Masters Degrees (Complex)

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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Advances in medical care and technology now mean that many more children are living with complex health care needs and life limiting illness. This programme is designed to develop expertise in those caring for and supporting children and their families in a variety of settings. The Schools of Nursing and Midwifery, Education, Psychology and Sociology, Social Policy and Social Work have combined their expertise to create new and innovative programmes, under the Improving Children’s Lives initiative, which will allow students to develop into leadership positions where they can improve children’s lives in real terms.

We anticipate the course will appeal to a variety of people already working in relevant organisations, including children’s nurses and allied health professionals involved in caring for children and young people within the health and social care system, as well as those working for NGOs and charitable organisations, whose focus is supporting children and young people with complex health needs and their families. The programme has been constructed to enable students to pursue individual interests and to maximise the range of modules available to students - within the School of Nursing & Midwifery and in the other schools collaborating in the Improving Children’s Lives initiative.

The overall aim of the School of Nursing and Midwifery’s MSc in Caring for Children and Young People with Complex Health Needs is to offer high quality supportive teaching and learning environments that provide graduates with:
1. Skills necessary to promote and sustain innovative and emerging practice.
2. Intellectual and transferable skills necessary to function in positions of leadership and caring for children and young people with complex health needs.
3. Skills enabling graduates to critically review and introduce current evidence to practice or other investigative strategies relevant to caring for children and young people with complex health needs and their families.
4. Extensive research through execution of a Dissertation relating to caring for children and young people with complex health needs.

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About the Program

Complex systems with a technological, biological or socio-economic background determine our everyday life. The challenge of modeling these complex systems mathematically demands the following prototypic profile of an "expert mastering a repertoire of modern mathematical and computer based methods for modeling, simulating and optimizing complex systems and knowing how to combine those methods for solving real-world problems".
The term expert is understood in the sense of generalist and not a specialist, since this program aims at teaching a broad spectrum of modern methods.

The two-years English-taught master program "Mathematical Modeling of Complex Systems" focuses on advanced techniques of modeling, simulation and optimization. A substantial set of elective courses allows concentration on areas of individual interest. A mobility window enables the students to study abroad and gain scientific and cultural experience at international partner universities. This program uses English as medium of instruction since its graduates will enter a highly globalized work and research community. Besides that, the participation and enrollment of international candidates is explicitly welcomed.

Application oriented, interdisciplinary seminars link the theoretical basics and concepts of modeling and simulation. Students work in small teams to solve real world problems. This teamwork reflects typical work in applied sciences and corresponds to our paradigm of an "expert mastering a repertoire of methods to solve problems".

Find out more about the program and our campus in Koblenz under:
https://www.uni-koblenz-landau.de/de/koblenz/fb3/mathe/studium/mmcs/

Aims/Career Perspectives

The Master degree in Mathematical Modeling of Complex Systems is to give those possessing extended skills in Mathematics, Physics and Computer Science in theory, experiment and practical application. These skills are complemented with further knowledge in additional topics, individually selected by each student. The degree entitles its holder to exercise professional work in the field of Applied Mathematics and/or Mathematical Modeling in science or industry or to pursue a PhD program in related fields.

Program Structure

The first three terms of the two-years master „Mathematical Modeling of Complex Systems“ consist of core courses in Applied Mathematics and Applied Physics. Elective courses in Applied Mathematics, Applied Physics and Computer Sciences allow each student to set its individual focus. Active use of the gained knowledge and its application to the solution of real-world problems is taught and practiced in a project seminar. This project seminar can be carried out in a three-month period at a research institution, enterprise or at university. The master thesis in the last term and dealing with modeling and simulating a real-world problem, shows the student’s ability to perform independent research work.
The core and elective courses typically include a written or oral exam, the project seminar is graded based an oral presentation and written report of the project results.

You can find an exemplary list of courses and can download a overview of the modules under:
https://www.uni-koblenz-landau.de/de/koblenz/fb3/mathe/studium/mmcs#curriculum

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The Management of Complex Projects MSc has been designed to meet the needs of project managers responsible for the most challenging engineering projects. The programme covers the key knowledge and tools needed to deliver on time, on budget and with the required level of technical performance.

Degree information

Students gain a systems view of project management, which is effective in developing technical solutions within a constrained commercial context. We teach students a number of guiding principles to enable them to manage complex projects and help them to develop key skills such as risk management, scope management, conflict resolution and effective communication.

Students undertake modules to the value of 180 credits.

The programme consists of four core taught modules (60 credits), two research modules (75 credits), two optional taught modules (30 credits) and one compulsory group project (15 credits). Modules are generally taught as intensive five-day 'block weeks' to minimise time spent away from the office.

A Postgraduate Diploma (120 credits, full-time nine months, or flexible study two to five years) is offered. A Postgraduate Certificate (60 credits, full-time 12 weeks, or flexible study up to two years) is offered.

Core modules - the first four modules are core and must be taken, then two further taught modules should be selected.
-The Business Environment
-Delivering Complex Projects
-Risk, Reliability, Resilience
-Systems, Thinking and Engineering Management

Research Modules - all MSc students undertake a structured research programme comprising the following mandatory modules:
-Project Management Project Concept
-Project Management Research Project
-All students undertake an independent research project which culminates in a dissertation of 12,000 words and a presentation of 20-30 minutes.

Optional modules - two modules should be selected from the Optional Module List.
-Defence Systems
-Lifecycle Management
-Project Management* (leading to Association for Project Management examination)
-Rail Systems
-Spacecraft Systems
-Systems Design
-Technology Strategy

*Delivered in partnership with UCL School of Management

Group project
All students undertake a compulsory group project simulation.

Teaching and learning
The programme is delivered through a combination of lectures, case-studies, discussion sessions, workshop activity, and project work. Assessment is through a combination of course work in class tests and written examinations. The research modules are assessed through a written report and a short presentation.

Careers

Complex systems are commonplace in many branches of UK industry including rail, aerospace, defence, construction and energy sectors. The ability to manage effectively the projects that deliver such systems is crucial to these industries, and individuals who can demonstrate these skills are in high demand.

Employability
Drawing on our experience of providing short training courses for industry, such as the Project Manager Training Course for the European Space Agency, we integrate a large amount of skills development into our teaching. This includes the skills of communication, negotiation, leadership, and motivation, decision-making and managing complex, time-constrained tasks which will be invaluable in future careers.

Why study this degree at UCL?

The new degree at UCL prepares students for an exciting career in managing challenging engineering projects.

Participants gain the skills and knowledge needed to get ahead - from academic theories of conflict and motivation to practical tools for managing risk and tracking project progress.

Students will meet like-minded individuals from other industries, and through extensive group work and classroom interaction will share experiences, learn new approaches, and build contacts that will contribute to future career development.

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Our Professional Doctorate in Clinical Research (DClinRes) has been designed to meet the challenge of providing high quality clinical research training for Allied Health Professionals (AHPs), including those in leadership roles. It is a unique collaboration between Clinical Education Development and Research ( CEDAR, http://cedar.exeter.ac.uk/programmes/), Psychology and the University of Exeter Medical School.

Delivered by leading academics and practitioners, the programme aims to educate Allied Health Professionals to shift the major focus of their research activities from a tradition characterised by work which is predominantly descriptive, cross-sectional and introspective, to one which is translational, experimental, longitudinal, generalisable and implementation focussed.

The programme includes advanced training in clinical research leadership skills and organisational practice, and is underpinned by the Medical Research Council’s mixed methods Complex Interventions Research Framework. The Doctorate offers participants the opportunity to complete a Service Related Research Project linked to their area of practice allowing them to evaluate their local clinical service. In addition, participants undertake a Major Clinical Research Project related to their area of practice and aligned with the strategic aims within their local service and organisation.

The programme is based on the latest guidance for research which investigates how to develop and determine the components, efficacy, effectiveness, applicability and translational utility of complex healthcare interventions for complex interventions in medicine. It integrates investigative methods for complex interventions through a mixed methodological process of development, feasibility/piloting, evaluation and implementation.

Responding to a challenge

Our Doctorate in Clinical Research has been developed in response to a need, identified by training commissioners and professional organisations, for specific skills training within this area of the healthcare workforce.

Allied Health Professionals (AHPs) such as nurses, physiotherapists, psychologists, radiographers and occupational therapists have a critical role to play in meeting health and social care challenges at the fore of global health concerns.
These include an
• aging population,
• chronic diseases,
• and new endemics

AHPs engage in an ever widening range of activities, many of which are highly complex and take place in multiple care environments including acute medicine, chronic care facilities, community and residential care homes. Example activities include patient education programmes, the coordination and delivery of packages of psychosocial care, and support for patient self-care.

Changes in healthcare organisation internationally (e.g. short hospital periods and growing responsibility for patient self-care) are placing more healthcare in the hands of AHPs, increasing the scope and the overall need for an underpinning evidence base.

The relevance of a Complex Interventions Research Framework

The care provided by AHPs to patients is an increasingly complicated activity and can be seen as the quintessential ‘complex intervention’ – defined as an activity that contains a number of component parts with the potential for interactions between them which, when applied to the intended target population, produces a range of possible and variable outcomes (Medical Research Council, 2008).

Complex interventions are widespread throughout all of health and social care, from the apparently simple example of pharmacological treatment with its combination of biochemical, social and psychological factors influencing patient concordance and physiological response, to more obviously complex educational or psychological interventions where a multi-layered set of dynamic features have great bearing on ultimate effectiveness.

Our programmes are underpinned by the Medical Research Council’s mixed methods Complex Interventions Research Framework, which emphasises our commitment to applied research in a healthcare context.

Programme structure

Our Doctorate in Clinical Research is run part-time over four years. The taught component of the programme has been re-structured to better enable both national and international attendance. The course commences with a 5 day block of teaching in February, with the remaining pre-thesis teaching components taking place over the next 18 months in smaller block delivery. Please see the website for up to date information at http://cedar.exeter.ac.uk/programmes/dclinres/structure/.

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Summary

This is your chance to become a pioneer in co-ordinating and providing complex care to older people with multiple health conditions.
This rapidly emerging field demands highly skilled and knowledgeable practitioners and researchers to develop and evaluate new care solutions.

The programme is suitable for senior nurses, allied healthcare professionals, social care professionals, healthcare commissioners and new healthcare graduates wishing to develop their careers in older peoples’ services and global research.

Modules: Social Policy for Health and Well Being, Fundamentals of Complex Care in Older People, Advanced Complex Care in Older People, Designing, Implementing & Communicating Research, Dissertation.

Visit our website for further information...

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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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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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The revolution in genetic mapping technology and the advent of whole genome sequences have turned quantitative genetics into one of the fastest growing areas of biology.

Based in the internationally renowned Institute of Evolutionary Biology, this MSc draws from the wealth of expertise available there, as well as the teaching, research expertise and facilities of Scotland’s Rural College, the University’s Centre for Molecular Medicine, the Medical Research Council’s Human Genetics Unit and the Roslin Institute (birthplace of Dolly the sheep).

Each year the syllabus is fine-tuned to suit current issues in evolutionary, plant, human and animal genetics.

This programme forms part of the quantitative genetics and genome analysis suite of programmes offering specialist routes, which include Animal Breeding & Genetics and Evolutionary Genetics.

Programme structure

This programme consists of two semesters of taught courses followed by a research project, leading to a dissertation.

Courses are taught via lectures, tutorials, seminars and computer practicals. Assessment is by written examinations, in-course assignments and project work.

Compulsory courses:

• Population and Quantitative Genetics
• Genetic Interpretation
• Linkage and Association in Genome Analysis
• Genetics of Human Complex Traits
• Quantitative Genetic Models
• Statistics and Data Analysis
• Research Project Proposal
• Dissertation.

Option courses:

• Molecular Phylogenetics
• Bioinformatics
• Molecular Evolution
• Quantitative Genetic Models
• Functional Genomic Technologies
• Animal Genetic Improvement
• Evolutionary Quantitative Genetics

Learning outcomes

You will gain the knowledge and skills required to apply quantitative genetics theory to practical problems in the biomedical industry, and to undertake research in quantitative and population genetics and genome analysis.

• A thorough understanding of general concepts in population and quantitative genetics and genomics
• In-depth knowledge of complex trait genetics in humans
• A solid grounding in the statistical methods required for quantitative biology
• Development of independent research skills through individual mini- and maxi-research projects
• Development of generic skills (IT skills, experience in writing scientific papers, the ability to work independently)
• Presentation skills through student seminars, scientific presentation of project work and independent research projects.

Career opportunities

You will develop the in-depth knowledge and specialised skills required to apply quantitative genetics theory to practical problems, in both the biomedical and animal science industries, and to undertake research in evolutionary genetics, population genetics and genome analysis.

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The Master in Data Science for Complex Economic Systems is a one year full-time postgraduate program (II level Master Degree) taught in English and welcomes students from different disciplines (e.g. economics, physics, computer science and political science).
The Master provides theoretical and methodological tools to understand and analyse complex systems which typically exhibit nonlinear behaviour resulting from the interaction of heterogeneous agents, hierarchy and continuous innovation. These properties require exploring new visions and expanding education beyond the frontier of traditional economic studies. In addition to the standard toolkit of economics and econometrics, the program takes a path-breaking perspective on advanced analytics, including big data, machine-learning network analysis, and agent-based simulation. The Master applies this pioneering approach to modelling, management, forecasting and policymaking in innovation, urban and consumption systems.
The teaching method combines a thorough theoretical training with hands-on laboratories also in collaboration with top research centres and corporations. Our faculty is recruited from top schools (e.g. Écoles Normale Supérieure de Lyon, GREQUAM), on the international academic job market. The faculty also includes scholars from the University of Turin and the Collegio Carlo Alberto.
In addition to their coursework, students interact with the faculty, fellows, and researchers of the University of Turin and of the Collegio.
Master’s graduates can apply with full recognition of course credits for admission to the Vilfredo Pareto Doctorate in Economics (curriculum in Complexity) of the University of Turin.

APPLICATION DEADLINE:
Early applications (most welcome): March 31, 2016 - Regular applications: July 15, 2016

COURSES:
http://madas.carloalberto.org

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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.

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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This programme will provide the advancing healthcare professional wishing to study at Masters level the opportunity to learn the theory and practice of advanced skills in the management of complex lymphoedema, including the Casley-Smith technique of Manual Lymphatic Drainage.

Why this programme

-The first course will provide students with the necessary skills and the theory underpinning these and explore the evidence base. The second course will facilitate the application of these skills in more complex situations and in the context of delivering and managing a service. t will facilitate further development of skills in analysing and synthesising clinical findings and evidence for decision-making at an advanced level.
-The programme combines workplace learning with part-time attendance and on-line learning to explore and contextualise contemporary issues and the latest research evidence. It will prepare students to the level of a health care professional Band 7 Lymphoedema Advanced Practitioner as proposed in the Lymphoedema Framework Template for Management (Sneddon, 2007).
-This specialist framework is based on the Skills for Health Career Framework (2007 http://www.skillsforhealth.org.uk) and the Knowledge and Skills Framework (DoH 2004).

Programme structure

Managing Complex Lymphoedema (40 credits) and Lymphoedema Advanced Practice (20 credits) combine to give the Postgraduate Certificate in Lymphoedema Management.

Managing Complex Lymphoedema
This course provides the advancing health care professional wishing to study at Masters level, an opportunity to learn the advanced skills and knowledge required to manage patients with complex lymphoedema. The course will equip students with the necessary theory underpinning these skills and explore the evidence base and facilitate development of decision-making skills at an advanced level. Learning of theory is consolidated with workplace and on-line learning to do develop the skills of an advancing practitioner in this field

Lymphoedema Advanced Practice
This course provides the advancing health care professional, wishing to study at Masters level, with an opportunity to extend the skills and knowledge of the Managing Complex Lymphoedema course to a range of complex lymphoedema patients in the context of the most contemporary evidence and themes. The course will facilitate the application of advanced skills in more complex situations and in the context of delivering and managing a service. It will facilitate further development of skills in analysing and synthesising clinical findings and evidence for decision-making at an advanced level. Masterclasses, seminars and workshops support further development of the skills of an advancing practitioner in this field and is consolidated with workplace and on-line learning.

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This full-time course is open to international applicants only.

This unique course will advance your skills and clinical development in general dental practice providing core skills in oral health, patient challenges and dealing with complex dental cases. The course has a heavily clinically-based nature and is the only course in the UK that provides an integrated postgraduate clinical education.

The course has been designed in close collaboration with General Dental Practitioners (GDPs) to provide flexible, tailored support and will equip you with advanced knowledge and skills to provide more complex care for patients.

Aimed at experienced dental surgeons seeking personal, professional and clinical progression the course will develop your problem solving skills within a patient-focused clinical setting.

Course content

Using specially designed Case-Based Learning, you'll be able to relate your learning to a simulated clinical case, thereby embedding your newfound knowledge in a meaningful and useful way.

The programme includes:

• Content across all General Dental Practice disciplines
• High quality supervised clinical education
• Innovative Case-Based Learning materials
• Teaching in small groups
• World-leading virtual experience in our clinical rehearsal suite
• Access to advanced haptic training simulations
• Teaching by tutors who really understand the needs of general dental practitioners
• Mentoring from an experienced, practising general dental practitioner

Modules total 120 credits each year of which 40-60 credits will be clinical practice.

Year 1

This suite of modules aims to update your knowledge in new innovations and emerging evidence to provide a firm foundation on which to build your new skills.

Pillars of Oral Health (20 credits)

Takes the knowledge and application of the scientific evidence behind prevention and management of the key dental diseases to a more advanced level.

Patient Challenges (20 credits)

Expands applied knowledge of more complex and challenging patient interactions.

Managing Dental Aesthetics and the Worn Dentition (20 credits)

Will consider dental appearance and indications for restoration of tooth surface loss.

Clinical Practice

Refreshing and Refining Skills (60 credits)

The rehearsal of clinical skills will be validated before progression to management of real cases in the clinics of the Dental Institute.

Year 2

Year two develops higher level skills in more complex and challenging situations.

Oral Medicine and Oral Surgery (20 credits)

Equips you to diagnose and manage more complex oral medical and surgical issues.

Endodontics and Traumatology (20 credits)

To develop and apply a higher level of knowledge in this discipline.

Advanced Periodontology and Restorative Dentistry (20 credits)

Consideration will be given to complex issues in periodontology and restorative dentistry.

Research Methodology and Statistics (10 credits)

Prepare for the final year independent research project with this research skills module.

Clinical Practice

Developing and Expanding Skills (50 credits)

Applied knowledge gained in case-based learning modules is translated into the clinical setting.

Year 3

Year three culminates in an original independent research dissertation giving you the opportunity to explore your area of interest in-depth. There is also a Clinical Audit Project where you will be able to choose an area of practice in which you wish to undertake an audit project.

Research dissertation (40 credits)

You will undertake an individual project and so deepen their understanding of the philosophy of research, ethics and ethical approval, good practice and research methodology. You will gain experience of working within research groups with clinical and non-clinical colleagues.

Clinical Audit Project (10 credits)

Discuss how you can improve clinical practice to make a positive difference to your patients. The project includes how to plan an audit, collect different types of data and how to compile, analyse and interpret data and implement change.

Multidisciplinary Management of the Complex Case (20 credits)

This module addresses multi-disciplinary issues such as diagnosis and management of atypical facial pain and temporomandibular joint disorder (TMD).

Clinical Practice

Dealing with Complexity and Challenge (50 credits)

This module develops more complex skills in challenging situations in a supported environment.

Learning and teaching

Teaching will take place in small groups as a series of modules covering case based learning platforms and enhanced clinical education at the Leeds Dental Institute.

You will be taught by staff with a wealth of General Dental Practice experience. Learning will be tailored to General Dental Practitioners.

You will have access to our world-leading virtual learning platform including the use of the largest clinical rehearsal suite in Europe.

Assessment

You will be assessed on your ability to apply your knowledge of advanced dental practice alongside competency of performing clinical procedures.

Assessment of professional standards is a key feature and includes the submission of a “living” portfolio covering a professional development plan, 360 degree feedback, results of patient surveys and personal reflection.

Career opportunities

This unique programme includes extensive clinical experience and assessment of skills and will support your clinical development to an Advanced level. These higher level skills will be invaluable to future employers in your home country and will allow you to upskill in core competences in dentistry. 

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The School of Psychology, University of St Andrews offers two Postgraduate Distance Learning Programmes:
• Certificate/Diploma/Master Programme in Adults with Learning Disabilities who have Significant and Complex Needs. http://www.st-andrews.ac.uk/psychology/teaching/dl_complex_needs.shtml
• International Certificate Programme in Adult Support, Protection and Safeguarding. http://www.st-andrews.ac.uk/psychology/teaching/dl_safeguarding.shtml
Key issues in current practice, research, evaluation and audit are covered (Challenging Behaviour, Mental Health, Profound and Multiple Disabilities, Offenders with Learning Disabilities, Older People, Vulnerability and Abuse).
Online delivery and assessment is through the Moodle System (Modular Object-Oriented Dynamic Learning Environment.)
This is a postgraduate/post qualified programme for staff who have a degree or a professional qualification.

Features

* The School of Psychology & Neuroscience has 42 full-time academic staff, 9 technical staff, 72 research postgraduates, 18 postdoctoral researchers and 54 taught postgraduate students.

* The School has an international reputation for the quality of its teaching and research and has some of the best psychological laboratory facilities in the UK. The School of Psychology & Neuroscience has consistently been ranked one of the best research departments in the UK.

* The breadth and variety of psychology and neuroscience taught in the School are particular strengths with significant opportunities to collaborate and benefit from a range of techniques applied to understanding the behaviour of humans and animals.

* Considerable contact time with researchers occurs via tutorials and research project supervision’.

Postgraduate community

The School’s size promotes a friendly atmosphere with a crossflow of ideas while providing the depth and breadth necessary to pursue major scientific programmes at an international level. We have active links with other Schools and Departments within the University, with other Scottish universities and with research institutions outside the UK.

We have a large and thriving community of research staff and postgraduate students. We believe that good teaching and good research go hand-in-hand and we take pride in our research-based culture of teaching.

Facilities

We are equipped with modern technology to perform virtually all aspects of psychological research. Facilities include laboratories in neurophysiology, psychopharmacology, psychophysics, animal learning and cognition, cognitive psychology, developmental psychology and social psychology. We have extensive computing facilities for both online control of experiments and offline analysis of data.

Careers

We see postgraduate study as part of your long-term career development. Alongside the University’s Careers Centre (see page 26), we offer advice and support in planning your career. The School provides opportunities to gain experience of working in an academic context, by being involved in tutorials, laboratory classes and other aspects of academic work.

The vast majority of our postgraduates have gained postdoctoral and lecturing positions in universities across the world while others have jobs in healthcare (as researchers and clinicians), wildlife conservation, information technology and management services.

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This module is designed for health or social care-professionals working with people with severe and enduring mental health difficulties that have so-called “complex” care needs.

This module can help further develop your therapy skills with a focus on working with people with a diagnosis of psychosis and personality disorder. It draws upon a range of psychological therapies, including recent innovations in strengths-based cognitive behavioural therapy and ‘third wave’ or ‘contextual’ psychotherapeutic practice, acceptance and commitment therapy, schema therapy, mindfulness and principles of positive psychology.

Why Bradford?

The key to what differentiates the University of Bradford offer for specialist skills and post-registration development (SSPRD) in Mental Health practice is flexibility and quality. Bradford also seeks to be responsive and innovative in the development and delivery of its SSPRD courses to meet the continually changing demands of clinical practitioners. We now offer, for example, a new module in Aspects of Mental Health Care and Psychological Wellbeing for Health Professionals. This is specifically for health care professionals not from a mental health background to enhance their understanding of working with people’s mental health difficulties to develop and bring those skills to your clinical area.

The very latest research, policy, guidelines and best-practice are synthesized in the delivery of these courses by highly experienced clinical-academics.

For those practitioners with a firm mental health foundation we offer a postgraduate certificate in cognitive behavioural therapies in our Professional Healthcare Practice programme, co-delivered by clinicians who are the lead in their clinical area and well versed in the complexities of integrating psychological approaches into nursing practice.

Our learning materials are further informed by the Scottish Recovery Network and NHS Education for Scotland that have been at the forefront of developing this kind of clinical practice.

At the Faculty of Health Studies, University of Bradford, you can choose to study for individual modules, a named award or build module credits through the SSPRD Framework for Flexible Learning to achieve an award relevant to your professional needs.
The Framework for Flexible Learning in Health and Social Care is a Faculty-wide academic structure for Specialist Skills and Post-Registration Development. It offers students increased flexibility and choice in the modules and courses that can be undertaken and it is also responsive to employer needs. The flexibility also allows you to move from one award to another if your career changes or you take time out from regular studying. Shared teaching and research expertise from across the Faculty is offered through interdisciplinary teaching across our core research modules.

The Faculty of Health Studies is regionally, nationally and internationally recognised for its teaching and research, and works with a number of healthcare partners to ensure clinical excellence.

Modules

This module is provided as part of this interdisciplinary Framework within the Faculty of Health Studies. The Framework enables students to create an individualised programme of study that will meet either their needs and/or the employers’ needs for a changing diverse workforce within a modern organisation.

The modules and academic awards are presented in areas representing employment practice or work based or clinical disciplines.

Whilst some students can build their own academic awards by choosing their own menu of module options, other students will opt for a named academic award. The Framework also provides the option for students to move from their chosen named award to another award if their job or personal circumstances change and they need to alter the focus of their studies. The majority of named awards also offer students, the option of choosing at least one module, sometimes more, from across the Faculty module catalogue enabling them to shape their award more specifically to their needs.

Learning activities and assessment

Topics covered include:
-Collaborative Case Formulation
-Schema Therapy
-Mindfulness
-Values Based Approaches
-Strengths Focused Approaches
-Integrating Positive Psychology
-Working with Change Difficulties
-Self-Practice

Career support and prospects

The University is committed to helping students develop and enhance employability and this is an integral part of many programmes. Specialist support is available throughout the course from Career and Employability Services including help to find part-time work while studying, placements, vacation work and graduate vacancies. Students are encouraged to access this support at an early stage and to use the extensive resources on the Careers website.

Discussing options with specialist advisers helps to clarify plans through exploring options and refining skills of job-hunting. In most of our programmes there is direct input by Career Development Advisers into the curriculum or through specially arranged workshops.

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