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Take advantage of one of our 100 Master’s Scholarships to study Computational Mechanics at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships to study Computational Mechanics at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

Swansea University has gained a significant international profile as one of the key international centres for research and training in computational mechanics and engineering. As a student on the Master's course in Erasmus Mundus Computational Mechanics, you will be provided with in-depth, multidisciplinary training in the application of the finite element method and related state-of-the-art numerical and computational techniques to the solution and simulation of highly challenging problems in engineering analysis and design.

Key Features of Erasmus Mundus Computational Mechanics MSc

The Zienkiewicz Centre for Computational Engineering is acknowledged internationally as the leading UK centre for computational engineering research. It represents an interdisciplinary group of researchers who are active in computational or applied mechanics. It is unrivalled concentration of knowledge and expertise in this field. Many numerical techniques currently in use in commercial simulation software have originated from Swansea University.

The Erasmus Mundus MSc Computational Mechanics course is a two-year postgraduate programme run by an international consortium of four leading European Universities, namely Swansea University, Universitat Politècnica de Catalunya (Spain), École Centrale de Nantes (France) and University of Stuttgart (Germany) in cooperation with the International Centre for Numerical Methods in Engineering (CIMNE, Spain).

As a student on the Erasmus Mundus MSc Computational Mechanics course, you will gain a general knowledge of the theory of computational mechanics, including the strengths and weaknesses of the approach, appreciate the worth of undertaking a computational simulation in an industrial context, and be provided with training in the development of new software for the improved simulation of current engineering problems.

In the first year of the Erasmus Mundus MSc Computational Mechanics course, you will follow an agreed common set of core modules leading to common examinations in Swansea or Barcelona. In addition, an industrial placement will take place during this year, where you will have the opportunity to be exposed to the use of computational mechanics within an industrial context. For the second year of the Erasmus Mundus MSc Computational Mechanics, you will move to one of the other Universities, depending upon your preferred specialisation, to complete a series of taught modules and the research thesis. There will be a wide choice of specialisation areas (i.e. fluids, structures, aerospace, biomedical) by incorporating modules from the four Universities. This allows you to experience postgraduate education in more than one European institution.

Modules

Modules on the Erasmus Mundus MSc Computational Mechanics course can vary each year but you could expect to study the following core modules (together with elective modules):

Numerical Methods for Partial Differential Equations
Continuum Mechanics
Advanced Fluid Mechanics
Industrial Project
Finite Element Computational Analysis
Entrepreneurship for Engineers
Finite Element in Fluids
Computational Plasticity
Fluid-Structure Interaction
Nonlinear Continuum Mechanics
Computational Fluid Dynamics
Dynamics and Transient Analysis
Reservoir Modelling and Simulation

Accreditation

The Erasmus Mundus Computational Mechanics course is accredited by the Joint Board of Moderators (JBM).

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

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

See http://www.jbm.org.uk for further information.

This degree has been accredited by the JBM under licence from the UK regulator, the Engineering Council.

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

Links with Industry

On the Erasmus Mundus MSc Computational Mechanics course, you will have the opportunity to apply your skills and knowledge in computational mechanics in an industrial context.

As a student on the Erasmus Mundus MSc Computational Mechanics course you will be placed in engineering industries, consultancies or research institutions that have an interest and expertise in computational mechanics. Typically, you will be trained by the relevant industry in the use of their in-house or commercial computational mechanics software.

You will also gain knowledge and expertise on the use of the particular range of commercial software used in the industry where you are placed.

Careers

The next decade will experience an explosive growth in the demand for accurate and reliable numerical simulation and optimisation of engineering systems.

Computational mechanics will become even more multidisciplinary than in the past and many technological tools will be, for instance, integrated to explore biological systems and submicron devices. This will have a major impact in our everyday lives.

Employment can be found in a broad range of engineering industries as this course provides the skills for the modelling, formulation, analysis and implementation of simulation tools for advanced engineering problems.



Student Quotes

“I gained immensely from the high quality coursework, extensive research support, confluence of cultures and unforgettable friendship.”

Prabhu Muthuganeisan, MSc Computational Mechanics

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This studio based program develops your arts practice through the expressive world of creative computation. It provides you with the historical foundations, frameworks and critical skills to produce a series of projects for public exhibition. Read more
This studio based program develops your arts practice through the expressive world of creative computation. It provides you with the historical foundations, frameworks and critical skills to produce a series of projects for public exhibition. It is delivered by Computing with contributions from the Centre for Cultural Studies- http://www.gold.ac.uk/pg/mfa-computational-arts/

What is computational art?

Computation consists of all the changes brought about by digital technology. Art is an open set of ways of acting inventively in culture. Mixing the two together in a systematic way gives us computational art. This is a very open field, and one that is set to expand enormously in the coming years. It is where the most exciting developments in technology and in culture can already be found. This degree will place you in the middle of this fast-evolving context.

Follow the links in the student profiles section for work produced by our graduates

What will I learn?

This degree develops your arts practice through the expressive world of creative computation. Over a two years (full-time) or four years (part-time) you will develop your artistic work and thinking through the challenge of developing a series of projects for public exhibition which will explore the technological and cultural ramifications of computation.

You will learn the fundamentals of programming and how to apply this knowledge expressively. You will work with popular open source programming environments such as Processing, OpenFrameworks, P5.js and Arduino, and will learn how to program in languages such as Java, Javascript and C++.

Since computational artworks don’t necessarily involve computers and screens, we also encourage students to produce works across a diverse range of media. Supported by studio technicians in state-of-the-art facilities, our students are producing works using tools such as 3D printers, laser cutters, robotics, wearable technologies, paint, sculpture and textiles.

You will also study contextual modules on computational art and the socio-political effects of technology. Modules in the Centre for Cultural Studies provide students with the historical foundations, frameworks, critical skills and confidence to express their ideas effectively. You will have the opportunity to learn the cultural histories of technology, to reflect on computation in terms of its wider cultural effects, and to understand the way in which art provides rigorous ways of thinking.

Through our masterclass series, we regularly invite world-class artists and curators to explain their work and engage in critical dialogue with the students. This allows you to develop a wider understanding of the contemporary art scene and how your work sits within the professional art world.

Contact the department

If you have specific questions about the degree, contact Theo Papatheodorou.

Modules & Structure

Year 1 shares the same core learning as our MA in Computational Arts programme:

Programming for Artists 1- 15 credits
Programming for Artists 2- 15 credits
Workshops in Creative Coding 1- 15 credits
Final Project in Computational Arts- 60 credits
Physical Computing
Interactive Media Critical Theory- 15 or 30 credits
Physical Computing: Arduino and Related Technologies- 30 credits

In Year 2 you will study the following:

Studio Practice- 120 credits
Computational Arts Critical Studies- 60 credits

Assessment

In Year 2 you will be assessed by: self-evaluation report of 2,500 words; essay of up to 6,000 words; viva voce; exhibition of final work.

Skills & Careers

The programme will equip you with a broad training in the use of creative computing systems that are currently most important in artistic, design and cultural practices and the creative industries, as well as technologies that are yet to emerge.

Funding

Please visit http://www.gold.ac.uk/pg/fees-funding/ for details.

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This degree develops your arts practice through the expressive world of creative computation. It provides you with the historical foundations, frameworks and critical skills to produce a series of projects for public exhibition. Read more
This degree develops your arts practice through the expressive world of creative computation. It provides you with the historical foundations, frameworks and critical skills to produce a series of projects for public exhibition. It is delivered by Computing with contributions from the Centre for Cultural Studies- http://www.gold.ac.uk/pg/ma-computational-arts/

What is computational art?

Computation consists of all the changes brought about by digital technology. Art is an open set of ways of acting inventively in culture. Mixing the two together in a systematic way gives us computational art. This is a very open field, and one that is set to expand enormously in the coming years. It is where the most exciting developments in technology and in culture can already be found. This degree will place you in the middle of this fast-evolving context.

Follow the links in the student profiles section for work produced by our graduates.

What will I learn?

This degree develops your arts practice through the expressive world of creative computation. Over a year (full-time) or two years (part-time) you will develop your artistic work and thinking through the challenge of developing a series of projects for public exhibition which will explore the technological and cultural ramifications of computation.

You will learn the fundamentals of programming and how to apply this knowledge expressively. You will work with popular open source programming environments such as Processing, OpenFrameworks, P5.js and Arduino, and will learn how to program in languages such as Java, Javascript and C++.

Since computational artworks don’t necessarily involve computers and screens, we also encourage students to produce works across a diverse range of media. Supported by studio technicians in state-of-the-art facilities, our students are producing works using tools such as 3D printers, laser cutters, robotics, wearable technologies, paint, sculpture and textiles.

You will also study contextual modules on computational art and the socio-political effects of technology. Modules in the Centre for Cultural Studies provide students with the historical foundations, frameworks, critical skills and confidence to express their ideas effectively. You will have the opportunity to learn the cultural histories of technology, to reflect on computation in terms of its wider cultural effects, and to understand the way in which art provides rigorous ways of thinking.

Through our masterclass series, we regularly invite world-class artists and curators to explain their work and engage in critical dialogue with the students. This allows you to develop a wider understanding of the contemporary art scene and how your work sits within the professional art world.

Contact the department

If you have specific questions about the degree, contact Theo Papatheodorou.

Modules

Programming for Artists 1- 15 credits
Programming for Artists 2- 15 credits
Workshops in Creative Coding 1- 15 credits
Final Project in Computational Arts- 60 credits
Physical Computing- N/A

Funding

Please visit http://www.gold.ac.uk/pg/fees-funding/ for details.

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At the University of Calgary, we formed the Computational Media Design Program to enable students to conduct research at the intersection of art, music, dance, drama, design and computer science. Read more
At the University of Calgary, we formed the Computational Media Design Program to enable students to conduct research at the intersection of art, music, dance, drama, design and computer science.

The Computational Media Design (CMD) graduate program is composed of the Faculty of Science: Department of Computer Science, the Faculty of Environmental Design and the Faculty of Arts: School of Creative and Performing Arts, Department of English and Department of Art. Students can earn graduate degrees, both Master of Science and PhD. The research-based graduate degrees explore the relationships between and among art, design, science and technology.

In the expanding world of multimedia and design, there is an increasing need for graduates who can conduct and direct complex projects that combine computing expertise with the creative energies of artists and designers. Numerous opportunities exist for our graduates in companies whose primary business is game design and development, film, TV, web design, simulation, networking, interactive media, and mobile and wearable computing to name just a few. Interest in our graduates also comes from the creative fields of dance, music, theatre and the visual arts.

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This is the only programme in the University of London in which students can include creative work and an arts-based context of their practice within the distinctive field of arts and creative technologies- http://www.gold.ac.uk/pg/mphil-phd-arts-computational-tech/. Read more
This is the only programme in the University of London in which students can include creative work and an arts-based context of their practice within the distinctive field of arts and creative technologies- http://www.gold.ac.uk/pg/mphil-phd-arts-computational-tech/

The opportunities for artists and technologists working in artistic domains have long encountered difficulties in finding appropriate ways to ‘measure’ artistic practice in ‘practice-based research’ terms.

The aim of the programme is to support students in their creation of new forms of artistic expression, and in their invention and application of new technologies that help make the art form possible.

We therefore expect you to take a novel and personal path of exploration. This path will be determined by the shifts you make between artistic, technical, practical, conceptual and theoretical domains in relation to your own unique vision.

The MPhil programme offers the opportunity for the student to continue their research to a PhD.

You will have two supervisors (one from arts practice, and one from computer science), and can attend weekly research seminars where students can present their findings to peers and staff; you are expected to give two presentations per year.

You also present your work at College level through interdisciplinary Graduate School seminars and at Spring Review week.

We have established a forum with the Creativity and Cognition studios at the University of Technology, Sydney for characterising practice situated across arts and computational technology, which offers the potential for collaborative research.

Assessment is by:

-written thesis (60-80,000 words)
-practical/technological component in an appropriate form

Contact the department

If you have specific questions about the degree, contact Professor Janis Jefferies.

Department

Computing at Goldsmiths is ranked 17th in the UK for the quality of our research**

**Research Excellence Framework 2014, Times Higher Education research intensity subject rankings

The Department of Computing offers a creative, contemporary and pioneering approach to the discipline.

From developing computers that can compose music and paint pictures, to defining and implementing new social media tools and applications, we aim to invigorate computing and the world around it.

Learn by doing

We place a great emphasis on creativity, independence and ‘learning by doing’. Students undertake practical work in real-world situations, carrying out projects in ways that mirror industry practice.

Interdisciplinary approach

We also promote an interdisciplinary approach to the subject: from computational arts to games and entertainment, and from data science to digital journalism.

Industry experts

You’ll be taught by industry experts – our academics are deeply engaged in current research, with many applying their knowledge and skills to developing cutting-edge technology. And we have close links with industry, too, regularly inviting leading professionals to deliver lectures and talks.

How to apply

Before you apply for a research programme, we advise you to get in touch with the programme contact, listed above. It may also be possible to arrange an advisory meeting.

Before you start at Goldsmiths, the actual topic of your research has to be agreed with your proposed supervisor, who will be a member of staff active in your general field of research. The choice of topic may be influenced by the current research in the department or the requirements of an external funding body.

If you wish to study on a part-time basis, you should also indicate how many hours a week you intend to devote to research, whether this will be at evenings or weekends, and for how many hours each day.

Research proposals

Along with your application and academic reference, you should also upload a research proposal at the point of application.

This should be in the form of a statement of the proposed area of research and should include:

delineation of the research topic
why it has been chosen
an initial hypothesis (if applicable)
a brief list of major secondary sources

Funding

Please visit http://www.gold.ac.uk/pg/fees-funding/ for details.

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Take advantage of one of our 100 Master’s Scholarships to study Computer Modelling and Finite Elements in Engineering Mechanics at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships to study Computer Modelling and Finite Elements in Engineering Mechanics at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

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

Key Features: Computer Modelling and Finite Elements in Engineering Mechanics

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

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

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

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

Modules

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

Reservoir Modelling and Simulation
Solid Mechanics
Finite Element Computational Analysis
Advanced Fluid Mechanics
Computational Plasticity
Fluid-Structure Interaction
Nonlinear Continuum Mechanics
Computational Fluid Dynamics
Dynamics and Transient Analysis
Computational Case Study
Communication Skills for Research Engineers
Numerical Methods for Partial Differential Equations

Accreditation

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

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

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

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

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

Facilities

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

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

Links with Industry

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

Careers

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

Research

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

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

World-Leading Research

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

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

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The MA/MSc Computational Design opens up for the possibilities of computer programming within a research lead context for the creative industries. Read more
The MA/MSc Computational Design opens up for the possibilities of computer programming within a research lead context for the creative industries.

This postgraduate degree course is positioned and seeks to assist you to engage with the huge wave of interest in the open source communities surrounding the coding developments such as openFrameworks, Arduino, Processing and Cinder. These freely available libraries of code and hardware bring the power of computing and interaction to a much wider base of creative users and you will immediately see the imaginative potential that they offer. Instruction in visual programming with Max/Msp, Pure Data and VVV may also be offered.

You will be shown examples of projects that make use of such devices such as the Kinect, Leap Motion and motion capture. Project work will offer opportunities to put this knowledge into practice in order to propose inventive solutions that respond to the movement of the human figure. The combination of data drawn from the position of the figure and a three dimensional virtual environment has opened up a fascinating discussion about the nature of human choreographic gesture and the way it can have a simultaneous effect both in the digital and real world domains. Quadrocopters, robotics and the control of kinetic movements will come within the research focus of the course offering you a wide variety of possible outcomes.

Ravensbourne has a very well resourced rapid prototyping facility and students on the MA/MSC Computational Design will have the opportunity to combine programming, three dimensional design and electronics to as a basis for proposing innovative, responsive and exciting projects.

You will begin to work with user response and feedback and place your project work in exciting venues such as the Kinetica Art Fair and Level39 Canary Wharf. This will give you great ways to prove your concepts in response to user testing and feedback. The course will cover a variety of approaches to programming and encourage exploration into the nature of code as a medium in its own right. You will become familiar with generative, recursive and algorithmic concepts in problem solving and gain an understanding of the history of coding and its influence and scope.

With this kind of experience behind you, when you leave the course, you will be in a position to take responsible roles such as production supervisor, technical director, lead or assistant programmer, user experience designer, producer or freelance consultant.

Key study topics

1. Technology Issues - The Technology Issues Unit provides an opportunity to work collaboratively to solve problems, establish viable work patterns and look at the methodologies for utilising creative contributions from many sources.

2. Business and Innovation - this Unit helps students to become more adept at dealing with the issues that will ensure they can reach an intended market or publicly available outcome.

3. Research Process - this Unit helps students to develop the kind of research methodologies that will ensure that their practice can be related to an informed and multi layered knowledge of relevant contemporary and historical practice.

4. Concept and Prototyping - the key focus of this Unit is its emphasis on testing and proving an idea by creating a viable "first stage" - the results are used to develop the modified "second stage" in the Major Project Unit.

5. The Major Project represents the culmination of the student's investigation and final stage of their research strategy. This is a substantial piece of self managed work that is underpinned by advanced practice based processes and methodologies.

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Nowadays, one can without hesitation, state that there is mathematics in virtually everything. There is mathematics behind mobile phones, cars and oil tankers. Read more

Programme aim

Nowadays, one can without hesitation, state that there is mathematics in virtually everything. There is mathematics behind mobile phones, cars and oil tankers. Internet is built on mathematics and Google is based on probability theory. Cryptology and secure data transfer are based on classical number theory.

New mathematical methods are necessary for understanding modern physics and chemistry, e.g. advanced mathematical and statistical models are required in climate science.

Bioinformatics has quickly grown to become one of the big areas of applied mathematics. A continuing development of mathematical methods is necessary in order to deal with the huge amounts of information generated by e.g. gene mapping.

Who should apply

Engineering Mathematics and Computational Science turns to you who wants to sharpen your engineering studies with state-of-the-art mathematical competence as well as to you who with a keen curiosity-driven mathematical interest. Of course, it also turns to you who have realised that deep mathematical knowledge is on demand in an ever increasing number of areas.

Why apply

The Master's program provides a solid base in mathematics and/or mathematical statistics or computational science. It is also possible to choose a direction towards bioinformatics. We also offer a number of courses in financial mathematics.

On completion of the Master's program, you will be able to not only master a given area of engineering, but also take part in the development of mathematical models and algorithms.

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On this MA you will interrogate digital culture as you develop and think through your own projects in our bespoke Centre for Cultural Studies media lab. Read more
On this MA you will interrogate digital culture as you develop and think through your own projects in our bespoke Centre for Cultural Studies media lab. You will undertake research and writing that incorporates contemporary art, software studies, critical theory, philosophy and cultural studies. http://www.gold.ac.uk/pg/ma-digital-culture/

Our modes of art, experimentation, work, sociability, politics and economies are changed in tandem with the development of digitality. Many of us are now continuously wired into our networks for fun, at work, and at home. We often find ourselves at the margins of networked relationships where different flows of power form from the residue we leave behind in electronic memories. On one hand we find ourselves policed by the ability to sort large amounts of information on the move, on the other, new spaces grow from technical innovation, experimentation and artistic methods.

Join our MA Digital Culture and help create new insights within these logics. Your writing and projects will be supported in an interdisciplinary environment. You do not necessarily need to have an initial project in mind, nor a technical background, just an enthusiasm for learning and experimentation. Each year we have a very lively mix of students who bring prior experience from across the arts, humanities, and sciences.

The MA in Digital Culture helps students develop and realize innovative projects and prepare for, or to create a bridge towards, a critical career in the cultural, creative, educational, analytical, and computational sectors.

This program is based on the research excellence in cultural studies (Scott Lash), software studies (Matthew Fuller), media philosophy (Luciana Parisi) and critical practices (Graham Harwood).

The MA in Digital Culture grew out of the prior MA Interactive Media: Critical Theory and Practice.

Contact the department

If you have specific questions about the degree, contact the Centre for Cultural Studies.

Modules & Structure

We use art methodologies alongside those from computing and cultural theory. A key method adopted in the Lab is to make the space between theory and practice ambiguous. The class makes and explores things, attempting to explain the phenomena being looked at or thought about. Explanation in this context is not necessarily a reduction of phenomena to literature or a system of logics, but can instead be thought of as knowledge incorporated into a thing that we create, look at or point to, through figuring out a proposition.

In practice this means we may:

-Learn MySQL databases and explore how their integral model of entities and relations create new forms of governance and aid in the performance of different scales of power
-Build simple telephony systems while taking inspiration from early/current data networks and their relationship to cultural change, resource wars and political insurrection
-Explore systematic failure within computation by exploring hacking and security issues such as creating fork bombs, doing penetration testing and reviewing the need for cryptography post-Snowden

We actively work with cultural theory in a world with computation as a central pillar. The Digital Culture Unit in the Centre for Cultural Studies, under whose auspices this programme is run, has been a pioneer of practice-led theory. This method pursues a form of working on projects that at the same time undertakes research and writing that incorporates contemporary cultural theory, philosophy and cultural studies. The Masters, therefore, is also ideal for students with primarily theoretical interests who wish to ground these with concrete knowledge and experience.

Building on the Digital Culture Unit's research excellence in software studies, media philosophy and digital art, students will learn to employ cutting edge research and practice-based methodologies to enhance their own skill set. The programme gives you the opportunity to develop critical and speculative theoretical and practice-based research on the ways computational media technologies are embedded in the technical, cultural, aesthetic, and political structures of society and how we interact with them. The applications of such work are highly diverse. The degree helps students to prepare for or to create a bridge towards a critical career in the cultural, creative, educational, analytical, and computational sectors.

Skills

You'll develop skills in:

Theoretical and practice-based research methodologies
Software and hardware production including basic electronics, programming, networking, telephony, relational database analyses
Group working skills
Event planning and production

Careers

The programme helps students to prepare for a critical career in the cultural, creative, educational, analytical, computational sectors.

Find out more about employability at Goldsmiths.

What our alumni are doing now

-Joao Wilbert (2008/9) has a background in web design and is now a Creative Technologist working at Google Creative Labs. http://www.jhwilbert.com
-Maria Beatrice Fazi (2008/9) has a BA in Philosophy and is now completing her PhD on Computation and Aesthetics at the Centre for Cultural Studies.
-Lisa Baldini (2010/11) is a New York based curator. In 2012 she has curated Code of Contingency.
-Loes Borges (2010/11) has a BA in Media and Cultural Studies and is now lab manager at the Digital Art Lab in Zoetermeer, (NL). http://www.loesbogers.com
-Tom Keene (2011/12) has a BA in Fine Arts and is now collaborating with Furtherfield, London-based media arts organisation, co-director of Brixton Remakery, a community-led recycling initiative. http://www.theanthillsocial.co.uk
-Marcos Chitelet (2011/12) has a BA in Design and is co-founder of the design agency DID, as well as political web platform Sentidos Comunes, and FaceEnergy, a start-up developing projects on energy efficiency for the city of Santiago, Chile.

Prizes and awards

In 2011, Alexandra Sofie Joensoon and Cliff Hemmet – both students from the MA – won a prestigious prize at the media arts festival Ars Electronica. Alex and Cliff created a low cost DIY telephony server together with sex workers activist group X-talk. Today the project is a platform for critical reflection on how communication practices and structures are materialised in the sex industry.

Funding

Please visit http://www.gold.ac.uk/pg/fees-funding/ for details.

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Take advantage of one of our 100 Master’s Scholarships to study Computer Modelling in Engineering at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships to study Computer Modelling in Engineering at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

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

Key Features of MRes in Computer Modelling in Engineering

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

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

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

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

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

Modules

Modules on the Computer Modelling in Engineering programme typically include:

• Finite Element and Computational Analysis
• Numerical Methods for Partial Differential Equations
• Solid Mechanics
• Advanced Fluid Mechanics
• Dynamics and Transient Analysis
• Communication Skills for Research Engineers
• MRes Research Project

Accreditation

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

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

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

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

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

Links with Industry

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

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

Student Quotes

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

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

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

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

Careers

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

Research

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

World-leading research

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

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

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

Research Environment at Swansea ranked 2nd in the UK
Research Impact ranked 10th in the UK
Research Power (3*/4* Equivalent staff) ranked 10th in the UK

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COURSE AIMS. This MSc programme meets the industrial demand for the training and education of both existing and future engineers in the advanced concepts of sustainable electrical power and energy generation. Read more
COURSE AIMS
This MSc programme meets the industrial demand for the training and education of both existing and future engineers in the advanced concepts of sustainable electrical power and energy generation. This programme aims to produce graduates of the highest calibre with the right skills and knowledge who will be capable of leading in teams involved in the operation, control, design, regulation and management of the power systems and networks of the future.

This programme also aims to provide graduates with the ability to critically evaluate methodologies, analytical procedures and research methods in:

Power system engineering – using state-of-the-art computational tools and methods;
Design of sustainable electrical power systems and networks;
Regulatory frameworks for, and operation of, power systems and electricity markets.
Who should Study this Course?
This newly designed M.Sc. programme is appropriate for those seeking an in-depth knowledge of sustainable electrictrical power including:

Graduates in power or electrical engineering, physical sciences, or related disciplines who aspire to work in the electrical power industry;
Industrially experienced graduate engineers and managers who recognise the importance of developing new analytical and critical skills, and state-of-the-art methodologies associated with the development sustainable electrical power systems.

COURSE MODULES

Sustainable Power Generation

Generation costing of solar, geo-thermal, bio-mass, wind, hydro, tidal, and wave.
Storage technologies and energy conversion: practical understanding and limitations.
Embedded renewable generation: technical challenges, opportunities and connection in electrical transmission and distribution grids.

Energy Economics and Power Markets

Principles, objectives, regulation, computational methods, economic procedures, emissions trading, and operation of electricity markets.
Restructuring and deregulation in generation, transmission, and distribution.
Concepts of transmission congestion and demand side management.

Power System Analysis and Security

Capabilities and limitations of modern power systems design.
Accurate use of power systems modelling and analysis of secure operation.
Computational techniques for power systems modelling, optimal power flow, mathematical programming, heuristic methods, artificially intelligent methods.

Power System Operation and Management

Business drivers and technical requirements for operational management.
In-depth knowledge of operational management software.
Energy balance and intermittency in sustainable electrical power system operation and management.

Power Electronics and FACTS

Practical understanding of how to design advanced power electronic circuits.
Modern power electronic integration techniques and state-of-the-art Flexible AC Transmission Systems.
Capabilities and limitations of different power electronic circuits.
Integration of power electronic circuits into Flexible AC Transmission Systems.

Power System Stability and Control

How to ensure effective power system stability and control power system operation using computational methods.
Power system stability problems, static and dynamic, relaying and protection, stability control and protection design, excitation and power system stabilisers.

Project Management

Formal methods and skills to function effectively at high levels of project management.
Development of skills to achieve practical business objectives.

Sustainable Electrical Power Workshop
You will gain experience and expertise with industry relevant tools and techniques through hands-on workshop environments. These practical sessions involve individual and group work. Typical assignments include:

Sustainable generation scheduling.
Integration of renewable energy sources.
Computer simulation of active power filters.
Phase-controlled rectifiers.
Power network security.
Sustainable electrical power system stability control.
Electricity market auctions.
Sustainable electrical power system investment and planning.

Project
This provides a stimulating and challenging opportunity to apply your knowledge and develop deep understanding in a specialised aspect of your choice. Projects can be university or industry and company sponsored students have the opportunity to develop their company’s future enterprise. Industrial projects often lead to the recruitment of the student by the collaborating company.

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On our MSc Algorithmic Trading, we equip you with the core concepts and quantitative methods in high frequency finance, along with the operational skills to use state-of-the-art computational methods for financial modelling. Read more
On our MSc Algorithmic Trading, we equip you with the core concepts and quantitative methods in high frequency finance, along with the operational skills to use state-of-the-art computational methods for financial modelling.

We enable you to attain an understanding of financial markets at the level of individual trades occurring over sub-millisecond timescales, and apply this to the development of real-time approaches to trading and risk-management.

The course includes hands-on projects on topics such as order book analysis, VWAP & TWAP, pairs trading, statistical arbitrage, and market impact functions. You have the opportunity to study the use of financial market simulators for stress testing trading strategies, and designing electronic trading platforms.

In addition to traditional topics in financial econometrics and market microstructure theory, we put special emphasis on areas:
-Statistical and computational methods
-Modelling trading strategies and predictive services that are deployed by hedge funds
-Algorithmic trading groups
-Derivatives desks
-Risk management departments

Our Centre for Computational Finance and Economic Agents is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation. We are supported by Essex’s highly rated Department of Economics, School of Computer Science and Electronic Engineering, and Essex Business School.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

This course is taught by experts with both academic and industrial expertise in the financial and IT sectors. We bring together leading academics in the field from our departments of economics, computer science and business.

Our staff are currently researching the development of real-time trading platforms, new financial econometric models for real-time data, the use of artificially intelligent agents in the study of risk and market-based institutions, operational aspects of financial markets, financial engineering, portfolio and risk management.

More broadly, our research covers a range of topics, from materials science and semiconductor device physics, to the theory of computation and the philosophy of computer science, with most of our research groups based around laboratories offering world-class facilities.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

We have an extensive network of industrial contacts through our City Associates Board and our alumni, while our expert seminar series gives you the opportunity to work with leading figures from industry.

Our recent graduates have gone on to become quantitative analysts, portfolio managers and software engineers at various institutions, including:
-HSBC
-Mitsubishi UFJ Securities
-Old Mutual
-Bank of England

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-CCFEA MSc Dissertation
-Big-Data for Computational Finance
-High Frequency Finance and Empirical Market Microstructure
-Introduction to Financial Market Analysis
-Professional Practice and Research Methodology
-Quantitative Methods in Finance and Trading
-Trading Global Financial Markets
-Cloud Technologies and Systems (optional)
-Constraint Satisfaction for Decision Making (optional)
-Creating and Growing a New Business Venture (optional)
-Digital Signal Processing (optional)
-Evolutionary Computation and Genetic Programming (optional)
-Financial Engineering and Risk Management (optional)
-High Performance Computing (optional)
-Industry Expert Lectures in Finance (optional)
-Learning and Computational Intelligence in Economics and Finance (optional)
-Mathematical Research Techniques Using Matlab (optional)
-Programming in Python (optional)
-Text Analytics (optional)

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Take advantage of one of our 100 Master’s Scholarships to study Civil Engineering at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships to study Civil Engineering at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

Swansea University has been at the forefront of international research in the area of civil and computational engineering. Internationally renowned engineers at Swansea pioneered the development of numerical techniques, such as the finite element method, and associated computational procedures that have enabled the solution of many complex engineering problems. Swansea University provides an excellent base for your research as a MSc by Research student in Civil Engineering.

Key Features of MSc by Research Civil Engineering

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

Civil Engineering students benefit from the Zienkiewicz Centre for Computational Engineering at Swansea University which has excellent computing facilities, including a state-of-the-art multi-processor super computer with virtual reality facilities and high-speed networking.

Research within Engineering at Swansea University is multidisciplinary in nature, incorporating our strengths in research areas across the Engineering disciplines including Civil Engineering.

Computational mechanics forms the basis for the majority of the MSc by Research projects within this civil engineering discipline.

Civil Engineering at Swansea University is recognised as one of the top 200 departments in the world (QS World Subject Rankings).

MSc by Research in Civil Engineering typically lasts one year full-time, two to three years part-time. This Civil Engineering research programme is an individual research project written up in a thesis of 30,000 words.

Links with industry

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

Civil Engineering Facilities

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

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

Research in Civil Engineering

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

World-leading research

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

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

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

Research Environment at Swansea ranked 2nd in the UK
Research Impact ranked 10th in the UK
Research Power (3*/4* Equivalent staff) ranked 10th in the UK

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The only Master’s specialisation in the Netherlands covering the function of our epigenome, a key factor in regulating gene expression and in a wide range of diseases. Read more

Master's specialisation in Medical Epigenomics

The only Master’s specialisation in the Netherlands covering the function of our epigenome, a key factor in regulating gene expression and in a wide range of diseases.
Our skin cells, liver cells and blood cells all contain the same genetic information. Yet these are different types of cells, each performing their own specific tasks. How is this possible? The explanation lies in the epigenome: a heritable, cell-type specific set of chromosomal modifications, which regulates gene expression. Radboud University is specialised in studying the epigenome and is the only university in the Netherlands to offer a Master’s programme in this field of research.

Health and disease

The epigenome consists of small and reversible chemical modifications of the DNA or histone proteins, such as methylation, acetylation and phosphorylation. It changes the spatial structure of DNA, resulting in gene activation or repression. These processes are crucial for our health and also play a role in many diseases, like autoimmune diseases, cancer and neurological disorders. As opposed to modifications of the genome sequence itself, epigenetic modifications are reversible. You can therefore imagine the great potential of drugs that target epigenetic enzymes, so-called epi-drugs.

Big data

In this specialisation, you’ll look at a cell as one big and complex system. You’ll study epigenetic mechanisms during development and disease from different angles. This includes studying DNA and RNA by next-generation sequencing (epigenomics) and analysing proteins by mass spectrometry (proteomics). In addition, you‘ll be trained to design computational strategies that allow the integration of these multifaceted, high-throughput data sets into one system.

Why study Medical Epigenomics at Radboud University?

- Radboud University combines various state-of-the-art technologies – such as quantitative mass spectrometry and next-generation DNA sequencing – with downstream bioinformatics analyses in one department. This is unique in Europe.
- This programme allows you to work with researchers from the Radboud Institute for Molecular Life sciences (RIMLS), one of the leading multidisciplinary research institutes within this field of study worldwide.
- We have close contacts with high-profile medically oriented groups on the Radboud campus and with international institutes (EMBL, Max-Planck, Marie Curie, Cambridge, US-based labs, etc). As a Master’s student, you can choose to perform an internship in one of these related departments.
- Radboud University coordinates BLUEPRINT, a 30 million Euro European project focusing on the epigenomics of leukaemia. Master’s students have the opportunity to participate in this project.

Career prospects

As a Master’s student of Medical Epigenomics you’re trained in using state-of-the art technology in combination with biological software tools to study complete networks in cells in an unbiased manner. For example, you’ll know how to study the effects of drugs in the human body.
When you enter the job market, you’ll have:
- A thorough background of epigenetic mechanisms in health and disease, which is highly relevant in strongly rising field of epi-drug development
- Extensive and partly hands-on experience in state-of-the-art ‘omics’ technologies: next-generation sequencing, quantitative mass spectrometry and single cell technologies;
- Extensive expertise in designing, executing and interpreting scientific experiments in data-driven research;
- The computational skills needed to analyse large ‘omics’ datasets.

With this background, you can become a researcher at a:
- University or research institute;
- Pharmaceutical company, such as Synthon or Johnson & Johnson;
- Food company, like Danone or Unilever;
- Start-up company making use of -omics technology.

Apart from research into genomics and epigenomics, you could also work on topics such as miniaturising workflows, improving experimental devices, the interface between biology and informatics, medicine from a systems approach.

Or you can become a:
- Biological or medical consultant;
- Biology teacher;
- Policy coordinator, regarding genetic or medical issues;
- Patent attorney;
- Clinical research associate;

PhD positions at Radboud University

Each year, the Molecular Biology department (Prof. Henk Stunnenberg, Prof. Michiel Vermeulen) and the Molecular Developmental Biology department (Prof. Gert-Jan Veenstra) at the RIMLS offer between five and ten PhD positions. Of course, many graduates also apply for a PhD position at related departments in the Netherlands, or abroad.

Our approach to this field

- Systems biology
In the Medical Epigenomics specialisation you won’t zoom in on only one particular gene, protein or signalling pathway. Instead, you’ll regard the cell as one complete system. This comprehensive view allows you to, for example, model the impact of one particular epigenetic mutation on various parts and functions of the cell, or study the effects of a drug in an unbiased manner. One of the challenges of this systems biology approach is the processing and integration of large amounts of data. That’s why you’ll also be trained in computational biology. Once graduated, this will be a great advantage: you’ll be able to bridge the gap between biology, technology and informatics , and thus have a profile that is desperately needed in modern, data-driven biology.

- Multiple OMICS approaches
Studying cells in a systems biology approach means connecting processes at the level of the genome (genomics), epigenome (epigenomics), transcriptome (transcriptomics), proteome (proteomics), etc. In the Medical Epigenomics specialisation, you’ll get acquainted with all these different fields of study.

- Patient and animal samples
Numerous genetic diseases are not caused by genetic mutations, but by epigenetic mutations that influence the structure and function of chromatin. Think of:
- Autoimmune diseases, like rheumatoid arthritis and lupus
- Cancer, in the forms of leukaemia, colon cancer, prostate cancer and cervical cancer
- Neurological disorders, like Rett Syndrome, Alzheimer, Parkinson, Multiple Sclerosis, schizophrenia and autism

We investigate these diseases on a cellular level, focusing on the epigenetic mutations and the impact on various pathways in the cell. You’ll get the chance to participate in that research, and work with embryonic stem cell, patient, Xenopus or zebra fish samples.

See the website http://www.ru.nl/masters/medicalbiology/epigenomics

Read less
On our MSc Algorithmic Trading, we equip you with the core concepts and quantitative methods in high frequency finance, along with the operational skills to use state-of-the-art computational methods for financial modelling. Read more
On our MSc Algorithmic Trading, we equip you with the core concepts and quantitative methods in high frequency finance, along with the operational skills to use state-of-the-art computational methods for financial modelling.

We enable you to attain an understanding of financial markets at the level of individual trades occurring over sub-millisecond timescales, and apply this to the development of real-time approaches to trading and risk-management.

The course includes hands-on projects on topics such as order book analysis, VWAP & TWAP, pairs trading, statistical arbitrage, and market impact functions. You have the opportunity to study the use of financial market simulators for stress testing trading strategies, and designing electronic trading platforms.

In addition to traditional topics in financial econometrics and market microstructure theory, we put special emphasis on areas:

- Statistical and computational methods
- Modelling trading strategies and predictive services that are deployed by hedge funds
- Algorithmic trading groups
- Derivatives desks
- Risk management departments

Our Centre for Computational Finance and Economic Agents is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation. We are supported by Essex’s highly rated Department of Economics, School of Computer Science and Electronic Engineering, and Essex Business School.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

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