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Masters Degrees (Complex Systems Modelling)

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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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The Master’s programme focuses on designing and using complex modern computer systems. As part of the programme, students cover such subjects as innovation and entrepreneurship, hardware systems design and modelling, computer architecture and programming, software project management and databases, to name but a few. Read more

The Master’s programme focuses on designing and using complex modern computer systems. As part of the programme, students cover such subjects as innovation and entrepreneurship, hardware systems design and modelling, computer architecture and programming, software project management and databases, to name but a few.

Students can choose between the following two specialisations:

  • Computer Systems Design – focusing on the modelling, analysing, designing and testing of complex systems consisting of both hardware and software components;
  • Automation and Systems Engineering – focusing on the modelling, analysing and designing of automation and computer control systems.

The Department of Computer Engineering received the IBM Faculty Award 2011 and has an excellent partnership with experts from the IBM Development Centre in Germany and the IBM research laboratory in Israel.

Key features

  • Individual approach to students
  • Students work closely with professors
  • Uses the latest software and hardware to develop practical skills
  • Close cooperation and networking with the IT industry
  • Develops the computing and IT management skills needed to be effective in the industry and in commerce straight away

Course outline

The Computer and Systems Engineering Master's programme focuses on the education of designing and using modern complex computer systems. Nowadays computer systems are used more or less everywhere, they are extremely diverse and most of them are "invisible" to users. Such systems include not only traditional PC-s and sophisticated supercomputers, but also computer systems "embedded" into cars and mobile phones, for instance. Most of these computers are interconnected via various wired and wireless networks and do not work in isolation. These embedded systems can be either stand-alone items or an integral part of a larger system and represent the combination of software and hardware designed to perform specific functions.

When studying the Computer and Engineering Systems programme, students are exposed to systems design and modelling, computer architectures and programming, to name few of the topics. Exposure to those topics will position students well for jobs at small, medium and large companies. Their jobs will involve defining, designing and using embedded computer system in areas such as automotive electronics, consumer devices, telecommunications, etc.

The Computer and Systems Engineering programme is supervised by two departments of TUT - Department of Computer Engineering (DCE) and Department of Computer Control (DCC). Students can choose between two of the following specialisations:

  • Computer Systems Design (supervised by DCE) focuses on the modelling, analysing, designing and testing of complex systems consisting of both hardware and software components;
  • Automation and Systems Engineering (supervised by DCC) focuses on the modelling, analysing and designing of automation and computer control systems.

Faculty

Faculty of Information Technology (founded in 1965) trains specialists in the main fields of information and communications technology (ICT) at bachelor, master and doctoral level. High-quality knowledge based teaching and training is based on international research and development activities, and tight cooperation with ICT industry.

There are more than 2100 students annually learning in the faculty, which employs 150 faculty members, lecturers, researchers and engineers.

Curriculum

Structure of curriculum

Future career options

Graduates find employment as specialists in the design, realisation, application and administration of computerised equipment and systems. Career opportunities are varied: computer and software companies; banks; diagnostic systems in manufacturing, service, medicine; "smart" houses and manufacturing systems; industrial automation; management control and monitoring systems in air, water and ground based transport, etc. Master’s degree holders interested in high-level research work and university staff positions have the opportunity to continue their studies in the PhD programme.

Career opportunities and potential jobs: designer of computer and automated control systems and the components thereof, project manager, software developer, department manager, management board member, and management board chairman.



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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.

About this degree

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:

  • Engineering and International Development
  • Industrial Symbiosis
  • Politics of Climate Change
  • Project Management
  • Water and Wastewater Treatment
  • Urban Flooding and Drainage
  • Offshore and Coastal Engineering
  • Natural and Environmental Disasters
  • Energy Systems Modelling
  • Smart Energy Systems: Theory, Practice and Implementation
  • Indoor Air Quality in Buildings
  • Light, Lighting and Wellbeing in Buildings
  • Building Acoustics
  • Science, Technology and Engineering Advice in Practice
  • Energy Systems and Sustainability
  • Waste and Resource Efficiency

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 words.

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.

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

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.

Recent career destinations for this degree

  • Air Quality Engineer, National Environment Agency
  • Environmental Engineering Consultant, DOGO
  • Nuclear Analyst, EDF Energy
  • Graduate Flood Risk Engineer, Pell Frischmann
  • Project Manager, Veolia Environmental Services

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.

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 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.

Accreditation

The progamme is accredited by the Joint Boad of Moderators, which is made up of the Institution of Civil Engineers, The Institution of Structural Engineers, the Chartered Institutions of Highways and Transportation, and the Institute of Highway Engineers.

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: Civil, Environmental & Geomatic Engineering

60% 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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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 Systems Analysis and Design pathway gives students an understanding of how technological information systems work, enabling them to deliver IT-based solutions, such as enterprise systems to business and organisations. You’ll learn how to manage data to deliver actionable business insight using creative, sophisticated techniques to solve complex business issues. . Read more

The Systems Analysis and Design pathway gives students an understanding of how technological information systems work, enabling them to deliver IT-based solutions, such as enterprise systems to business and organisations. You’ll learn how to manage data to deliver actionable business insight using creative, sophisticated techniques to solve complex business issues. 

Commercial focus

Students will learn how systems ‘think’ and be able to apply their understanding to systems analysis and design methodology to enable them to plan, manage and design and implement information management projects.

After you’ve graduated

Our graduates leave us prepared to take on a range of jobs in the digital economy, from systems analysis and design, to product development and management consulting. Among other organisations, our alumni join financial services firms, IT companies, consulting firms, software houses, healthcare and the public sector.

Not sure which pathway to choose from 3 choices? Apply for the one that you feel fits you better and you will be able to change the pathway within the first few weeks from your arrival to the university.

Why Henley?

  • Consistently maintain highest standards: Henley is in top 1% of business schools worldwide to hold accreditation from all three bodies in the UK, Europe and US
  • Excellent networking potential : 72,000 Henley alumni members in 150 countries
  • High calibre students: always oversubscribed, 1,000 ambitious new Masters students join Henley each year
  • Award winning campus: beautiful, green, 134 hectares, with state of the art facilities
  • World-leading faculty: widely published, frequently asked for expert comment by media and to speak at events
  • Henley is proud to be part of the University of Reading. The University is ranked within the top 200 universities worldwide (Times Higher Education World University Rankings 2016/17 and QS World University Rankings 2018) and 98% of the research is rated as being of international standard.

Course content

Compulsory modules

Optional modules

In addition students must choose two optional module from the list below.

Please note there is no guarantee that in any one year all modules will be available. 

How we teach you

A holistic approach

Effective leadership requires more than first-class business acumen. It also requires a degree of self-awareness and sensitivity. Henley is renowned for its well-researched, professional approach to this aspect of business education and all our postgraduate programmes examine this aspect of leadership - helping to create emotionally intelligent graduates who can be fully effective in their chosen careers.

How you will learn

Henley Business School enjoys a strong reputation for the practical application of business ideas and concepts, underpinned by academic excellence and the strength of our research. We offer high-quality technical skills training as well as a deep understanding of the importance of personal development for leaders, a thread that runs through all of our Masters programmes.

Our postgraduate masters programmes feature a mix of core and optional modules, allowing you to tailor your degree towards your individual personal development needs and career ambitions. You will complete up to 10 taught modules during your programme, totalling 180 credits. One module usually equates to 20 credits or 10 hours of work per week. Your week will include lectures, tutorials, workshops and personal study, with each accounting for 25% of your time on average. This stimulating mix of lectures and interactive tutorials provides you with the opportunity to discuss and explore the subject material in depth with your lecturers and fellow students. You will be introduced to the latest thinking and research findings and be able to challenge some of those that have created it. You will also explore real-world issues and tackle current business challenges, and interact with guest lectures and speakers from industry, giving you the opportunity to test, extend and refine your knowledge and skills.

How we assess you

You will learn and be assessed through a wide variety of teaching methods which vary depending on your chosen Masters programme. These include online materials and multimedia content, guest lectures, individual and group assignments, case studies, field visits, dealing room simulations, presentations, applied projects, consultancy work and examinations.

On average examinations form around 70% of the assessed work with the remaining 30% coming from coursework, including a written dissertation or project depending on your chosen programme. The exam period falls between April and June in the summer term, with students taking an average of 5 or 6 exams. Graduation normally takes place in December.

Ongoing support

While postgraduate students are self-motivated and determined individuals, study at this level can present additional pressures which we take seriously. Lecturers are available to discuss the content of each module and your personal tutor can meet with you regularly to discuss any additional issues. Full-time support staff are also available to help with any questions or issues that may arise during your time at Henley

Careers and accreditations

Each pathway of our MSc Information Management is designed to give a rigorous academic understanding of real-life and current business issues. Graduates of the Systems Analysis and Design pathway will be equipped to manage and utilize information resources in various business fields including business & management, construction management and healthcare through a thorough understanding of systems analysis and design methodology.

A number of our students join our PhD programmes each year.

Students who pass the module INMR66 – Business Domain and Requirements Analysis with a mark of 60 or above will be eligible for the British Computer Society Professional Certificate in Business Analysis Practice. 



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

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.

Example module listing

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.

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

The programme aims to develop the knowledge and understanding in both petroleum refining and systems engineering. The key learning outcomes include:

  • 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.

The key learning outcomes include the abilities to:

  • 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

The programme primarily aims to develop skills for applying appropriate methods to the design and operation of petroleum refining processes. The key learning outcomes include the abilities to:

  • 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.

The key learning outcomes include the further development of the skills in the following areas:

  • 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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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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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.

Scholarships and bursaries

Information about scholarships and bursaries can be found here.



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This course builds upon typical computing courses available at undergraduate level and develops new knowledge and skills in areas critical for the successful introduction of information systems into business enterprises and organisations. Read more

This course builds upon typical computing courses available at undergraduate level and develops new knowledge and skills in areas critical for the successful introduction of information systems into business enterprises and organisations.

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

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.

Modules

  • Enterprise Architecture
  • Knowledge Management
  • Consultancy and Technical Innovation
  • Information Systems Project Management
  • UML Component Modelling
  • Advanced Rich Media (optional)
  • Data Architecture (optional)
  • Security Management (optional)
  • HCI for Information Systems (optional)
  • Mobile Applications Development (optional)
  • Research Methods
  • Dissertation.

Format

Diverse methods are used to explore all aspects of the field. A strong supportive culture exists amongst the course tutors which enables students to achieve their potential.

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 career options and positions. There are good opportunities for employment in the core IS and ICT functions at the development and service levels. Employers require information officers, librarians, information service staff, content and intelligence gatherers and analysts, researchers, editors, searchers and intermediaries, advice and assistance workers, data managers, management information systems staff, as well as multimedia content workers, mapping specialists and cartographers, marketing research, public relations and communication staff. All these wider information professional positions are grounded in the fundamental core the discipline of information systems and the broader computing and ICT environment.

Graduates have a good record of achieving employment and progressing in professional information work especially in the voluntary and private sector as well as in the public sector.

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.

Scholarships and bursaries

Information about scholarships and bursaries can be found here.



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This MSc provides an ideal foundation for graduates who wish to pursue a career as software engineers. Read more

This MSc provides an ideal foundation for graduates who wish to pursue a career as software engineers. The programme provides the opportunity to undertake a significant group software engineering project sponsored by a financial services company, allowing students to specialise in software systems engineering from a financial computing perspective.

About this degree

Students gain instruction in all aspects of software engineering needed for the development of large, complex, highly dynamic, distributed software-intensive systems. The programme covers requirements engineering, software design, validation and verification, tools for the development of software intensive systems, and provides instruction in financial information systems.

Students undertake modules to the value of 180 credits.

The programme consists of six core modules (90 credits), one optional module (15 credits), one elective module (15 credits) and a group project (60 credits).

Core modules

  • Financial Institutions and Markets (15 credits)
  • Professional Practice (15 credits)
  • Requirements Engineering and Software Architecture (15 credits)
  • Software Abstractions and Systems Integration (15 credits)
  • Tools and Environments (15 credits)
  • Validation and Verification (15 credits)

Optional modules

Students are required to select 15 credits from the Option group and 15 credits from the Elective group.

Option Group

  • Compliance, Risk and Regulation (15 credits)
  • Financial Market Modelling and Analysis (15 credits)

Elective Group

  • Complex Networks and Web (15 credits)
  • Computer Security I (15 credits)
  • Computer Security II (15 credits)
  • Distributed Systems and Security (15 credits)
  • Introduction to Logic, Semantics and Verification (15 credits)
  • Language Based Security (15 credits)
  • Malware (15 credits)
  • Modal Logic and Transition Systems (15 credits)
  • Multimedia Systems (15 credits)
  • Networked Systems (15 credits)
  • People and Security (15 credits)
  • Verification and Mechanised Proofs (15 credits)

Please note: the availability and delivery of modules may vary, based on your selected options.

Dissertation/report

All students participate in a group project, encompassing the full software development lifecycle and applying techniques learned, such as the technical skills of analysis, design and implementation.

Teaching and learning

The programme is delivered through a combination of lectures, written and laboratory exercises, and project work. Student performance is assessed through written exercises with modelling notations, laboratory exercises with tools and environments, unseen examination papers, and a significant, comprehensive group project.

Further information on modules and degree structure is available on the department website: Financial Systems Engineering MSc

Careers

This professionally oriented programme provides an ideal foundation for graduates who wish to pursue a career as a software architect or leader of software development organisations. It also provides an excellent introduction for those who want to pursue research in software systems engineering.

Graduates from UCL are keenly sought by the world's leading organisations, and many progress in their careers to secure senior and influential positions. UCL Computer Science graduates are particularly valued as a result of the department's international reputation, strong links with industry, and ideal location close to the City of London.

Graduates have found positions at global companies such as RBS and UBS.

Employability

There is, throughout the world, a strong demand for software engineers with solid foundations covering not only the programming aspects of software development, but also aspects related to requirements engineering, software architectures, system integration, and testing. Many surveys rank software engineering positions as among the best jobs in the world.

Following graduation, our students are generally hired as software engineers or software architects by large financial institutions, sometimes by institutions they have engaged with in the context of their MSc project.

Why study this degree at UCL?

UCL Computer Science is recognised as a world leader in teaching and research.

UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).

Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries from entertainment to finance.

We take an experimental approach to our subject and place a high value on our extensive range of industrial collaborations. In the recent past, students have worked on projects and coursework in collaboration with Microsoft, IBM, and financial institutions such as JP Morgan, Citigroup and BNP Paribas.

Accreditation

IET - Partial CEng (Further Learning). CITPFL - Accredited by BCS. CEng (partial fulfilment) - Accreditation by the BCS.

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: Computer Science

96% 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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