Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Simulation Driven Product Design at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
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.
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.
MSc by Research in Simulation Driven Product Design typically lasts one year full-time, two to three years part-time. This is an individual research project written up in a thesis of 30,000 words.
Engineering at Swansea University has utilised an award of £3M from the Science Research Infrastructure Fund (SRIF) to provide state-of-the-art research facilities.
Simulation Driven Product Design research students will benefit from one of the most advanced university computing facilities in Europe.
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.
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.
The Research Assessment Exercise (RAE) in 2008 ranked Engineering at Swansea University as 8th in the UK for the combined score in the research quality across the Engineering disciplines.
The RAE showed that 73% of research produced by academic staff is classified as world-leading (4*) or of internationally excellent (3*) quality.
Research pioneered at the College of Engineering, Swansea University 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.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Power Engineering and Sustainable Energy at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
The Master's course in Power Engineering and Sustainable Energy places strong emphasis on state-of-the-art semiconductor devices and technologies, advanced power electronics and drives, and advanced power systems. The Power Engineering and Sustainable Energy course also covers conventional and renewable energy generation technologies. Exciting new developments such as wide band gap electronics, energy harvesting, solar cells and biofuels are discussed and recent developments in power electronics are highlighted.
The College of Engineering has an international reputation for electrical and electronics research for energy and advanced semiconductor materials and devices.
Greenhouse gas emission and, consequently, global warming are threatening the global economy and world as we know it. A non-rational use of electrical energy largely contributes to these.
Sustainable energy generation and utilisation is a vital industry in today’s energy thirsty world. Energy generation and conversion, in the most efficient way possible, is the key to reducing carbon emissions. It is an essential element of novel energy power generation system and future transportation systems. The core of an energy conversion system is the power electronics converter which in one hand ensures the maximum power capture from any energy source and on another hand controls the power quality delivered to grid. Therefore the converter parameters such as efficiency, reliability and costs are directly affecting the performance of an energy system.
Transmission and distribution systems will encounter many challenges in the near future. Decentralisation of generation and storage systems has emerged as a promising solution. Consequently, in the near future, a power grid will no longer be a mono-directional energy flow system but a bi-directional one, requiring a much more complex management.
The MSc in Power Engineering and Sustainable Energy is modular in structure. Students must obtain a total of 180 credits to qualify for the degree. This is made up of 120 credits in the taught element (Part One) and a project (Part Two) that is worth 60 credits and culminates in a written dissertation. Power Engineering and Sustainable Energy students must successfully complete Part One before being allowed to progress to Part Two.
Part-time Delivery mode
The part-time scheme is a version of the full-time equivalent MSc in Power Engineering and Sustainable Energy scheme, and as such it means lectures are spread right across each week and you may have lectures across every day. Due to this timetabling format, the College advises that the scheme is likely to suit individuals who are looking to combine this with other commitments (typically family/caring) and who are looking for a less than full-time study option.
Those candidates seeking to combine the part-time option with full-time work are unlikely to find the timetable suitable, unless their job is extremely flexible and local to the Bay Campus.
Modules on the MSc Power Engineering and Sustainable Energy course can vary each year but you could expect to study:
Advanced Power Electronics and Drives
Power Semiconductor Devices
Advanced Power Systems
Energy and Power Engineering Laboratory
Power Generation Systems
Modern Control Systems
Wide Band-Gap Electronics
Environmental Analysis and Legislation
Communication Skills for Research Engineers
The new home of MSc in Power Engineering and Sustainable Energy is at the innovative Bay Campus provides some of the best university facilities in the UK, in an outstanding location.
Engineering at Swansea University has extensive IT facilities and provides extensive software licenses and packages to support teaching. In addition the University provides open access IT resources.
Our new WOLFSON Foundation funded Power Electronics and Power System (PEPS) laboratory well-appointed with the state-of the-art equipment supports student research projects.
Employment in growing renewable energy sector, power electronic and semiconductor sector, electric/hybrid vehicle industry.
The MSc Power Engineering and Sustainable Energy is for graduates who may want to extend their technical knowledge and for professional applicants be provided with fast-track career development. This MSc addresses the skills shortage within the power electronics for renewable energy sector.
BT, Siemens, Plessey, GE Lighting, Schlumberger, Cogsys, Morganite, Newbridge Networks, Alstom, City Technology, BNR Europe, Philips, SWALEC, DERA, BTG, X-Fab, ZETEX Diodes, IQE, IBM, TSMC, IR, Toyota, Hitachi.
As a student on the MSc Power Engineering and Sustainable Energy course, you will learn about numerical simulation techniques and have the opportunity to visit electronics industries with links to Swansea.
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.
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.
With recent academic appointments strengthening electronics research at the College, the Electronic Systems Design Centre (ESDC) has been re-launched to support these activities.
The Centre aims to represent all major electronics research within the College and to promote the Electrical and Electronics Engineering degree.
Best known for its research in ground-breaking Power IC technology, the key technology for more energy efficient electronics, the Centre is also a world leader in semiconductor device modelling, FEM and compact modelling.
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.
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 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
Advanced Fluid Mechanics
Finite Element Computational Analysis
Entrepreneurship for Engineers
Finite Element in Fluids
Nonlinear Continuum Mechanics
Computational Fluid Dynamics
Dynamics and Transient Analysis
Reservoir Modelling and Simulation
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.
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.
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.
“I gained immensely from the high quality coursework, extensive research support, confluence of cultures and unforgettable friendship.”
Prabhu Muthuganeisan, MSc Computational Mechanics
Details available on http://www.iupware.be/
The MSc in Water Resources Engineering addresses water-related issues in developed and developing countries. It is jointly organized by KU Leuven and the Vrije Universiteit Brussel (VUB). The general programme objective is to educate professionals and scientists through multidisciplinary and high-quality university education to contribute effectively to the development and management of local and global water resources. The programme trains students with cutting-edge technical and managerial knowledge and skills to
(i) successfully plan, design, operate and manage water resources projects; and (ii) advise and support authorities in decision-making and policy-making that enhance the safe exploitation and re-use of wastewater and the equitable distribution and conservation of local, regional, and global water resources.
A strong focus is put on the use of state-of-the-art numerical simulation tools for integrated water management.
The programme deals with the methods and techniques applied in the study of
- water needs for agriculture, industry, households, recreation, navigation, hydroelectric power generation - problems related to storm water drainage and flood damage mitigation - problems related to water quality in streams and aquifers, erosion, sedimentation, protection of ecosystems and other natural resources - integrated water management - institutional, socio-economic, and policy issues related to water resources development and management
A combination of theory and practice ensures that students are equipped with excellent knowledge for further research and exciting job opportunities across the world. Graduates of the programme are primarily employed as
(i) academics or scientists at universities and research institutions. Their major task is to strengthen the training and research capacity of those institutions in the field of water resources
(ii) engineers or managers in public administrations, water user associations or private companies.
Water resources engineers and scientists play a decisive role in the development and management of aquifers and river basins, and in deciding who does what, how much services cost, and who pays. They are the decision-makers and water managers of the future, who are capable of taking into account increased user demand and environmental needs, i.e. managing limited water resources in a sustainable and responsive way.
The master programme takes place in an intercultural and international environment. Students have the possibility to join excursions and field trips abroad and to carry out master thesis research in cooperation with our partner universities.
The full programme comprises 120 ECTS. Students with a relevant Master degree can apply for the 1-year abridged programme (60 ECTS) and will mainly follow second year courses.
The first year curriculum builds a common foundation and is the same for all students. In the second year students design a personal programme through the selection of three elective courses, an integrated project and their master thesis research. Courses are held both at KU Leuven and the VUB campus.
Year 1 (compulsory)
- Advanced Mathematics for Water Engineering - Statistics for Water Engineering - Hydraulics - Groundwater Hydrology - Surface Water Hydrology - Irrigation Agronomy - Aquatic Ecology - Waste Water Treatment and Resource Recovery - Water Quality - Integrated Water Management - GIS & Data Processing for Water Resources Engineering - Remote Sensing and Measuring Techniques for Water Resources Engineering
- Systems Approach to Water Management - Social, Political, Institutional, Economic and Environmental Aspects of Water Resources
Electives (three courses to be chosen)
- Surface Water Modelling - Groundwater Modelling - River Modelling - Soil Water Modelling - Irrigation Design and Crop Water Productivity Management - Urban Hydrology and Hydraulics - Environmental Programming - Freshwater and Marine Ecology
Integrated Project: Students work in groups on a particular watershed and travel to the case study area. They define problems and tackle them from different angles using modelling as well as nonmodelling tools
The Master of Science in Mathematical Engineering is unique in Flanders and is supported by high quality research that has led to several spin-off companies.
The ever increasing computer capacity for treatment of data, storage of measurements and data, and computing models, offers solutions to important challenges in business and society. Often mathematical techniques are crucial. A few examples:
At first sight, these applications have little in common. However, for each of those, large amounts of data and various models are available. Mathematical techniques are crucial for the efficient treatment of these data and for fast and accurate simulation and optimisation.
The programme consists of a technical core education on advanced topics on mathematics, process control, system identification, numerical optimisation, numerical simulation of differential equations, scientific software, and a project where students solve a problem that requires a combination of knowledge and skills taught at the core education.
The students freely choose among the many elective courses. They are stimulated to select courses from different tracks in order to obtain a broad overview of techniques and applications of mathematics in engineering science.
The elective courses include technical courses on mathematical techniques, as well as courses that are taught in other Master’s programmes that focus on modelling and the use of these mathematical techniques.
The Erasmus+ programme gives you the opportunity to gain valuable international experience by completing (usually) one semester at a participating European university. Student exchange agreements are also in place with a number of Japanese and American universitiesThis arrangement does not lengthen the duration of your degree programme, nor does it result in a separate degree.
It is also possible to complete an internship at a company abroad. Ask the internship coordinator for more information.
These studying abroad opportunities and internships are complemented by the short courses offered via the Board of European Students of Technology (BEST) network. The Faculty of Engineering Science is also member of the international networks CESAER, CLUSTER and T.I.M.E.
You can find more information on this topic on the website of the Faculty.
The programme is generally perceived positively by alumni.
There are many elective courses, which gives freedom to develop an individual study programme tuned to the student’s interest. This fact is often mentioned by students and alumni as one of the strong points of the programme.
Since September 2014, the EC (Educational Committee) can rely on the expertise of the Industrial Advisory Board.
The programme is organised by the departments of computer science and electrical engineering. The students can use the computer infrastructure of both departments. The students become familiar with different fields of research which broadens their view.
This is an initial Master's programme and can be followed on a full-time or part-time basis.
Many small, dynamic, young companies are active in the field of mathematical engineering. But even big players in materials, chemistry, automotive, aerospace, biomedical industries, as well as finance, are increasingly interested in mathematical engineering thanks to the ever increasing complexity of mathematical models and more stringent environmental standards and comfort expectations. Many of our young graduates start their careers in the R&D departments of high-tech companies or matriculate into one of the university’s PhD programmes.
There are no other courses that provide dedicated specialist training in crashworthiness and impact, resulting in many of our graduates securing employment or research offers before the course finishes. Established in 2003, this course is supported by close ties with industry, through student projects, specialist lectures and more importantly, by employing our graduates.
Designing advanced structures through novel, lightweight materials is one of the key enabling technologies for both aerospace and automotive sectors to align with national targets for reduction of carbon. In reducing inherent structural weight, it is essential not to compromise safety, as structural integrity and designing for crashworthiness become key design drivers.
Understanding how aluminium or composite structures and materials perform over their life cycles under static and dynamic loading, including crash and bird strike, requires expertise in a range of areas. As new simulation and material technologies emerge, there is a continuing need for talented employees with a strong, applied understanding in structural analysis, together with competent technical skills in numerical simulation.
Established in 2003, this course is supported by close ties with industry, through student projects, specialist lectures and more importantly, by employing our graduates.
The MSc in Advanced Lightweight Structures and Impact is directed by an Industrial Advisory Panel comprising senior engineers from aerospace sectors. This maintains course relevancy and ensures that graduates are equipped with the skills and knowledge required by leading employers.
Have you ever wanted to invent something mechanical, prevent environmental damage to a building from floods, fire, explosions, landslides and other natural disasters, understand risks and reliability across buildings, renewables, and other areas? Do you want to improve quality of life across environmental remediation, farming, smart grid, green technology, food production, housing, transportation, safety, security, healthcare and water? Do you find it fascinating to try to make things work from what you have available? There will be plenty of major challenges to get involved with in the coming years crossing over into Nano technologies, advanced materials, electronic printing, grapheme technologies, wearable's, 3d printing, renewables and recycling and biotechnologies. Technology now means that you can design and engineer from anywhere in the world, including your home. Advanced Mechanical Engineering looks at computational mechanics, response to materials and reliability engineering. The Victorians set up some of the most advanced mechanical engineering of our times and in many ways they were the biggest mechanical engineering innovators ever.
This programme specialises in mechanical engineering so you are becoming proficient in designing anything that has background moving parts to allow it to work such as engines, motor driven devices and the effects of nature on mechanical objects and their ability to perform. You also look at how material composition can alter performance issues and provide new innovative methods to solve challenges in every day life and natural and other risks to machinery in all situations. Your employment options are very varied, you may want to work within consumer goods to design and improve everyday objects like white goods, or you may like to be involved in very large scale hydro electric and power driving machinery in energy , manufacturing or large scale developments, or you may decide to get involved in innovation and enterprise yourself.
Find out more detail by visiting the programme web page
Find out about international fees:
Find out more about fees on the programme page
*Please be advised that some programmes also have additional costs.
Find out more about:
Find out more about living in Aberdeen and living costs
Other engineering disciplines you may be interested in:
The new Master in Engineering Physics of the Technical University of Barcelona- BarcelonaTech offers a one year intensive program in Engineering Physics. We cover topics of Physics at the forefront of new technologies ranging from the nanotechnology to the emerging field of quantum technologies. To this end, the Master includes advanced courses on Statistical and Quantum Physics, Physics and Engineering of large facilities such as the synchrotron, and pathways to the physics of complexity in different areas. The Master is addressed to an international audience and thus it is conducted in English.
At the beginning of the XXI century a new kind of engineering is emerging, as the Key Enabling Technologies of the European Union put forward recently. A new kind of professionals starts now to be needed for working in cutting-edge engineering. Our Master in Engineering Physics is intended to provide new generations with enough knowledge on Physics to capacitate them for working in wide areas, ranging from nanoengineering and nanoelectronics to quantum technologies.
Career prospects may include the following:
Generic competencies are the skills that graduates acquire regardless of the specific course or field of study. The generic competencies established by the UPC are capacity for innovation and entrepreneurship, sustainability and social commitment, knowledge of a foreign language (preferably English), teamwork and proper use of information resources.
Scientists and engineers are tackling ever more complex problems, most of which do not admit analytical solutions and must be solved numerically. Numerical methods can only play an even more important role in the future as we face even bigger challenges. Therefore, skilled scientific programmers are in high demand in industry and academia and will drive forward much of the future economy.
This programme aims to provide a rigorous formal training in computational science to produce highly computationally skilled scientists and engineers capable of applying numerical methods and critical evaluation of their results to their field of science or engineering. It brings together best practice in computing with cutting-edge science and provides a computing edge over traditional science, engineering and mathematics programmes.
Students undertake modules to the value of 180 credits.
The programme consists of six core modules (90 credits), two optional modules (30 credits) and a dissertation/report (60 credits).
A Postgraduate Diploma, six core modules (90 credits), two optional modules (30 credits), is also offered.
Options include a wide selection of modules across UCL Engineering and UCL Mathematical & Physical Sciences.
All students undertake an independent research project project which culminates in a dissertation of 20,000 words.
Teaching and learning
The programme is delivered through a combination of lectures and hands-on programming and includes a variety of short programming projects, delivered as part of the taught component. Students are encouraged to participate in scientific seminars, for example, weekly seminars at the UCL Centre for Inverse Problems. Assessment is through examinations, assignments, small projects and the dissertation, including a computer programme.
Further information on modules and degree structure is available on the department website: Scientific Computing MSc
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
We expect our graduates to take up exciting science and engineering roles in industry and academia with excellent prospects for professional development and steep career advancement opportunities. This degree enables students to work on cutting-edge real-life problems, overcome the challenges they pose and so contribute to advancing knowledge and technology in our society.
Students develop a comprehensive set of skills which are in high demand both in industry and academia: professional software development skills including state-of-the-art scripting and compiled languages; knowledge of techniques used in high-performance computing; understanding and an ability to apply a wide range of numerical methods and numerical optimisation; a deeper knowledge of their chosen science subject; oral and written presentational skills.
UCL has a global reputation for excellence in research and is committed to delivering impact and innovations that enhance the lives of people in the UK, across Europe and around the world. UCL is consistently placed in the global top 20 across a wide range of university rankings (currently 7th in QS World University Rankings 2018). Furthermore, the Thomson Scientific Citation Index shows that UCL is the second-most highly cited European university and 12th in the world.
Our wide-ranging expertise provides opportunities for groundbreaking interdisciplinary investigation. World-leading experts in the field and students benefit from a programme of distinguished visitors and guest speakers in many scientific seminars. In this way a network of collaborators, mentors and peers is created, which students can access in their future career.
This degree has been designed to balance a professional software development and high performance computing skills with a comprehensive selection of numerical mathematics and scientific subjects, culminating in a scientific computing dissertation project. The dual aspect of a science and computing degree enables students to tackle real-life problems in a structured and rigorous way and produce professional software for their efficient solution.
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.
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.
Modern programming methods
Modelling dynamical processes
Applying computational science
Patterns for parallel programming
Inversion and optimisation
Term 3 (summer)
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.
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: [email protected]
The Applied Computational Science and Engineering MSc is subject to College approval.