration with industry. You will also choose option modules, subject to availability, allowing you to focus on particular areas of interest.

Core modules

  • Data Management – provides an understanding of contemporary database management systems. Explores a methodology for database design and development, and develops skills in searching, reporting and analysing the data. Topics covered include database implementation and administration, data modelling and business intelligence.
  • Programming for Analytics – provides competencies in computer programming and algorithm design with emphasis on statistical programming and data analysis. The module covers both general issues of algorithm design and data structures and implementation issues in R and SAS.
  • Data Visualisation and Analysis – covers principles of data visualisation and specialised tools for data visualisation and analysis such as SAS Visual Analytics and Qlikview. The module also explores the mathematical and statistical theory behind data analysis.
  • Business Analytics Strategy and Practice – develops analytics-specific project planning concepts within this context, enabling students to design and manage analytics projects and present the business case to senior management.
  • Industry project – substantial, independent project undertaken with the supervision of a member of the teaching team. Projects are normally industry-based using real data sets.

Option modules*

  • Multivariate Analysis and Statistical Modelling – design statistical experiments, analyse multivariate data and apply classical and modern statistical modelling techniques. Enhances skills in the use of specialist software such as R, SPSS or SAS.
  • Data Mining and Knowledge Discovery in Data – find useful and relevant patterns, trends and anomalies in data sets, and summarise them in a form which may be used to support enterprise decisions – one of the great challenges of the information age. Emphasis is on the big, real-world picture rather than inside-the-box systems design engineering details. 
  • Stochastic Methods and Forecasting – an understanding of stochastic models and their applications in a business context. The module also covers forecasting methods with the emphasis on selecting the best forecasting method for a business problem and correct application of that method.
  • Risk Analysis and Retail Finance – introduction to the statistical methods used to estimate risk and reward in retail credit. The focus is on retail finance especially the provision of credit and lending services.
  • Medical Statistics – introduction to the methods originally designed for clinical trials and now being used in other contexts including sociology and marketing research. Topics include assessment of risk factors, comparing treatments and assessing survival data.

*Option modules are indicative and may change, depending on timetabling and staff availability.  

Employability

A wide variety of organisations draw upon data analytics specialists to help produce valuable information for decision-making, for example commodity price forecasting, customer intelligence, clinical trials, R&D and many other areas utilising large amounts of data.

Graduates are able to choose from a range of private, governmental and academic roles, depending on their personal interests. Some of our full-time students find a full-time job and switch to part-time study in the middle of the course.

Graduate destinations include:

  • government bodies such as the Pensions Regulator and local councils
  • transnational corporations such as Capgemini
  • local companies such as iCrossing.


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Artificial Intelligence and Machine Learning, Big Data. New technologies and ways of working are changing the way we make decisions. Read more

Artificial Intelligence and Machine Learning, Big Data. New technologies and ways of working are changing the way we make decisions.

This programme will take your career to the next level and develop your ability to confidently make high impact businesses decisions that are driven by data.

The programme focuses on two key areas: analysing business data, and solving business challenges analytically. Optional modules allow you to further specialise in areas such as the economic, managerial or finance aspects of the subject.

Furthermore, you will benefit from hands-on experience of a wide range of analytics software such as simulators and mathematical tools.

Programme structure

The programme is studied full-time over one academic year. It consists of eight taught modules and a dissertation.

Example module listing

The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.

Career prospects

Business analytics students often pursue careers as consultants, researchers, managers, and analysts.

Software

You will get hands-on experience using a wide range of tools in the course. An indicative list of the software tools is as follows:

  • Excel (using the Solver and Data Analysis Add-Ins) and Tableau for decision making and visual analytics
  • COGNOS and SQL Server for Business Intelligence for analytical processing
  • Apache Hadoop (Map Reduce) with Amazon’s Elastic Cloud or IBM’s Smart Cloud for distributed Big Data analytics
  • SAP for Enterprise Resource Planning
  • R, SPSS and EViews for coding, statistics and forecasting
  • ILOG’s Optimisation Studio (Cplex) for optimisations
  • Matlab for algorithms and programming and Simulink (SimEvents) for simulations
  • Arena (or Simul8) for Discrete Event Simulations

Who we work with

This programme is run in cooperation with IBM.

Educational aims of the programme

The programme’s aim is to provide a high quality education that is both intellectually rigorous and at the forefront of management science research, relevant for problem solving and decision making by managers.

It will respond to the emergent needs of corporations and academia for professionals who are able to work with analytical tools to generate value from available Information depots and take advantage of the vast amounts of data now provided by the modern ICT and ERP systems, which underlie the operations of modern corporations.

The programme will implant understanding of the theoretical base around knowledge management and knowledge work, practical skills and experience in using analytical software tools.

It will allow future professional managers and consultants to cope with an increasingly complex and global operational environment of the modern corporation.

Completion of the programme will provide a sound foundation for those considering continuing their academic development towards a PhD degree in the management disciplines.

The programme is structured in a way that would provide students with a choice between a more quantitative intensive track of modules or a qualitative analytic (business development track) which would reflect students’ personal strengths and preferences and match future career aspirations.

The compulsory modules provide a sound foundation which builds an analytical skillset using relevant statistical and management theories, and supports the development of practical hands-on experience applying the theoretical aspects using real-world data to address corporate challenges and find solutions to actual problems.

The readings in the module will build a sound basis which would allow students to access and understand the academic literature and undertake empirical investigations in the areas of decision modelling and business development.

Global opportunities

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

Professional recognition

Surrey Business School is accredited by the Association to Advance Collegiate Schools of Business (AACSB) and by the Association of MBAs (AMBA).



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Computer Science influences every aspect of modern life and is one of the fastest-moving academic disciplines. It contributes to everything from the efficiency of financial markets to film and TV graphics and has a huge impact on both economic competitiveness and human wellbeing. Read more
Computer Science influences every aspect of modern life and is one of the fastest-moving academic disciplines. It contributes to everything from the efficiency of financial markets to film and TV graphics and has a huge impact on both economic competitiveness and human wellbeing.


Why study MSc Computer Science at Middlesex?

Our course not only offers a balance between advanced computer science theory and practical experience, but has a very strong focus on contemporary research. Practical work is an important part of every module and the School of Science and Technology has strong links with industry, including companies such as Microsoft and Siemens. The university is very active in the exploration of a number of areas, including computer graphics,mobile development, human-computer interaction, robotics, artificial intelligence, ethics, ubiquitous computing, functional programming, algorithmic biology, image and video analysis, quantum computing, computational biology and visual analytics, and this research influences the course very strongly.

Our course is aimed at students who've studied computing for their first degree, and wish to make themselves stand out further by developing an advanced mastery of the subject.

Course highlights:

The university is home to the Human Interactive Systems Laboratory, acentre of research into haptic technology, and leads the UK Visual Analytics Consortium.

Our specialist multimedia laboratories are well-equipped with industry-standard software and hardware, including both PCs and Macs.

Many of the teaching staff are the authors of widely-used textbooks and learning materials. They include:

Dr Kai Xu, a former senior research scientist with CSIRO, Australia's national science agency;
Dr Elke Duncker-Gassen, aformer systems and software engineer at GEI Gesytec;
Dr Chris Huyck, a former software engineer at Microsoft.
You'll also improve your communication, teamwork, time-management, problem-solving and critical skills.

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Centennial College's Marketing Research and Analytics program positions you at the forefront of a cutting edge job market in which organizations have oceans of data available to them but struggle to make sense of it as marketing becomes increasingly data-driven. Read more
Centennial College's Marketing Research and Analytics program positions you at the forefront of a cutting edge job market in which organizations have oceans of data available to them but struggle to make sense of it as marketing becomes increasingly data-driven. As a result, there is a large and growing demand for trained researchers who can harness the power of big data using the latest tools and analytical techniques to uncover new insights and drive businesses forward.

This Marketing Research and Analytics program combines advanced courses in marketing research and big data analytics with training on leading commercial technologies and platforms and the opportunity to gain in-demand industry certifications.

This program equips you with knowledge, skills and training in leading business intelligence and marketing research technologies and tools used in the field. Among them are SAS Enterprise Guide and SAS Enterprise Miner, Environics Analytics Envision (used to develop comprehensive profiles of selected target markets), SPSS, Tableau (the leading data visualization software), Excel, XL Miner, Dell Factiva and NVIVO (qualitative research and text analysis software).

Upon graduation, you receive an Ontario Graduate Certificate from Centennial College, plus certificates of recognition from SAS and Environics Canada. In addition, you are put on an accelerated track to earning the Certified Marketing Research Professional (CMRP) designation, the premier credential in Canadian marketing research from the Marketing Research and Intelligence Association (MRIA).

Career Opportunities

Program Highlights
-The Marketing – Research and Analytics program combines marketing research principles and skills with cutting edge "big data" analytics techniques to equip you with the training required to deliver insights and strategies to help organizations make smarter and more impactful business decisions.
-Employed is an extensive use of learner-centered approaches such as case studies, simulations and project-based learning, with a focus on developing project management, teamwork, analytical thinking, and report writing and presentation skills.
-Hands-on learning covers areas such as questionnaire design, data manipulation, quality control, statistical output and program development.
-There is a strong focus on applying marketing research and analytics to strategic marketing decision-making.
-In the second semester, you develop and implement a capstone project that will integrate and apply your learning.
-In addition to market research technologies, you also have access to the full suite of Microsoft products, including Microsoft Excel, XL Miner, Access and PowerPoint.
-Once you graduate, you have the option to take the Comprehensive Marketing Research Exam (CMRE) on campus at Centennial College, which leads to the Certified Marketing Research Professional (CMRP) designation.

Articulation Agreements
Start with a graduate certificate, and continue to a master of business administration through our degree completion partnership. Successful graduates of this Marketing – Research and Analytics program may choose to continue with courses leading to a graduate degree.

Career Outlook
-Marketing research specialist or analyst
-Research analyst
-Marketing research and intelligence coordinator
-Market intelligence specialist or analyst
-Customer insights analyst
-Consumer research manager
-Business intelligence analyst
-Market research analytics manager
-Web marketing analyst
-Customer experience analyst
-CRM analyst
-Direct response analyst
-Digital marketing analyst
-Social media analyst
-Data and analytics specialist
-Business analytics specialist
-Loyalty program analyst
-Sales analyst
-Marketing strategy analyst

Program Outcomes
-Optimize the financial results produced by interactive marketing programs through the application of marketing analytics
-Contribute to the design of a marketing analytics team project (develop charter, business case financials, technical requirements, design, test plan, test results, approval to proceed) and the management of the resulting project
-Create, manage and mine, and apply modelling and decision making functions to a database
-Utilize data auditing techniques and quality control processes that are consistent with current marketing research codes of conduct and Canadian privacy principles to ensure the integrity of the data collection, storage, analysis and presentation processes
-Compare and contrast, evaluate and select appropriate data sources to meet specific marketing objectives
-Conduct industry, competitor and customer analyses using a wide variety of secondary research sources
-Produce reliable and analyzable data through the application of sound questionnaire design principles to marketing research projects
-Design marketing research projects and interactive marketing programs that are founded in sound sampling techniques, hypothesis testing and research design
-Solve business and marketing problems by identifying, selecting and applying effective, current and relevant techniques such as descriptive and inferential analysis
-Prepare provisional output of analyses including cross-tabulations and pivot tables that address the needs of analysts and prepare final output, including research reports, presentation sides and visual representations of data that address the needs of management
-Develop actionable recommendations based on situation analyses and research findings

Areas of Employment
-Retail corporations
-Organizations with in-house analytical and research functions
-Marketing research firms

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Organisations of all sizes must analyse complex business data to remain competitive. Business analytics helps to predict market trends and improve business processes. Read more
Organisations of all sizes must analyse complex business data to remain competitive. Business analytics helps to predict market trends and improve business processes. It empowers managers to make strategic decisions to improve performance in areas such as product development, operations, marketing, sales and supply chain management.

Our MSc Business Analytics develops your analytical skills so you can solve complex business problems. You’re trained to organise, integrate and interpret data so you can make insightful forecasts into all aspects of business operation and implement appropriate actions.

You cover topics such as:
-Statistics and forecasting
-Data mining, visual and analytical techniques
-Global supply networks
-Economic theory
-Business management

Our range of optional modules gives you the opportunity to specialise in a variety of complementary business, management and marketing subjects.

Essex Business School, where this course is taught, is home to the ESRC Business and Local Government Data Research Centre, which helps local authorities and businesses across the UK to harness data more effectively. Not only does the centre have expert data analytics facilities, you’re taught by academics who are actively involved in researching big data and collaborating with businesses to solve real-world issues.

Our School is home to an international community of students and staff. Across our two campuses, our current Masters students join us from more than 40 different nationalities. The University of Essex also offers a number of scholarship and discounts for Masters study, including tailored awards for international applicants.

MSc Business Analytics can be studied on a full-time, part-time or modular basis (ideal if you’d like to gain a qualification whilst in employment).

Postgraduate loans for Masters courses are now available from the Student Loans Company, worth up to £10,000, for students from the UK and EU.

Our expert staff

Our expert academics are at the forefront of the big data debate and reflect this thinking in their teaching.

Essex Business School is in the top 25 in the UK for research excellence (REF 2014) and is recognised for being at the cutting edge of research in: business ethics and corporate social responsibility; organisation studies; leadership and strategy; finance and banking; risk management; and international management.

Specialist facilities

MSc Business Analytics is based at our Southend Campus, with its excellent study and social facilities.

You benefit from being located close to London in the Thames Gateway, one of the UK’s priority areas for economic growth – offering fantastic internship and networking opportunities.

Southend is a seaside town with award-winning beaches, a vibrant night life and excellent transport links. You have access to The Forum, a state-of-the-art building with 24-hour computer suites and study pods. Unlike our Colchester Campus, Essex Business School in Southend is a town centre campus, so you’re amongst the buzz of the High Street, with its excellent bars, shops and restaurants and employment opportunities.

The University of Essex provides initiatives, including those for international students, to help you perform to your best academic potential, such as free academic English classes.

Your future

Data is the driving force behind critical business decisions, so data scientists and analysts are in great demand in both start-ups and well-established companies. Becoming an expert in data analytics means you can help businesses gain competitive advantage by becoming better at making decisions and predictions through organising, analysing, integrating and interpreting data.

This course will equip you with essential numerical, analytical and problem solving skills for a thriving career as a business analyst, manager, or consultant in private and public enterprises.

We have a dedicated employability team within our department, in addition to the University of Essex Employability and Careers Centre, so you are well-placed to find work opportunities both during your course and after you graduate.

In 2015, 78% of our postgraduate taught students were in work or further study (DLHE). Read our graduate profiles to find out the types of organisations our Masters students go on to work for.

Example structure

Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.

Business Analytics - MSc
-Managerial Economics
-Global Supply Chain and Operations Management
-Business Analytics for Managers and Entrepreneurs
-Applied Statistics and Forecasting
-Research Methods
-Dissertation
-International Business and Strategy (optional)
-The International Business Environment (optional)
-Creating and Managing the New and Entrepreneurial Organisation (optional)

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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*).



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