• University of Glasgow Featured Masters Courses
  • Swansea University Featured Masters Courses
  • Regent’s University London Featured Masters Courses
  • University of York Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • Leeds Beckett University Featured Masters Courses
  • University of Leeds Featured Masters Courses
University of Southampton Featured Masters Courses
Cass Business School Featured Masters Courses
Southampton Solent University Featured Masters Courses
Barcelona Executive Business School Featured Masters Courses
University of Leeds Featured Masters Courses
"modelling" AND "simulati…×
0 miles

Masters Degrees (Modelling And Simulation)

  • "modelling" AND "simulation" ×
  • clear all
Showing 1 to 15 of 298
Order by 
The course addresses the design, development, procurement, use and management of models and simulations for applications in experimentation, training, testing, analysis and assessment of military forces, systems and equipment. Read more

Course Description

The course addresses the design, development, procurement, use and management of models and simulations for applications in experimentation, training, testing, analysis and assessment of military forces, systems and equipment.

Overview

On successful completion of the course you will be familiar with the technologies, methodologies, principles and terminology of Modelling and Simulation as used across defence, including the challenges and issues as well as the benefits. Through use of facilities such as the Simulation and Synthetic Environment Laboratory (SSEL), with its wide range of specialist applications, students will gain a broad understanding of modelling and simulation in areas such as training, acquisition, decision-support, analysis and experimentation.

•10 places are normally available for the full-time cohort
•The course is suitable for both military and civilian personnel, including those from defence industry and government departments

Start date: Full-time: annually in September. Part-time: by arrangement

Duration: Full-time MSc - one year, Part-time MSc - up to three years, Full-time PgCert - one year, Part-time PgCert - two years, Full-time PgDip - one year, Part-time PgDip - two years

English Language Requirements

Students whose first language is not English must attain an IELTS score of 6.5.

Course overview

The modular form of the course, consisting of a compulsory core and a selection of standard and advanced modules, enables each student to select the course of study most appropriate to their particular requirements.

Standard modules normally comprise a week of teaching (or equivalent for distance learning) followed by a further week of directed study/coursework (or equivalent for part time and distance learning).

Advanced modules, which enable students to explore some areas in greater depth, are two week (or equivalent for part time and distance learning) individual mini-projects on an agreed topic in that subject, which includes a written report and oral presentation.

- MSc students must complete a taught phase consisting of eight standard modules, which includes two core modules (Foundations of Modelling and Simulation and Networked and Distributed Simulation), plus four advanced modules, followed by an individual thesis in a relevant topic. Thesis topics will be related to problems of specific interest to students and sponsors of local industry wherever possible.

- PgDip students are required to undertake the same taught phase as the MSc, but without the individual thesis.

- PgCert students must complete the core module (Foundations of Modelling and Simulation) together with five other modules; up to three of these may be advanced modules.

Modules

Part-time students will typically not study as a cohort, but will follow an agreed individual programme of study, attending courses as convenient.
Advanced Modules, which typically comprise individual self-study, can be selected to follow on from any standard modules that have been chosen.
Standard Modules, which typically involve traditional classroom instruction and/or VLE-based delivery, can be chosen from the following:

Core:
- Foundations of Modelling and Simulation
- Networked and Distributed Simulation

Elective:
- Advanced Computer Graphics
- Advanced Discrete and Continuous Simulation
- Advanced Logistics Modelling
- Advanced Modelling and Simulation
- Advanced War Gaming and Combat Modelling
- Computational Statistics
- Computer Graphics
- Discrete and Continuous Simulation
- High Performance and Parallel Computing
- Intelligent Systems
- Intelligent Systems - Research Study
- Logistics Modelling
- Networked and Distributed Simulation Exercise
- Neural Networks
- Programming and Software Development in C
- Statistical Analysis and Trials
- War Gaming and Combat Modelling
- Weapon System Performance Assessment

Individual Project

An individual research project on an agreed topic that allows you to demonstrate your technical expertise, independent learning abilities and critical appraisal skills.

Assessment

Continuous assessment, written examinations, oral vivas and (MSc only) thesis.

Proportions of different assessment types will vary according to programme and modules taken. For an MSc these might typically comprise 15-24% continuous assessment (written and oral), 36-45% written examinations and 40% thesis/dissertation.

Career opportunities

Equips you for simulation-specific appointments within the armed forces or government, or in the defence related activities of commercial organisations.

For further information

On this course, please visit our course webpage http://www.cranfield.ac.uk/Courses/Masters/Defence-Simulation-and-Modelling

Read less
Our MSc Model-based Drug Development course provides the knowledge and skills for making evidence-based decisions at various stages of drug development. Read more
Our MSc Model-based Drug Development course provides the knowledge and skills for making evidence-based decisions at various stages of drug development.

It covers the scientific and regulatory aspects of evaluating a drug, with emphasis on the use of modelling and simulation methods. You will learn why these methods are so highly valued by industry and regulatory authorities as effective, cost-saving, decision-making tools. Learning is reinforced via hands-on application of the skills to real data.

The course has been developed with an emphasis on mechanistic approaches to assessing and predicting pharmacokinetics and pharmacodynamics (PKPD), such as physiologically-based pharmacokinetics (PBPK).

As this comes under the general umbrella of systems biology, you will be able to apply your knowledge of modelling and simulation in various areas of research within the pharmaceutical industry.

Full-time students benefit from immersion in the varied biomedical research environment at The University of Manchester, including interaction with research staff at the renowned Centre for Applied Pharmacokinetic Research.

Alternatively, part-time students already working in the pharmaceutical industry can take advantage of the flexible, distance learning mode of the course, which allows you to fit study around other commitments.

Aims

The aim of the course is to provide specialist knowledge and skills that are highly relevant for a career linked to drug development and pharmaceutical industry.

It is designed for science, engineering or mathematics graduates who want to acquire:
-Awareness of the commercial and regulatory factors in drug development
-Understanding of the physiological, chemical, and mathematical foundations used to define the safe and effective use of potential medicines
-Training in the use of mathematical modelling and simulation methods to guide drug development

The course aims to:
-Provide background information on the theory and methods for quantitative assessment of drug absorption, distribution and elimination
-Provide an understanding of the role of pharmacometrics in the process of drug development
-Provide background information on in vitro assays used to characterise ADME properties of new drug entities
-Indicate the mathematical framework that is capable of integrating in vitro information with knowledge of the human body to predict pharmacokinetics
-Provide familiarity and experience of using different software platforms related to pharmacometric data analysis including R, Phoenix, NONMEM, MATLAB, Simcyp, WinBUGS and MONOLIX
-Equip you to reflect upon influential research publications in the field, to critically assess recent published literature in a specific area
-Provide awareness of the elements of a convincing research proposal based on modelling and simulation
-Provide the opportunity to undertake a project and carry out original research

Teaching and learning

The course emphasises the development of problem-solving skills. A large portion of the learning involves structured problems requiring the you to apply theory and practical skills to solve typical problems that arise in drug development.

The following teaching and learning methods are used throughout the course:
-Taught lectures
-Hands-on workshops
-Self-directed learning to solve given problems
-Webinars and tutorials by leading scientists in industry/academia
-Supervised research
-Mentorship in solving problems and writing the research dissertation
-Independent study

Career opportunities

This course was originally developed for scientists working within the pharmaceutical industry who wished to qualify as modellers with hands-on experience. The qualification will enhance your abilities within your current role or provide you with skills to progress into new posts.

The course is also appropriate for science and engineering graduates who wish to enter the industry. The role of modelling and simulation or pharmacometrics is assuming greater and greater importance in the pharmaceutical industry. Pharmaceutical companies and government regulatory agencies are recognising its value in making best use of laboratory and clinical data, guiding and expediting development, saving time and costs and a range of well paid jobs exist in this area across the globe. Scientific and industry publications often discuss the current shortage and growing need for modellers.

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

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

Key Features of MRes in Computer Modelling in Engineering

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

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

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

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

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

Modules

Modules on the Computer Modelling in Engineering programme typically include:

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

Accreditation

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

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

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

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

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

Links with Industry

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

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

Student Quotes

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

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

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

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

Careers

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

Research

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

World-leading research

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

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

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

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

Read less
The MSc Process Systems Engineering programme will widen your understanding of the fundamental concepts of process systems engineering. Read more
The MSc Process Systems Engineering programme will widen your understanding of the fundamental concepts of process systems engineering.

It will provide you with a thorough grounding in current technologies and trends that will prepare you will for a rewarding career and/or further research.

PROGRAMME OVERVIEW

This Masters programme trains graduates of engineering, science or related disciplines in general and specialist process systems engineering subjects.

Such areas are not generally covered in engineering and science curricula, and BSc graduates tend to be ill prepared for the systems challenges they will face in industry or academia on graduation.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year and part-time students must study at least two taught technical modules per academic year. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Optimisation and Decision-Making
-Process Modelling and Simulation
-Advanced Process Control
-Renewable Energy Technologies
-Refinery and Petrochemical Process
-Technology, Business & Research Seminars
-Process and Energy Integration
-Process Systems Design
-Supply Chain Management
-Knowledge-based Systems and Artificial Intelligence
-Biomass Processing Technology
-Introduction to Petroleum Production
-Process Safety and Operation Integrity
-Dissertation

FACILITIES, EQUIPMENT AND ACADEMIC SUPPORT

Modules related to the different groups are taught by a total of six full-time members of staff and a number of visiting lecturers.

As part of their learning experience, students have at their disposal a wide range of relevant software needed to support the programme material dissertation projects. In recent years, this work included the design of various knowledge-based and business systems on the internet, the application of optimisation algorithms, and semantic web applications.

Numerous laboratory facilities across the Faculty and the University are also available for those opting for technology-based projects, such as the process engineering facility, a control and robotics facility and signal processing labs.

The work related to the MSc dissertation can often be carried out in parallel with, and in support of, ongoing research. In the past, several graduates have carried on their MSc research to a PhD programme.

CAREER PROSPECTS

Engineers and scientists are increasingly expected to have skills in information systems engineering and decision-support systems alongside their main technical and/or scientific expertise.

Graduates of this programme will be well prepared to help technology-intensive organisations make important decisions in view of vast amounts of information by adopting, combining, implementing and executing the right technologies.

EDUCATIONAL AIMS OF THE PROGRAMME

The programme aims to provide a highly vocational education which is intellectually rigorous and up-to-date. It also aims to provide the students with the necessary skills required for a successful career in the process industries.

This is achieved through a balanced curriculum with a core of process systems engineering modules supplemented by a flexible element by way of elective modules that permit students to pursue an element of specialisation relevant to their backgrounds, interests and/or career aspirations.

An integrated approach is taken so as to provide a coherent view that explores the interrelationships between the various components of the programme. The programme draws on the stimulus of the Faculty’s research activities.

The programme provides the students with the basis for developing their own approach to learning and personal development.

PROGRAMME LEARNING OUTCOMES

Knowledge and understanding
-State-of- the-art knowledge in process systems engineering methods, in the areas of: modelling and simulation of process systems, mathematical optimization and decision making, process systems design, supply chain management, process and energy integration, and advanced process control technologies
-Advanced level of understanding in technical topics of preference, in one or more of the following aspects: renewable energy technologies, refinery and petrochemical processes, biomass processing technologies, and knowledge-based systems

Intellectual / cognitive skills
-Select, define and focus upon an issue at an appropriate level
-Collect and digest knowledge and information selectively and independently to support a particular scientific or engineering enquiry
-Develop and apply relevant and sound methodologies for analysing the issue, developing solutions, recommendations and logical conclusions, and for evaluating the results of own or other’s work

Professional practical skills
-Assess the available systems in the process industries
-Design and/or select appropriate system components, and optimise and evaluate system design
-Apply generic systems engineering methods such as modelling, simulation, and optimization to facilitate the assessment and development of advanced process technologies and systems

Key / transferable skills
-Preparation and delivery of communication and presentation
-Report and essay writing
-Use of general and professional computing tools
-Collaborative working with team members
-Organising and planning of work
-Research into new areas, particularly in the aspect of literature review and skills acquisition

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

Read less
With an increasing awareness of the environmental impact of modern manufacturing, graduates with the combined skills taught on this programme are highly sought after by both process and environmental industries. Read more
With an increasing awareness of the environmental impact of modern manufacturing, graduates with the combined skills taught on this programme are highly sought after by both process and environmental industries.

If you want to develop core skills in process systems engineering, yet focusing your attention on environmental systems approaches, this Masters is for you.

PROGRAMME OVERVIEW

This programme explores technology across a wide scope of engineering disciplines and will train you in general and specialist process systems engineering – crucial aspects for finance, industrial management and computer-integrated manufacturing.

There is a wide selection of modules on offer within the programme. All taught modules are delivered by qualified experts in the topics and academic members of University staff, assisted by specialist external lecturers.

Our programme combines high-quality education with substantial intellectual challenges, making you aware of current technologies and trends while providing a rigorous training in the fundamentals of the subject.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year and part-time students must study at least two taught technical modules per academic year. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Life Cycle Thinking
-Optimisation and Decision-Making
-Renewable Energy Technologies
-Process Modelling and Simulation
-Solar Energy Technology
-Advanced Process Control
-Technology, Business and Research Seminars
-Environmental Law
-Sustainable Development Applications
-Process and Energy Integration
-Process Systems Design
-Dissertation

EDUCATIONAL AIMS OF THE PROGRAMME

The programme combines advanced material in two popular and complementary topics: systems engineering and environmental engineering. The key learning outcome is a balanced combination of systems and environmental skills and prepares students in a competitive market where both topics appear attractive.

The programme will provide training in general and specialist process and environmental systems engineering subjects, and prepare the students for the systems challenges they will face in industry or academia upon graduation.

The programme disseminates technology with a wide scope among engineering disciplines, with a wide selection of modules on offer. All taught modules are delivered by qualified experts in the topics and academic members of the university staff, assisted by specialist external lecturers.

The programme provides high-quality education with substantial intellectual challenges, commensurate with the financial rewards and job satisfaction when venturing into the real world. A key component is to make the student aware of current technologies and trends, whilst providing a rigorous training in the fundamentals of the subject.

PROGRAMME LEARNING OUTCOMES

Knowledge and understanding
-State-of- the-art knowledge in process and environmental technologies, in the areas of: life cycle assessment and sustainable development, modelling and simulation of process systems, mathematical optimization and decision making, process systems design, and process and energy integration
-Advanced level of understanding in technical topics of preference, in one or more of the following aspects: general renewable energy technologies, and solar energy in particular; advanced process control

Intellectual / cognitive skills
-Select, define and focus upon an issue at an appropriate level
-Collect and digest knowledge and information selectively and independently to support a particular scientific or engineering enquiry
-Develop and apply relevant and sound methodologies for analysing the issue, developing solutions, recommendations and logical conclusions, and for evaluating the results of own or other’s work

Professional practical skills
-Assess the available systems in the process industries with focus on environmental challenges
-Design and/or select appropriate system components, and optimise and evaluate system design
-Apply generic systems engineering methods such as modelling, simulation, and optimization to facilitate the assessment and development of advanced process and environmental technologies and systems

Key / transferable skills
-Preparation and delivery of communication and presentation
-Report and essay writing
-Use of general and professional computing tools
-Collaborative working with team members
-Organising and planning of work
-Research into new areas, particularly in the aspect of literature review and skills acquisition

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

Read less
* Subject to validation, 2017 entry. Liverpool Hope’s MSc Computer Science is a research-informed, academically rigorous course and is designed to provide a flexible, purposeful and challenging set of coherent courses to meet scientific, industrial and employment challenges in this fast-evolving technological area. Read more
* Subject to validation, 2017 entry

Liverpool Hope’s MSc Computer Science is a research-informed, academically rigorous course and is designed to provide a flexible, purposeful and challenging set of coherent courses to meet scientific, industrial and employment challenges in this fast-evolving technological area. Graduates will have developed scientific and analytical skills which are highly valued in the computing, engineering, IT and business industries.

The course offers a mix of compulsory and elective courses, and a research dissertation, so you can focus your skill base and your potential career direction.

The course has been designed with employability in mind, whether it is within IT industry or as a function of other sectors, scientific computing and technical skills are in great demand and therefore highly valued. There are opportunities for placements and enterprise development.

Curriculum

The MSc Computer Science combines academic and practical course, consisting of eight taught courses (four compulsory and four elective) and a dissertation (final research project).

The Compulsory courses are:

· Computational Modelling and Simulation

· Algorithms

· Innovations in Computer Science

· Research Methods for Computer Science

· Dissertation for MSc Computer Science

Elective courses include:

· Embedded Systems and Robotics

· Cloud Computing and Web Services

· Mobile and Ubiquitous Computing

· Human Computer Interaction

· E-Business

Course Descriptions

· Computational Modelling and Simulation (compulsory – 15 credits): This course develops understanding and knowledge of the principles, techniques and design of computational modelling and their applications.

· Algorithms (compulsory - 15 credits): This course gives a firm grounding in the philosophy and evolution of algorithmic design and analysis for computer science, engineering and information systems.

· Innovations in Computer Science (compulsory - 15 credits): You will examine the particular research interests of Computer Science Department.

· Research Methods for Computer Science (compulsory - 15 credits): The course will expose you to the established techniques of research and enquiry that are used to extend, create and interpret knowledge in computer science

· Embedded Systems and Robotics (elective - 15 credits): This course will examine the Robotics Operating System and robotic programming languages, such as Urbi.

· Cloud Computing and Web Services (elective - 15 credits): You will study the concepts behind the idea of cloud computing and web services and gain practical knowledge of Azure, the .Net framework and C#.

· Mobile and Ubiquitous Computing (elective - 15 credits): You will examine mobile phone OSs (Android) and Windows Phone 7. You will learn how to develop software for these devices using JavaFX and C#/Silverlight.

· Human Computer Interaction (elective - 15 credits): Human computer interaction (HCI) is the study of interaction between people and computers and is the most multi-disciplinary module available in the MSc Computer Science.

·
* E-Business (elective - 15 credits): E-business encompasses, and is more than, e-commerce. You will examine e-commerce technology, such as the internet and web-based technologies.

· Dissertation for MSc Computer Science (compulsory - 60 credits): This module will allow the students to develop a Masters level research project with the support of an academic supervisor.

Read less
Created in response to the worldwide shortage of qualified engineers in the petroleum-refining systems-engineering industry, our programme combines technologies, operations and economics with modelling, simulation, optimisation, and process design and integration. Read more
Created in response to the worldwide shortage of qualified engineers in the petroleum-refining systems-engineering industry, our programme combines technologies, operations and economics with modelling, simulation, optimisation, and process design and integration.

PROGRAMME OVERVIEW

This programme will equip you with the essential knowledge for engineering careers in the oil, gas and petrochemical sectors.

Upon completion of the course you will have gained a comprehensive understanding of oil refining and associated downstream processing technologies, operations and economics; process safety and operations integrity; and methods for the optimal design of process systems.

You will learn about the general economics of the energy sector, oil exploration and production, as well as renewable energy systems.

Furthermore, your study of the various aspects of petroleum refining will be augmented by unique work assignments at a virtual oil-refining and chemical company.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year and part-time students must study at least two taught technical modules per academic year. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Optimisation and Decision-Making
-Process Modelling and Simulation
-Refinery and Petrochemical Process
-Renewable Energy Technologies
-Solar Energy Technology
-Advanced Process Control
-Technology, Business & Research Seminars
-Energy Economics and Technology
-Process and Energy Integration
-Process Systems Design
-Process Safety and Operation Integrity
-Knowledge-based Systems and Artificial Intelligence
-Supply Chain Management
-Biomass Processing Technology
-Introduction to Petroleum Production
-Wind Energy Technology
-Economics of International Oil & Gas
-Dissertation

EDUCATIONAL AIMS OF THE PROGRAMME

The programme aims to provide a highly vocational education that equips the students with the essential knowledge and skills required to work as competent engineers in the petrochemical sector.

This is to be achieved through combining proper material in two popular and complementary topics: process systems engineering and petroleum refining. The key objective is to develop a sound understanding of oil refining and downstream processing technologies, process safety and operation integrity, as well as systems methods for the optimal design of process systems.

A balanced curriculum is provided with essential modules from these two areas supplemented by a flexible element by way of elective modules that permit students to pursue subjects of preference relevant to their backgrounds, interests and/or career aspirations.

An integrated approach is taken so as to provide a coherent view that explores the interrelationships between the various components of the programme.

PROGRAMME LEARNING OUTCOMES

Knowledge and understanding
-State-of- the-art knowledge in petroleum refining and petrochemical processing, in terms of the technologies of processes that comprise a modern refinery and petrochemicals complex
-The principles for analysing and improving the profitability of refining and petrochemicals processing
-General Safety, health, and environment (SHE) principles on a refinery and petrochemicals complex
-Methods and systems for ensuring safe and reliable design and operation of process units
-State-of- the-art knowledge in process systems engineering methods, in the areas of: modelling and simulation of process systems, mathematical optimization and decision making, process systems design and process and energy integration
-Advanced level of understanding in technical topics of preference, in one or more of the following aspects: petroleum exploration and production, economics of the energy sector, sustainable and renewable systems, supply chain management

Intellectual / cognitive skills
-The programme aims to strengthen cognitive skills of the students, particularly in the aspects of problem definition, knowledge and information acquiring, synthesis, and creativity, as collectively demonstrable through the successful completion of the research dissertation.
-Select, define and focus upon an issue at an appropriate level
-Collect and digest knowledge and information selectively and independently to support a particular scientific or engineering enquiry
-Develop and apply relevant and sound methodologies for analysing the issue, developing solutions, recommendations and logical conclusions, and for evaluating the results of own or other’s work

Professional practical skills
-Apply knowledge of the operation of refineries to analyze and to improve the profitability of refining and petrochemical processing
-Apply relevant principles, methods, and tools to improve the safety and operation integrity of refineries
-Apply systems engineering methods such as modelling, simulation, optimization, and energy integration to improve the design of petroleum refining units and systems

Key / transferable skills
-The programme aims to strengthen a range of transferable skills that are relevant to the needs of existing and future professionals in knowledge intensive industries irrespective of their sector of operation.
-Preparation and delivery of communication and presentation
-Report and essay writing
-Use of general and professional computing tools
-Collaborative working with team members
-Organizing and planning of work
-Research into new areas, particularly in the aspect of literature review and skills acquisition

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

Read less
This programme is idea for graduates from engineering, science or other relevant backgrounds and who have an interest in pursuing a successful career in research, technological change and the commercialisation of renewable-energy systems. Read more
This programme is idea for graduates from engineering, science or other relevant backgrounds and who have an interest in pursuing a successful career in research, technological change and the commercialisation of renewable-energy systems.

This programme will give you opportunities to learn about major renewable-energy technologies, energy-sector economics, supply-chain management and sustainable development.

PROGRAMME OVERVIEW

Created in the context of the rapid advancement of the renewable-energy industry, this Masters programme investigates both renewable energy and systems technologies.

It is designed to build your competence and confidence in the R&D and engineering tasks that are demanded of scientific engineers in the renewable and sustainable-development sector.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year and part-time students must study at least two taught technical modules per academic year. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Optimisation and Decision-Making
-Process Modelling and Simulation
-Technology, Business & Research Seminars
-Renewable Energy Technologies
-Refinery and Petrochemical Process
-Solar Energy Technology
-Advanced Process Control
-Energy Economics and Technology
-Process Systems Design
-Biomass Processing Technology
-Wind Energy Technology
-Process and Energy Integration
-Knowledge-based Systems and Artificial Intelligence
-Supply Chain Management
-Introduction to Petroleum Production
-Process Safety and Operation Integrity
-Economics of International Oil & Gas
-Dissertation

FACILITIES, EQUIPMENT AND ACADEMIC SUPPORT

Modules related to the different groups are taught by a total of six full-time members of staff and a number of visiting lecturers.

As part of their learning experience, students have at their disposal a wide range of relevant software needed to support the programme material dissertation projects. In recent years, this work included the design of various knowledge-based and business systems on the internet, the application of optimisation algorithms, and semantic web applications.

Numerous laboratory facilities across the Faculty and the University are also available for those opting for technology-based projects, such as the process engineering facility, a control and robotics facility and signal processing labs.

The work related to the MSc dissertation can often be carried out in parallel with, and in support of, ongoing research. In the past, several graduates have carried on their MSc research to a PhD programme.

CAREER PROSPECTS

Engineers and scientists are increasingly expected to have skills in information systems engineering and decision-support systems alongside their main technical and/or scientific expertise.

Graduates of this programme will be well prepared to help technology-intensive organisations make important decisions in view of vast amounts of information by adopting, combining, implementing and executing the right technologies.

EDUCATIONAL AIMS OF THE PROGRAMME

This programme investigates both renewable energy and systems technologies in order to produce scientific researchers and engineers who are competent in the R&D and engineering tasks applicable to the renewable energy and sustainable development sectors.

Its primary aims lie in developing a global understanding of the major types of renewable energy technologies, in-depth knowledge of the technology for biomass-based renewable energy, and knowledge and skills in systems modelling and optimisation.

A balanced curriculum will be provided with a core of renewable energy and systems engineering modules supplemented by a flexible element by way of elective modules that permit students to pursue an element of specialisation relevant to their backgrounds, interests and/or career aspirations.

An integrated approach is taken so as to provide a coherent view that explores the interrelationships between the various components of the programme.

PROGRAMME LEARNING OUTCOMES

Knowledge and understanding
-State-of- the-art knowledge in renewable energy technologies, in terms of: the sources, technologies, systems, performance, and applications of all the major types of renewable energy; approaches to the assessment of renewable energy technologies; the processes, equipment, products, and integration opportunities of biomass-based manufacturing
-State-of- the-art knowledge in process systems engineering methods, in the areas of: modelling and simulation of process systems; mathematical optimization and decision making; process systems design
-Advanced level of understanding in technical topics of preference, in one or more of the following aspects: process and energy integration, economics of the energy sector, sustainable development, supply chain management

Intellectual / cognitive skills
-Select, define and focus upon an issue at an appropriate level
-Collect and digest knowledge and information selectively and independently to support a particular scientific or engineering enquiry
-Develop and apply relevant and sound methodologies for analysing the issue, developing solutions, recommendations and logical conclusions, and for evaluating the results of own or other’s work

Professional practical skills
-Assess the available renewable energy systems
-Design and select appropriate collection and storage, and optimise and evaluate system design
-Apply generic systems engineering methods such as modelling, simulation, and optimization to facilitate the assessment and development of renewable energy technologies and systems

Key / transferable skills
-Preparation and delivery of communication and presentation
-Report and essay writing
-Use of general and professional computing tools
-Collaborative working with team members
-Organizing and planning of work
-Research into new areas, particularly in the aspect of literature review and skills acquisition

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

Read less
Degree. Master of Science (two years) with a major in Biomedical Engineering. Teaching language. English. Read more
Degree: Master of Science (two years) with a major in Biomedical Engineering
Teaching language: English

Biomedical Engineering encompasses fundamental concepts in engineering, biology and medicine to develop innovative approaches and new devices, materials, implants, algorithms, processes and systems for the medical industry. These could be used for the assessment and evaluation of technology; for prevention, diagnosis, and treatment of diseases; for patient care and rehabilitation and for improving medical practice and health care delivery.

The first year of the Biomedical Engineering programme is focused on mandatory courses expanding students’ engineering skills and knowledge in areas like anatomy and physiology but also biology and biochemistry. Courses in mathematics, statistics, multidimensional biomedical signal generation and analysis, combined with medical informatics and biomedical modelling and simulation, create a solid foundation for the continuation of the programme.

In the second year, three areas of specialisation, medical informatics, medical imaging and bioengineering, are introduced. Coinciding with the specialisation, a course in philosophy of science is mandatory, preparing and supporting the onset of the degree project.
A graduate of the Biomedical Engineering programme should be able to:

• formulate and solve engineering problems in the biomedical domain, encompassing the design of devices, algorithms, systems, and processes to improve human health and integrating a thorough understanding of the life sciences.
• use, propose and evaluate engineering tools and approaches.
• identify and manage the particular problems related to the acquisition, processing and interpretation of biomedical signals and images.
• integrate engineering and life science knowledge, using modelling and simulation techniques.
• communicate engineering problems in the life science domain.

The Biomedical Engineering curriculum supports and sustains "Engineering for Health" through a relevant mixture of mandatory and elective courses. This enables both broad-based and in-depth studies, which emphasises the importance of multidisciplinary and collaborative approaches to real-world engineering problems in biology and medicine.

Welcome to the Institute of Technology at Linköping University

Read less
This programme delivers a thorough grounding in current technologies and trends, offering comprehensive training in the fundamentals of the subject. Read more
This programme delivers a thorough grounding in current technologies and trends, offering comprehensive training in the fundamentals of the subject.

It combines high-quality education with rigorous intellectual challenges, enabling you to understand the principles of knowledge management, decision-making and design in process systems and business-information technologies.

PROGRAMME OVERVIEW

The MSc Information and Process Systems Engineering programme is aimed at graduates of traditional engineering, science and related disciplines.

Graduates from non-IT or related disciplines tend to be ill-prepared for the information and knowledge-related challenges and demands of today’s business environments.

We offer a wide selection of modules spanning process engineering, information systems, business and management. All taught modules are delivered by qualified experts in the topics and academic staff, assisted by specialist external lecturers.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year. Part-time students must study at least two taught technical modules per academic year. The programme consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Information Security Management
-Optimisation and Decision-Making
-Process Modelling and Simulation
-Technology, Business and Research Seminars
-Database Systems
-Knowledge-Based Systems and Artificial Intelligence
-Process and Energy Integration
-Process Systems Design
-Supply Chain Management
-Biomass Processing Technology
-Process Safety and Operation Integrity
-Process and Energy Integration
-Transition to a Low Carbon Economy
-Dissertation

FACILITIES, EQUIPMENT AND ACADEMIC SUPPORT

Modules related to the different groups are taught by a total of six full-time members of staff and a number of visiting lecturers.

An extensive library is available for individual study. It stocks more than 85,000 printed books and e-books, and more than 1,400 (1,100 online) journal titles, all in the broad area of engineering. The library support can be extended further through inter-library loans.

As part of their learning experience, students have at their disposal a wide range of relevant software needed to support the programme material dissertation projects.

In recent years, this work included the design of various knowledge-based and business systems on the internet, the application of optimisation algorithms, and semantic web applications, as well as modelling of process systems.

Numerous laboratory facilities across the Faculty and the University are also available for those opting for technology-based projects, such as the process engineering facility, a control and robotics facility and signal processing labs.

The work related to the MSc dissertation can often be carried out in parallel with, and in support of, on-going research. In the past, several graduates have carried on their MSc research to a PhD programme.

RESEARCH

Process integration and systems analysis for sustainability of resources and energy efficiency are carried out within our well-established Centre for Process and Information Systems Engineering (PRISE).

CAREER PROSPECTS

Engineers and scientists are increasingly expected to have skills in information systems engineering and decision support systems alongside their main technical and/or scientific expertise.

Graduates of these programmes will be well prepared to help technology-intensive organisations make important decisions in respect of vast amounts of information, by adopting, combining, implementing and executing the right technologies.

EDUCATIONAL AIMS OF THE PROGRAMME

The primary aims are achieved through a balanced, multi-disciplinary curriculum with a core of information systems engineering modules and decision-making and process systems engineering modules as well as a flexible element by way of elective modules that permit students to pursue an element of specialisation relevant to their backgrounds, interests and/or career aspirations.

An integrated approach is taken so as to provide a coherent view that explores the interrelationships between the various components of the programme.

The programme draws on the stimulus of recent research activities in the Faculty of Engineering and Physical Sciences. The programme provides the students with the basis for developing their own approach to learning and personal development.

PROGRAMME LEARNING OUTCOMES

The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:

Knowledge and understanding
-The sources, technologies, systems, performance, and applications in information and process engineering
-Approaches to the assessment of information and process technologies
-Decision making in complex systems
-Optimisation and operations research
-Technical systems modelling
-Databases and data protection
-Representation of design processes
-Systematic approaches to observing organisational data security processes
-Understanding research issues
-Literature studies and research planning
-Experimental planning
-Communication of research outcomes
-Design of decision-support systems
-Development of databases, ontologies and agent-based architectures
-Information technology and security
-Process modelling and simulation

Intellectual / cognitive skills
-Select, define and focus upon an issue at an appropriate level
-Collect and digest knowledge and information selectively and independently to support a particular scientific or engineering enquiry
-Develop and apply relevant and sound methodologies for analysing the issue, developing solutions, recommendations and logical conclusions, and for evaluating the results of own or other’s work

Professional practical skills
-Assess the available information and process and their interaction
-Design and select appropriate collection and storage, and optimise and evaluate system design
-Apply generic systems engineering methods such as conceptual design and optimization to facilitate the assessment and development of information, information security and process technologies and systems

Key / transferable skills
-Preparation and delivery of communication and presentation
-Report and essay writing
-Use of general and professional computing tools
-Collaborative working with team members
-Organizing and planning of work
-Research into new areas, particularly in the aspect of literature review and skills acquisition

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

Read less
This course will appeal to you if you wish to develop the versatility and depth of knowledge to deal with new and unusual challenges across a wide range of disciplines within engineering and beyond. Read more
This course will appeal to you if you wish to develop the versatility and depth of knowledge to deal with new and unusual challenges across a wide range of disciplines within engineering and beyond. The programme consists of five core modules including essential advanced level aspects of solid and fluid mechanics, precision engineering, modelling and simulation.

You can tailor the course to your interests through your individual project and by choosing three optional modules drawing in subjects such as biomechanics, heat transfer, renewable energy, energy storage technologies, mathematical and computational modelling, or further advanced fluid dynamics. Along the way you’ll develop skills in the understanding and modelling of a range of complex systems.

You’ll be based within a forward-thinking learning environment addressing industry focused research activities. Our activities include: automotive systems; biomedical engineering; solid and fluid mechanics; electrical and thermal energy systems, energy conversion and storage, and sustainable cities.

Recent graduates are now working in senior technical engineering, academic research, global consultancy, management positions, and roles in business, finance and accountancy.

Course structure

The MSc degree (totalling 180 credits) comprises:
-Eight taught modules (15 credits each)
-A research project (60 credits)

The five core modules of the course focus on essential advanced level aspects of solid and fluid mechanics, precision engineering, modelling and simulation. These topics develop skills in understanding and modelling a range of complex systems, developing the theories of interaction and representing these with mathematical formulae. Solution of these models is covered through analytical solution, writing computer code and using proprietary (industry standard) software. These skills are useful in all areas of mechanical engineering and are associated with the application of computers in engineering practice.

Three optional modules allow a focused study of topics directed towards the students’ own interests and provide students with a knowledge and understanding of the ‘state-of-the-art’ in one or more of the many areas of mechanical engineering in which the School has acknowledged expertise. The optional modules are run in subject areas for which Warwick has a very strong research background and are led by academics who are experts in the field.

Projects can be chosen in any available subject area. The project allows students to specialise further in their chosen field of interest, gaining substantial expertise in one particular area. Although the School offers a broad range of project topics, the individual project is usually associated with current research activity or industrial consultancy. Students therefore benefit from working at the cutting edge of their chosen field, doing work that is of direct relevance to society or industry.

Read less
Our highly sought-after graduates benefit from a programme that integrates training in identifying, framing and effectively researching social problems with a leading computational approach to social science. Read more
Our highly sought-after graduates benefit from a programme that integrates training in identifying, framing and effectively researching social problems with a leading computational approach to social science.

Furthermore, we are home to the Centre for Research in Social Simulation (CRESS) and its world-leading expertise in agent-based modelling.

PROGRAMME OVERVIEW

Interest in simulation has grown rapidly in the social sciences. New methods have been developed to tackle this complexity. This programme will integrate traditional and new methods, to model complexity, evolution and the adaptation of social systems.

These new methods are having an increasing influence on policy research through a growing recognition that many social problems are insufficiently served by traditional policy modelling approaches.

The Masters in Social Science and Complexity will equip you to develop expertise in the methods necessary to tackle complex, policy-relevant, real-world social problems through a combination of traditional and computational social science methods, and with a particular focus on policy relevance.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year and part-time over two academic years. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Data Analysis
-Field Methods
-Computational Modelling
-Theory Model Data
-Modelling the Complex World
-Policy Modelling
-Theory and Method
-Statistical Modelling
-Evaluation Research
-Dissertation

EDUCATIONAL AIMS OF THE PROGRAMME

The main aims of the programme are to:
-Provide an appropriate training for students preparing MPhil/PhD theses, or for 
 students going on to employment involving the use of social science and policy research
-Provide training that fully integrates social science, policy modelling and computational methodologies to a high standard
-Provide training resulting in students with high quality analytic, methodological, computational and communication skills

PROGRAMME LEARNING OUTCOMES
The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:
-Develop skills in tackling real world policy problems with creativity and sound methodological judgment
-Cover the principles of research design and strategy, including formulating research 
questions or hypotheses and translating these into practicable research designs and models
-Introduce students to the methodological and epistemological issues surrounding research in the social sciences in general and computational modelling in particular
-Develop skills in programming in NetLogo for the implementation of agent-based models for the modelling of social phenomena
-Develop skills in the acquisition and analysis of social science data
-Make students aware of the range of secondary data available and equip them to evaluate its utility for their research
-Develop skills in searching for and retrieving information, using library and Internet resources
-Develop skills in the use of SPSS, and in the main statistical techniques of data analysis, including multivariate analysis
-Develop skills in the use of CAQDAS software for the analysis of qualitative data
-Develop skills in writing, in the preparation of a research proposal, in the presentation ofresearch results and in verbal communication
-Help students to prepare their research results for wider dissemination, in the form of seminar papers, conference presentations, reports and publications, in a form suitable for a range of audiences, including academics, stakeholders, policy makers, professionals, service users and the general public

Knowledge and understanding
-Show advanced knowledge of qualitative, quantitative and computational methodologies in the social science
-Show advanced knowledge of modelling methodologies, model construction and analysis
-Show critical understanding of methodological and epistemological challenges of social science and computer modelling
-Show critical awareness and understanding of the methodological implications of a range of sociological theories and approaches
-Show understanding the use and value of a wide range of different research approaches across the quantitative and qualitative spectra
-Show advanced knowledge in data collection, analysis and data driven modelling
-Show advanced knowledge of policy relevant social science research and modelling
-Show advanced understanding of the policy process and the role of social science and modelling therein
-Show advanced knowledge of statistical modelling

Intellectual / cognitive skills
-Systematically formulate researchable problems; analyse and conceptualise issues; critically appreciate alternative approaches to research; report to a range of audiences
-Conceptual development of Social Science and Complexity models to creatively enhance the understanding of social phenomena
-Integration of qualitative, quantitative and computational data
-Judgement of problem-methodology match
-Analyse qualitative and quantitative data drawn both from ‘real world’ and ‘virtual world’ environments, using basic and more advanced techniques, and draw warranted conclusions
-Develop original insights, questions, analyses and interpretations in respect of research questions
-Critically evaluate the range of approaches to research

Professional practical skills
-Formulate, design, plan, carry out and report on a complete research project
-Use the range of traditional and computational techniques employed in sociological research
-Ability to produce well founded, data driven and validated computational models
-Generate both quantitative and qualitative data through an array of techniques, and select techniques of data generation on appropriate methodological bases
-Employ a quantitative (SPSS) and qualitative software package to manage and analyse data
-Plan, manage and execute research as part of a team and as a sole researcher
-Ability to communicate research findings models in social science and policy relevant ways
-Ability to manage independent research

Key / transferable skills
-Communicate complex ideas, principles and theories by oral, written and visual means
-Apply computational modelling methodology to complex social issues in appropriate ways
-Creativity in approaching complex problems and a the ability of communicating and justifying problem solutions
-Apply computing skills for computational modelling, research instrument design, data analysis, and report writing and presentation
-Work to deadlines and within work schedules
-Work independently or as part of a team
-Demonstrate experience of a work environment

PLACEMENTS

On the MSc Social Science and Complexity, we offer the opportunity to take a research placement during the Easter vacation. This will provide you with first-hand experience of real-life policy research in action.

Organisations in which placements might be possible are a number of consultancies (e.g. Sandtable), government departments (e.g. Defra) and academic research centres (e.g. Centre for Policy Modelling at Manchester).

CAREER OPPORTUNITIES

Computational methods and especially computer-based simulations, are becoming increasingly important in academic social science and policy making.

Graduates might find career opportunities in government departments, consultancies, government departments, consultancies, NGOs and academia.

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

Read less
The programme consists of a wide range of modules and three research projects and aims to develop deeper insights into non-equilibrium processes using theoretical modelling, simulation and data-driven analysis. Read more
The programme consists of a wide range of modules and three research projects and aims to develop deeper insights into non-equilibrium processes using theoretical modelling, simulation and data-driven analysis. Leads to PhD study or careers in teaching, industrial research or the financial sector.

Key benefits

- An intensive course covering a wide range of basic and advanced topics on Non-Equilibrium Systems.

- Taught by experts in the field.

- A full twelve-month course with three research methods modules to give a real introduction to research.

- Intimate class environment with small class sizes (typically fewer than twenty students on a module) allowing good student lecturer interactions.

- Unrivalled location at the centre of London.

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/non-equilibrium-systems-theoretical-modelling-simulation-and-data-driven-analysis-msc.aspx

Course detail

- Description -

The ultimate goal of the programme is to address interdisciplinary challenges e.g. How do we characterize, design and grow materials, and devices, with novel properties out of equilibrium? How do we control and exploit the stochastic processes inherent to biological systems? Can we use inference and information assimilation approaches from physics and biology to monitor and evaluate the state and direction of non-equilibrium environmental systems?

The programme consists of a wide range of taught modules and 3 research methods modules in the rapidly developing and exciting interdisciplinary field of Non-Equilibrium Systems. It covers scientific areas ranging from mathematics, physics, informatics and chemistry to biomedical and environmental sciences.

- Course purpose -

For graduates with excellent undergraduate or equivalent qualifications in any relevant discipline (including; mathematics, physics, chemistry, engineering, materials science, biophysics, geophysical sciences and computer science) who want to work in research and development in an academic or industrial environment. The programme aim is to develop deeper insights into non-equilibrium processes using theoretical modelling, simulation and data-driven analysis and prepare students ideally for active research.

- Course format and assessment -

The format and assessment of the MSc programme is primarily written examinations, some with coursework element, in six lecture modules, plus oral presentations and assessed report on three research modules.

How to apply: http://www.kcl.ac.uk/study/postgraduate/apply/taught-courses.aspx

About Postgraduate Study at King’s College London:

To study for a postgraduate degree at King’s College London is to study at the city’s most central university and at one of the top 20 universities worldwide (2015/16 QS World Rankings). Graduates will benefit from close connections with the UK’s professional, political, legal, commercial, scientific and cultural life, while the excellent reputation of our MA and MRes programmes ensures our postgraduate alumni are highly sought after by some of the world’s most prestigious employers. We provide graduates with skills that are highly valued in business, government, academia and the professions.

Scholarships & Funding:

All current PGT offer-holders and new PGT applicants are welcome to apply for the scholarships. For more information and to learn how to apply visit: http://www.kcl.ac.uk/study/pg/funding/sources

Free language tuition with the Modern Language Centre:

If you are studying for any postgraduate taught degree at King’s you can take a module from a choice of over 25 languages without any additional cost. Visit: http://www.kcl.ac.uk/mlc

Read less
This programme is aimed at anyone interested in learning more about the design and operation of low energy buildings with the added attraction of three modules dedicated to computer modelling of building performance – an essential skill for anyone wishing to work in today’s rapidly changing world of building engineering consultancy. Read more
This programme is aimed at anyone interested in learning more about the design and operation of low energy buildings with the added attraction of three modules dedicated to computer modelling of building performance – an essential skill for anyone wishing to work in today’s rapidly changing world of building engineering consultancy.

Modules are taught by world-leading experts in the field who have designed some of the world’s most innovative low energy buildings. These design experiences provide unique case study material which students find exciting and invaluable for their own research and design work.

The programme is accredited for further learning for CEng and professional membership by CIBSE and the Energy Institute and benefits from its links with the Royal Academy of Engineering Centre of Excellence in Sustainable Building Design.

The course attracts students from all over the world, including countries such as Greece, Iran, China, France, Germany and Colombia. This is attractive to potential employers who often have international offices around the world.

Key Facts

- An outstanding place to study. The School of Civil and Building Engineering is ranked 2nd in the UK for Building in the Times Good University Guide 2015

- Research-led teaching from international experts. 75% of the School’s research was rated as world-leading or internationally excellent in the latest Government Research Excellence Framework.

- The programme is accredited by the two main institutions representing energy and buildings – the Chartered Institution of Building Services Engineers and the Energy Institute. On successful completion of the course, students are deemed to meet the education requirements for both institutions and their applications can be endorsed by course tutors.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/civil/low-carbon-building-design/

Programme modules

- Building Energy Consumption [70% exam, 10 credits]
The aim of this module is for the student to understand the impact that climate, people, equipment selection and design have on energy consumption on a range of building sizes from domestic to large commercial.

- Renewable Energy and Low Carbon Technologies [70% exam, 15 credits]
The aims of this module are for the student to understand the principles of renewable energy and low carbon technologies and their integration into buildings, and to be given a perspective on the potential benefits and applications of these technologies.

- Building Control & Commissioning [70% exam, 10 credits]
The aims of this module are for the student to understand the application of automatic control in energy monitoring and commissioning and to examine the control problems in buildings and develop control strategies that will improve thermal comfort and building energy use.

- Concept Design [0% exam, 15 credits]
The aims of this module are for the student to be introduced to the process within which buildings are conceived and designed by undertaking the architecture design of a major building using multi-disciplinary input. Students will develop team skills through working in design groups to generate schematic concepts before developing the best. They will apply previous knowledge of building services and low carbon design in the selection process and carry out performance analysis. Students will work with 3D architectural and 3D mechanical, electrical and plumbing (MEP) systems within BIM software to further develop their concepts.

- Low Carbon Building Design [50% exam, 15 credits]
The module aims to introduce the principles of low and zero carbon building with special attention to the process of design and decision-making.

- Advanced Thermal Modelling [50% exam, 15 credits]
The aims of this module are for the student to understand the principles of building thermal modelling and HVAC plant simulation, and be given a perspective on the applications of these techniques to the design process.

- Advanced Airflow Modelling [50% exam, 15 credits]
The aims of this module are for the student to understand the principles of building airflow and ventilation modelling with respect to comfort and energy efficiency, and be given a perspective on the applications of these techniques to the design process.

- Advanced Lighting Modelling [50% exam, 15 credits]
The aims of this module are for the student to understand the principles of lighting modelling in buildings with respect to comfort and energy efficiency, and be given a perspective on the application of these techniques to the design process.

- Research Project [0% exam, 60 credits]
The aim of this module is to provide the student with experience of the process and methodology of research by defining and studying (on an individual basis) a complex problem in a specialised area relating to Building Energy

- Research Methods in Building Performance [0% exam, 10 credits]
The aims of this module are for the student to become familiar with and comprehend the wide range of research methods and skills needed to investigate, understand and communicate building performance.

Facilities

All masters students have access to a wide range of building simulation codes which include commercial software, as well as bespoke codes developed in-house. Students can run these codes on their personal laptops or access any one of our computer laboratories, including access to our recently commissioned 2000-node high performance computer cluster.

One of our key strengths at Loughborough is our experimental facilities which enable us to validate computer models. Our masters students have access to a vast range of experimental facilities, some of which are used during the taught modules and all of which are available for use by students during their research dissertations.

These include: a fully controllable environmental chamber; sophisticated thermal and breathing manikins; an indoor solar simulator; a 'darkroom' facility to carry out optical and high dynamic range measurements; and full-scale houses for pressure testing and studying innovative heating and control strategies. A recent investment of £360k was made to purchase an extensive array of monitoring and measuring equipment for use during field studies.

How you will learn

You will learn through a carefully balanced combination of lectures, in-class guided workshops, hands-on computer modelling, field measurements and independent research. Students have access to a wide range of air flow, thermal and daylight modelling software as well as extensive laboratory facilities. Following nine taught modules, students pursue a research dissertation of their choice which draws on the skills developed during the taught modules.

Students are assessed by a combination of traditional written exams, coursework and assignments. This split is typically 70/30 (exam/coursework) or 50/50, although some modules, such as research methods and concept design are assessed entirely based on coursework which comprises individual presentations and group work.

Careers and further study

Previous students have gone on to work for leading consulting engineering companies such as Arup, Pick Everad, Hoare Lea, Hulley and Kirkwood and SE Controls. Some of these companies offer work placements for students to undertake their research dissertations. Many visit the university to deliver lectures to our MSc students providing ideal opportunities for students to discuss employment opportunities.

Accreditation

The programme is accredited for further learning for CEng and professional membership by the CIBSE and Energy Institute.
The 'SE Controls prize for best overall performance' is awarded to the student graduating from this course with the highest overall mark. This presentation is made on graduation day.

Scholarships

The University offers over 100 scholarships each year to new self-financing full-time international students who are permanently resident in a county outside the European Union. These Scholarships are to the value of 25% of the programme tuition fee and that value will be credited to the student’s tuition fee account.
You can apply for a scholarship once you have received an offer for a place on this programme.

Why choose civil engineering at Loughborough?

As one of four Royal Academy of Engineering designated Centres of Excellence in Sustainable Building Design, the School of Civil and Building Engineering is one of the largest of its type in the UK and holds together a thriving community of over 60 academic staff, 40 technical and clerical support staff and over 240 active researchers that include Fellows, Associates, Assistants, Engineers and Doctoral Students.

Our world-class teaching and research are integrated to support the technical and commercial needs of both industry and society. A key part of our ethos is our extensive links with industry resulting in our graduates being extremely sought after by industry and commerce world-wide,

- Postgraduate programmes
The School offers a focussed suite of post graduate programmes aligned to meet the needs of industry and fully accredited by the relevant professional institutions. Consequently, our record of graduate employment is second to none. Our programmes also have a long track record of delivering high quality, research-led education. Indeed, some of our programmes have been responding to the needs of industry and producing high quality graduates for over 40 years.

Currently, our suite of Masters programmes seeks to draw upon our cutting edge research and broad base knowledge of within the areas of contemporary construction management, project management, infrastructure management, building engineering, building modelling, building energy demand and waste and water engineering. The programmes are designed to respond to contemporary issues in the field such as sustainable construction, low carbon building, low energy services, project complexity, socio-technical systems and socio-economic concerns.

- Research
Drawing from our excellent record in attracting research funds (currently standing at over £19M), the focal point of the School is innovative, industry-relevant research. This continues to nurture and refresh our long history of working closely with industrial partners on novel collaborative research and informs our ongoing innovative teaching and extensive enterprise activities. This is further complemented by our outstanding record of doctoral supervision which has provided, on average, a PhD graduate from the School every two weeks.

- Career Prospects
Independent surveys continue to show that industry has the highest regard for our graduates. Over 90% were in employment and/or further study six months after graduating. Recent independent surveys of major employers have also consistently rated the School at the top nationally for civil engineering and construction graduates.

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/civil/low-carbon-building-design/

Read less
There is a growing need by industry for staff trained in computational molecular sciences. Read more
There is a growing need by industry for staff trained in computational molecular sciences. This new multidisciplinary MSc will teach simulation tools used in a wide range of applications, including catalysis and energy materials, nanotechnology and drug design, and will provide skills transferable to other fields, thereby broadening employment prospects.

Degree information

Students will gain detailed knowledge and skills in molecular modelling, focusing on the state-of-the art simulation techniques employed to research the molecular level properties that determine the macroscopic behaviour of matter. They will also gain key research skills and will learn the basic concepts in business and entrepreneurship as applied to high-tech industries.

Students undertake modules to the value of 180 credits. The programme consists of two core modules (45 credits), three optional module (45 credits) and a research project (90 credits).

Core modules - students take the two modules listed below (45 credits) and submit a research dissertation (90 credits).
-Simulation Methods in Materials Chemistry
-The Scientific Literature

Optional modules - students take 45 credits drawn from the following:
-Mastering Entrepreneurship
-Numerical Methods in Chemistry
-Researcher Professional Development
-Transferable Skills for Scientists
-Choice of one postgraduate lecture module at UCL

Dissertation/report
All students undertake a computational research project which culminates in a substantial dissertation of approximately 10,000 to 12,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, seminars and laboratory classes. Assessment is through unseen examination, coursework, individual and group projects, poster creation, presentation and the research project.

Careers

There are increasing career opportunities in the field of molecular modelling in sectors including sustainable energy, catalysis, nanotechnology, biomedical materials and pharmaceuticals. This MSc will train students in the skills necessary for future employment in the industrial and public sector communities, together with specific training in career development and transferable skills.

The majority of students on the programme have moved on to PhD study.

Top career destinations for this degree:
-Chemistry, University College London (UCL)

Employability
The training provided by this program will enable the student to enter into a wide range of fields. Students may continue in academia to complete a PhD or pursue teaching as a profession. Students with the skills obtained during this study are highly sought after by the industrial sector, including IT, sustainable energy, catalysis, nanotechnology, biomedical materials and pharmaceuticals. Students are very likely to be welcome in the financial sector.

Why study this degree at UCL?

UCL Chemistry has a world-leading position in molecular modelling research.

Molecular modelling techniques are having increasing impact in the industrial sector, as evidenced by the partnership between UCL's Industrial Doctorate Centre in Molecular Modelling and Materials Science and a range of national and international industrial sponsors.

This multidisciplinary programme offers a wide range of options, thereby enabling each student to tailor the programme to their own needs and interests.

Read less

Show 10 15 30 per page


Share this page:

Cookie Policy    X