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Masters Degrees (Computational Design)

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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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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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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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Digital games have become an important and innovative part of contemporary popular culture, out-competing cinema in terms of revenue. Read more
Digital games have become an important and innovative part of contemporary popular culture, out-competing cinema in terms of revenue. Commercial games may in part be the result of market forces but they are also products of a marriage between art, design and computational form.

What is it that makes for a good game design and good gameplay? What cultural and social values do games carry in terms of their design and form? What types of theories and concepts might we use to help make games that engage and excite players?

This new and innovative masters programme will help you to answer such questions through intensive creative game-making as well as providing the opportunity for you to reflect in theoretically informed ways on your own creative practice and on your own experience of playing games. The programme is taught by game design professionals and theorists who have played significant roles in developing digital game studies as an academic discipline. It offers a unique opportunity for you to analyse in depth what constitutes good game design through a range of practical exercises and written papers. Whether you have experience of making game mods, are already working in the industry, or you are a games’ enthusiast without a technical background, this programme is designed to appeal to those with a desire to explore game design, the theories behind such designs and the place of games in culture.

This Master of Arts programme is designed for those with an interest in the design and cultural significance of digital games. Students will engage in, and experiment with, practical games creation, with workshops led by designers working in the industry, as well as exploring a range of theories and concepts with which to analyse the values of games, play and pleasure.

The programme will be delivered by a team of experienced games researchers, some of whom have played a pioneering role in making digital game studies a new academic discipline. You will engage with a range of game types and styles, from first person shooters to massively multiplayer role-playing games. This MA focuses on conceptual game design as opposed to software development/programming, unlike many MScs focused on interactive media. We take a back-to-basic-principles approach to game design, something often advocated by key industry figures looking for innovation in the field, which will allow you to gain a deep understanding of the fundamental principles of creating original, enjoyable and challenging games.

TYPICAL MODULES
Game Design I
Investigates the principles behind the rules and play of games. A detailed study of how games function to create experiences, including rule design, play, mechanics/structure, game balancing, social game interaction and the integration of textual strategies to create the gaming experience.

Critical Approaches
Explores the criticism and analysis of games. A detailed study and evaluation of the different methodological and theoretical approaches used in the study of games/videogames.

Game Design II
Building on work in Game Design I students will develop, individually, a design for a game for a particular platform (phone, PC, handheld, console etc). The game can be delivered in digital format for those with technical skills or as a storyboard, character profiles, visual ‘mood board’/style palette, sound-effects/music profiling. The project will demonstrate practical application of ideas explored in Critical Approaches.

Socio-Cultural Contexts
Provides theoretical frameworks used in the analysis of the relationships between games and social-cultural contexts. A detailed study of work conducted on the social-cultural implications of games from across a range of disciplines. There is a focused study of an existing MMoRPG (massively multiplayer on-line role-playing game).

Project
A dissertation of 15,000 – 20,000 words or 10,000 words with practical component delivered in either digital format or as a design document.

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This MSc Product Design programme is for students with a background in design, engineering or related areas. The course and modules aim to develop and enhance your innovation skills and knowledge required to achieve successful product design development and innovation. Read more
This MSc Product Design programme is for students with a background in design, engineering or related areas. The course and modules aim to develop and enhance your innovation skills and knowledge required to achieve successful product design development and innovation.

You will develop a high level of creativity and design ideas as a part of your response to possible market opportunities. This is a key element to your learning on this programme.

The course will also enable you to develop a critical understanding of sustainable factors and its relevance and importance to all our futures. The course creates opportunities for students to originate new ideas and model or prototype design solutions that will meet perceived manufacturing, marketing and consumer needs.

Subject guide and modules

The range of modules reflects the nature of innovative design solutions plus the additional knowledge and skills required to put it into practice professionally. Elective module selection is detailed in the Programme Specifications.

Core Taught Modules
-New Product Development (EM4006)
-Research Project (PD4001)
-Product Design Innovation (PD4002)
-Sustainable Design (PD4005)
-Innovation Business Development (PD4008)
-Design Realisation (PD4009)
-International Studies (PD4010)

Optional Taught Modules
-Strategic Management (EM4002)
-Computational Fluid Dynamics and Applications (ME4501)
-Finite Element Analysis: Theory and Application (ME4502)
-Renewable Energy (ME4504)
-CAD Principles and Materials Selection (ME4505)
-Advanced Computer Aided Design (ME4518)

The Major Project module is completed between April and September.
-Major Project (PD4000)

Learning, teaching & assessment

The modules in this programme are delivered with lectures, seminars and lab-based tutorials giving a good balance between scientific methodologies and hands-on practice.

Creativity will underpin much of the interactive work during this course. Developed ideas can be manufactured using a variety of techniques including the use of our range of Rapid – Prototyping equipment.

Modules are assessed mainly through coursework, although some modules may also have exams. The major project is assessed by dissertation and supporting design work. Examples of past major projects range from the development of innovative Rigging for Stunt Kite Boarding, Race Car Suspension using composite technologies with Innovative Designs to the use of Solar Energy to help cool domestic conservatories.

Personal development

This is an interactive course aimed to develop your knowledge and understanding of the changes, developments and potential opportunities that face us all in a Global economy. You will create and deliver a major project and develop effective research and specification skills.

Semester 1 modules will enable you to develop the knowledge, skills and expertise required for this level of work, as well as the opportunity to initiate the research for the major project idea. Semester 2 modules will enable you to extend your professional understanding and expertise through module coursework, individual projects and teamwork.

You will also make several individual presentations and get chance to hone your interview techniques.

Professional accreditation

This programme is fully accredited by the Institution of Engineering Designers leading to Chartered Engineering status (CEng).

Career prospects

Career prospects for graduates are excellent On completion of this one year course the student should be able to confidently develop their own product ideas and innovations ‘ready for manufacture and marketing’, start their own design business enterprise, or enter new product development organisations and other creative businesses at a higher level of responsibility.

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This course provides specialist skills in core systems biology with a focus on the development of computational and mathematical research skills. Read more

Course Overview

This course provides specialist skills in core systems biology with a focus on the development of computational and mathematical research skills. It specialises in computational design, providing essential computing and engineering skills that allow you to develop software to program biological systems.

This interdisciplinary course is based in the School of Computing Science and taught jointly with the Faculty of Medical Sciences and the School of Mathematics and Statistics. The course is ideal for students aiming for careers in industry or academia. We cater for students with a range of backgrounds, including Life Sciences, Computing Science, Mathematics and Engineering.

Computational Systems Biology is focused on the study of organisms from a holistic perspective. Computational design of biological systems is essential for allowing the construction of complex and large biological systems.

Modules

For detailed module information see http://www.ncl.ac.uk/postgraduate/courses/degrees/computational-systems-biology-msc/#modules

How to apply

For course application information see http://www.ncl.ac.uk/postgraduate/courses/degrees/computational-systems-biology-msc/#howtoapply

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This course provides you with a balance of molecular biology, engineering, computing and modelling skills necessary for a career in synthetic biology. Read more

Course Overview

This course provides you with a balance of molecular biology, engineering, computing and modelling skills necessary for a career in synthetic biology. Computational design of biological systems is important as the field of synthetic biology grows. This allows the construction of complex and large biological systems.

While laboratory approaches to engineering biological systems are a major focus, the course specialises in computational design. This provides you with essential computing and engineering skills to allow you to develop software to program biological systems.

Our course is designed for students from both biological and computational backgrounds. Prior experience with computers or computer programming is not required. Students with mathematical, engineering or other scientific backgrounds are also welcome to apply. It is ideal if you are aiming for careers in industry or academia.

We provide a unique, multidisciplinary experience that is essential for understanding synthetic biology. The programme draws together the highly-rated teaching and research expertise of our Schools of Computing Science, Mathematics and Statistics, and Biology, as well as the Medical Faculty and the Institute of Human Genetics.

Modules

For detailed module information see http://www.ncl.ac.uk/postgraduate/courses/degrees/synthetic-biology-msc/#modules

How to apply

For course application information see http://www.ncl.ac.uk/postgraduate/courses/degrees/synthetic-biology-msc/#howtoapply

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Digital technologies are rapidly changing the way buildings and urban spaces are designed, constructed and inhabited. On this course you’ll learn the theoretical knowledge and technical skills required to produce innovative blueprints for architecture in the digital era. Read more
Digital technologies are rapidly changing the way buildings and urban spaces are designed, constructed and inhabited. On this course you’ll learn the theoretical knowledge and technical skills required to produce innovative blueprints for architecture in the digital era.

The past decade has shown rapidly growing expectations for built spaces with capacity to respond dynamically to changes such as shifts in demographics, new and emerging technology, climate change and ageing populations. These are global challenges and opportunities which demand architects and designers with the ability to creatively shape the way that buildings, landscapes and cities age and adapt over time.

Careers

Graduates go on to careers leading future practice in the digital creative industries, architecture and urban design, digital technology development and environmental design consultancy. The course also fully prepares graduates who are interested in pursuing doctoral studies towards a PhD.

Core modules

Parametric Architectural Geometry; Building Information Modelling Management and Analysis; Challenges of Digital Architecture; Studio Project; Elements of Computational Design 1 and 2; Dissertation Project.

Examples of Optional Modules

Advanced Computational Design; Interactive Urban Visualisation Modelling; Renewable Energy; Conservation and Regeneration Principles and Approaches; Building Information Modelling, Management and Analysis.

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As a Data Visualisation Designer you can contribute innovative solutions with the potential to transform societal challenges, by designing the human interface to increasingly complex problems. Read more

Why take this course?

As a Data Visualisation Designer you can contribute innovative solutions with the potential to transform societal challenges, by designing the human interface to increasingly complex problems.

On this course, you will learn how to create rich and meaningful stories with data. We will study digital content in any mode, whether it is in alphanumeric form, binary, vector, pixel, video, or others. The designer provides an important interface, that allows us to explore data and generates meaningful communication. This communication is predominantly visual, but with developments in Wearables and the Internet of Things, is also becoming increasingly physical, affective, networked and interactive. Data Visualisation Design spans traditional graphic and information design, interaction design, information architecture, computational design, design thinking and user-centred and user experience design.

What will I experience?

On this course you can:

Learn the theory and practice of data visualisation, data, interface/interaction design and user experience, and apply this to your own design
Critically question the role of data related to the social, political, economic and cultural through contextual research
Explore live data sets from real world scenarios, such as industry or charities like the digital humanitarian network
Develop independent research and project ideas to create innovative, forward thinking design solutions and experiences for a digital and data driven world

What opportunities might it lead to?

The course will prepare you to work in the design disciplines of the creative industries, with a focus on data visualisation, information design, computational design, digital content, interactivity and user experience. Data Visualisation designers are in demand in sectors including business, research, health, education, government/public service, the arts.

The skills gained on this course can also be applied to employment in UI (user interface) design, or focus on interaction as a UX (User experience) designer. The critical and contextual outlook allows you to position yourself as a strategist and operate in a consultative manner. The research aspect of the course would also suit a career in compulsory, further and higher education.

Careers include:

Data Visualisation Design
Information Design
Digital Graphic Design
UI (user interface) / UX (user experience) design
Interaction design

Module Details

The course is offered over one year (full-time) or two years (part-time).

You will study five units, one of which is shared with other MA courses in the School of Art and Design. There will be preparatory units delivering a grounding in practical skills, theoretical context and academic research (competencies and skills). You will also study units that allow more thematic engagement with interactive and data driven design in terms of theory such as critical design, affordances, experience and complexity. It will also provide a unit oriented towards employability, and incorporate live briefs and group work. These units work to catalyse your own ideas and research direction for the Major Project unit.

Core units currently comprise:

A Question of Research
Fundamentals of Data and Interaction Design
Digital Futures – Themes and Issues in Practice
Design Solutions for Enterprise, Society and Culture
Major Project

Programme Details

The teaching combines interactive lectures and group seminar discussions with support through one-to-one tutorials. You also receive feedback on your work through friendly but critical peer review in group sessions with other students, members of faculty and other experts as appropriate. One of the units includes working as a team. Your project work emphasises self-initiated learning which gives you the freedom to explore the specialist area of your interest, while being helpfully guided by your supervisor. The curriculum is very closely related to the research areas in the department, so the staff have cutting edge knowledge of the field and its potential for innovation.

Your learning is mostly assessed through the submission of practical course work, such as digital prototypes, and the documentation of the learning journey in sketchbooks, diaries, blogs or journals.

This will be documenting contextual research as well as stages in practical experimentation and annotation of reflection. There are some written elements to be submitted as well, mostly accompanying proposals/reports to contextualise your practice. The assessment also includes individual and group presentations, this mode is also used to give you formative feedback on your work throughout.

Here's how we assess your work:

Digital artefacts / prototypes
Learning journals
Proposals
Reports
Oral presentation

Student Destinations

This course is an opportunity to focus your creative design practice on the interactive, data driven, user centred and culturally contextualised. It also enhances your design career by upgrading your skills and widening your knowledge and thinking in the digital arena, allowing you to stay one step ahead of the rest. The independent research aspect of the course prepares you for further education in terms of a research degree and employment in R&D and/or education.

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Design informatics focuses on designing with data. This course is run in conjunction with Edinburgh College of Art through the Centre for Design Informatics. Read more

Programme description

Design informatics focuses on designing with data. This course is run in conjunction with Edinburgh College of Art through the Centre for Design Informatics.

On this programme you will learn how to build computational systems as well as the principles of design thinking and making.

Through case studies of real-life products you will apply your knowledge in a practical way, developing an understanding of what it takes to create, design and take a product to market.

Programme structure

Design Informatics: designing with data can be explored in most specialist areas of Informatics, but Design Informatics emphasises entrepreneurial product development.

In the first year you follow two semesters of taught courses, attending lectures, tutorials and group practicals to acquire the theoretical foundation to enable you to engage in independent research.

In the summer you have a commercial or public semester placement, where you will work on a project that will help you test and reflect on your knowledge and skills.

In the second year, taught courses focus on product design, and you will gain experience in leading a group, before completing a dissertation project.

Compulsory courses:

-Case Studies in Design Informatics 1
-Design with Data
-Design Informatics Project
-Histories and Futures of Technology
-Dissertation
-Placement

Option courses:

-Accelerated Natural Language Processing
-Computer Graphics
-Extreme Computing
-Introduction to Vision and Robotics
-Text Technologies for Data Science
-Automatic Speech Recognition
-Innovation Driven Entrepreneurship

Work placement/internship:
You will work on a project that will help you use your skills and knowledge during a summer placement with a commercial or public sector organisation.

Career opportunities

This degree will put you at the cutting edge of design technology and technology for design, opening a host of opportunities in the commercial sector.

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Design informatics focuses on designing with data. This programme is run in conjunction with Edinburgh College of Art through the Centre for Design Informatics. Read more

Programme description

Design informatics focuses on designing with data. This programme is run in conjunction with Edinburgh College of Art through the Centre for Design Informatics.

On this programme you will learn how to build computational systems as well as the principles of design thinking and making.

Through case studies of real-life products you will apply your knowledge in a practical way, developing an understanding of what it takes to create, design and take a product to market.

Programme structure

You follow two semesters of taught courses, attending lectures, tutorials and group practicals to acquire the theoretical foundation to enable you to engage in independent research.

Between May and August you will do a major individual research project on which you will write a dissertation.

Design Informatics: designing with data can be explored in most specialist areas of Informatics, but with a focus on entrepreneurial product development.

Compulsory courses:

Case Studies in Design Informatics 1
Design with Data
Design Informatics Project
Histories and Futures of Technology
Dissertation

Option courses include:

Accelerated Natural Language Processing
Computer Graphics
Extreme Computing
Text Technologies for Data Science
Automatic Speech Recognition
Innovation Driven Entrepreneurship

Career opportunities

This degree will put you at the cutting edge of design technology and technology for design, opening a host of opportunities in the commercial sector.

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Graduate education in Computational Science and Engineering (CMSE) at Koç University is offered through an interdisciplinary program among the Departments of the College of Arts and Sciences and the College of Engineering. Read more
Graduate education in Computational Science and Engineering (CMSE) at Koç University is offered through an interdisciplinary program among the Departments of the College of Arts and Sciences and the College of Engineering. In this program graduate students are trained on modern computational science techniques and their applications to solve scientific and engineering problems. New technological problems and associated research challenges heavily depend on computational modeling and problem solving. Because of the availability of powerful and inexpensive computers model-based computational experimentation is now a standard approach to analysis and design of complex systems where real experiments can be expensive or infeasible. Graduates of the CMSE Program should be capable of formulating solutions to computational problems through the use of multidisciplinary knowledge gained from a combination of classroom and laboratory experiences in basic sciences and engineering. Individuals with B.S. degrees in biology, chemistry, physics, and related engineering disciplines should apply for graduate study in the CMSE Program.

Current faculty projects and research interests:

• Computational Biology & Bioinformatics
• Computational Chemistry
• Computational Physics
• Molecular Dynamics and Simulation
• Parallel and High Performance Computing
• Computational Fluid Dynamics
• Dynamical and Stochastic Systems
• Quantum Mechanics of Many Body Systems
• Electronic Design Automation
• Numerical Methods
• Simulation of Material Synthesis
• Structural Dynamics
• Biomedical Modeling and Simulation
• Virtual Environments

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Computational modelling is crucial for many industries, from bioengineering to automotive and aerospace. Read more

Summary

Computational modelling is crucial for many industries, from bioengineering to automotive and aerospace. This academically challenging course covers the latest techniques, methods and simulation software to give accurate insights into how innovative design ideas will work in practice and how to work effectively with industry.

Modules

Compulsory modules: Introduction to Advanced Mechanical Engineering Science; Numerical Methods; Advanced Computational Methods I; Design Search and Optimisation (DSO) - principles, methods, parameterizations and case studies; MSc Research Project

Optional modules: further module options are available

Visit our website for further information...



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Our MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling. Read more
Our MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling.

We provide practical, hands-on learning about how modern, highly computerised financial markets work, how assets should be priced, and how investors should construct a portfolio of assets. In addition to traditional topics in derivatives and asset pricing, we place a special emphasis on risk management in non-Gaussian environment with extreme events.

You master these areas through studying topics including:
-Non-linear and evolutionary computational methods for derivatives pricing and portfolio management
-Applications of calculus and statistical methods
-Computational intelligence in finance and economics
-Financial markets

You also graduate with an understanding of the use of artificial financial market environments for stress testing, and the design of auctions and other financial contracts.

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.

Our research is geared towards real-world, practical applications, and many of our academic staff have experience of applying their findings in industry and in advising the UK government.

This course is also available on a part-time basis.

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.

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
-Financial Engineering and Risk Management
-Introduction to Financial Market Analysis
-Learning and Computational Intelligence in Economics and Finance
-Professional Practice and Research Methodology
-Quantitative Methods in Finance and Trading
-Big-Data for Computational Finance (optional)
-Industry Expert Lectures in Finance (optional)
-Mathematical Research Techniques Using Matlab (optional)
-Programming in Python (optional)
-Artificial Neural Networks (optional)
-High Frequency Finance and Empirical Market Microstructure (optional)
-Machine Learning and Data Mining (optional)
-Trading Global Financial Markets (optional)
-Creating and Growing a New Business Venture (optional)
-Evolutionary Computation and Genetic Programming (optional)
-Constraint Satisfaction for Decision Making (optional)

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This MSc offers a comprehensive guide to all aspects of modern day drug design. It is taught by research scientists, clinicians and industry experts. Read more
This MSc offers a comprehensive guide to all aspects of modern day drug design. It is taught by research scientists, clinicians and industry experts. Our graduates have progressed to undertake or obtain PhDs or medical studentships, or have found employment in both the private and public sector.

Degree information

The programme covers all aspects of drug design, including genomics, bioinformatics, structural biology, cheminformatics, molecular modelling and fragment-based drug design, drug target selection, intellectual property and marketing. New therapies and research areas such as antibodies, siRNA, stem cells and high throughput screening are covered. Students will develop essential skills such as research methods and techniques of drug design.

Students undertake modules to the value of 180 credits. The programme consists of eight core modules (120 credits) and a research project (60 credits). A Postgraduate Diploma (120 credits) is also offered. A Postgraduate Certificate (60 credits) is also offered. There are no optional modules for this programme.

Core modules
-Bioinformatics and Structural Biology
-Target Identification and High Throughput Screening
-Cheminformatics and Computer Drug Design
-Biological Molecules as Therapeutics - Antibodies, siRNA, and Stem Cells
-Biophysical Screening Methods, Protein NMR and Phenotypic Screening
-Fragment Based Drug Design (FBDD)
-Target Selection - Scientific Grounds
-Target Selection - Commercial and Intellectual Property

Dissertation/report
All MSc students undertake an independent research project which can take the form of a literature project, wet lab/computer modelling based project or an external project with an industrial sponsor.

Teaching and learning
The programme is delivered through a combination of lectures, tutorials, self study, practical sessions and discussion groups. The research project forms one third of the programme. Each of the taught modules is assessed by unseen written examination (50%) and coursework (50%). The research project is assessed by the dissertation and viva.

Careers

The programme will provide a good background for students looking to establish a career in drug design/discovery and related industries (biotech, pharma, national research laboratories and NHS agencies), and for industry professionals seeking to gain a greater understanding of new methodology. The knowledge and transferable skills delivered will also be useful for those intent on further PhD or medical studies.

Top career destinations for this degree:
-Industrial Chemistry, University of Oxford
-PhD Researcher (Molecular Biology), EMBL (European Molecular Biology Laboratory)
-Cancer Research, Imperial College London
-PhD Drug Design, University College London (UCL)
-PhD Oncology, Tianjin University

Employability
Graduates from this programme have progressed to PhD/medical studentships at different universities and research institutes around the world, including Oxford, UCL, Grenoble, EMBL, and in the USA and China. Many alumni have secured positions in research teaching and technical sales in the private and public sectors.

Why study this degree at UCL?

UCL is listed among the top five universities in the TImes Higher Education QS World University Rankings 2015/16 and is located in the centre of one of the world's finest cities. UCL is one of Europe's best and largest centres for biomedical research.

At the Wolfson Institute for Biomedical Research, we have pioneered multidisciplinary research with a particular emphasis on translating that research into useful clinical benefit. Our research expertise includes: medicinal chemistry, computational drug design, neuronal development and signalling, cell cycle control, intensive care medicine, stem cells, mitochondrial biology and cancer.

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