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Masters Degrees (Modelling)

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

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

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

Key Features of MRes in Computer Modelling in Engineering

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

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

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

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

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

Modules

Modules on the Computer Modelling in Engineering programme typically include:

• Finite Element and Computational Analysis

• Numerical Methods for Partial Differential Equations

• Solid Mechanics

• Advanced Fluid Mechanics

• Dynamics and Transient Analysis

• Communication Skills for Research Engineers

• MRes Research Project

Accreditation

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

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

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

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

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

Links with Industry

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

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

Student Quotes

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

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

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

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

Careers

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

Research

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

World-leading research

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

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

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

Research Environment at Swansea ranked 2nd in the UK

Research Impact ranked 10th in the UK

Research Power (3*/4* Equivalent staff) ranked 10th in the UK



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

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

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

Key Features: Computer Modelling and Finite Elements in Engineering Mechanics

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

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

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

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

Modules

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

Reservoir Modelling and Simulation

Solid Mechanics

Finite Element Computational Analysis

Advanced Fluid Mechanics

Computational Plasticity

Fluid-Structure Interaction

Nonlinear Continuum Mechanics

Computational Fluid Dynamics

Dynamics and Transient Analysis

Computational Case Study

Communication Skills for Research Engineers

Numerical Methods for Partial Differential Equations

Accreditation

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

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

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

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

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

Facilities

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

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

Links with Industry

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

Careers

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

Research

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

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

World-Leading Research

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

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



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There is a growing need for qualified professionals with expertise in environmental modelling. The UCL Environmental Modelling MSc is a cross-disciplinary degree that provides rigorous technical and scientific training for the next generation of environmental modelling professionals. Read more

There is a growing need for qualified professionals with expertise in environmental modelling. The UCL Environmental Modelling MSc is a cross-disciplinary degree that provides rigorous technical and scientific training for the next generation of environmental modelling professionals.

About this degree

You will gain a well-rounded training in the role, implementation and application of models in environmental science. Core modules provide a critical perspective on model-based science, and introduce essential computational and numerical methods. The programme is contextualised with reference to the challenges of understanding both natural and human-induced changes to a variety of environmental systems.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), optional modules (60 credits) and a research dissertation (60 credits).

A Postgraduate Diploma (120 credits, full-time nine months, part-time two years) is offered.

A Postgraduate Certificate (60 credits, full-time 12 weeks, part-time one year) is offered.

Core modules

  • Models in Environmental Science
  • Global Environmental Change
  • Scientific Computing
  • Analytical and Numerical Methods

Optional modules

Options may include:

  • Climate Modelling
  • Coastal Change
  • Environmental GIS
  • Impacts of Climate Change on Hydro-Ecological Systems
  • Lakes
  • Ocean Circulation and Climate Change
  • Surface Water Modelling
  • Terrestrial Carbon: Monitoring and Modelling

Other MSc modules offered across UCL may be taken at the discretion of the MSc convenor

Dissertation/report

All students undertake an independent research project, culminating in a dissertation of approximately 12,000 words and an oral presentation.

Teaching and learning

The programme is delivered through a combination of lectures, seminars, tutorials, and laboratory and computer-based practical classes. Assessment is through independent project work, practical-based and written coursework, written examinations and the dissertation.

Further information on modules and degree structure is available on the department website: Environmental Modelling MSc

Careers

The programme has been designed to provide an ideal foundation for PhD research, or for employment with environmental monitoring and protection agencies, industry and environmental consultancies. Graduates have gone on to careers as management consultants, business analysts and university researchers.

Recent career destinations for this degree

  • Risk Analyst, Canopius
  • Research Fellow, University of Girona and studying PhD Sanitas, Universitat de Girona (University of Girona)

Employability

Modelling was identified as the highest priority UK skills gap in a government review of the environmental sector. This MSc programme exposes students to the full range of environmental modelling which places graduates in a strong position to find employment. We anticipate that graduates of this MSc are either employed in the private environmental consulting sector or undertake a PhD.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

The Environmental Modelling MSc is run by UCL Geography which enjoys an outstanding international reputation for its research and teaching. Research groups contributing to the MSc include those concerned with environmental modelling and observation, past climates, and recent environmental change and biodiversity.

The programme draws on the unrivalled strengths of UCL in environment modelling. Our expertise encompasses state-of-the-art global climate models, regional ocean models, advanced hydrodynamic and hydrological simulations, palaeoclimate reconstruction over geological to recent historical timescales, earth observation-derived vegetation and carbon cycle modelling, and model-based assessment of climate change impacts on coastal, estuarine and freshwater systems.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Geography

81% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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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.

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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

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IN BRIEF. Maximise your employability potential by developing much needed environment-sector knowledge and skills. Develop the interdisciplinary expertise that will enable you to excel in your career. Read more

IN BRIEF:

  • Maximise your employability potential by developing much needed environment-sector knowledge and skills
  • Develop the interdisciplinary expertise that will enable you to excel in your career
  • Develop your professional network by working on projects in both an academic and business context
  • Part-time study option
  • International students can apply

COURSE SUMMARY

The MSc Environmental Modelling offers a broad curriculum that extends from the technical detail of environmental process modelling, to critical analysis of the role of modelling within decision-making processes, and the relevance of modelling to risk perception and management.

By bridging the divide between science and decision-making across a range of modelling contexts, this course adopts a truly interdisciplinary approach to the subject of environmental modelling. The inclusion of strong vocational and professional elements, in addition to traditional academic approaches is intended to ensure that graduates are equipped to enter a range of environment-related careers.

This course is particularly suited to those who wish to pursue a career with an environmental modelling focus, which is a priority area for environment sector employers in both the UK and abroad. This course will also prepare you to enter a broad range of careers across consultancy, business, research and government organisations. Graduates of this course will also be well placed to continue to a PhD programme.

COURSE STRUCTURE

This course has both full-time and part-time routes, comprising of three, 14-week semesters or five, 14-week semesters, which you can take within one or three years respectively.

TEACHING

This course offers a blended learning experience designed to cater for a range of learning styles:

  • Lectures, tutorials and seminars are supported by in-class exercises
  • Pre- and post-session study is administered through the Virtual Learning Environment
  • Practical classes enable you to develop your environmental modelling skills
  • Case studies and business-focused projects develop your professional and subject-specific skills
  • Field work and site visits develop your practical, observational and analytical skills
  • You also have the opportunity to discuss and exchange professional experiences with the course team and invited specialist speakers

ASSESSMENT

Each module is assessed individually through coursework, comprising individual essays or group report presentations.

CAREER PROSPECTS

This course is particularly suited to those who wish to pursue a career with an environmental modelling focus, which is a priority area for environmentsector employers in both the UK and abroad. This course will also prepare you to enter a broad range of careers across consultancy, business, research and government organisations. Graduates of this course will also be well placed to continue to a PhD programme.

LINKS WITH INDUSTRY

Through this course students have the opportunity to undertake some unpaid consultancy work for a client.  Potential clients include business, Government and academic institutions.  Working for clients in this way provides students with ‘real world’ experience to add to their CV and develops a broad range of highly attractive employability skills, including project management, communication, negotiation and problem solving.

FURTHER STUDY

After completion of this course, you may wish to specialise in a chosen subject area in one of the School’s two main research centres: Ecosystems and Environment Research Centre (EER) or Biomedical Research Centre (BRC).



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MSc Environmental Monitoring, Modelling and Reconstruction focuses on analysing past, present, and future dynamic environments, providing you with the skills for a career in environmental management or consultancy, and a firm grounding for research in the environmental sciences. . Read more

MSc Environmental Monitoring, Modelling and Reconstruction focuses on analysing past, present, and future dynamic environments, providing you with the skills for a career in environmental management or consultancy, and a firm grounding for research in the environmental sciences. 

Concerns over the human impact on the environment have stimulated demand from governments and industry for the monitoring, analysis and modelling of natural processes in environmental systems. This is essential if we are to improve understanding of the interrelation of environmental variables in order to predict and manage their responses to anthropogenic perturbations.

Studying this course, you will gain:

  • advanced theoretical knowledge and practical expertise in order to collect, interpret and analyse contemporary and past environmental data.
  • modelling skills, in order to investigate the interrelationships between environmental variables, and to predict their responses to changing internal and external conditions.
  • intellectual and practical skills, in order to design and undertake field and/or laboratory experiments in contemporary environmental process-monitoring, or palaeoenvironmental reconstruction, and to design and test appropriate environmental models with the data you collect.

We also use the proximity of Manchester to the upland areas of the Peak District; several past MSc students completed dissertation work in close collaboration with various organisations responsible for land management in the Peak District, giving their work direct policy relevance.

Aims

Teaching focuses on training in theory, concepts and research skills in the first semester, and practical applications and research experience in the second semester.

We teach course units in small-group interactive styles with a mix of lectures, tutorials, seminars, practicals and presentations. A range of physical geographers provide training in their specialised fields, covering both content and practical research methods.

In a typical week, expect to spend some time in the library, preparing for seminars; in the laboratory, completing practicals; in the dedicated postgraduate computer laboratory, or writing reports; and in the classroom.

The second semester in particular gives you increased opportunities to go out into the field, both for practicals and to gain research experience by doing field research with members of staff. We maintain an intensively monitored catchment on the moors near the Snake Pass in the Peak District and this is the focus of several practical exercises, as well as a source of data to support dissertation work.

Field and laboratory research are essential to your learning process in environmental monitoring, and these form integrated parts of both the taught units and dissertation work.

Teaching and learning

  • Part-time Study

Part-time students complete the full-time programme over 27 months.  There are NO evening or weekend course units available on the part-time programme, therefore if you are considering taking a programme on a part-time basis, you should discuss the requirements with the Programme Director and seek approval from your employer to have the relevant time off. Timetabling information is normally available from late August from the Programme Administrator and you will have the opportunity to discuss course unit choices during induction week with the Programme Director.

Coursework and assessment

Taught units comprise two-thirds of the course and are assessed by a wide range of project work, essays and presentations. There are no formal examinations. The remainder of your course consists of the dissertation. 

Course unit details

CORE COURSE UNITS

These typically cover:

  • Environmental Change and Reconstruction
  • Environmental Monitoring and Modelling Concepts
  • Environmental Monitoring and Modelling Practice
  • Dissertation Support.

OPTIONAL COURSE UNITS

Choose three from the following:

  • Applied Study Unit
  • Climate Change, Disasters and Urban Poverty
  • Digital Image Processing and Data Analysis
  • Environmental Impact Assessment
  • Environmental Remote Sensing
  • GIS and Environmental Applications
  • Issues in Environmental Policy
  • Planning for Environmental Change.

Availability of course units may vary from year to year.

LEVEL 4 OPTIONS

Students are allowed to take up to 2 of the following level 4 options:

  • Hydrochemical Modelling
  • Ice Age Earth
  • Managing the Uplands
  • Climate Change and Carbon Cycling
  • Coastal Processes
  • Frozen Planet, Satellites & Climate Change.

Typical course units comprise a minimum of a one-hour lecture per week, or seminar supported by supervised laboratory time. The exact balance varies, depending on the requirements of particular units. Additional contact time is arranged on an ad hoc basis by students to discuss assignments and other matters. By the end of the course, you will have an advanced level of theoretical knowledge and practical experience in:

  • Field/laboratory monitoring techniques for analysis of environmental processes
  • Advanced techniques for analysis of environmental materials field and laboratory techniques for palaeoenvironmental reconstruction based on stratigraphical studies of sediment cores, including microfossil and pollen analysis
  • GIS and remote sensing and advanced statistical methods
  • Designing, planning, funding and executing research projects in environmental monitoring, modelling or palaeoenvironmental reconstruction
  • Processing/analysing results logically, using objective statistical methods and/or mathematical modelling techniques objective, unbiased, and impartial reporting of analytical results and their interpretation, both oral and written, particularly scientific report writing. Normally taken full-time, the course is also well suited to part-time study over two years.

Facilities

The Arthur Lewis Building provides excellent resources including analytical laboratories, studio facilities, workshops, seminar rooms, an onsite café and dedicated computer clusters including GIS facilities.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 



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The Complex Systems Modelling - From Biomedical and Natural to Economic and Social Sciences MSc programme will teach you to apply mathematical techniques in the rapidly developing and exciting interdisciplinary field of complex systems and examine how they apply to a variety of areas including biomedicine, nature, economics and social sciences. Read more

The Complex Systems Modelling - From Biomedical and Natural to Economic and Social Sciences MSc programme will teach you to apply mathematical techniques in the rapidly developing and exciting interdisciplinary field of complex systems and examine how they apply to a variety of areas including biomedicine, nature, economics and social sciences. This research-led course is suitable for graduates who wish to work in research and development in an academic or industrial environment.

Key benefits

  • Located in the heart of London, giving unparalleled access to research facilities.
  • You will be studying innovative modules covering modern theories of complex systems modelling.
  • Research-led study programme taught by staff who are recognised leaders in their field.

Description

The Complex Systems Modelling MSc is an innovative study programme that explores the latest research in the rapidly developing and exciting interdisciplinary field of cpmplex systems.

Modern societies rely on a broad range of infrastructures, institutions and technologies, and their complexities have grown dramatically in the recent past. Consequently, there is a rapidly expanding demand for expertise in complex systems modelling as a foundation for understanding, maintaining and further developing of such systems.

The programme offers you the choice to study either full or part-time. You must take a combination of required and optional modules totalling 180 credits to complete the course. If you are studying full-time, you will complete the course in one year, from September to September. If you are studying part-time, your programme will take two years to complete. You will study the required modules in the first year, and a further selection of required and optional modules including the complex systems modelling module in your second year.

You will study key natural and biomedical scientific topics as well as economic and social sciences. We also offer the opportunity to study an additional zero-credit module called foundations for complex systems modelling and cross-disciplinary approaches to non-equilibrium systems and is designed as a refresher module covering vital mathematics and physics skills.

Course purpose

For graduates in mathematics, or in other suitable scientific disciplines with a strong background in mathematics, who want to work in research and development in an academic or industrial environment. The programme aims to develop a knowledge and understanding of complex systems modelling and their uses, and to enable students to use mathematical techniques to quantify, predict and improve such systems.

Course format and assessment

Primarily written examinations, some with coursework element, in eight lecture modules, plus an oral presentation and assessed report on the research project.

Career destinations

Our graduates are highly sought after: the applicability of complex systems modelling to areas as diverse as biomedical, natural, economic and social sciences, results in a broad range of opportunities. Some graduates are employed by the companies or laboratories that supervise their MSc research projects, or continue to PhD study.

Other career destinations include:

  • Complexity science consultancies and software development
  • Information Processing 
  • Data Analysis
  • NHS Research
  • Financial and re-insurance sectors
  • Industrial sectors linked to Physics, Science Materials and Engineering
  • Information Technology
  • Entertainment and Gaming 
  • Research and further studies


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This MSc provides an ideal foundation for students wishing to advance their mathematical modelling skills. The programme teaches students the basic concepts which arise in a broad range of technical and scientific problems and illustrates how these may be applied in a research context to provide powerful solutions. Read more

This MSc provides an ideal foundation for students wishing to advance their mathematical modelling skills. The programme teaches students the basic concepts which arise in a broad range of technical and scientific problems and illustrates how these may be applied in a research context to provide powerful solutions.

About this degree

Students develop an understanding of the processes undertaken to arrive at a suitable mathematical model and are taught the fundamental analytical techniques and computational methods used to develop insight into system behaviour. The programme introduces a range of problems - industrial, biological and environmental - and associated conceptual models and solutions.

Students undertake modules to the value of 180 credits.

The programme consists of five core modules (75 credits), three optional modules (45 credits), and a research dissertation (60 credits). 

The part-time option normally spans two years. The eight taught modules are spread over the two years. The research dissertation is taken in the summer of the second year.

Core modules

  • Advanced Modelling Mathematical Techniques
  • Nonlinear Systems
  • Operational Research
  • Computational and Simulation Methods
  • Frontiers in Mathematical Modelling and its Applications

Optional modules

  • Asymptotic Methods & Boundary Layer Theory
  • Biomathematics
  • Cosmology
  • Evolutionary Game Theory and Population Genetics
  • Geophysical Fluid Dynamics
  • Mathematical Ecology
  • Quantitative and Computational Finance
  • Theory of Traffic Flow
  • Waves and Wave Scattering

Dissertation/report

All MSc students undertake an independent research project, which culminates in a dissertation of approximately 15,000-words and a project presentation.

Teaching and learning

The programme is delivered through seminar-style lectures and problem and computer-based classes. Student performance is assessed through a combination of unseen examination and coursework. For the majority of courses, the examination makes up between 90–100% of the assessment. The project is assessed through the dissertation and an oral presentation.

Further information on modules and degree structure is available on the department website: Mathematical Modelling MSc

Careers

Our graduates have found employment in a wide variety of organisations such as Hillier-Parker, IBM, Swissbank, Commerzbank Global Equities, British Gas, Harrow Public School, Building Research Establishment and the European Centre for Medium-Range Weather-Forecasting. 

Recent career destinations for this degree

  • Actuarial Analyst, KPMG
  • Data Scientist, Echobox
  • Graduate Technical Professional, AVEVA
  • PhD in Biochemical Engineering, UCL
  • Engineer, Erds (EDF)

Employability

Finance, actuarial and accountancy professionals are constantly in demand for their high-level mathematical skills and recent graduates have taken positions in leading finance-related companies such as UBS, Royal Bank of Scotland, Societe Generale, PricewaterhouseCoopers, Deloitte, and KPMG.

In the engineering sector, one recent graduate has progressed to a mathematical modelling role at a leading transportation planning consultancy; another became a graduate trainee at a business segment of Schlumberger that provides reservoir imaging, monitoring, and development services.

In addition, a number of graduates have remained in education either progressing to a PhD or entering the teaching profession.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

UCL Mathematics is internationally renowned for its excellent individual and group research that involves applying modelling techniques to problems in industrial, biological and environmental areas.

The department hosts a stream of distinguished international visitors. In recent years four staff members have been elected fellows of the Royal Society, and the department publishes the highly regarded research journal Mathematika.

This MSc enables students to consolidate their mathematical knowledge and formulate basic concepts of modelling before moving on to case studies in which models have been developed for issues motivated by industrial, biological or environmental considerations.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Mathematics

82% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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

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

The MSc by Research Global Environmental Modelling enables students to pursue a one year individual programme of research. The Global Environmental Modelling programme would normally terminate after a year. However, under appropriate circumstances, this first year of research can also be used in a progression to Year 2 of a PhD degree.

You will be fully integrated into one of our established research groups and participate in research activities such as seminars, workshops, laboratories, and field work.

Key Features

Swansea is a research-led University and the Department makes a significant contribution, meaning that as a postgraduate Geography student you will benefit from the knowledge and skills of internationally renowned academics.

In the latest Research Assessment Exercise, 95% of Geography research at Swansea was judged to be of international quality, and 60% was regarded as World-leading or internationally excellent.

Facilities

As a student of the Global Environmental Modelling programme you will have access to:

Computer laboratory with 24 computers providing general IT software and programmes dedicated to Geographic Information Systems (GIS) and Remote Sensing Computer laboratory with 10 high-performance Linux workstations delivering software tools for advanced GIS and remote sensing applications

Specialist laboratory suites for stable isotope ratio analysis; tree ring analysis; extraction and identification of organic compounds; pollen extraction and analysis; rainfall simulation; tephra analysis; soil and sediment characterisation

In addition, the computing facilities include 15 dual-processor workstations for Earth Observation, a 20-node multiprocessor Beowulf cluster, and the Department’s IBM ‘Blue Ice’ Supercomputer, used mainly for climate and glaciological modelling.

Research

All academic staff in Geography are active researchers and the department has a thriving research culture and a strong postgraduate community.

The results of the Research Excellence Framework (REF) 2014 show that Geography at Swansea University is ranked joint 9th in the UK for research impact and 11th in the UK for research environment.

Research groups include:

Environmental Dynamics

Glaciology

Global Environmental Modelling and Earth Observation

Migration, Boundaries and Identity

Social Theory and Urban Space



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Our Environmental Monitoring, Modelling and Management MSc is a multidisciplinary course that will give you a deeper understanding of the processes and techniques for managing environmental change. Read more

Our Environmental Monitoring, Modelling and Management MSc is a multidisciplinary course that will give you a deeper understanding of the processes and techniques for managing environmental change. You will develop skills to assess the causes and manage the consequences of environmental, climatic and land use changes, choosing either a research or a consultancy pathway to frame your study. 

Key benefits

  • Your studies will focus on the delivery of essential technical skills (GIS, Remote Sensing, modelling and monitoring).
  • You will form close links with departmental research groups and external organisations in the UK and beyond.
  • Choose to study a research or consultancy pathway.

Description

The Environmental Monitoring, Modelling and Management MSc course offers advanced-level core training in environmental modelling and monitoring, remote sensing and Geographical Information Systems (GIS), and in the research methods required to use them effectively.

You will examine how to assess the causes and consequences of environmental, climatic and land-use change, with the choice to follow a research pathway or a consultancy pathway. The two paths share key training elements but offer modules designed to support career development in two distinct spheres:

  • The research path will link you with a departmental research group working on research aspects of environmental modelling and monitoring, and is designed explicitly for those going on to a career in research.
  • The consultancy pathway focuses on the application of fundamental training for environmental management and is for those wanting to use their skills directly in environmental management.

The course is made up of optional and required modules. You will be expected to obtain the minimum of 180 credits to complete the course.

If you are studying full-time, you will complete the course in one year, from September to September. If you are studying part-time, your course will take two years to complete. You will take the combination of required and optional modules over this period of time, with the dissertation in your second year.

Course purpose

For those seeking a deeper understanding of environmental processes and techniques for managing environmental change. Provides advanced-level training in the application of environmental modelling and monitoring, remote sensing and geographical information systems (GIS) to environmental management and the prevention, mitigation or adaptation to environmental change.

Course format and assessment

Teaching

We will teach you through a combination of lectures and seminars, and you will typically have 20 hours of this per module. We also expect you to undertake 180 hours of independent study for each module. For your 12,000 word dissertation, we will provide four workshops and five hours of one-to-one supervision to complement your 587 hours of independent study. Typically, one credit equates to 10 hours of work.

Assessment

Performance on taught modules in the Geography Department is normally assessed through essays and other written assignments, oral presentations, lab work and occasionally by examination, depending on the modules selected. All students also undertake a research-based dissertation of 12,000 words.

Career prospects

Many of our graduates have gone on to undertake further doctoral research as well as work as research assistants for international development agencies. There are good career opportunities with government agencies, international and national non-governmental organisations and academic research institutes.



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This programme develops mathematical modelling skills and provides mathematical techniques required by industry. The period October to June is devoted to lectures, tutorials and practical sessions comprising the core modules. Read more
This programme develops mathematical modelling skills and provides mathematical techniques required by industry.

The period October to June is devoted to lectures, tutorials and practical sessions comprising the core modules.

This is followed by a period of about 14 weeks devoted to an individual project either in an industrial or engineering company or at the University.

Core study areas include mathematical modelling, regular and chaotic dynamics, programming and numerical methods, advanced reliability, availability and maintainability, elements of partial differential equations, static and dynamic optimisation and fluid mechanics.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/mathematics/industrial-maths-modelling/

Programme modules

Compulsory Modules:
Semester 1
- Mathematical Modelling I
- Regular and Chaotic Dynamics
- Programming and Numerical Methods
- Advanced Reliability, Availability and Maintainability

Semester 2
- Mathematical Modelling II
- Elements of Partial Differential Equations
- Static and Dynamic Optimisation
- Fluid Mechanics

Assessment

A combination of written examinations, reports, individual and group projects, and verbal presentations.

Careers and further Study

Graduate employment over a wide range of industries encompassing aerospace, automotive electronics, and computer interests as well as software houses, insurance companies, and research establishments and institutions.

Scholarships and sponsorships

A limited number of scholarships are available for this programme as well as the loyalty bonus scheme which reduces fees for Loughborough graduates.

Why choose mathematics at Loughborough?

Mathematics at Loughborough has a long history of innovation in teaching, and we have a firm research base with strengths in both pure and applied mathematics as well as mathematics education.

The Department comprises more than 34 academic staff, whose work is complemented and underpinned by senior visiting academics, research associates and a large support team.

The programmes on offer reflect our acknowledged strengths in pure and applied research in mathematics, and in some cases represent established collaborative training ventures with industrial partners.

- Mathematics Education Centre (MEC)
The Mathematics Education Centre (MEC) at Loughborough University is an internationally renowned centre of research, teaching, learning and support. It is a key player in many high-profile national initiatives.
With a growing number of academic staff and research students, the MEC provides a vibrant, supportive community with a wealth of experience upon which to draw.
We encourage inquiries from students who are interested in engaging in research into aspects of learning and teaching mathematics at Masters, PhD and Post Doc levels. Career prospects With 100% of our graduates in employment and/or further study six months after graduating, career prospects are excellent. Graduates go on to work with companies such as BAE Systems, Citigroup, Experian, GE Aviation, Mercedes Benz, Nuclear Labs USA and PwC.

- Career prospects
With 100% of our graduates in employment and/or further study six months after graduating, career prospects are excellent. Graduates
go on to work with companies such as BAE Systems, Citigroup, Experian, GE Aviation, Mercedes Benz, Nuclear Labs USA and PwC.

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/mathematics/industrial-maths-modelling/

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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 transferable skills to other fields, thereby broadening employment prospects.

About this degree

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

  • Simulation Methods in Materials Chemistry
  • The Scientific Literature

Optional modules

Students take 45 credits (3 modules) 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
  • Concepts in Computational and Experimental Chemistry
  • Advanced Topics in Inorganic Chemistry
  • Inorganic Rings, Chains and Clusters
  • Biological Chemistry
  • Principles of Drug Design
  • Principles and Methods of Organic Synthesis
  • Pathways, Intermediates and Function in Organic Chemistry
  • Advanced Topics in Physical Chemistry
  • New Directions in Materials Chemistry

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.

Further information on modules and degree structure is available on the department website: Molecular Modelling MSc

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.

Recent career destinations for this degree

  • PhD Chemistry, 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.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

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.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Chemistry

94% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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As we head towards zero carbon buildings, we need to better understand how buildings should be constructed and the materials we should use in their construction in order to increase their energy efficiency. Read more
As we head towards zero carbon buildings, we need to better understand how buildings should be constructed and the materials we should use in their construction in order to increase their energy efficiency.

Whether you are working in the construction industry, a graduate from a built environment background or you want to upskill for a new construction role, we will teach you how to analyse the performance of existing buildings and to design and model new, energy efficient buildings.

You will gain an understanding of building physics and performance, including how buildings respond to weather, how to heat buildings efficiently and how bricks, mortar, timber and insulants act as a thermal barrier. Discover how to use 3D modelling packages to study individual building components and analyse how buildings respond to environmental conditions and occupancy patterns.

You can combine this course with other Advanced Professional Diplomas as part of our MSc Sustainable Engineering or study it as a standalone qualification.

Visit the website http://courses.leedsbeckett.ac.uk/buildingmodellingandsimulation_apd

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

Aimed at professionals working within the built environment or graduates looking to build on their knowledge of the built environment, we will help you further your employment prospects within the construction industry. With the ability to assess the performance of existing buildings and the specialist skills to design and model new buildings, you will be a valuable asset to any construction company.

- Building Surveyor
- Architectural Technician
- Mechanical Engineer

Careers advice:
The dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit the careers site - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Course Benefits

Study part time at your own pace around your job and learn the latest developments in building modelling and performance that will set you apart in the workplace.

When it comes to understanding the performance of buildings in the UK, the government and building industry alike turn to our University for expertise and advice. You will be learning from a teaching team and industry experts who have worked with the UK government and large material manufacturers including Saint-Gobain and ARC Building Solutions to enhance the performance and efficiency of buildings. You will hear the first-hand experiences of business leaders and sustainability experts involved in UK and international consultancy projects on building modelling and simulation.

Through our virtual learning environment you will have access to the latest information about building designs and research on how building stock can be made more energy efficient. Online materials including videos, up-to-date research on thermal performance, moisture propagation and building fabrics, and simulations considering weather conditions, occupancy and the impact of solar and ventilation will inform your learning.

Core Modules

Building Environmental Science & Modelling
Learn to assess building performance for occupant comfort, health, energy use and serviceable life. Discover how modelling of building fabrics and components is used to predict performance.

Building Detailed Design & Specification
Apply the principals learned in the Building Environment Science & Modelling module to the design of building details to maximise performance while avoiding problems.

Professor Chris Gorse

Professor of Construction and Project Management

"The future of our energy efficient homes, workplaces and smart cities is underpinned by the performance and reliability of the models we use. This course will advance your understanding and ability to apply the latest tools and techniques to the field"

Chris Gorse is Professor of Construction and Project Management and Director of Leeds Sustainability Institute. He leads projects in the areas of sustainability, low carbon and building performance and has an interest in domestic new builds, commercial buildings and refurbishment. Chris is an established author and has consultancy experience in construction management and law.

Facilities

- Northern Terrace
Based at our City Campus, only a short walk from Leeds city centre, Northern Terrace is home to our School of Built Environment & Engineering.

- Leeds Sustainability Institute
Our Leeds Sustainability Institute's facilities include the latest drone and thermal imaging technology to provide new ways of measuring and evaluating building sustainability.

- Library
Our Library is open 24/7, every day of the year. However you like to work, we have got you covered with group and silent study areas, extensive e-learning resources and PC suites.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

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he contribution of mathematical and computational modelling to the understanding of biological systems has rapidly grown in recent years. Read more
he contribution of mathematical and computational modelling to the understanding of biological systems has rapidly grown in recent years. This discipline encompasses a wide range of life science areas, including ecology (e.g. population dynamics), epidemiology (e.g. spread of diseases), medicine (e.g. modelling cancer growth and treatment) and developmental biology.

This programme aims to equip students with the necessary technical skills to develop, analyse and interpret models applied to biological systems. Course work is supported by an extended and supervised project in life science modelling.

Students will take a total of 8 courses, 4 in each of the 1st and 2nd Semesters followed by a 3-month Project in the summer. A typical distribution for this programme is as follows:

Core courses

Modelling and Tools;
Mathematical Ecology;
Dynamical Systems;
Mathematical Biology and Medicine.

Optional Courses

Optimization;
Numerical Analysis of ODEs;
Applied Mathematics;
Statistical Methods;
Stochastic Simulation;
Partial Differential Equations;
Numerical Analysis;
Geometry;
Climate Change: Causes and Impacts;
Biologically Inspired Computation;
Climate Change: Mitigation and Adaptation Measures.

Typical project subjects

Population Cycles of Forest Insects;
Modelling Invasive Tumour Growth;
The replacement of Red Squirrels by Grey Squirrels in the UK;
Wiring of Nervous System;
Vegetation Patterning in Semi-arid Environments;
Daisyworld: A Simple Land Surface Climate Model.

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