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Masters Degrees (Complex Systems Modelling)

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Our MSc Complex Systems Modelling programme enables you to apply mathematical techniques in the rapidly developing and exciting interdisciplinary field of complex systems. Read more
Our MSc Complex Systems Modelling programme enables you to apply mathematical techniques in the rapidly developing and exciting interdisciplinary field of complex systems. This field of study is applicable to areas as diverse as biomedical, natural, economic and social sciences. It is suitable for those who wish to work in research and development in an academic or industrial environment.

Key benefits

- Unrivalled location at the centre of London.

- Research-led interdisciplinary programme.

- Modern theory of complex systems modelling.

- Taught by experts in the field.

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/complex-systems-modelling-msc.aspx

Course detail

- Description -

Modern societies rely on a wide range of infrastructures, institutions and technologies whose complexity has grown dramatically in the recent past. Consequently there is an ever-growing demand for expertise in complex systems modelling as a prerequisite to understanding, maintaining and further developing such systems.

The MSc in Complex Systems Modelling is a taught programme with a significant research component in the rapidly developing and exciting interdisciplinary field of Complex Systems. It covers scientific areas ranging from biomedical and natural to economic and social sciences, and consists of a wide range of modules including the following core modules:

- Research Methods and Advanced Topics in Complex Systems
- Theory of Complex Networks
- Equilibrium Analysis of Complex Systems

You must also complete a project in a relevant area after passing the written examinations. This can be carried out and supervised in the department or in appropriate academic or industrial institutions outside the College.

- 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 prospects

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.

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

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This course has been designed with industry to meet the challenge of interdependence between sophisticated engineered systems of all kinds. Read more
This course has been designed with industry to meet the challenge of interdependence between sophisticated engineered systems of all kinds. It is often taken in its part-time format.

It is aimed at engineers who have specialised in a traditional discipline but are now expected to understand, operate in, develop and integrate entire systems that are not only increasingly complex but rapidly changing.

The block taught format of the programme and the option to elect assessment by coursework rather than exam makes it a popular part time course and a CPD option.

Core study areas include systems thinking, systems architecture, systems design, verification and validation, and an individual project.

Optional study areas include enterprise systems management, holistic engineering (industry-led module), sensors and actuators for control, imagineering technologies, engineering and management of capability and understanding complexity.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/eese/systems-engineering/

Programme modules

Compulsory Modules:
• Systems Thinking
• Systems Architecture
• Systems Design
• Validation & Verification
• Individual Project

Optional Modules (choose four):
• Enterprise Systems Engineering
• Holistic Engineering (industry-led module)
• Sensors and Actuators for Control
• Imagineering Technologies
• Engineering and Management of Capability
• Understanding Complexity

Block taught, individual modules are also highly suitable as CPD for professional engineers working onsystems engineering projects and challenges.

How you will learn

The curriculum stimulates thinking and extends the capabilities of technical managers and engineers to handle complexity, enabling them to remain effective in the workplace by providing:
- an integrated systems engineering view of inter-related technologies, processes, tools, techniques and their effective use;

- essential systems skills such as model-based systems architecture and design, against a background of the need for traceability in managing complex projects;

- knowledge and technical expertise in a range of systems technologies;

- experience of the importance to ultimate success of effective, integrated, multi-skilled project teams working in extended enterprises beyond the confines of any particular organisation;

- increased depth of technical and management knowledge through elective modules; and

- the ability to transfer systems skills and knowledge into the workplace through the individual master’s project.

Teaching staff comprise a varied skill set of international expertise to give the broadest perspectives and modules frequently feature master classes from industry practitioners.

- Assessment
There is the option to complete without written examinations as all compulsory modules are assessed by coursework. Where examinations are taken these are in January and May.

Facilities

We employ advanced modelling, simulation and interactive visualisation tools and techniques to enable you to gain greater understanding of the performance, behaviour and emergent properties of advanced technology and complex systems.

Many of these facilities are part of the Advanced VR Research Centre ( AVRRC) http://www.lboro.ac.uk/research/avrrc/facilities/

Careers and further study

Graduates of this course gain capabilities that are in global demand across a range of sectors and which can be applied to the challenges and issues posed by any complex system design and operation.

Promotion within their company for sponsored students is common since the course enables them to match higher job expectations and demands. Employed students often bring a work-relevant topic to their individual project giving the opportunity to display newly acquired skills.

Why choose electronic, electrical and systems engineering at Loughborough?

We develop and nurture the world’s top engineering talent to meet the challenges of an increasingly complex world. All of our Masters programmes are accredited by one or more of the following professional bodies: the IET, IMechE, InstMC, Royal Aeronautical Society and the Energy Institute.

We carefully integrate our research and education programmes in order to support the technical and commercial needs of society and to extend the boundaries of current knowledge.

Consequently, our graduates are highly sought after by industry and commerce worldwide, and our programmes are consistently ranked as excellent in student surveys, including the National Student Survey, and independent assessments.

- Facilities
Our facilities are flexible and serve to enable our research and teaching as well as modest preproduction testing for industry.
Our extensive laboratories allow you the opportunity to gain crucial practical skills and experience in some of the latest electrical and electronic experimental facilities and using industry standard software.

- Research
We are passionate about our research and continually strive to strengthen and stimulate our portfolio. We have traditionally built our expertise around the themes of communications, energy and systems, critical areas where technology and engineering impact on modern life.

- Career prospects
90% of our graduates were in employment and/or further study six months after graduating. They go on to work with companies such as Accenture, BAE Systems, E.ON, ESB International, Hewlett Packard, Mitsubishi, Renewable Energy Systems Ltd, Rolls Royce and Siemens AG.

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/eese/systems-engineering/

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The global challenge of environmental sustainability highlights the need for holistic design and management of complex environmental and technological systems. Read more
The global challenge of environmental sustainability highlights the need for holistic design and management of complex environmental and technological systems. This interdisciplinary Master's programme presents environmental issues and technologies within a systems engineering context. Graduates will understand interactions between the natural environment, people, processes and technologies to develop sustainable solutions.

Degree information

Students will develop an understanding of systems engineering and environmental engineering. Environmental engineering is a multidisciplinary branch of engineering concerned with devising, implementing and managing solutions to protect and restore the environment within an overall framework of sustainable development. Systems engineering is the branch of engineering concerned with the development and management of large complex systems.

Students undertake modules to the value of 180 credits. The programme consists of four core modules (60 credits), a collaborative environmental systems project (30 credits), two optional modules (30 credits) and an individual environmental systems dissertation (60 credits). A Postgraduate Diploma (120 credits) is offered.

Core modules
-Collaborative Environmental Systems Project
-Environmental Systems
-Systems Engineering and Management
-Systems Society and Sustainability
-Environmental Modelling

Optional modules - options may include the following:
-Urban Flooding and Drainage
-Coastal Engineering
-Water and Wastewater Treatment
-Natural Environmental Disasters
-The Control of Noise
-Industrial Symbiosis
-Environmental Masterplanning
-Energy Systems Modelling
-Smart Energy Systems
-Low Carbon Energy Supply System Design for Buildings and Neighbourhoods
-Energy Systems & Sustainability
-Politics of Climate Change
-Natural Environmental Disasters
-Engineering and International Development
-Waste and Resource Efficiency
-Project Management for Engineers

Dissertation/report
All MSc students undertake an independent research project addressing a problem of systems research, design or analysis, which culminates in a dissertation of 10,000.

Teaching and learning
The programme is delivered through lectures, seminars, tutorials, laboratory classes and projects. The individual and group projects in the synthesis element involve interaction with industrial partners, giving students real-life experience and contacts for the future. Assessment is through written examination, coursework, presentations, and group and individual projects.

Careers

Career paths for environmental systems engineers are diverse, expanding and challenging, with the pressures of increasing population, desire for improved standards of living and the need to protect the environmental systems. There are local UK and international opportunities in all areas of industry: in government planning and regulation, with regional and municipal authorities, consultants and contracting engineers, research and development organisations, and in education and technology transfer. Example of recent career destinations include Ford, KPMG, EDF Energy, Brookfield Multiplex, and the Thames Tideway Tunnel Project.

Top career destinations for this degree:
-Environmental Specialist, BHP Billiton
-Project Engineer, Alberta WaterSMART
-Project Manager, Veolia Environmental Services
-MSc Business Management, Imperial College Business School, Imperial College
-PhD Environmental Research, Imperial College London

Employability
The discipline of environmental systems engineering is growing rapidly with international demand for multi-skilled, solutions-focussed professionals who can take an integrated approach to complex problems.

Why study this degree at UCL?

The discipline of environmental systems engineering is growing rapidly with an international demand for multi-skilled professionals who can take an integrated approach to solving complex environmental problems (e.g. urban water systems, technologies to minimise industrial pollution). Environmental engineers work closely with a range of other environmental professionals, and the community.

Skills may be used to:
-Design, construct and operate urban water systems.
-Develop and implement cleaner production technologies to minimise industrial pollution.
-Recycle waste materials into new products and generate energy.
-Evaluate and minimise the environmental impact of engineering projects.
-Develop and implement sound environmental management strategies and procedures.

UCL Civil, Environmental & Geomatic Engineering is an energetic and exciting environment in which to explore environmental systems engineering. Students have the advantages of studying in a multi-faculty institution with a long tradition of excellence in teaching and research, situated at the heart of one of the world's greatest cities.

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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.

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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.

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Information systems are becoming ever more central to society, especially in business and industry. As society and technology develop in parallel, the most important skills for the future lie in the development of individuals with the ability to both understand and manage these complex and interrelated systems. Read more
Information systems are becoming ever more central to society, especially in business and industry. As society and technology develop in parallel, the most important skills for the future lie in the development of individuals with the ability to both understand and manage these complex and interrelated systems.

Consequently, aspects of business that were once seen in isolation (people, organisation, process, information and technology) are now expected to operate as part of a seamless whole – both within and across enterprises. This places stringent new demands on the knowledge, skills and technologies required to develop and manage such systems.

The aim of this programme is to develop critical understanding of the management of information systems in the context of the organisational issues and challenges that impact on their development and application.


Enterprise Modelling, which cultivates skills and knowledge related to business, conceptual and software modelling. Example topics of study include different paradigms for modelling (including business services, processes and objects), techniques for modelling the business domain and business behaviour, the relationship between business modelling and software modelling and the use of the Unified Modelling Language (UML).

Systems in Context, which aims to develop a critical understanding of information and information systems and the role that each plays in the context of the modern working environment and society. Example topics of study include: concepts of 'information' and 'information systems', information revolutions and their impact, approaches to the implementation and use of information systems in modern working environments.

Research Method, which introduced methods of data collection and analysis when conducting empirical research. This research can take place in an organisational setting. Both in the private or the public sector. This module is essential preparation for the dissertation.

Organisational Change and Business Improvement, which aims to develop a reflective understanding, alongside the knowledge and skills necessary to the implementation of new procedures or technologies intended to realign an organization with the changing demands of its business environment (or to capitalise on business opportunities). Example topics of study include: understanding and justifying change, change management, managing technology risks, ethical issues in change.

ICTs and Strategic Change, which aims to develop a critical awareness of the central issues and challenges in strategic approaches to information systems. Example topics of study include the nature of strategic planning and its key components, the relationship of IS/IT strategy to organisational aims and strategy, the assumptions of traditional planning approaches to strategic ICT adoption and state-of-the-art responses to issues and challenges.

Systems Project Management, which aims to develop a critical awareness of the central issues and challenges in information systems project management. Example topics of study include traditional project management techniques and approaches, the relations between projects and business strategy, the role and assumptions underpinning traditional approaches and the ways in which the state-of-the-art can be improved.

Data Management and Business Intelligence, which aims to develop the knowledge and skills necessary to support the development of business intelligence solutions in modern organisational environments. Example topics of study include issues in data/information/knowledge management, approaches to information integration and business analytics. Practical aspects of the subject are examined in the context of the SAP Netweaver and Business Warehouse environment.

Business Integration, which aims to develop a critical understanding of the issues of integrating people, process and technology systems both within and across organisational contexts. Example topics of study include: the dimensions of business integration, collaborative working and its issues, virtual organisations, electronic markets and commerce policy.

Dissertation

In addition, you will be asked to produce a dissertation, which is an opportunity to build expertise in a more focused area that is of interest to you and which you may want to specialise in. The dissertation not only showcases your project management and subject specific skills to potential employers, but also serves as valuable experience and a solid building block for those wishing to pursue a PhD, on completion of their MSc. Your work will be individually supervised by a member of academic staff. You will be encouraged to critically examine the academic and industrial contexts of your research, identify problems and think originally when proposing potential solutions that serve to demonstrate and reflect your ideas.

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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

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This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems. Read more
This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems.

Who is it for?

This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems and aiming at a high-quality career in the industry, e.g. software houses, consultancies, and major software users across different sectors.

Students will have a keen interest in designing complex software systems, coding them in a programming language using the latest technologies (SOA, cloud, etc.), and ensuring that they are of high quality and that they actually meet the needs of their stakeholders.

Objectives

You will develop skills in analysing requirements and designing appropriate software solutions; designing and creating complex software systems to solve real-world problems, evaluating and using advanced software engineering environments, design methods and programming languages, and evaluating and responding to recent trends in interoperability and software development.

The course focuses on advanced engineering concepts and methods, as well as design issues for the systematic development of high-quality complex software systems. These are explored using industrial strength technologies, like the C++ and Java programming languages and the UML modelling language.

The course covers significant trends in systems development, including service-oriented architecture, cloud computing, and big data. The course is delivered by acknowledged experts and draws on City's world-class research in Systems and Software Engineering, which has one of the largest groups of academics working in this area in London, covering almost all aspects - from requirements, to designing reliable systems for the nuclear industry.

Placements

Postgraduate students on a Computing and Information Systems course are offered the opportunity to complete up to six months of professional experience as part of their degree.

Our longstanding internship scheme gives students the chance to apply the knowledge and skills gained from their taught modules within a real business environment. An internship also provides students with professional development opportunities that enhance their technical skills and business knowledge.

Internships delivered by City, University of London offer an exceptional opportunity to help students stand out in the competitive IT industry job market. The structure of the course extends the period for dissertation submission to January, allowing students to work full-time for up to six months. Students will be supported by our outstanding Professional Liaison Unit (PLU) should they wish to consider undertaking this route.

Teaching and learning

Software Engineering MSc is available full-time (12 months) as well as part-time (up to 28 months).

Students successfully completing eight taught modules and the dissertation for their individual project will be awarded 180 credits and a Master's level qualification. Alternatively, students who do not complete the dissertation but have successfully completed eight taught modules will be awarded 120 credits and a postgraduate diploma. Successful completion of four taught modules (60 credits) will lead to the award of a postgraduate certificate.

Assessment

Each module is assessed through a combination of coursework and examination.

Modules

You will develop skills in analysing requirements and designing appropriate software solutions; designing and creating complex software systems to solve real-world problems, evaluating and using advanced software engineering environments, design methods and programming languages and evaluating and responding to recent trends in interoperability and software development.

The focus of the course is on advanced engineering concepts and methods, as well as design issues for the systematic development of high-quality complex software systems. These are explored using industrial strength technologies, such as the C++ and Java object-oriented programming languages and the UML modelling language.

The course covers significant trends in systems development, including service-oriented architecture, mobile and pervasive computing, cloud computing, big data, and XML-enabled interoperable services. The course is delivered by acknowledged experts and draws on City's world-class research in Systems and Software Engineering. City has one of the largest groups of academics working in the area in London, working on almost all aspects of the area - from requirements, to designing reliable systems for the nuclear industry.

Core modules - there are five core modules:
-Advanced Database Technologies (15 credits)
-Research Methods and Professional Issues (15 credits)
-Service Oriented Architectures (15 credits)
-Software Systems Design (15 credits)
-Advanced Programming: Concurrency (15 credits)

Elective modules - you will be required to take three elective modules, choosing from the following:
-Advanced Algorithms and Data Structures (15 credits)
-Big Data (15 credits)
-Programming in C++ (15 credits)
-Business Engineering with ERP Solutions (15 credits)
-Mobile and Pervasive Computing (15 credits)
-Data Visualization (15 credits)
-Cloud Computing (15 credits)

Career prospects

The MSc in Software Engineering aims to meet the significant demand for graduates with a good knowledge of computing. This demand arises from consultancies, software houses, major software users such as banks, large manufacturers, retailers, and the public services, defence, aerospace and telecommunications companies.

Typical entrants to the course have a degree in an engineering or scientific discipline, and wish to either move into the software engineering field or to the development of software for their current field. Entrants must have previous exposure to computing, especially to programming (particularly in Java or C#) and relational databases (from either academic or professional experience).

From this base, the course provides solid technical coverage of advanced software development, including such widely used languages as C++, Java, UML and XML for which demand is particularly high. The course is therefore quite demanding; its success in providing advanced academic education along these lines is evident from the fact that recent graduates of the course are currently employed in a wide spectrum of organisations.

Of course, the employment value of a master's degree is not just short term. Although on-the-job training and experience as well as technology specific skills are valuable, they can be rather narrow and difficult to validate, and to transfer. The structure of this course ensures that there is a strong balance between the development of particular skills and a solid education in the enduring principles and concepts that underlie complex software system development.

SAP Certification - in parallel to your degree you will be able to register for a SAP TERP10 Certification course at a substantial discount, thus obtaining an additional, much sought-after qualification

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What do Facebook, the financial system, Internet or the brain have in common?. All are connected in a network. Read more
What do Facebook, the financial system, Internet or the brain have in common?

All are connected in a network. From the underlying skeleton of social relations, the interdependent evolution of our financial system, to the emergent collective computation in the brain, most of the complex systems that appear in society, technology, and nature are ultimately characterised by a nontrivial pattern of inter-relations. This underlying architecture is in turn shaping how information diffuses and spreads, how resilient the system is against attacks or perturbations, or how complex patterns emerge at the systemic level from the aggregation of seemingly simple individuals.

Our MSc in Network Science will provide a thorough grounding in the core principles of modelling and analysis of complex and networked systems, along with the principal analytical and numerical methodologies. This will open to students a host of career opportunities in systems and networks modelling industries, spanning the IT, financial, and biomedical sectors, that are now requiring such specialist knowledge and skills.

Network Science is a very active and rapidly evolving research field with high societal impact, which stands at the crossroads of graph theory, complexity and data analysis. Addressing the description and modelling of the architecture and dynamics of complex systems -systems composed by many interacting units that show collective behaviour- it stands as a new kind of science to cope with some of the most challenging endeavours we face today, in an ever increasingly more connected society.
Its impact and applications outside academia pervades technological sectors such as communications and infrastructures (Internet, transportation networks, energy networks, urban mobility), biostatistics and network biology (brain modelling, protein interaction networks, postgenomic era), public health (epidemic spreading models), marketing and IT (social media, data analytics) to cite a few. This specialist masters programme aims at providing graduate students and professionals with a rigorous training in the underlying mathematical concepts, the analysis and modelling of complex networks and networked systems, complemented with training in computing, numerical simulations and massive data analysis. It is aimed towards students whose undergraduate degree is in mathematics or a cognate discipline who wish to enter a career involving analysis and optimisation of diverse kinds of networks, networked dynamics and models.

Why study your MSc Network Science at Queen Mary?
This is a pioneering MSc in the UK, a joint programme, taught by our Schools of Mathematical Sciences, and Electronic Engineering and Computer Science, drawing on their strengths in research and teaching in the area of complex networks, mathematical modelling of complex systems, and data mining.

We teach what we know and what we do best. Within the School of Mathematics, the Complex Systems & Networks group is one of the biggest hubs in Network Science within the UK, where we address both fundamental and applied challenges in the mathematical modelling of complex systems with clear societal impact, in collaboration with several industrial stakeholders. Within the School of Electronic Engineering, the Networks group was founded in 1987, and has hugely expanded ever since, bringing their expertise in online social networks, data mining and cloud computing. The coalescence of both groups expertises has fostered the creation of this unique MSc.

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Our Master's programmes seek to develop knowledge, creativity and originality in one package - you. Each programme is a framework to help you to develop. Read more
Our Master's programmes seek to develop knowledge, creativity and originality in one package - you. Each programme is a framework to help you to develop:
a systematic understanding of knowledge;
a comprehensive understanding of techniques relevant to your area of study;
the key skills associated with critical awareness and evaluation.

As part of your development on the course, you will be increasingly expected to demonstrate that you can deal with complex issues in a systematic and creative manner and demonstrate self-direction and originality in problem solving.

Your studies on the course will cover:

Research Methods

This module will introduce methods of data collection and analysis when conducting empirical research. This research can take place in an organisational setting. Both in the private or the public sector. This module is essential preparation for the dissertation.

Enterprise Modelling

Cultivates skills and knowledge related to business, conceptual and software modelling. Example topics of study include different paradigms for modelling (including business services, processes and objects), techniques for modelling the business domain and business behaviour, the relationship between business modelling and software modelling and the use of the Unified Modelling Language (UML).

ERP Systems Theory and Practice

Examines the rationale, theories and practices around Enterprise Resource Planning systems (ERP) and develops the knowledge required to understand the forces driving ERP design and implementation. Example topics of study include enterprise systems strategy and rationale, issues of organisational implementation and business services, processes and functions from an ERP perspective. The module provides an introduction to the SAP R/3 environment and the practice of business process integration in that environment.

ERP Systems Deployment and Configuration

Examines the implications of implementing ERP systems in organisations and develops the key skills necessary to deploy and configure ERP systems. Example topics of study include business process improvement alongside enterprise systems configuration and configuration management (including Master Data Management, business services, processes and functions). The module examines practical aspects of configuration in the context of the SAP R/3 environment.

Service-oriented Architecture

Examines the organisational impact of service-oriented approaches and the technologies necessary for the successful implementation of enterprise and web services. Example topics of study include issues in creating and managing a system landscape based on services, architectural approaches to service-orientation and web service technologies (including semantic web services). Practical aspects of web service implementation are examined in the context of integration via the SAP Netweaver environment.

Data Management and Business Intelligence

Develops the knowledge and skills necessary to support the development of business intelligence solutions in modern organisational environments. Example topics of study include issues in data/information/knowledge management, approaches to information integration and business analytics. Practical aspects of the subject are examined in the context of the SAP Netweaver and Business Warehouse environment.

Systems project management

Develops a critical awareness of the central issues and challenges in information systems project management. Example topics of study include traditional project management techniques and approaches, the relations between projects and business strategy, the role and assumptions underpinning traditional approaches and the ways in which the state-of-the-art can be improved.

Semantic Integration Frameworks

Helps you develop a critical and practical understanding of concepts, standards and frameworks supporting semantic system integration, with a particular emphasis on the Semantic Web – the web of the future. Example topics of study include ontologies and their uses, ontology management and integration, inferencing and reasoning for and in semantic integration, as well as semantic integration standards such as RDF and OWL.

Dissertation

In addition, provided that you have reached an acceptable standard in the assessments and examinations, you may then undertake a dissertation. Work on a dissertation for this course will normally involve an in-depth study in the area of distributed information systems and computing (eg, a state-of-the-art review together with appropriate software development) and provides you with an excellent opportunity to demonstrate your expertise in this area to future employers or as a basis for future PhD study. Additionally, you can now work on an internship during your dissertation (see Special Features below).

Awards

A master's degree is awarded if you reach the necessary standard on the taught part of the course and submit a dissertation of the required standard. If you do not achieve the standard required, you may be awarded a postgraduate diploma or postgraduate certificate if eligible.

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What do Facebook, the financial system, Internet or the brain have in common?. "Everything is connected, all is network". Read more
What do Facebook, the financial system, Internet or the brain have in common?

"Everything is connected, all is network"
From the underlying skeleton of social relations, the interdependent evolution of our financial system, to the emergent collective computation in the brain, most of the complex systems that appear in society, technology, and nature are ultimately characterised by a nontrivial pattern of inter-relations. This underlying architecture is in turn shaping how information diffuses and spreads, how resilient the system is against attacks or perturbations, or how complex patterns emerge at the systemic level from the aggregation of seemingly simple individuals.

Our MSc Network Science will provide a thorough grounding in the core principles of modelling and analysis of complex and networked systems, along with the principal analytical and numerical methodologies. This will open to students a host of career opportunities in systems and networks modelling industries, spanning the IT, financial, and biomedical sectors, that are now requiring such specialist knowledge and skills.

Network Science is a very active and rapidly evolving research field with high societal impact, which stands at the crossroads of graph theory, complexity and data analysis. Addressing the description and modelling of the architecture and dynamics of complex systems -systems composed by many interacting units that show collective behaviour- it stands as a new kind of science to cope with some of the most challenging endeavours we face today, in an ever increasingly more connected society.
Its impact and applications outside academia pervades technological sectors such as communications and infrastructures (Internet, transportation networks, energy networks, urban mobility), finance (financial risk and systemic instability, financial networks, interbank cross-correlations), marketing and IT (social media, data analytics), public health (epidemic spreading models), or biostatistics and network biology (brain modelling, protein interaction networks, postgenomic era), to cite a few. This specialist masters programme aims at providing graduate students and professionals with a rigorous training in the underlying mathematical concepts, the analysis and modelling of complex networks and networked systems, complemented with training in computing, numerical simulations and massive data analysis. It is aimed towards students with a mathematical background who wish to enter a career involving analysis and optimisation of diverse kinds of networks, networked dynamics and models.

Why study your MSc Network Science at Queen Mary?
This is a pioneering MSc in the UK, a joint programme, taught by our Schools of Mathematical Sciences, and Electronic Engineering and Computer Science, drawing on their strengths in research and teaching in the area of complex networks, mathematical modelling of complex systems, and data mining.

We teach what we know and what we do best. Within the School of Mathematics, the Complex Systems & Networks group is one of the biggest hubs in Network Science within the UK, where we address both fundamental and applied challenges in the mathematical modelling of complex systems with clear societal impact, in collaboration with several industrial stakeholders. Within the School of Electronic Engineering, the Networks group was founded in 1987, and has hugely expanded ever since, bringing their expertise in online social networks, data mining and cloud computing. The coalescence of both groups expertises has fostered the creation of this unique MSc.

More about our two schools

Queen Mary is a member of the prestigious Russell Group of leading UK universities, combining world-class research, teaching excellence and unrivalled links with business and the public sector. The School of Mathematical Sciences has a distinguished history on itself. We have been conducting pioneering mathematical research since the 1950s, and as one of the largest mathematical departments in the UK, with over 50 members of staff, the school can offer diverse postgraduate study opportunities across the field, from pure and applied mathematics, to finance and statistics. Along with the MSc in Network Science, our cohort of postgraduate students specialise in Mathematics and Statistics, Mathematical Finance and Financial Computing. We are one of the UK’s leading universities in the most recent national assessment of research quality, we were placed ninth in the UK (REF 2014) amongst multi-faculty universities. This means that the teaching on our postgraduate programmes is directly inspired by the world-leading research of our academics. Our staff includes international leaders in many areas of mathematical research, and the School is a hive of activity, providing a vibrant intellectual space for postgraduate study.

The School of Electronic Engineering and Computer Science is internationally recognised for their pioneering and ground-breaking research in several areas including machine learning and applied network analysis. This expertise uniquely complements the more theoretical knowledge offered by the School of Mathematical Sciences, providing a well balanced mix of theory and applications and offering a deep and robust programme that combines the foundations of the mathematics of networks with the latest cutting edge applications in real world problems.

Additionally, Queen Mary holds a university-level Bronze Award for the Athena SWAN Charter, which recognises and celebrates good employment practice for women working in mathematics, science, engineering and technology in higher education and research.

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Technical systems, be they consumer products or industrial systems for process and production control, have an increasing need for intelligent control. Read more
Technical systems, be they consumer products or industrial systems for process and production control, have an increasing need for intelligent control.

By extending mechanical solutions with sensors and electronics there are ample possibilities to create not only new functions, but also make these new solutions effective and apply to quality and safety requirements, cost reductions and environmental demands.

The challenge lies in making the control of these systems accurate (precise), fast and yet robust and flexible.

Programme aim

The aim of the programme is to prepare the students for a professional career by providing a broad systems engineering
base, suited to the engineering of complex, computer-controlled (embedded) products and systems, and offering course packages toward subtopics (e.g. control; automation; mechatronics) and/or fields of application.

Applications span a wide spectrum, from small consumer devices and medical equipment to large systems for process and production control.

A basic idea behind the programme is the systems perspective and the general systems engineering skills. The elective part of the programme can be tailored towards an application area or to more fundamental topics in control, automation or mechatronics.

Programme description

A striking example of the current development can be found in the automotive area, where modern passenger cars increasingly depend on the integration of the car’s mechanical subsystems with a substantial amount of embedded computers, sensors, actuators, and communication devices, making it possible to create cars with active safety functions and new propulsion systems. Other evolving fields of this discipline is HVDC power transmission to minimize loss in the grid and intelligent robots for households and industry, to name a few.

To ensure development within the field, all these systems depend on engineers making them precise, effective, flexible, fast and safe. As a student you will become able to contribute to the development that will lead to the integration of functions for sensing, monitoring and control with a wide range of products and systems.

We prepare you for a professional career by providing a broad systems engineering base. In the basic courses our focus lies in developing your engineering skills on a system level; Discrete event systems, Modelling and simulation, Linear control system design, Embedded control systems and Design project. In the elective part of the programme, we offer course packages toward subtopics e.g. control, automation and mechatronics and/or fields of application.

In collaboration with Universität Stuttgart, we also offer you a possibility to pursue a double degree.

Why apply

The programme leads to a wide range of career opportunities with emphasis on operation, design, development and research of complex technical systems within almost any branch of industry. In fact, the generality of many of the methods offers great opportunities in terms of choosing among many different application domains. The acquired skills are needed at manufacturing companies, supplier companies, consulting firms and utility companies.

Job roles range from applied research to product and system development and operation, as well as extend to sales support and product planning. In addition, other career opportunities may arise as academic researchers, technical advisors, project managers and teachers at different levels.

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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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Information systems (IS) today are large, complex, varied in form and distributed, serving different types of people who use a variety of devices to access information. Read more
Information systems (IS) today are large, complex, varied in form and distributed, serving different types of people who use a variety of devices to access information. Specialists who recognise diverse business needs, and have a systematic approach to understanding the impact of technology on organisations, are essential to the success of any IS/IT strategy. Equal in importance to the architectures of systems and the supporting technologies, is the management and delivery of content, whether in the form of data, documents, images and sound.

Increasingly, the fundamental systems comprise digital architectures and networks which then embody and enable the distribution of digital content. Developed information systems are in reality socio-technical systems incorporating people, technologies and content. The information systems specialist becomes a more broadly based information professional as they extend their range and scope of operations towards the end users and their environments. Providing services to users and people at large and ensuring information resources deliver value is equally a part of the wider world of information systems.

Course detail

This course builds on typical undergraduate computing courses studied at level 4 and 5 or equivalent ( such as HND) by offering a level 6 entry route 'integrated' to a level 7 Masters course.

The two year combination provides a route to develop new knowledge and skills in areas critical to the introduction and success of modern information systems for enterprises. The course also provides a route for people with other backgrounds and experience to engage with the world of information systems. It helps you gain a full understanding of how information systems are designed and constructed, and of the impact of technology and its integration into an organisation. It will also give you the skills you need to work effectively in a business-consulting environment, and provide a solid basis for research.

To qualify for the award of MSc Information Systems (Integrated), candidates on the integrated pathway must study five level 6 modules consisting of 20 credits each and two 10 credits each, and six level 7 modules consisting of 20 credits and a 60 credits dissertation module.

Modules

Year One (Level 6)
• Strategies and Systems or Advanced Business Systems
• Development Methodologies
• Computer Security
• Advanced Databases
• Project Preparation
• Project
• IT Industry
Year Two (Level 7)
• Project Management
• Consultancy and Technological Innovation
• Enterprise Architecture
• Knowledge Management
• Learning and Professional Development
• Employability Skills and Employment
• HCI for Information Systems (optional)
• Mobile Applications Development ( optional)
• Data Architectures ( optional)
• UML Component Modelling(optional)
• Security Management ( optional)
• Research Methods
• Dissertation

Note: students select one option from the list offered

Format

Teaching consists of lectures, seminars and laboratory work to provide a basis for the intensive individual study you need to undertake to maximize your investment of time and potential outcomes from taking the course.

Assessment

Course assessed work is a significant part of the total assessment. There is practical work, report writing, critical academic writing and the skills and knowledge gained in these contribute to a capacity to deliver a high quality dissertation.

There are a number of end of module exams. Course tutors provide appropriate support throughout the module to ensure candidates are well prepared.

Career and study progression

The course aims to provide routes into a number of careers:
- information officers
- librarians, information service staff
- content and intelligence gatherers
- analysts
- researchers
- editors
- searchers and intermediaries
- advice and assistance workers
- data managers
- management information systems staff
- multimedia content workers
- mapping specialists and cartographers
- marketing research
- public relations and communication staff.

Outstanding graduates have gone on to further study at the level of MPhil and PhD at UWL and at other institutions. We actively encourage students with potential for research to make their interest known early on in their course.

How to apply

Click the following link for information on how to apply to this course: http://www.uwl.ac.uk/students/postgraduate/how-apply

Scholarships and bursaries

Information about scholarships and bursaries can be found here: http://www.uwl.ac.uk/students/postgraduate/scholarships-and-bursaries

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Each programme has a framework to help you to develop. a systematic understanding of knowledge. a comprehensive understanding of techniques relevant to your area of study. Read more
Each programme has a framework to help you to develop:
a systematic understanding of knowledge
a comprehensive understanding of techniques relevant to your area of study
the key skills associated with critical awareness and evaluation

As part of your development on the course, you will be increasingly expected to demonstrate that you can deal with complex issues in a systematic and creative manner and demonstrate self-direction and originality in problem solving.

The course will cover:

Enterprise Modelling, which cultivates skills and knowledge related to business, conceptual and software modelling. Example topics of study include different paradigms for modelling (including business services, processes and objects), techniques for modelling the business domain and business behaviour, the relationship between business modelling and software modelling and the use of the Unified Modelling Language (UML).

Systems in Context, which aims to develop a critical understanding of information and information systems and the role that each plays in the context of the modern working environment and society. Example topics of study include: concepts of 'information' and 'information systems', information revolutions and their impact, approaches to the implementation and use of information systems in modern working environments.

Research Method, which introduced methods of data collection and analysis when conducting empirical research. This research can take place in an organisational setting. Both in the private or the public sector. This module is essential preparation for the dissertation.

Organisational Change and Business Improvement, which aims to develop a reflective understanding, alongside the knowledge and skills necessary to the implementation of new procedures or technologies intended to realign an organization with the changing demands of its business environment (or to capitalise on business opportunities). Example topics of study include: understanding and justifying change, change management, managing technology risks, ethical issues in change.

ICTs and Strategic Change, which aims to develop a critical awareness of the central issues and challenges in strategic approaches to information systems. Example topics of study include the nature of strategic planning and its key components, the relationship of IS/IT strategy to organisational aims and strategy, the assumptions of traditional planning approaches to strategic ICT adoption and state-of-the-art responses to issues and challenges.

Systems Project Management, which aims to develop a critical awareness of the central issues and challenges in information systems project management. Example topics of study include traditional project management techniques and approaches, the relations between projects and business strategy, the role and assumptions underpinning traditional approaches and the ways in which the state-of-the-art can be improved.

Data Management and Business Intelligence, which aims to develop the knowledge and skills necessary to support the development of business intelligence solutions in modern organisational environments. Example topics of study include issues in data/information/knowledge management, approaches to information integration and business analytics. Practical aspects of the subject are examined in the context of the SAP Netweaver and Business Warehouse environment.

Business Integration, which aims to develop a critical understanding of the issues of integrating people, process and technology systems both within and across organisational contexts. Example topics of study include: the dimensions of business integration, collaborative working and its issues, virtual organisations, electronic markets and commerce policy.

Dissertation

In addition, you will be asked to produce a dissertation, which is an opportunity to build expertise in a more focused area that is of interest to you and which you may want to specialise in. The dissertation not only showcases your project management and subject specific skills to potential employers, but also serves as valuable experience and a solid building block for those wishing to pursue a PhD, on completion of their MSc. Your work will be individually supervised by a member of academic staff. You will be encouraged to critically examine the academic and industrial contexts of your research, identify problems and think originally when proposing potential solutions that serve to demonstrate and reflect your ideas.

Recent examples of dissertations by students taking this course include:
The adoption of electronic care records in the health sector
Using social networking technologies to promote small business enterprises
The application of information technology in the electoral process.

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