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Masters Degrees (Computational Modelling)

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What is the Erasmus Mundus Master of Science in Theoretical Chemistry and Computational Modelling all about?. Get in at the bleeding edge of contemporary chemistry. Read more

What is the Erasmus Mundus Master of Science in Theoretical Chemistry and Computational Modelling all about?

Get in at the bleeding edge of contemporary chemistry: theoretical and computational chemistry are marking the new era that lies ahead in the molecular sciences. The aim of the programme is to train scientists that are able to address a wide range of problems inmodern chemical, physical and biological sciences through the combination of theoretical and computational tools.

This programme is organised by:

  • Universidad Autónoma de Madrid (coordinating institution), Spain
  • Universiteit Groningen, the Netherlands
  • KU Leuven, Belgium
  • Università degli Studi di Perugia, Italy
  • Universidade do Porto, Portugal
  • Université Paul Sabatier - Toulouse III, France
  • Universitat de Valencia, Spain

The Erasmus Mundus Master of Theoretical Chemistry and Computational Modelling is a joint initiative of these European Universities, including KU Leuven and co-ordinated by the Universidad Autónoma de Madrid. 

This is an initial Master's programme and can be followed on a full-time or part-time basis.

Structure

The programme is organised according to a two-year structure.

  • The first year of the programme introduces you to concepts and methods. The core of the programme is an intensive international course intended to bring all participants to a common level of excellence. It takes place in the summer between year 1 and year 2 and runs for four weeks. Coursework is taught by a select group of invited international experts.
  • The second year of the programme is devoted to tutorials covering the material dealt with in the intensive course and to a thesis project carried out in part at another university within the consortium. The intensive course is organised at the partner institutions on a rotating basis.

Department

The Department of Chemistry consists of four divisions, all of which conduct highquality research embedded in well-established collaborations with other universities, research institutes and companies around the world. Its academic staff is committed to excellence in teaching and research. Although the department's primary goal is to obtain insight into the composition, structure and properties of chemical compounds and the design, synthesis and development of new (bio)molecular materials, this knowledge often leads to applications with important economic or societal benefits.

The department aims to develop and maintain leading, internationally renowned research programmes dedicated to solving fundamental and applied problems in the fields of:

  • the design, synthesis and characterisation of new compounds (organic-inorganic, polymers).
  • the simulation of the properties and reactivity of (bio)molecules, polymers and clusters by quantum chemical and molecular modelling methods.
  • the determination of the chemical and physical properties of (bio)molecules, and polymers on the molecular as well as on the material level by spectroscopy, microscopy and other characterisation tools as related to their structure.

Objectives

Modern Chemistry is unthinkable without the achievements of Theoretical and Computational Chemistry. As a result these disciplines have become a mandatory tool for the molecular science towards the end of the 20th century, and they will undoubtedly mark the new era that lies ahead of us.

In this perspective the training and formation of the new generations of computational and theoretical chemists with a deep and broad knowledge is of paramount importance. Experts from seven European universities have decided to join forces in a European Master Course for Theoretical Chemistry and Computational Modelling (TCCM). This course is recognized as an Erasmus Mundus course by the European Union.

Graduates will have acquired the skills and competences for advanced research in chemical, physical and material sciences, will be qualified to collaborate in an international research team, and will be able to develop professional activities as experts in molecular design in pharmaceutical industry, petrochemical companies and new-materials industry.

Career perspectives

In addition to commanding sound theoretical knowledge in chemistry and computational modelling, you will be equipped to apply any of the scientific codes mastered in the programme in a work environment, or develop new codes to address new requirements associated with research or productive activities.

You will have attained the necessary skills to pursue a scientific career as a doctoral student in chemistry, physics or material science. You will also be qualified to work as an expert in molecular design in the pharmaceutical industry, at petrochemical companies and in the new-materials industry. You will also have a suitable profile to work as a computational expert.



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

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

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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Understanding the relationship between brain, cognition and behaviour is one of the biggest challenges the scientific community is currently working on. Read more

Understanding the relationship between brain, cognition and behaviour is one of the biggest challenges the scientific community is currently working on. Computational cognitive neuroscience is a young and exciting discipline that tackles these long-standing research questions by integrating computer modelling with experimental research.

This Masters programme will foster a new generation of scientists who will be trained in both neuro-computational modelling as well as cognitive neuroscience. Its core topics include:

  • Creating computational/mathematical models of neurons, circuits and cognitive functions
  • The fundamentals of cognitive neuroscience (brain mechanisms and structures underlying cognition and behaviour)
  • Advanced data analysis and neuroimaging techniques

The programme is suitable for students from a variety of disciplines including - but not limited to - psychology, computing, neuroscience, engineering, biology, maths and physics. Students with no prior programming experience are welcome.

Graduates of this Masters will acquire a unique set of complementary skills that will make them extremely competitive in securing research or analyst positions in both academia and industry.

Why study this course?

  • This cutting-edge programme is at the forefront of a new, rapidly emerging field of research.
  • It is multidisciplinary, conveying the theory and practice of computational and cognitive neurosciences.
  • Graduates of this programme will gain a competitive edge in the job market over graduates of other, standard programmes in related fields.

Modules & structure

You will study the following core modules:

You will also undertake a 60 credit research project investigating an aspect of cognitive neuroscience using computational modelling, advanced data analysis methods, or a combination of these techniques. Culminating in a 10,000 word dissertation, the project will be carried out by combining the computational, experimental and data analysis skills that students will acquire over Term 1 and 2.

Option modules

You will choose one option from the following two modules:

  • Data Programming
  • Introduction to MATLAB

You will also choose one of the following 4 options:

Please note that due to staff research commitments not all of these modules may be available every year.

Skills & careers

Graduates of this programme will have the following assets in their portfolio:

  • A sound understanding of brain mechanisms and structures underlying cognition and behaviour
  • Knowledge or experience of experimental cognitive neuroscience methods
  • Skills in statistical data analysis
  • Knowledge of theory and practice of biologically constrained neural models of human brain function
  • Computer programming skills.

Such a cross-disciplinary profile will make graduates of this Masters particularly competitive on the job market, especially when applying for positions that require complementary expertise and skills.

The course prepares students for employment in areas including cognitive neuroscience, IT consultancy, cognitive robotics, as well as large enterprises developing software systems inspired by human cognition (e.g., web-search engines, systems for natural language processing, information extraction, data mining and human-computer interaction).

The course is also ideal preparation for further study at PhD level.



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Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Modelling and Finite Elements in Engineering Mechanics at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Modelling and Finite Elements in Engineering Mechanics at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

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

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

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 postgraduate degree studies the cognitive processes and representations underlying human thought, knowledge and behaviour. It integrates a wide range of disciplines and methodologies with the core assumption that human cognition is a computational process, implemented in neural hardware. Read more
This postgraduate degree studies the cognitive processes and representations underlying human thought, knowledge and behaviour. It integrates a wide range of disciplines and methodologies with the core assumption that human cognition is a computational process, implemented in neural hardware.

Key topics include: the nature of computational explanation; general principles of cognition; methodology of computational modelling; theories of the cognitive architecture; symbol systems; connectionism; neural computation; and case studies in computational cognitive modelling.

The programme involves intensive training in experimental design and methodology, building computational models and carrying out a substantial piece of original research.

Why study this course at Birkbeck?

Draws on academics from many disciplines, including internationally renowned researchers in psychology, computational modelling and neuroscience.
Good foundation for a research career in the cognitive sciences.
Develops an understanding of core theoretical principles of human thought and an expertise in computer simulation.
Designed for graduates of either the computational sciences or the psychological sciences.
The Department of Psychological Sciences has an outstanding research tradition, with an outstanding international reputation in all aspects of cognitive neuroscience, and especially developmental cognitive neuroscience.
You will have the opportunity to interact with world-class researchers in cognitive neuroscience and cognitive neuropsychology, and attend research seminars organised by the department and a number of other local research centres and institutes.
Psychological Sciences at Birkbeck were ranked 5th in the UK in the 2014 Research Excellence Framework (REF) and we achieved 100% for a research environment conducive to research of world-leading quality.
Psychological research at Birkbeck has ranked 5th in the world in a category of the Best Global Universities Rankings 2016, an important and influential index of research quality.

Our research

Birkbeck is one of the world’s leading research-intensive institutions. Our cutting-edge scholarship informs public policy, achieves scientific advances, supports the economy, promotes culture and the arts, and makes a positive difference to society.

Birkbeck’s research excellence was confirmed in the 2014 Research Excellence Framework, which placed Birkbeck 30th in the UK for research, with 73% of our research rated world-leading or internationally excellent.

Psychological Sciences at Birkbeck were rated 5th in the UK in the 2014 Research Excellence Framework (REF) and we achieved 100% for a research environment conducive to research of world-leading quality.

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The development of new materials lies at the heart of many of the technological challenges we currently face, for example creating advanced materials for energy generation. Read more

Overview

The development of new materials lies at the heart of many of the technological challenges we currently face, for example creating advanced materials for energy generation. Computational modelling plays an increasingly important role in the understanding, development and optimisation of new materials. This four year Doctoral Training Programme on computational methods for material modelling aims to train scientists not only in the use of existing modelling methods but also in the underlying computational and mathematical techniques. This will allow students to develop and enhance existing methods, for instance by introducing new capabilities and functionalities, and also to create innovative new software tools for materials modelling in industrial and academic research. The first year of the CDT is a materials modelling option within the MPhil in Scientific Computing (please see the relevant entry) at the University of Cambridge and a range of additional training elements.

The MPhil in Scientific Computing is administered by the Department of Physics, but it serves the training needs of the Schools of Physical Sciences, Technology and Biological Sciences. The ability to have a single Master’s course for such a broad range of disciplines and applications is achieved by offering core (i.e. common for all students) numerical and High Performance Computing (HPC) lecture courses, and complementing them with elective courses relevant to the specific discipline applications.

In this way, it is possible to generate a bespoke training portfolio for each student without losing the benefits of a cohort training approach. This bespoke course is fully flexible in allowing each student to liaise with their academic or industrial supervisor to choose a study area of mutual interest.

See the website http://www.graduate.study.cam.ac.uk/courses/directory/pcphpdcms

Learning Outcomes

By the end of the course, students will have:
- a comprehensive understanding of numerical methods, and a thorough knowledge of the literature, applicable to their own research;
- demonstrated originality in the application of knowledge, together with a practical understanding of how research and enquiry are used to create and interpret knowledge in their field;
- shown abilities in the critical evaluation of current research and research techniques and methodologies;
- demonstrated self-direction and originality in tackling and solving problems, and acted autonomously in the planning and implementation of research.

Teaching

The first year of the CDT has a research as well as a taught element. The students attend lecture courses during the first five months (October-February) and then they will undertake a substantial Research Project over the next 6 months (from March to the end of August) in a participating Department. The research element aims to provide essential skills for a successful completion of the PhD, as well as to assess and enhance the research capacity of the students. It is based on a materials science topic which is studied by means of scientific computation. Research project topics will be provided by academic supervisors or by the industrial partners. Most of the projects are expected to make use the University’s High Performance Computing Service (for which CPU time for training and research has been budgeted for every student).

The taught element comprises core lecture courses on topics of all aspects of scientific computing, and elective lecture courses relevant to the topic of the research project. There is equal examination credit weighting between the taught and the research elements of the course, which is gained by submitting a dissertation on the project and by written assignments and examinations on the core and elective courses, respectively. Weighting of the assessed course components is as follows: Dissertation (research) 50%; written assignments 25%; written examinations 25%.

The core courses are on topics of high-performance scientific computing and advanced numerical methods and techniques; they are taught and examined during the first five months (October-February). Their purpose is to provide the students with essential background knowledge for completing their theses and for their general education in scientific computing.

Appropriate elective courses are selected from Master’s-level courses offered by the Departments of the School of Physical Sciences, Technology or Biological Sciences. The choice of courses will be such as to provide the students with essential background knowledge for completing their theses and for their general education in the materials science application of the project. They are decided in consultation with the project supervisor.

Depending on the materials science application of the research topic, students will follow one of the following two numerical methodology options: a) Continuum methods based on systems of partial differential equations (PDEs, e.g. finite-difference, element or volume methods); or b) atomistic approaches, which can be based on classical particle-based modelling (e.g. molecular dynamics) or on electronic structure- based methods (e.g. density functional theory). The students who take the atomistic modelling options will attend a 12-lecture course before continuing to classical particle-based methods or electronic structure methods. Irrespective of the numerical methodology option, students will attend lecture courses on High Performance Computing topics and elements of Numerical Analysis.

In addition to the comprehensive set of Masters-level courses provided by the MPhil and across the University in the field, which will be available to the CDT students, it will also be possible for students to take supplementary courses (not for examination) at undergraduate level, where a specific need is identified, in order to ensure that any prerequisite knowledge for the Masters courses is in place.

Moreover, depending on their background and circumstances, students may be offered places in the EPSRC-funded Autumn Academy, which takes place just before the start of the academic year (two weeks in September).

Funding Opportunities

Studentships funded by EPSRC and/or Industrial and other partners are available subject to eligibility criteria.

General Funding Opportunities http://www.graduate.study.cam.ac.uk/finance/funding

Find out how to apply here http://www.graduate.study.cam.ac.uk/courses/directory/pcphpdcms/apply

See the website http://www.graduate.study.cam.ac.uk/courses/directory/pcphpdcms

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The University of Dundee has a long history of mathematical biology, going back to Professor Sir D'Arcy Wentworth Thompson, Chair of Natural History, 1884-1917. Read more

Mathematical Biology at Dundee

The University of Dundee has a long history of mathematical biology, going back to Professor Sir D'Arcy Wentworth Thompson, Chair of Natural History, 1884-1917. In his famous book On Growth and Form (where he applied geometric principles to morphological problems) Thompson declares:

"Cell and tissue, shell and bone, leaf and flower, are so many portions of matter, and it is in obedience to the laws of physics that their particles have been moved, molded and conformed. They are no exceptions to the rule that God always geometrizes. Their problems of form are in the first instance mathematical problems, their problems of growth are essentially physical problems, and the morphologist is, ipso facto, a student of physical science."

Current mathematical biology research in Dundee continues in the spirit of D'Arcy Thompson with the application of modern applied mathematics and computational modelling to a range of biological processes involving many different but inter-connected phenomena that occur at different spatial and temporal scales. Specific areas of application are to cancer growth and treatment, ecological models, fungal growth and biofilms. The overall common theme of all the mathematical biology research may be termed"multi-scale mathematical modelling" or, from a biological perspective, "quantitative systems biology" or"quantitative integrative biology".

The Mathematical Biology Research Group currently consists of Professor Mark Chaplain, Dr. Fordyce Davidson and Dr. Paul Macklin along with post-doctoral research assistants and PhD students. Professor Ping Lin provides expertise in the area of computational numerical analysis. The group will shortly be augmented by the arrival of a new Chair in Mathematical Biology (a joint Mathematics/Life Sciences appointment).

As a result, the students will benefit directly not only from the scientific expertise of the above internationally recognized researchers, but also through a wide-range of research activities such as journal clubs and research seminars.

Aims of the programme

1. To provide a Masters-level postgraduate education in the knowledge, skills and understanding of mathematical biology.
2. To enhance analytical and critical abilities and competence in the application of mathematical modeling techniques to problems in biomedicine.

Prramme Content

This one year course involves taking four taught modules in semester 1 (September-December), followed by a further 4 taught modules in semester 2 (January-May), and undertaking a project over the Summer (May-August).

A typical selection of taught modules would be:

Dynamical Systems
Computational Modelling
Statistics & Stochastic Models
Inverse Problems
Mathematical Oncology
Mathematical Ecology & Epidemiology
Mathematical Physiology
Personal Transferable Skills

Finally, all students will undertake a Personal Research Project under the supervision of a member of staff in the Mathematical Biology Research Group.

Methods of Teaching

The programme will involve a variety of teaching formats including lectures, tutorials, seminars, journal clubs, case studies, coursework, and an individual research project.

Taught sessions will be supported by individual reading and study.

Students will be guided to prepare their research project plan and to develop skills and competence in research including project management, critical thinking and problem solving, project reporting and presentation.

Career Prospects

The Biomedical Sciences are now recognizing the need for quantitative, predictive approaches to their traditional qualitative subject areas. Healthcare and Biotechnology are still fast-growing industries in UK, Europe and Worldwide. New start-up companies and large-scale government investment are also opening up employment prospects in emerging economies such as Singapore, China and India.

Students graduating from this programme would be very well placed to take advantage of these global opportunities.

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Aerospace engineering has evolved and diversified since the early days of powered flight. Employers now require skills ranging from aerodynamics and flight control to space engineering simulation and design. Read more
Aerospace engineering has evolved and diversified since the early days of powered flight. Employers now require skills ranging from aerodynamics and flight control to space engineering simulation and design. This diversity means that engineers need to be able to operate and develop advanced devices, and understand complex theoretical and computational models.

* This programme will give you advanced skills in computational modelling, numerical techniques and an in-depth understanding in engineering approaches to aerospace problems
* After your degree, you will be well prepared to develop new computational and technological products for the aerospace industries
* You will join research groups working at the cutting edge of aerospace engineering, and computational modelling
* This is a well established course with variety and choice for students - there are a wide number of engineering modules, but also the chance to specialise on your own area

Why study with us?

The School of Engineering and Materials Science (SEMS) undertakes high quality research in a wide range of areas. This research feeds into our teaching at all levels, helping us to develop very well qualified graduates with opportunities for employment both in many leading industries as well as in research. Both Engineering and Materials are very well established at Queen Mary, with the Aerospace Department being the first established in the UK. Our aerospace teaching programmes were ranked number 2 in the UK in the 2011 National Student Survey.

Studying Engineering has taught me to think, plan, organise and execute tasks in a systematic and methodical manner. Osman Bawa

* This MSc programme is available to students from a variety of non-engineering backgrounds such as Physics, Maths, and Electronic Engineering
* It was the first of its kind in the country; offering some unique modules including, Aeroelasticity, Crash worthiness, and Space engineering
* Students will collaborate with researchers working in alternative fuels sources, so it is relevant and timely
* Aerospace Engineering is an employment related field which allows you to keep up-to-date with the latest developments in design, aerodynamics, propulsion and technology.

Facilities

You will have access to a range of facilities, including:

* Excellent computing resources such as a high-performance computing cluster, several high-performance PC clusters and parallel high-performance SGI computer clusters, an extensive unit of Linux and UNIX workstations.
* A wide range of experimental facilities from low speed wind tunnels with one of the lowest ever recorded turbulence level of 0.01% to supersonic wind tunnels, anechoic chamber dedicated to aeroacoustics problems, two new state-of-the-art electrospray technology laboratories, experimental propulsion, an advanced CueSim flight simulator and labs equipped with modern measurements techniques.
* Engineering and Materials Sciences postgraduates will also have access to the School's extensive experimental facilities used for materials, the latest electron microscopes and a brand new Nanovision centre.

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Understanding all aspects of Human-Robot interaction. the programming that coordinates a robot’s actions with human action as well the human appreciation and trust in the robot. Read more

Understanding all aspects of Human-Robot interaction: the programming that coordinates a robot’s actions with human action as well the human appreciation and trust in the robot.

At present, there are many sensors and actuators in every device – so they may become embedded in a physical reality. For robots that move around in a specific setting there is a pressing need for the development of proper methods of control and joint-action. The embedded, embodied nature of human cognition is an inspiration for this, and vice versa. Computational modelling of such tasks can give insight into the nature of human mental processing. In the Master’s specialisation in Robot Cognition you’ll learn all about the sensors, actuators and the computational modelling that connects them.

Making sense of sensor data – developing artificial perception – is no trivial task. The perception, recognition and even appreciation of sound stimuli for speech and music (i.e. auditory scene analysis) require modelling and representation at many levels and the same holds for visual object recognition and computer vision. In this area, vocal and facial expression recognition (recognition of emotion from voices and faces) is a rapidly growing application area. In the area of action and motor planning, sensorimotor integration and action, there are strong links with research at the world-renowned Donders Centre for Cognition.

At Radboud University we also look beyond the technical side of creating robots that can move, talk and interpret emotions as humans do. We believe that a robot needs to do more than simply function to its best ability. A robot that humans distrust will fail even if it is well programmed. Culture also plays a role in this; people in Japan are more open to the possibilities of robots than in, for example, the Netherlands. We will teach you how to evaluate humans’ attitudes towards a robot in order to use that information to create robots that will be accepted and trusted and therefore perform even better.

See the website http://www.ru.nl/masters/ai/robot

Why study Robot Cognition at Radboud University?

- We offer a great mix of technical and social aspects of robot cognition.

- This programme focuses on programming robot behaviours and evaluating them rather than building the robots themselves. We teach you to programme robots that will be used in close contact with human beings, for example in healthcare and education, rather than in industry.

- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.

- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.

- Together with the world-renowned Donders Institute, the Max Planck Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.

- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.

- Our AI students are a close-knit group; they have their own room in which they often get together to interact, debate and develop their ideas. Every student also receives personal guidance and supervision from a member of our expert staff.

Our research in this field

The programme is closely related to the research carried out in the internationally renowned Donders Institute for Brain, Cognition and Behaviour. This institute has several unique facilities for brain imaging using EEG, fMRI and MEG. You could also cooperate with the Behavioural Science Institute and work in its Virtual Reality Laboratory, which can be used to study social interaction between humans and avatars.

An example of a possible thesis subject:

- Engaging human-robot interactions in healthcare for children and/or the elderly

Social robots are often deployed with 'special' user groups such as children and elderly people. Developing and evaluating robot behaviours for these user groups is a challenge as a proper understanding of their cognitive and social abilities is needed. Depending on the task, children for example need to be engaged and encouraged in a different way than adults do. What are effective robot behaviours and strategies to engage children and/or elderly people? How can these robot behaviours be evaluated in a proper way?

Career prospects

Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Philips, Siemens, Honda, Mercedes, Google. Some students have even gone on to start their own companies.

Job positions

Examples of jobs that a graduate of the specialisation in Robot Cognition could get:

- PhD Researcher on Cognitive-Affective Modelling for Social Robots

- PhD Researcher on Automatic analysis of human group behaviour in the presence of robots

- PhD Researcher on Automatic analysis of affective quality of conversations in human-robot interaction

- Advisor and innovation manager in the healthcare industry

- Social robotics and affective computing for robots expressing emotions

- Developer of control algorithms for using optic flow in drones

- Advisor for start-up company on developing new uses for tactile displays

- Team member in design of emotion recognition and training for autistic children

Internship

Half of your second year consists of an internship, giving you plenty of hands-on experience. We encourage students to do this internship abroad, although this is not mandatory. We do have connections with companies abroad, for example in China, Finland and the United States.

See the website http://www.ru.nl/masters/ai/robot

Radboud University Master's Open Day 10 March 2018



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This MSc programme offers very relevant modules in highly sought-after engineering and scientific subjects. Read more
This MSc programme offers very relevant modules in highly sought-after engineering and scientific subjects. Computational modelling has become an essential part of industrial product development; the manufacturing sector in particular has been experiencing a significant uptake of computational engineering technologies to increase its competitiveness in the global market. This programme is designed for engineering and science graduates, providing a wide exploration of these new and advanced technologies. Problem based learning facilities the application of the modelling techniques.

Subject guide and modules

The range of modules reflects the nature of engineering modelling and the uses it is put to in engineering and commercial practice.
Core modules:
-Computational Fluid Dynamics and Applications (ME4501)
-Practical Numerical Methods (ME4510)
-CAD Principles and Materials Selection (ME4505)
-Advanced Computer Aided Design (ADVCAD) (ME4518)
-Major Project (PD4000)
-Research Project (PD4001)
-Renewable Energy (ME4504)
-Sustainable Design (PD4005)

Elective Modules:
-Solid Mechanics and Finite Element Analysis (ME3070)
-Strategic Finance (EM4001)
-Project Management (EM4003)
-New Product Development (EM4006)
-Innovation Business Development (PD4008)
-Finite Element Analysis: Theory and Application (ME4502)

Learning, teaching & assessment

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

There is a heavy emphasis on the use of computational engineering methods and this is reflected in the way the programme is delivered and assessed.

Modules are assessed through either course work or exams. The major project is assessed by dissertation; examples of past major projects include development of CFD code, aero and structural dynamics of vehicles and aircraft, and analysis of development of industrial machines.

Personal development

Along with the range of technical skills, the Programme aims to develop self reliance, project management, IT communications and research skills.

You will develop and deliver a major dissertation and the necessary project management processes. You will also make several individual presentations and get chance to hone your interview techniques.

Career prospects

Career prospects for graduates are excellent. The programme puts practical engineering modelling, research and project management skills in to the hands of graduate. This helps career progression in industries where computer-based technology is required including manufacturing, R&D, science, IT, design and academia.

Recent graduates have been employed in a range of jobs including:
-Product development with a manufacturer of domestic heating products
-Computer aided design with a manufacturer of military/surveillance equipment

Professional accreditation

The MSc Mechanical Engineering (Modelling) is accredited by the Institution of Mechanical Engineers (IMechE) for the purpose of meeting the educational requirements of Chartered Engineer (CEng).

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Those who study the Masters in Civil Engineering will gain advanced knowledge and associated analytical and problem-solving skills in a range of key sub-disciplines of Civil Engineering, and develop the ability to apply this knowledge in engineering design and to the solution of open-ended and multi-disciplinary problems. Read more
Those who study the Masters in Civil Engineering will gain advanced knowledge and associated analytical and problem-solving skills in a range of key sub-disciplines of Civil Engineering, and develop the ability to apply this knowledge in engineering design and to the solution of open-ended and multi-disciplinary problems. The MSc in Civil Engineering is intended for students with a first degree in Civil Engineering or a closely related discipline who wish to extend their expertise to a higher level in preparation for a professional career.

Why this programme

◾Civil engineering at the University of Glasgow is ranked 4th in the UK and 1st in Scotland (Guardian University Guide 2017).
◾The University of Glasgow’s School of Engineering has been delivering engineering education and research for more than 150 years and is the oldest School of Engineering in the UK.
◾You will select courses from key sub-disciplines of Civil Engineering, notably structural engineering, geotechnical engineering, environmental engineering, computational mechanics and transportation engineering.
◾With all lecture courses selected from sets of options, you can choose to develop a degree of specialization in a given sub-discipline or to remain broad-based, thus tailoring the programme to suit your interests and career aspirations.
◾Two major design project courses will develop your abilities to apply your knowledge of Civil Engineering to design of engineering projects. One of these projects is specifically civil engineering in content, but the other is multi-disciplinary in nature and will also involve MSc students from other engineering disciplines, working in teams to tackle a broad-based design problem.
◾You will also undertake an individual project, allowing you to investigate a specific topic in considerable depth.
◾You will be taught by staff who are leading researchers in their fields, so that course content can reflect state-of-the-art understanding, relevant to future challenges for civil engineering industry and the profession.
◾The programme is designed to provide the advanced education required of civil engineers of tomorrow.
◾With a 93% overall student satisfaction in the National Student Survey 2016, Civil Engineering at Glasgow continues to meet student expectations combining both teaching excellence and a supportive learning environment.

Programme structure

Modes of delivery of the MSc Civil Engineering include lectures, tutorials, design classes and computing labs, and give you the opportunity to take part in team design projects, other coursework and project-based activities, and a major individual project.

Core courses
◾Civil design project
◾Integrated systems design project.

Optional courses

Select a total of 8 courses, at least 5 of which must be from List A:

List A
◾Advanced soil mechanics 5
◾Advanced structural analysis and dynamics 5
◾Applied engineering mechanics 4
◾Computational modelling of non-linear problems 5
◾Introduction to wind engineering
◾Principles of GIS
◾Reclamation of contaminated land 5
◾Structural concrete C5.

List B
◾Environmental biotechnology 4
◾Geotechnical engineering 4
◾Ground engineering 4
◾Renewable energy 4
◾Structural analysis 4
◾Structural design 4
◾Transportation systems engineering 4.

Projects

◾To complete the MSc degree you must undertake an individual project worth 60 credits.
◾Projects can involve laboratory work, computational modelling, fieldwork, theoretical development, design or a study of industry application.
◾The project is an important part of your MSc where you can apply your newly learned skills and show to future employers that you have been working on cutting edge projects relevant to industry.
◾Your project is completed under the supervision of an academic staff member. You can choose a topic from a list of MSc projects in Civil Engineering. Alternatively, should you have your own idea for a project, staff members are always open to discussion of topics.

Example projects

Examples of projects can be found online

*Posters shown are for illustrative purposes

Industry links and employability

◾The School of Engineering has extensive contacts with industrial partners who contribute to several of the taught courses, through active teaching, curriculum development, and panel discussion.
◾The two design projects courses represent the types of projects undertaken in industry, and typically there will be input from industry practitioners in setting up the projects used in these courses.
◾Some MSc individual projects will involve interaction with industry.

Career prospects

Career opportunities include positions in civil engineering, structural engineering and environmental engineering, and working with design consultants, contractors and public authorities or utilities.

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Leading engineers are using cutting-edge computational design techniques to transform our world. The latest simulation software can give accurate insights into how innovative design ideas will work in practice. Read more

Leading engineers are using cutting-edge computational design techniques to transform our world. The latest simulation software can give accurate insights into how innovative design ideas will work in practice. Effective modelling is vital in many industries including the automotive, aerospace and bioengineering sectors. We offer an exciting postgraduate degree in Computational Engineering Design covering the latest techniques and methods, taught by lecturers who are also active researchers working with industry.

Introducing your degree

The MSc Computational Engineering Design is a one-year masters degree. The 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.

Overview

Computational modelling is crucial for many industries, from bioengineering to automotive and aerospace. You will learn to use various software tools to assess the feasibility of designs. We also teach you to use advanced numerical methods and apply design search and optimisation principles to solve design problems.

The year will be divided into two semesters. Each semester, you will study core modules as well as choosing specialist modules that interest you, from Aircraft Structural Design to Engineering Design with Management.

The last four months will centre on research. You will have the chance to complete a significant research project under the guidance of our prestigious Computational Engineering and Design Research Groupwho have strong links with academia and industry.

The course will equip you with the specialist knowledge and practical skills for a professional career or further research in computational engineering design.

View the specification document for this course



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Inspiring the future crop of experts in Computational Science and Engineering. Students will gain deep knowledge and skills in cutting-edge computational techniques for real world science and engineering applications to meet industry demand. Read more

Inspiring the future crop of experts in Computational Science and Engineering

Students will gain deep knowledge and skills in cutting-edge computational techniques for real world science and engineering applications to meet industry demand.

The Applied Computational Science and Engineering MSc will educate future domain-specialists in computational science. This course will expand your knowledge of numerical methods, computational science, and how to solve large scale problems by applying novel science and engineering approaches. It is suitable for graduates of disciplines including mathematics and physical sciences, geophysics and engineering, and computer science.

  • Preparing tomorrow’s technologists, entrepreneurs and computational problem solvers
  • Large scale, big data, machine learning
  • Model dynamical processes using numerical methods and advanced programming
  • Combining mathematics, physical sciences, engineering, and computational science

Study Programme

Students will have the chance to participate in individual and group research projects as well as to write reports and present technical work, developing the project management and numerical skills that are desired by employers.

The study programme consists of eight taught modules, and one individual research project which accounts for one third of the study programme.

Term 1

Modern programming methods

Modelling dynamical processes

Numerical methods

Applying computational science

Term 2

Advanced programming

Patterns for parallel programming

Inversion and optimisation

Machine learning

Term 3 (summer)

Independent Project

This immersive, hands-on MSc course will enable students to develop their skills and techniques for a range of science and engineering applications utilising High Performance Computing resources. Students will learn alongside world-class researchers in the Department of Earth Science and Engineering. There will be a strong emphasis on high productivity problem solving using modern computational methods and technologies, including computer code development and parallel algorithms.

Applicants who want to pursue analytical careers in industry geoscience and engineering are a target for this course. Graduates will develop the skills necessary to enter the modern industrial workforce. This MSc will also prepare for your PhD studies in fields such as computational techniques, simulation, numerical modelling, optimisation and inversion, heat transfer, and machine learning applications.

The Applied Computational Science and Engineering MSc programme will ensure that students are able to apply appropriate computational techniques to understand, define and develop solutions to a range of science and engineering problems. You will have the chance to participate in individual and group research projects as well as to write reports and present technical work, developing the project management and numerical skills desired by employers.

Key Information

Duration: 1 year full-time

Start Date: October 2018

Campus: South Kensington, London

ECTS: 90 Credits

Please contact Postgraduate Education Manager, Samantha Symmonds, with any queries: 

Flyer for new Applied Computational Science and Engineering MSc

The Applied Computational Science and Engineering MSc is subject to College approval.

Find out more about postgraduate study at Imperial College London, including tuition fees, admissions and how to apply.



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The Masters in Civil Engineering & Management introduces you to contemporary business and management issues while increasing your depth of knowledge in your chosen civil engineering speciality. Read more
The Masters in Civil Engineering & Management introduces you to contemporary business and management issues while increasing your depth of knowledge in your chosen civil engineering speciality.

Why this programme

◾Civil engineering at the University of Glasgow is ranked 4th in the UK and 1st in Scotland (Guardian University Guide 2017).
◾With a 93% overall student satisfaction in the National Student Survey 2016, Civil Engineering at Glasgow continues to meet student expectations combining both teaching excellence and a supportive learning environment.
◾The University has a long history of research in Civil Engineering. The UK's first Chair of Civil Engineering was established at the University in 1840 and early occupants such as William J. M. Rankine set a research ethos that has endured.
◾You will be taught jointly by staff from the School of Engineering and the Adam Smith Business School. You will benefit from their combined resources and expertise and from an industry-focused curriculum.
◾If you are a graduate engineer looking to broaden your knowledge of management while also furthering your knowledge of civil engineering, this innovative programme is designed for you.
◾You will gain first-hand experience of managing an engineering project through the integrated systems design project, allowing development of skills in project management, quality management and costing.
◾You will be able to apply management to engineering projects, allowing you to gain an advantage in today’s competitive job market and advance to the most senior positions within an engineering organisation.
◾This programme has a September and January intake.

Programme structure

There are two semesters of taught material and a summer session during which you will work on an individual supervised project and write a dissertation on its outcomes. Students entering the programme in January are restricted to civil engineering (i.e. excluding management) topics only.

Semester 1

You will be based in the Adam Smith Business School, developing knowledge and skills in management principles and techniques. We offer an applied approach, with an emphasis on an informed critical evaluation of information, and the subsequent application of concepts and tools to the core areas of business and management.
◾Contemporary issues in human resource management
◾Managing creativity and innovation
◾Managing innovative change
◾Marketing management
◾Operations management
◾Project management.

Semester 2

You will study engineering courses, which aim to enhance your group working and project management capability at the same time as improving your depth of knowledge in chosen civil engineering subjects.
◾Integrated systems design project.

Optional courses

Select a total of 4 courses from Lists A and B, at least 1 must be from List A:

List A

◾Advanced soil mechanics 5
◾Advanced structural analysis and dynamics 5
◾Computational modelling of non-linear problems 5
◾Introduction to wind engineering
◾Principles of GIS.

List B

◾Geotechnical engineering 3
◾Ground engineering 4
◾Recycling urban land
◾Structural analysis 4
◾Transportation systems engineering 4.

Project or dissertation

You will undertake an individual project or dissertation work in the summer period (May–August). This will give you an opportunity to apply and consolidate the course material and enhance your ability to do independent work, as well as present results in the most appropriate format. Project and dissertation options are closely linked to staff research interests. September entry students have a choice of management dissertation topics in addition to civil engineering projects, and January entry students have a choice of civil engineering projects.

Projects

There are two semesters of taught material and a summer session during which you will work on an individual supervised project and write a dissertation on its outcomes. Students entering the programme in January are restricted to civil engineering (i.e. excluding management) topics only.

Semester 1

You will be based in the Adam Smith Business School, developing knowledge and skills in management principles and techniques. We offer an applied approach, with an emphasis on an informed critical evaluation of information, and the subsequent application of concepts and tools to the core areas of business and management.
◾Contemporary issues in human resource management
◾Managing creativity and innovation
◾Managing innovative change
◾Marketing management
◾Operations management
◾Project management.

Semester 2

You will study engineering courses, which aim to enhance your group working and project management capability at the same time as improving your depth of knowledge in chosen civil engineering subjects.
◾Integrated systems design project.

Optional courses

Select a total of 4 courses from Lists A and B, at least 1 must be from List A:

List A
◾Advanced soil mechanics 5
◾Advanced structural analysis and dynamics 5
◾Computational modelling of non-linear problems 5
◾Introduction to wind engineering
◾Principles of GIS.

List B
◾Geotechnical engineering 3
◾Ground engineering 4
◾Recycling urban land
◾Structural analysis 4
◾Transportation systems engineering 4.

Project or dissertation

You will undertake an individual project or dissertation work in the summer period (May–August). This will give you an opportunity to apply and consolidate the course material and enhance your ability to do independent work, as well as present results in the most appropriate format. Project and dissertation options are closely linked to staff research interests. September entry students have a choice of management dissertation topics in addition to civil engineering projects, and January entry students have a choice of civil engineering projects.

Industry links and employability

◾The programme makes use of the combined resources and complementary expertise of the civil engineering and business school staff to deliver a curriculum which is relevant to the needs of industry.
◾You, as a graduate of this programme, will be capable of applying the extremely important aspect of management to engineering projects allowing you to gain an advantage in today’s competitive job market and advance to the most senior positions within an engineering organisation.
◾The School of Engineering has extensive contacts with industrial partners who contribute to several of their taught courses, through active teaching, curriculum development, and panel discussion. Recent contributions in Civil Engineering include: Arup and Mott MacDonald.
◾During the programme students have an opportunity to develop and practice relevant professional and transferable skills, and to meet and learn from employers about working in the civil engineering industry.

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