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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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Advances in medical care and technology now mean that many more children are living with complex health care needs and life limiting illness. Read more

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.

Caring for Children and Young People with Complex Need's highlights

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.

Course Structure

The MSc programme includes two short compulsory modules, which run across three programmes that relate to childhood studies in the University, and three core modules. Further optional modules will enable students to choose a range of substantive health-related modules and provides the opportunity to choose modules from the associated programmes in the Schools of Social Science, Education and Social Work and Psychology. Students will also undertake their own research in the dissertation module.



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In today's fast-moving, global marketplace, traditional project management techniques based around strategic planning and control are not enough. Read more

In today's fast-moving, global marketplace, traditional project management techniques based around strategic planning and control are not enough. Many modern projects are not only complicated (tough technical problems needing co-ordination across many suppliers) but also complex (with unclear requirements). The new Management of Complex Projects MSc has been designed to produce project managers equipped to lead the most challenging of projects.

About this degree

Students gain a systems view of project management, so they can develop effective 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, requirements management, conflict resolution, effective communication and leadership.

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 for the flexible/modular students.

A Postgraduate Diploma (120 credits, full-time one academic year, or flexible study two to five years) is offered.

A Postgraduate Certificate (60 credits, 12 weeks or flexible study up to three years) is offered.

Core modules

The first four modules are core and must be taken, then two further taught modules should be selected.

  • Systems, Thinking and Engineering Management
  • The Business Environment
  • Risk, Reliability, Resilience
  • Delivering Complex Projects

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

  • Project Management (leading to Association for Project Management exam)
  • Lifecycle Management
  • Systems Design
  • Technology Strategy
  • Defence and Security Systems
  • Rail Systems
  • Space Systems

Group project

Students undertake a compulsory group project simulation in which they are confronted with a series of realistic project scenarios and must work together to determine and present their recommended course of action. The scenarios will build on challenges typical of complex projects such as requirements definition, risk management, scope creep and contract and conflict management.

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.

Further information on modules and degree structure is available on the department website: Management of Complex Projects MSc

Careers

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

Employability

We have an industrial advisory board including representatives from Airbus, Atkins, BAE Systems, Boeing, DSTL, Leonardo, MAATS Tech, PA Consulting, Rolls-Royce, Transport for London and Ultra Electronics. These organisations provide project support and even one-to-one careers guidance in some cases.

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 skills development into our teaching. This includes the skills of communication, negotiation, leadership and motivation, decision-making and managing multi-faceted, time-constrained tasks which will be invaluable in future careers.

Why study this degree at UCL?

Standard project management courses are no longer a differentiator. Completing this programme at one of the world's leading universities will give students a competitive edge, putting them on the fast track for a career in project or programme management.

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.

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: Space & Climate Physics

90% 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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Complex systems with a technological, biological or socio-economic background determine our everyday life. Read more

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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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. Read more

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.

Core and optional courses

Managing Complex Lymphoedema

Course 

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

Course aims and Intended Learning Outcomes

This course will provide the health care professional with the opportunity to develop the theory and practice of more advanced skills in the management of complex lymphoedema including the Casley-Smith technique of Manual Lymphatic Drainage.

By the end of this course, students will be able to:

  • demonstrate appropriate and effective application of specialist knowledge and skills in Decongestive Lymphatic Therapy and discussing the rationale for each aspect of treatment in relation to altered patho-physiology;
  • critically analyse clinical practice problems relating to patients with complicated oedema, showing the ability to synthesise information to make appropriate judgements in determining the diagnosis and developing and leading individualised treatment plans;
  • critically appraise and synthesise the evidence base for Decongestive Lymphatic Therapy;
  • critically evaluate their own practice and decision-making in relation to advanced practice in the management of people with complicated oedema;
  • exercise substantial autonomy and initiative within the context of rehabilitation and a holistic approach to care but make appropriate referrals.
  • demonstrate effective and sensitive communication and provision of patient information, based on individual needs and critical awareness of factors that may influence concordance with treatment and promotion of self-management

Lymphoedema Advanced Practice

Course 

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.

Course aims and Intended Learning Outcomes

By the end of this course, students will be able to:

  • Plan and execute adaptation of treatment plans for patients with complex lymphoedema or advanced disease in the light of recent best evidence or changes to clinical knowledge.
  • Devise and critically evaluate a multi-professional management programme for a lymphoedema patient with multi-pathology or complex needs including critical evaluation of relevant evidence and consideration of the latest techniques and innovation.
  • Critically analyse how a current clinical question could be informed by service audit or research within practice.
  • Critically evaluate the role of the lymphoedema advanced practitioner with patients with rare presentations.
  • Critically reflect on clinical practice problems and their own practice in managing complex situations and in relation to relevant literature
  • Analyse the use of ethical frameworks in managing ethical issues and the implications for practice
  • Demonstrate a wide range of effective communication techniques and an interdisciplinary approach to determining patient priorities and planning interventions to meet the patient's holistic needs


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Outline of the program. The Master PICS program provides a comprehensive program of courses covering theoretical, experimental and engineering aspects of photonics, micro/nano technologies, time-frequency metrology, information theory and complex systems. Read more

Outline of the program

The Master PICS program provides a comprehensive program of courses covering theoretical, experimental and engineering aspects of photonics, micro/nano technologies, time-frequency metrology, information theory and complex systems. It is delivered by the University of Bourgogne Franche-Comté (UBFC) in the city of Besançon. It is designed to cover a selection of topics at the interface of physics and engineering sciences, closely integrated with domains of research excellence developed in the Region of Bourgogne Franche-Comté (BFC). The master’s program also provides complementary courses in disciplinary and interdisciplinary knowledge, as well as broad digital, societal, cultural, environmental, and entrepreneurial skills. It is open to students with undergraduate physics degrees, and it aims to provide complementary courses to prepare students for careers in either industry or for future PhD level studies. The PICS masters is strongly supported by the FEMTO-ST Institute and the ICB Laboratory, research institutions with major international reputations in Physical Sciences and Engineering. The PICS Master’s program has received a national label as a Master’s of Excellence for Engineering and Research, entitled CMI (“Cursus master en Ingénierie”) which is delivered by the CMI-FIGURE network which consists of 28 universities in France.

Our Master’s program

Photonics and nanotechnologies are one of the 6 Key Enabling Technologies identified by the European Commission as sources of innovation and competitiveness for the future. They are technological sectors that feed competitive and fast-growing markets (environment, health, automotive, safety, etc.) and there is a strong need for qualified graduates to support developing European Industry.  When compared to other French Masters programs in similar fields, the particular novelty of the Masters PICS is that it focuses on teaching multi-disciplinary skills on both the practical and fundamental level in a very wide range of topics: photonics, micro and nano-optics, quantum optics, micro-nanotechnologies, instrumentation, time-frequency metrology, micro-oscillators, micro- and nano-acoustics, bio-photonics, and complex systems.  

 

The FEMTO-ST and ICB Institutes are the underlying UBFC laboratories that support the master PICS program. The FEMTO-ST Institute in Besançon (http://www.femto-st.fr/en/), with more than 750 staff, is one of the largest laboratories in France in Engineering Sciences, having high international visibility in photonics, nanotechnology and time frequency technology. The ICB Institute in Dijon (icb.ubourgogne.fr/en/), with a staff of 300 people, is also an underlying UBFC laboratory of the PICS master’s. The PICS master’s program is based on the internationally highly recognized research activities of all these laboratories in photonics, micro & nanotechnologies, time-frequency and complex systems, with teaching and supervision being performed by renowned and highly qualified researchers (professors, assistant professors, or full-time CNRS researchers).

 

The courses, taught in English (see Teaching section), are divided between lectures, exercises/tutorials, practical labs and project activities. Students will be immersed in the labs from their 1st year of study, closely connected with the research groups via lab projects that will run throughout semester 1 to 3.  Individual supervision will be provided to all students, combining a personal project advisor and a mentor. 

 

A one-semester research internship in semester 4 can be carried out at FEMTO-ST, ICB, or a local or national industry partner. Students also have the possibility to obtain significant international experience by carrying out Master’s Internships (5-6 months) abroad at internationally-renowned universities having strong research collaborations with FEMTO-ST and ICB. The proposed PICS Master’s program is also based on strong interactions with high-tech industrial partners both at the local and international levels. 

 

Teaching

The PICS master’s program takes place over 2 academic years divided into 4 semesters. Each semester corresponds to an accreditation of 30 ECTS, which leads to a total at the end of 120 ECTS.  The program has an extensive international flavor, with all courses taught in English, except two modules of 3 ECTS in semesters 1 and 3 that will introduce French culture and language for foreign students, and organized in close connection with another master’s programs. We offer the opportunity to obtain French language certification (B2 at minimum).  The teaching staff are highly qualified researchers with international recognition and all teaching staff are fluent in English, with many at native or near-native level.

Future Career prospects

Photonics and micro/nano technologies are very dynamic industrial sectors in Europe and hold the potential for huge market growth. It has a substantial leverage effect on the European economy and workforce: 20-30% of the economy and 10% of the workforce depend on photonics, directly impacting around 30 million jobs.

The master program offers intensive educational activities based on high level research activities in these domains. It focuses on fundamental & applied research mainly targeting careers in industry (R&D engineer) or for future PhD level studies either in academic institution or industry.

Student profile

Students eligible to the master PICS program must have obtained a degree equivalent to or higher than a Bachelor of Science. Background knowledge in general physics, optics, electromagnetism, electronic and quantum physics is mandatory. Candidates must have very good academic qualifications and a very good practice of English.

Living in Besançon

Besançon is a historical town with a strong university community, and is consistently voted as having an excellent quality of life. It is home to a UNESCO-World Heritage listed citadel and fortifications, and is well known for its proximity to an excellent range of outdoor pursuits including hiking, mountain-biking, skiing and rock-climbing. 

Grants

Many scholarships will be awarded each year to high quality foreign students.



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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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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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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. Read more

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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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. Read more

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 Modelling Biological Complexity MRes is designed for students who wish to develop the skills to apply mathematical, computational and physical science techniques to real biological problems. Read more

The Modelling Biological Complexity MRes is designed for students who wish to develop the skills to apply mathematical, computational and physical science techniques to real biological problems. The programme provides a broad overview of the cutting edge research at the interface of the life, mathematical and physical sciences.

About this degree

Foundation courses use innovative teaching methods for interdisciplinary research to provide essential background knowledge in mathematical, computational and physical techniques and a broad introduction to core biological concepts and systems. A range of interdisciplinary research-driven projects follow in which students gain experience of different research techniques and a range of areas of biological interest.

Students undertake modules to the value of 180 credits.

The programme consists of four compulsory modules: foundation courses module, transferable skills module (20%), three mini projects (40%) and a research (summer) project (40%).

Core modules

  • Modelling Biological Complexity: Foundation Course (non credit bearing)
  • Transferable and Generic Skills
  • Mini projects
  • Research (summer) Project

There are no optional modules for this programme.

Dissertation/report

All students undertake an independent research (summer) project, which culminates in a dissertation of up to 15,000 words, a short presentation and an oral examination.

Teaching and learning

The programme is delivered through a combination of lectures, laboratory work, case presentations, seminars, tutorials and project work. Student performance is assessed by essays, mini projects, oral and poster presentations, a computer programming and biological database task, web development, the research project and an end-of-year viva.

Further information on modules and degree structure is available on the department website: Modelling Biological Complexity MRes

Careers

After passing the MRes, students may have the opportunity to progress onto a PhD at UCL.

Employability

CoMPLEX has built upon relationships with partners within academia and industry, to develop our existing CoMPLEX programme. so that it continues to be designed specifically to provide training that meets market needs. Graduates have excellent publication outputs, this, together with CoMPLEX's international reputation means that graduates are and will continue to be recognised when entering the job market. 70% of recent graduates have taken up positions in research centres in the UK and abroad. As small number have pursued careers in science policy analysis, cyber security, science teaching, statistical and mathematical consultancy, technology consultancy, or in management and the financial sector.

Why study this degree at UCL?

CoMPLEX is UCL's centre for interdisciplinary research in the life sciences. It brings together life and medical scientists with computer scientists, mathematicians, physicists and engineers to tackle the challenges arising from complexity in biology and medicine.

CoMPLEX collaborates with 250+ supervisors from 40 UCL Departments and maintains strong links with leading UK/International research institutions, charities and industrial partners e.g. AstraZeneca, British Heart Foundation, CRUK, Francis Crick Institute, GlaxoSmithKline, Microsoft Research and Renishaw. As a result CoMPLEX students have a vast range of projects to choose from and the opportunity to network with a plethora of scientific partners.

Peer-to-peer learning is a crucial part of the training, and students will take part in cohort activities, such as, mentoring events, a seminar series, outreach groups and an annual retreat.

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.

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



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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. Read more

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.

Accreditation

Accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the further learning academic requirement for registration as a Chartered IT Professional, and on behalf of the Science Council for the purposes of partially meeting the academic requirement for registration as a Chartered Scientist and a Chartered Engineer.

Internships

As a postgraduate student on a Computing and Information Systems course, you will have the opportunity to complete up to six months of professional experience as part of your degree.

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

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

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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The Programme, entirely offered in English, prepares high-level professionals that can work in the field of the built environment, and in particular of high energy performance, low environmental impact buildings, thanks to a multi-disciplinary training and to the acquisition of specialist engineering skills. Read more

Mission and goals

The Programme, entirely offered in English, prepares high-level professionals that can work in the field of the built environment, and in particular of high energy performance, low environmental impact buildings, thanks to a multi-disciplinary training and to the acquisition of specialist engineering skills.

The Programme offers two tracks with specific characteristics:
- Architectural Engineering (offered in Lecco), giving students the ability to manage – and take part in – the integrated design process of complex construction projects;
- Building Engineering (offered in Milano Leonardo), giving students the ability to design, model and predict the physical, mechanical, and energy behaviour of complex building components and systems, services and structures.

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/building-and-architectural-engineering/

Career opportunities

The Building and Architectural Engineer is a professional that can effectively practice in complex, multi-disciplinary and multi-scale projects, and in particular in the following fields:
- design of complex new buildings, in particular in the areas of technology, structures, energy efficiency and environmental quality;

- refurbishment and retrofit of existing buildings, in particular in the areas of technology, energy upgrade and structural consolidation;

- management of the multi-disciplinary, multi-scalar design process, with the help of specific design and information tools;

- technological innovation of building components and systems;

- advanced performance modelling of complex building components and systems, services and structures;

- management of global performances, with the goal of reducing the environmental impact of buildings.

More information on the programme website: http://www.ccsarcheng.polimi.it/

Presentation

See http://www.polinternational.polimi.it/uploads/media/Architectural_Engineering_Lecco.pdf
This track of the Master of Science in Building and Architectural Engineering trains Architectural Engineers that can manage and take part in the integrated design process of complex construction projects. An interdisciplinary approach to design and construction, and the related teamwork, are widely recognized as the essential tools to deliver buildings with high performances, reliable sustainability credentials, and a balanced life cycle cost.
The Architectural Engineer is a professional ready to work in complex, multidisciplinary and multi-scalar projects. The programme trains students through two parallel approaches:
- Giving them the tools, from the fields of both engineering and architecture, to be
effective members of design teams;
- Involving them in integrated studios where they can apply the principles of
integrated design to specific projects.

The programme prepares students to approach, among others, the fields of multiscale energy-efficient design, innovative construction technology and refurbishment of existing buildings, with a strong focus on the different scales of intervention (from the city and territory to the building and construction components). The programme is also strongly rooted in the European and Italian tradition which has created cities and buildings celebrated worldwide.

Subjects

- Architectural Design
- History of Architecture
- Building Physics
- Building Services
- Conservation
- Integrated Project Management
- Refurbishment and Energy Retrofit
- Structural Design
- Sustainable Building Technologies
- Sustainable Multidisciplinary Design Process
- Urban Design

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/building-and-architectural-engineering/

For contact information see here http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/building-and-architectural-engineering/

Find out how to apply here http://www.polinternational.polimi.it/how-to-apply/

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The PGDip/MSc in Adults with Learning Disabilities is a part-time distance learning course run by the School of Psychology and Neuroscience. Read more

The PGDip/MSc in Adults with Learning Disabilities is a part-time distance learning course run by the School of Psychology and Neuroscience. The Postgraduate Diploma must be completed within one calendar year from October to September. The focus is on research, and students will learn the skills of a research practitioner.

For those progressing on to the MSc, you will spend an additional year researching and writing a 15,000-word dissertation. Students apply the knowledge and research skills gained in the PG Diploma to carry out research that will benefit the quality of service, care and life of adults with learning disabilities.

Highlights

  • The online open learning materials are written in an interactive style and are designed to encourage students to use their own workplace experiences as a basis for new learning and development of research skills.
  • Students have full electronic access to the University of St Andrews library resources, including full text journals and other online resources.

Teaching format

The course is delivered via online modules through the University of St Andrews Dynamic Learning Environment. Students will have access to research publications, electronic databases and the University's library resources.

Over the course of the year, students will take six compulsory modules. It is not possible to enrol for individual modules at the Postgraduate Diploma level. Typically, each module is completed within two months and requires 100 hours of total study time, including completion of assessments. Module teaching materials are delivered online where students will have access to additional reference materials.

Students complete assessments online. The taught modules are continuously assessed through coursework, which students submit online. Coursework assessment includes multiple choice questions, short answer assignments, reference searches, and analysis of published research as well as developing a full research proposal. There is no final exam for the course.

University tutors are available for support via email and telephone.

Further particulars regarding curriculum development.

Modules

Each module typically comprises:

  • guided online teaching and learning materials
  • 100% coursework assessment.

For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.



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A University of Hertfordshire research degree is an internationally recognised degree signifying high levels of achievement in research. Read more
A University of Hertfordshire research degree is an internationally recognised degree signifying high levels of achievement in research. It develops extensive subject expertise and independent research skills which are honed over an extended period, depending on the level of the award. You would undertake a substantial, original research project for the duration of the degree, under the supervision and guidance of two or more academic members of staff. Your supervisory team provides guidance both in the selection of a research topic and in the conduct of the research. You are also supported by attendance at postgraduate seminar series to develop subject specific knowledge and research skills relevant to your field of research. The degree is assessed solely on the basis of the final research output, in the form of a substantial written thesis which must be "defended" in a viva. During the course of the degree, you would be given opportunities to present your work at major conferences and in refereed research publications.

Why choose this course?

-An internationally recognised research qualification
-Developing advanced subject expertise at postgraduate level
-Develop research skills through practice and extensive research experience
-Employers are looking for high calibre graduates with advanced skills who can demonstrate independence through research

Careers

Graduates with this degree will be able to demonstrate to employers a highly-valued ability to work independently on a substantial and challenging original project and to maintain that focus over an extended period, and will have developed much sought after, highly refined research skills.

Teaching methods

Research degrees are not taught programmes, however, programmes of supporting studies are a key element.

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