Excited by the role of mathematics in securing the modern electronics and communications that we all rely on? This intensive MSc programme explores the mathematics behind secure information and communications systems, in a department that is world renowned for research in the field.
You will learn to apply advanced mathematical ideas to cryptography, coding theory and information theory, by studying the relevant functions of algebra, number theory and combinatorial complexity theory and algorithms. In the process you will develop a critical appreciation of the challenges that mathematicians face in facilitating secure information transmission, data compression and encryption. You will learn to use advanced cypher systems, correcting codes and modern public key crypto-systems. As part of your studies you will have the opportunity to complete a supervised dissertation in an area of your choice, under the guidance of experts in the field who regularly publish in internationally competitive journals and work closely with partners in industry.
We are a lively, collaborative and supportive community of mathematicians and information security specialists, and thanks to our relatively compact scale we will take the time to get to know you as an individual. You will be assigned a personal advisor to guide you through your studies.
Mathematicians who can push the boundaries and stay ahead when it comes to cryptography and information security are in demand, and the skills you gain will open up a range of career options and provide a solid foundation if you wish to progress to a PhD. These include transferable skills such as familiarity with a computer-based algebra package, experience of carrying out independent research and managing the writing of a dissertation.
Core modules
Optional modules
In addition to these mandatory course units there are a number of optional course units available during your degree studies. The following is a selection of optional course units that are likely to be available. Please note that although the College will keep changes to a minimum, new units may be offered or existing units may be withdrawn, for example, in response to a change in staff. Applicants will be informed if any significant changes need to be made.
You will initially choose 8 courses from the list of available options, of which you specify 6 courses during the second term that will count towards your final award. You will also complete a core research project under the supervision of one of our academic staff.There is a strong focus on small group teaching throughout the programme.
Assessment is carried out through a variety of methods, including coursework, examinations and the main project. End-of-year examinations in May or June will count for 66.7% of your final award, while the dissertation will make up the remaining 33.3% and has to be submitted by September.
By the end of this programme you will have an advanced knowledge and understanding of all the key mathematical principles and applications that underpin modern cryptography and communications. You will have advanced skills in coding, algebra and number theory, and be able to synthesise and interpret information from multiple sources with insight and critical awareness. You will have learnt to formulate problems clearly, to undertake independent research and to express your technical work and conclusions clearly in writing. You will also have valuable transferable skills such as advanced numeracy and IT skills, time management, adaptability and self-motivation.
Graduates from this programme have gone on to carry out cutting-edge research in the fields of communication theory and cryptography, as well as to successful careers in industries such as: information security, IT consultancy, banking and finance, higher education and telecommunications. Our mathematics postgraduates have taken up roles such as: Principal Information Security Consultant at Abbey National PLC; Senior Manager at Enterprise Risk Services, Deloitte & Touche; Global IT Security Director at Reuters; and Information Security Manager at London Underground.
The campus Careers team will be on hand to offer advice and guidance on your chosen career. The University of London Careers Advisory Service runs regular, tailored sessions for mathematics students, on finding summer internships or vacation employment and getting into employment.
In this Master's specialisation, mathematicians working in areas pertinent to (theoretical) computer science, like algebra and logic, and theoretical computer scientists, working in areas as formal methods and theorem proving, have joined forces to establish a specialisation in the Mathematical Foundations of Computer Science. The programme is unique in the Netherlands and will be built on the excellence of both research institutes and the successful collaborations therein.
The emphasis of the Master's is on a combination of a genuine theoretical and up-to-date foundation in the pertinent mathematical subjects combined with an equally genuine and up-to-date training in key aspects of theoretical computer science. For this reason, the mathematics courses in this curriculum concentrate on Algebra, Complexity Theory, Logic, Number Theory, and Combinatorics. The computer science courses concentrate on Formal Methods, Type Theory, Category Theory, Coalgebra and Theorem Proving.
Within both institutes, ICIS and WINST, there is a concentration of researchers working on mathematical logic and theoretical computer science with a collaboration that is unique in the Netherlands. The research topics range from work on algebra, logic and computability, to models of distributed, parallel and quantum computation, as well as mathematical abstractions to reason about programmes and programming languages.
See the website http://www.ru.nl/masters/mathematics/foundations
1. A completed Bachelor's degree in Mathematics or Computer Science
In order to get admission to this Master’s you will need a completed Bachelor's in mathematics or computer science that have a strong mathematical background and theoretical interests. We will select students based on their motivation and their background. Mathematical maturity is essential and basic knowledge of logic and discrete mathematics is expected.
2. A proficiency in English
In order to take part in the programme, you need to have fluency in English, both written and spoken. Non-native speakers of English without a Dutch Bachelor's degree or VWO diploma need one of the following:
- TOEFL score of ≥575 (paper based) or ≥90 (internet based)
- IELTS score of ≥6.5
- Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE), with a mark of C or higher
There is a serious shortage of well-trained information specialists. Often students are offered a job before they have actually finished their study. About 20% of our graduates choose to go on to do a PhD but most find jobs as systems builders, ICT specialists or ICT managers in the private sector or within government.
In this Master's specialisation, mathematicians working in areas pertinent to (theoretical) computer science, like algebra and logic, and theoretical computer scientists, working in areas as formal methods and theorem proving, have joined forces to establish a specialisation in the Mathematical Foundations of Computer Science. The programme is unique in the Netherlands and will be built on the excellence of both research institutes and the successful collaborations therein.
The emphasis of the Master's is on a combination of a genuine theoretical and up-to-date foundation in the pertinent mathematical subjects combined with an equally genuine and up-to-date training in key aspects of theoretical computer science. For this reason, the mathematics courses in this curriculum concentrate on Algebra, General Topology, Logic, Number Theory, and Combinatorics. The computer science courses concentrate on Formal Methods, Type Theory, Category Theory, Coalgebra and Theorem Proving.
Within both institutes, ICIS and WINST, there is a concentration of researchers working on mathematical logic and theoretical computer science with a collaboration that is unique in the Netherlands. The research topics range from work on algebra, logic and computability, to models of distributed, parallel and quantum computation, as well as mathematical abstractions to reason about programmes and programming languages.
See the website http://www.ru.nl/masters/mathematics/foundations
Are you dismayed, disturbed and totally disenchanted with what is happening to the only real planetary home we have? So are we.
But are you also excited by the opportunities and prospects this opens up for us to create a better, brighter and more beautiful world? So are we.
Then join us in this innovative new postgraduate programme from Schumacher College in collaboration with the School of Architecture, Design and Environment at Plymouth University, the School of Design at Carnegie Mellon University, the Dartington Hall Trust and surrounding communities.
Never has there been a more important time for a new approach for engaging with the challenging situations we face from the local to the global levels. In a rapidly changing dynamic situation, solutions rarely remain optimal for very long and continuous active participation is a necessary ingredient for success. Growing resilience in individuals and communities is the way to keep going despite the continuous change around us.
Our programme in Ecological Design Thinking embraces and explores this complex world of interactions with lively engagement and an optimistic approach. It offers powerful, practical and ecology-centred skills and knowledge to apply to a diverse range of practices from design, education and business to the more specific roles of leadership, management and consultancy.
The Ecological Design Thinking programme is trans-disciplinary, insightful and universal in its application; pragmatic and integrative in its operation. It brings together theoretical and practical discourses on ecologically inspired design, with methods of design thinking that are merged with the latest developments in anthropology, psychology and socio- political economics. It aims to create a novel ground for change makers at the forefront of our transition to sustainable societies.
Ecologically inspired design includes the study of ecological worldviews, systems dynamics and applied complexity theory alongside the philosophies and practices of permaculture and biomimetic design.
Design thinking is a well-established participatory technique grounded in the empathic understanding of the feelings, experiences and emotions of others. It engages people in lively conversations, visually stimulated interactions and playful prototyping. It frames problems as opportunities, forms insights and generates creative and collaborative solutions in complex situations.
The Ecological Design thinking programme aims to provide a nourishing environment for participants by incorporating short-courses led by internationally recognised thinkers, place-making projects in collaboration with the Dartington Hall Trust, the home of Schumacher College, and short placements offered by external partner organisations.
This programme is the fourth radical postgraduate programme developed at Schumacher College and contributes to and enhance the College’s ongoing collaborative inquiry into sustainable living – a live and networked inquiry of practice underway around the world by the College’s 20,000 alumni and others.
We would be delighted to receive your application whether you are coming directly from an undergraduate degree, taking time-out to study mid-career or wanting an opportunity to develop your understanding of a practice that is of great importance to all of our futures. We encourage applications from community practitioners and activists as well as planners, educators, architects, politicians and policy makers. You do not necessarily need a first degree in design to apply for this course. You only need to be enthusiastic, resilient and committed.
We are looking for enthusiastic agents of change who are ready to co-design new approaches to the way we live that are socially just and ecologically sustainable. We are looking for those prepared to take risks and stand on the cutting-edge of new practices in this area.
Schumacher College welcomes students from all over the world in a diverse mix of cultural experience and age that allows for rich peer- to- peer learning.
An interdisciplinary programme integrating design methods with those of ecology and the social sciences.
An integrative design programme rooted in deep ecological understanding and practice and informed by cutting edge thinking in new economic approaches and social dynamics.
A balanced distribution of time and resources on skill-based and cognitive-based knowledge and between practice and theory.
Access to some of the world’s leading thinkers and practitioners in design, Gaia theory, complexity, climate science, systems thinking, new economics and social change.
Short courses led by internationally recognised thinkers and researchers.
Short practical placements with a range of partner organisations operating at the leading edge of social innovation.
An immersive, integrative and transformational teaching and learning approach rooted in the principles established by Schumacher College and Dartington Hall, and engaged in a living and working community on and around the Dartington Estate in Devon.
Ecological Design Thinking can be applied to a wide range of contexts, from the personal to the societal. This programme aims to create a new generation of designers, entrepreneurs, policy-makers, educators, researchers, consultants and activists. Graduates will have the skills and knowledge to work for sustainable change in the public and private sectors as well as in civil society, or to set up their own projects or organisations that will contribute to the transformation of society.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Stochastic Processes: Theory and Application at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
The MRes in Stochastic Processes: Theory and Application is delivered through optional modules for the taught element followed by a large research project that contributes to the field in an explicit way, rather than merely applying existing knowledge.
The Department of Mathematics hosts one of the strongest research groups in probability theory, especially in stochastic processes, in the UK. The senior members of this group are world leaders in their fields.
The Department’s research groups include:
Algebra and Topology Group
Areas of interest include: Noncommutative geometry, Categorical methods in algebra and topology, Homotopy theory and homological algebra and others.
Analysis and Nonlinear Partial Differential Equations Group
Areas of interest include: Reaction-diffusion and reaction-diffusion-convection equations and systems, Navier–Stokes equations in fluid dynamic, Complexity in the calculus of variations and others.
Stochastic Analysis Group
Areas of interest include: Functional inequalities and applications, Lévy-type processes, Stochastic modelling of fractal, multi-fractal and multi-scale systems, Infinite dimensional stochastic analysis and others.
Mathematical Methods in Biology and Life Sciences Group
Areas of interest include: Mathematical pharmacology; heat and mass transfer models for plant cooling; modelling cellular signal transduction dynamics; mathematical oncology: multi-scale modelling of cancer growth, progression and therapies, and modelling-optimized delivery of multi-modality therapies; multi-scale analysis of individual-based models; spreading speeds and travelling waves in ecology; high performance computing.
The Department of Mathematics hosts one of the strongest research groups in probability theory, especially in stochastic processes, in the UK. The senior members of this group are world leaders in their fields.
As a student on the MRes Stochastic Processes programme you will study a range of topics for the taught element including:
Stochastic Calculus based on Brownian Motion
Levy processes and more general jump processes
The advanced Black-Scholes theory
Theory and numerics of parabolic differential equations
Java programming
The Stochastic Processes: Theory and Application course consists of a taught part (60 credits) and a research project (120 credits). Students will have a personal supervisor for their research project from the start of their studies.
Research projects could be of a theoretical mathematical nature, or they could be more applied, for example in financial mathematics or actuarial studies. Some of the research projects will be of an interdisciplinary character in collaboration with some of Swansea's world class engineers. For such projects it is likely that EPSRC funding would be available.
The Aubrey Truman Reading Room, located in the centre of the Department of Mathematics, houses the departmental library and computers for student use. It is a popular venue for students to work independently on the regular example sheets set by their lecturers, and to discuss Mathematics together.
Our main university library, Information Services and Systems (ISS), contains a notably extensive collection of Mathematics books.
The ability to think rationally and to process data clearly and accurately are highly valued by employers. Mathematics graduates earn on average 50% more than most other graduates. The most popular areas are the actuarial profession, the financial sector, IT, computer programming and systems administration, and opportunities within business and industry where employers need mathematicians for research and development, statistical analysis, marketing and sales.
Some of our students have been employed by AXA, BA, Deutsche Bank, Shell Research, Health Authorities and Local Government. Teaching is another area where maths graduates will find plenty of career opportunities.
The results of the Research Excellence Framework (REF) 2014 show that our research environment (how the Department supports research staff and students) and the impact of our research (its value to society) were both judged to be 100% world leading or internationally excellent.
All academic staff in Mathematics are active researchers and the department has a thriving research culture.
If you are looking to pivot your career into a management-related field, the MSc in International Management degree program is designed to help you develop your knowledge and skills in management. The MSc in International Management, Sustainability Systems Track is designed for students interested in a career in sustainability.
This focus area offers specialized coursework on sustainable development theory and practices informed by critical approaches, complexity theory and change management. Moreover, you will focus on research and literacy skills to better understand and cooperate with different functional areas essential for meaningful sustainable management practices, such as engineering and science and information technology.
Complement core requirements in leadership, strategy, finance, ethics and operations with the opportunity to delve further into potential areas of interest such as managing global communications, economics, negotiation, and international relations.
Students will learn the skills and tools of project management by using both practical “hands-on” approaches as well as by applying theory to practice. This course guides students through many of the fundamental operations and project management tools and behavioral skills required in both private sector organizations as well as with NGOs and governmental organizations.
The MSc in International Management encourages students to take their education beyond the classroom. Your learning experience is deepened by the opportunity of immersive practica and study trips where you will come into contact with experts in the field. Learn about the Sustainable Development Practicum in India.
Graduates from the MSc in International Management go on to meaningful careers in diverse fields across the world. They represent contemporary, forward-thinking managers, engaged leaders for sustainable development, and thoughtful professionals making a difference on the international stage.
As a student you will benefit from hands-on fieldwork and research development as you gain professional skills throughout the duration of your studies. This, together with the rigorous academic training, can lead to jobs in companies across the world. You will be well-prepared to pursue a career in a range of sectors and organization types, including corporations, non-governmental organizations, start-ups, nonprofits and family businesses. View career outcomes for graduates from the MSc in International Management.
Computing and communications technologies are having a truly disruptive effect on societies and business worldwide. Mobile payments, wireless communications and the ‘Internet of Things’ are transforming the way we approach key challenges in development, security, healthcare and the environment.
Taught jointly by the School of Computing and the School of Electronic and Electrical Engineering, this course will give you a grasp of all layers needed for mobile communication and computation, from the physical network layer through to the applications that run on mobile devices.
You’ll gain a full understanding of the web and cloud computing infrastructure, as core modules give you a foundation in key topics like systems programming and data communications. A range of optional modules will then allow you to focus on topics that suit your interests and career plans, from cloud computing to embedded systems design and high speed web architecture.
Specialist facilities
You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.
We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.
You’ll take two core modules in Semester 1 that introduce you to fundamental topics like systems programming and network security. With this foundation, you’ll be able to gain high-level specialist knowledge through your choice of optional modules taught by the School of Computing and the School of Electronic and Electrical Engineering.
The optional modules you choose will enable you to direct your studies towards topics that suit your personal interests and career ambitions such as mobile app development, digital media engineering, big data, cloud computing and embedded systems design, among others.
Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.
Compulsory modules
Optional modules
Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.
Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.
You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.
The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.Most projects are experimentally based and linked with companies within the oil and gas industry to ensure the topic of research is relevant to the field whilst also addressing a real-world problem.
A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.
Career opportunities are extremely broad, covering jobs in the design of embedded software running on multi-core devices through to jobs involving the design and implementation of new mobile-applications centric systems for business. In the application of mobile computing skills, job opportunities span every area, from the automotive sector through to retail and banking.
You could launch a career in fields such as mobile app development, mobile systems architecture, project management, network consultancy. You could also work as an engineer in embedded mobile communications, network security or research and development among many others – and you’ll even be well-prepared for PhD study.
You’ll have access to the wide range of engineering and computing careers resources held by our Employability team in our dedicated Employability Suite. You’ll have the chance to attend industry presentations book appointments with qualified careers consultants and take part in employability workshops. Our annual Engineering and Computing Careers Fairs provide further opportunities to explore your career options with some of the UK’s leading employers.
The University's Careers Centre also provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.
Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans.
The human brain is a hugely complex machine that is able to perform tasks that are vastly beyond current capabilities of artificial systems. Understanding the brain has always been a source of inspiration for developing artificially intelligent agents and has led to some of the defining moments in the history of AI. At the same time, theoretical insights from artificial intelligence provide new ways to understand and probe neural information processing in biological systems.
On the one hand, the Master’s in Computation in Neural and Artificial Systems addresses how models based on neural information processing can be used to develop artificial systems, probing of human information processing in closed-loop online settings, as well as the development of new machine learning techniques to better understand human brain function.
On the other hand it addresses various ways of modelling and understanding cognitive processing in humans. These range from abstract mathematical models of learning that are derived from Bayesian statistics, complexity theory and optimal control theory to neural information processing systems such as neural networks that simulate particular cognitive functions in a biologically inspired manner. We also look at new groundbreaking areas in the field of AI, like brain computer interfacing and deep learning.
See the website http://www.ru.nl/masters/ai/computation
Why study Computation in Neural and Artificial Systems at Radboud University?
- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.
- Together with the world-renowned Donders Institute, the Behavioural Science Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.
- Master’s students are free to use the state-of-the-art facilities available on campus, like equipment for brain imaging as EEG, fMRI and MEG.
- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Artificial Intelligence together with the specialisation in Brain Network and Neuronal Communication. This will take three instead of two years.
- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.
- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.
- Our AI students are a close-knit group; they have their own room in which they often get together to interact, debate and develop their ideas. Every student also receives personal guidance and supervision from a member of our expert staff.
The programme is closely related to the research carried out in the internationally renowned Donders Institute for Brain, Cognition and Behaviour. This institute has several unique facilities for brain imaging using EEG, fMRI and MEG. You will be able to use these facilities for developing new experimental research techniques, as well as for developing new machine learning algorithms to analyse the brain data and integrate them with brain-computer interfacing systems.
Some examples of possible thesis subjects:
- Deep learning
Recent breakthroughs in AI have led to the development of artificial neural networks that achieve human level performance in object recognition. This has led companies like Google and Facebook to invest a lot of research in this technology. Within the AI department you can do research on this topic. This can range from developing deep neural networks to map and decode thoughts from human brain activity to the development of speech recognition systems or neural networks that can play arcade games.
- Brain Computer Interfacing
Brain computer interfaces are systems which decode a users mental state online in real-time for the purpose of communication or control. An effective BCI requires both neuro-scientific insight (which mental states should we decode?) and technical expertise (which measurement systems and decoding algorithms should be used?). A project could be to develop new mental tasks that induce stronger/easier to decode signals, such as using broadband stimuli. Another project could be to develop new decoding methods better able to tease a weak signal from the background noise, such as adaptive-beam forming. Results for both would assessed by performing empirical studies with target users in one of the EEG/MEG/fMRI labs available in the institute.
Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Google, Facebook, IBM, Philips and the Brain Foundation. Some students have even gone on to start their own companies.
Examples of jobs that a graduate of the specialisation in Computation in Neural and Artificial Systems could get:
- PhD researcher on bio-inspired computing
- PhD researcher on neural decoding
- PhD researcher on neural information processing
- Machine learning expert in a software company
- Company founder for brain-based computer games
- Hospital-based designer of assistive technology for patients
- Policy advisor on new developments in neurotechnology
- Software developer for analysis and online visual displays of brain activity
Half of your second year consists of an internship, giving you plenty of hands-on experience. We encourage students to do this internship abroad, although this is not mandatory. We do have connections with companies abroad, for example in China, Sweden and the United States.
See the website http://www.ru.nl/masters/ai/computation
This interdisciplinary Masters degree provides you with a broad background in some mainstream and modern aspects of mathematics and computer science. You’ll be introduced to sophisticated techniques at the forefront of both disciplines.
The programme combines teaching and research from the School of Mathematics and the School of Computing. Based on the Schools’ complementary research strengths the programme follows two main strands:
You’ll have the choice to specialise in one of these strands, gaining specialist knowledge and skills that will prepare you for a wide range of careers. You’ll also develop your research skills when you complete your dissertation.
If you do not meet the full academic entry requirements then you may wish to consider the Graduate Diploma in Mathematics. This course is aimed at students who would like to study for a mathematics related MSc course but do not currently meet the entry requirements. Upon completion of the Graduate Diploma, students who meet the required performance level will be eligible for entry onto a number of related MSc courses, in the following academic year.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Logic and Computation at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
Logic is the basis for reasoning about what we can express and compute, having a profound influence in philosophy, linguistics, mathematics, computer science, and electronics. Since the invention of computers, logic has always been the primary source of ideas and techniques for the theoretical and practical development of programming.
Today, as the scope of programming technologies expands, and the horizon of applications widens, research in logic and its applications in software and hardware development is booming. In industry, formal methods are an integral part of system development, e.g., in automotive electronics, avionics, and chip design.
The MRes Logic and Computation course will teach you about advanced techniques in logic and their applications in research problems in computer science. You will receive an elite education of direct relevance to research and development problems in contemporary information and communication technology (ICT).
Teaching score of Excellent.
Highest percentage of top-class researchers of any Computer Science department in Wales – and only 12 in the UK have higher.
70% of the research activity assessed as world-leading or internationally excellent.
Our industrial programme IT Wales which can arrange vacation employment placements.
A state-of-the-art education.
Friendly staff, committed to the highest standards.
A university with high success rate, low drop-out rate, and excellent student support.
Swansea's Library spends more per student on books and other resources than any other university in Wales, and most in the UK.
Research Component
The main part of the MRes in Logic and Computation is a substantial and challenging project involving cutting edge research. The completion of such a project will give you the ability and confidence to pursue a successful career in industrial research and development, or to proceed to academic PhD studies.
Taught Component
In seminars and reading courses you will enter the world of research by studying general topics in theoretical computer science as well as special topics for your research project. Guided by your supervisor you will conquer new technical subjects and learn to critically assess current research.
Lecturers and students will meet regularly to discuss recent developments and give informal talks. Topics of the seminars are chosen in accordance with the research projects, and will cover material such as:
Theorem proving techniques
Formal program verification
Algebraic and coalgebraic specification
Modelling of distributed systems
Advanced methods in complexity theory
Additionally you will choose selected taught modules covering important topics such as Critical Systems, IT Security, Concepts of Programming
Languages, Artificial Intelligence Applications, Design Patterns and Generic Programming.
The Department 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, 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.
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.
90% of Swansea’s Computer Science graduates are in full-time employment or further study within six months of graduating (HESA June 2011).
Some example job titles from the HESA survey 2011:
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
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*).
'Education is the most powerful weapon which you can use to change the world.' - Nelson Mandela (1918 – 2013)
The University of Greenwich has long been a centre for excellence in teacher training and education, and we have a strong commitment to meeting the needs of those who want to study at the highest academic level.
Many of our applicants who work in vocational areas choose the PhD in Education and Training, whereas applicants who work in schools tend to choose the PhD in Education, but the choice is open and the only difference is in the final title. Doctoral applicants choose which PhD to apply for depending on what they would like the final title of their doctorate to be.
Our PhD in Education and our PhD in Education and Training are intended for qualified and experienced lecturers, teachers, trainers, other professionals working in education or those who want to explore education as an academic subject. Both PhD programmes are flexible but rigorous, and are designed to support you through the challenges of doctoral study and research.
We currently have 20 students on our PhDs in Education programmes at the University of Greenwich. They are each supported by a supervisory team of three lecturers, with a strong background in practical and academic experience, both in educational research and in doctoral supervision.
Our programme has a dedicated programme leader, programme administrator, and a wide range of supervisors. Students' progress will also be monitored and supported by committees within our department and the university. Your fellow students will also provide a rich source of peer support, alongside the students from our Health and Social Care PhDs and Psychology PhDs.
If you apply successfully for our MPhil/PhD programmes you will initially be enrolled on an MPhil, and then upgraded to PhD after you have completed a substantial piece of doctoral level work.
You meet regularly with your supervisory team throughout the process, and they will support you both in the practicalities of producing a dissertation and defending it at viva. The team will also help you develop advanced skills in contemporary theoretical knowledge, critical analysis, doctoral research and evidence-based inquiry; ultimately, this will allow you to reach doctoral standard, that is, it will allow you to make a contribution to knowledge informed by original research and scholarship.
Recent research projects include:
There are also a range of other individually negotiated subject areas.
As part of your application, please identify an area of research that you wish to pursue and submit a research proposal of approximately 1,500 words along with your application form. Please also submit a CV along with the form.
Located at the university's prestigious Greenwich campus, the Education and Training programme has world renowned attractions right on its doorstep from the Cutty Sark to Greenwich Park.
With the opening of the highly anticipated Dreadnought Building on the horizon, not only will you study in the heart of the Greenwich campus, but you will also have access to state-of-the-art learning, teaching and social spaces.
Students are assessed through their research thesis.
Graduates from this programme have gone on to a range of middle and senior academic and management roles in schools, colleges, universities and other educational institutions.
'Education is the most powerful weapon which you can use to change the world.' - Nelson Mandela (1918 – 2013)
The University of Greenwich has long been a centre for excellence in teacher training and education, and we have a strong commitment to meeting the needs of those who want to study at the highest academic level.
Our PhD in Education and our PhD in Education and Training are intended for qualified and experienced lecturers, teachers, trainers, other professionals working in education or those who want to explore education as an academic subject. Both PhD programmes are flexible but rigorous, and are designed to support you through the challenges of doctoral study and research.
Doctoral applicants choose which PhD to apply for depending on what they would like the final title of their doctorate to be. Applicants who work in schools tend to choose the PhD in Education, whereas many of our applicants who work in vocational areas choose the PhD in Education and Training. The choice is open and the only difference is in the final title.
We currently have 20 students on our PhDs in Education programmes at the University of Greenwich. They are each supported by a supervisory team of three lecturers, with a strong background in practical and academic experience, both in educational research and in doctoral supervision.
Our programme has a dedicated programme leader, programme administrator, and a wide range of supervisors. Students' progress is also monitored and supported by committees within our department and the university. Your fellow students will also provide a rich source of peer support, alongside the students from our Health and Social Care PhDs and Psychology PhDs.
If you apply successfully for our MPhil/PhD programmes you will initially be enrolled on an MPhil, and then upgraded to PhD after you have completed a substantial piece of doctoral level work. You meet regularly with your supervisory team throughout the process, and they will support you both in the practicalities of producing a dissertation and defending it at viva. The team will also help you develop advanced skills in contemporary theoretical knowledge, critical analysis, doctoral research and evidence-based inquiry; ultimately, this will allow you to reach doctoral standard, that is, it will allow you to make a contribution to knowledge informed by original research and scholarship.
Recent research projects include:
There are also a range of other individually negotiated subject areas.
As part of your application, please identify an area of research that you wish to pursue and submit a research proposal of approximately 1,500 words along with your application form. Please also submit a CV along with the form.
Students are assessed through their research thesis.
Graduates from this programme have gone on to a range of middle and senior academic and management roles in schools, colleges, universities and other educational institutions.
The Laboratory for Foundations of Computer Science (LFCS) continues to lead the way in the development of mathematical models, theories and tools that probe the possibilities of computation and communication.
Our students benefit from being part of one of the largest and strongest groups of theoretical computer scientists in the world.
Our research is aimed at establishing deep understanding of computation in its many forms. Using advanced mathematical principles, we create theories and software tools allowing fundamental capabilities of computation to be explored, as well as designing languages that can be used to construct safe and effective programs.
Areas of interest within LFCS include: algorithms and complexity, cryptography, databases, logic, programming languages and semantics, performance modeling, quantum computing, security and privacy, software modeling and testing, and verification.
As a research student at LFCS, you will have access to our highly respected academic staff community, which includes Fellows of the Royal Society and a winner of a Blaise Pascal medal. Our students regularly receive ‘best paper’ awards at conferences.
You will carry out your research within a research group under the guidance of a supervisor. You will be expected to attend seminars and meetings of relevant research groups and may also attend lectures that are relevant to your research topic. Periodic reviews of your progress will be conducted to assist with research planning.
A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies.
The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.
The award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.
It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.
Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.
Among our entrepreneurial initiatives is Informatics Ventures, set up to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.
Our graduates are in high demand for postdoctoral academic roles. In addition, the skills you will graduate with can be applied to roles in industry, particularly finance, software development and consultancy.
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