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Masters Degrees (Agent Based)

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Ranked 2nd in the UK by Research Fortnight, our geomatics research is ground breaking. We publish in leading international journals, at conferences, in the media and through educational outreach programmes. Read more
Ranked 2nd in the UK by Research Fortnight, our geomatics research is ground breaking. We publish in leading international journals, at conferences, in the media and through educational outreach programmes. Whether focusing on geodesy or geospatial engineering, you will work with experts to produce research of an international standard.

The School of Civil Engineering and Geosciences enjoys an international reputation for using the latest science to solve problems of global importance. Our research has significant relevance in non-academic settings and we regularly apply it through consultancy to industry, from the global offshore industry to local authorities and survey and engineering companies. We are a key part of the TSB Satellite Applications Catapult North East Centre of Excellence.

For geomatics we have MPhil and PhD supervision in the following areas:

Satellite geodesy

-GPS and geophysical modelling
-GPS/GNSS geodesy
-Precise orbit determination of altimetric and geodetic satellites
-Sea level
-Ice sheet mass balance
-Satellite altimetry
-Static and temporal gravity field and reference frame analyses from dedicated satellite missions
-SAR interferometry
-Geophysical and industrial deformation monitoring
-Geodynamics and geohazards
-Integration of GPS and INS
-Engineering geodesy

Geospatial Engineering

-Geoinformatics and advanced GIS
-Geospatial algorithm development
-Spatial modelling including network modelling, cellular automata and agent based approaches to spatial complexity
-Multimedia cartography and information delivery
-Temporal GIS
-Geospatial data management
-Airborne and satellite remote sensing applied to environmental impact assessment
-Land use, vegetation and pollution monitoring
-Earth observation of urban systems
-Photogrammetry
-Laser scanning
-Precise non-contact dimensional control

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The financial crisis and global recession have triggered a search for new perspectives in economics training that can deal with the challenges posed by highly interconnected and globalised financial and industrial organisations. Read more
The financial crisis and global recession have triggered a search for new perspectives in economics training that can deal with the challenges posed by highly interconnected and globalised financial and industrial organisations. Our course provides a revolutionary way to address the many issues raised in macroeconomics and financial regulation.

By using a multi-agent computational and simulation modelling approach to complement your work in statistics and econometrics, you investigate a wide array of economic phenomena that can also aid in policy design. You will be given laboratory based instruction to build a range of agent based models that include systemic risk analysis with financial networks and market micro-structure of stock markets.

We are top 5 in the UK for research, with over 90% rated as “world-leading” or “internationally excellent”. Much of this world-class research is related to policy, and we have particular strengths in the areas of:
-Game theory and strategic interactions
-Theoretical and applied econometrics
-Labour economics

The quality of our work is reflected in our stream of publications in high-profile academic journals, including American Economic Review, Econometrica, and Review of Economic Studies.

Professional accreditation

Our University is one of only 21 ESRC-accredited Doctoral Training Centres in the UK.

This means that our course can form part of a prestigious 1+3 funding opportunity worth up to £21,575.

Our expert staff

Study and work alongside some of the most prominent economists of our time.

Our researchers are at the forefront of their field and have even received MBEs, with students coming from across the globe to study, research or work with us.

Many of our researchers also provide consultancy services to businesses in London and other major financial centres, helping us to develop research for today's society as well as informing our teaching for the future.

Specialist facilities

Take advantage of our wide range of learning resources to assist you in your studies:
-Extensive software for quantitative analysis is available in all computer labs across the university
-Access a variety of economics databases and multiple copies of textbooks and e-books in the Albert Sloman Library

Your future

After completing your masters, you may wish to extend your knowledge with a research degree – many Essex graduates decide to stay here for further study.

Alternatively, our course also prepares you for employment; recent surveys have shown that higher degree graduates are more likely to obtain jobs at professional or managerial level.

Our course has a strong policy orientation and operational content. It will appeal to those aiming to pursue careers in regulatory institutions, financial modelling, the civil service and real-world problem solving, or would also be an excellent stepping stone for those wishing to progress into further research.

Our graduates find employment in roles such as business and financial analysts, management consultants, government officials, and economists for banks and other financial organisations.

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

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Computer science has permeated every aspect of our lives. Our innovative MSc course is driven by our cutting-edge interdisciplinary research, which puts our students at the forefront of the discipline. Read more
Computer science has permeated every aspect of our lives. Our innovative MSc course is driven by our cutting-edge interdisciplinary research, which puts our students at the forefront of the discipline.

The course enables you to develop the skills needed by professionals in many areas of applied computer science, from bioinformatics and adaptive systems to multimedia and high performance computing. In addition to studying a core curriculum, you can choose from a range of optional modules to suit your interests.

Throughout the course, you’ll benefit from our ever-growing partnership with national and international industry. You’ll learn from industry experts’ first-hand experience, broadening your career-based skillset and enhancing your employability. Recent graduates have secured prestigious employment in areas
such as the growing industrial and financial HPC market, but the course also provides a strong foundation for further research.

Course Content

As one of the most established departments in the UK, our focus is on the principles and underpinnings of computer science, an understanding of which will ensure you are able to adapt to change and new developments throughout your career. This long-term view is a key reason why our courses enjoy enduring success with many of the world's foremost employers.

The course has two components - a taught component and a dissertation. The taught component will allow you to acquire expertise and industrially relevant technical skills in cutting edge areas of computer science, including agent based systems, high performance systems, game theory and bioinformatics, as well as experience of project management, academic writing and scientific method.

The taught component is complemented by a dissertation project, undertaken primarily in the second half of your course, which offers the opportunity to specialise and explore areas of interest in greater depth. Your dissertation may be entirely research focussed or directed towards the application of advanced topics. Crucially, there is always scope for commercial support from a wide range of industrial partners, giving you the chance to establish industrial links during your course.

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Our Dementia Care course is a pathway of our MSc in Advanced Practice Interventions for Mental Health (APIMH) and has been designed to respond and contribute to the modernisation of mental healthcare delivery and service design. Read more

Our Dementia Care course is a pathway of our MSc in Advanced Practice Interventions for Mental Health (APIMH) and has been designed to respond and contribute to the modernisation of mental healthcare delivery and service design. It is aimed at existing health and social care professionals and others involved in dementia care.

Service development and evidence-based guidelines continuously highlight the need for multidisciplinary, multi-agency dementia care services that are accessible, flexible, inclusive and enabling, and are driven by the needs of clients and their families.

It is vital that these services are developed and delivered by staff appropriately prepared with relevant expertise, knowledge and skills.

Our part-time multidisciplinary and practice-focused course will equip you with the advanced knowledge and skills you need to provide high-quality, evidence-based interventions that promote the wellbeing, personhood and empowerment of people living with dementia and their significant others.

It will also enable you to act as an agent of change by contributing to research, service development and leadership in dementia care.

Special features

Learn from the experts

You will learn from internationally renowned experts in the field, as well as experienced dementia care practitioners, people living with dementia and former students, many of whom now operate at senior levels within dementia care services.

Flexible learning

The part-time nature of this course enables you to fit learning around your other commitments, with one day a week to be spent on campus.

Teaching and learning

You will participate in a range of teaching and learning methods including lectures, small-group work, student-led seminars, group-work, problem-based learning scenarios and online learning.

You will undertake independent study to further develop and consolidate your learning. We aim to involve people with dementia and their families in the delivery of sessions where possible.

Coursework and assessment

A variety of assessments are used within each course unit and across the course as a whole. All assessments require you to integrate knowledge and understanding and apply this to your own area of practice as relevant to the outcomes of each unit and the focus of each pathway.

Assessment methods may include essays, case studies, assessed seminar presentations and literature reviews.

The dissertation for the MSc requires you to undertake an extended written piece of work (12,000-15,000 words) that focuses on a specific aspect of mental health practice in the form of an extended literature-based review/proposal for practice development.

Course unit details

The course consists of pathway-specific and core/compulsory course units. Pathway-specific units focus on the following themes:

Year 1

  • Perspectives on Dementia
  • Communication Through Person Centred Practice
  • Dementia & Social Inclusion
  • Critical Appraisal & Evidence Synthesis

Year 2

Core course units are shared with students studying other pathways and courses, but retain a pathway-specific focus through group work and assessments. Core course units focus on the following themes:

  • Research Design (15 credits)
  • Evidence Based Practice in Dementia Care
  • Working effectively with crisis and complexity in dementia care
  • Developing practice, managing change

On completion of the taught units of the course (PGDip), successful students who meet progression requirements are able to continue onto their research dissertation for the MSc.

The dissertation enables students, with the support of an individual supervisor, to undertake an extended written piece of work which focuses on a specific aspect of Mental Health Practice in the form of an extended literature based review/proposal for practice development.

Facilities

You will be able to access a range of  facilities  throughout the University.

Disability support

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

Career opportunities

This course will give you the skills and knowledge you need to enhance your own and others' practice, as well as contribute to innovations and developments in dementia care and service delivery.



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The MA in Arts Management, Policy and Practice enables students to develop their knowledge and understanding of the history, theory and practice of arts management; to gain an insight into the range of professional opportunities in the creative and cultural sector; and to acquire direct experience of the many areas of arts management. Read more

The MA in Arts Management, Policy and Practice enables students to develop their knowledge and understanding of the history, theory and practice of arts management; to gain an insight into the range of professional opportunities in the creative and cultural sector; and to acquire direct experience of the many areas of arts management. The programme has a strong practical, hands-on element. At the same time it offers a solid theoretical grounding, exploring cultural policy in its historical context and encouraging critical engagement with the philosophical, political, social and economic imperatives informing contemporary practice. Above all, we aim to produce pioneers rather than bureaucrats.

Lecturers from the Centre for Arts Management teach the MA with considerable input from arts professionals including staff from the Martin Harris Centre, Contact Theatre, the Royal Exchange, Whitworth Art Gallery and many other local cultural organisations. We also work closely with our sister programme, the highly regarded MA in Art Gallery and Museum Studies.

Aims

The programme is designed to serve as an entry-level qualification for recent graduates as well as offering professional development for mid-career practitioners. It offers flexibility and opportunities for specialisation, while ensuring a thorough grounding in essential principles and methodology. It provides a solid foundation for careers in different areas of the arts and creative industries, and caters for arts practitioners as well as aspiring managers.

Special features

The siting of the programme close to a range of leading arts venues offers a unique opportunity for students to engage with the practical considerations of arts management. The Martin Harris Centre is a hub of cutting edge research and interdisciplinary investigation: in addition to the Cosmo Rodewald Concert Hall and John Thaw Theatre, it is home to the Tipp Centre (Theatre in Prisons and Probation), the Centre for Screen Studies, Centre for Applied Theatre Research, Manchester Theatre in Sound (MANTIS), Manchester Centre for Music in Culture (MC2), and the NOVARS Research Centre for Electroacoustic Composition, Performance and Sound-Art. Other cultural organisations based at the university - Manchester Academy, Contact Theatre, Manchester Museum and the Whitworth Art Gallery - are only a few minutes' walk away.

The programme also benefits from the exceptionally rich grouping of arts-based institutions and agencies in Manchester and the North West - an area celebrated for containing more theatres than any other region outside London and now hosting the BBC at the new Media City at Salford Quays. Liverpool (European Capital of Culture 2008), Leeds and Sheffield are all within easy reach. A wide range of regional arts venues and organisations contribute to the programme by providing guest lecturers, site visits and work placements.

The programme is based within the School or Arts, Languages and Cultures. The core of the School's interest is the field of human cultures, beliefs and institutions. Its work embraces the material, visual, creative and performative dimensions of culture, and as such fosters a rich interdisciplinary culture led by world-renowned scholars with a diversity of expertise, from analysts to creative artists, from historians of ideas to cultural theorists. We work particularly closely with staff from the highly-rated departments of Music and Drama.

Coursework and assessment

All students take two core modules (Arts Management: Principles and Practice, and Cultural Policy) and write a dissertation (15,000 words, or for a practice-based dissertation 8,000-10,000 words plus project documentation). The remaining credits (two or three additional modules) are taken from a range of options including:

  • Work Placement in an arts organisation
  • Business Strategies for the Arts (Marketing, Finance and Business Planning)
  • Creative Learning: Arts, Heritage and Education
  • Professional Practice Live Project
  • Subject to availability, modules may also be selected from the MA in Art Gallery and Museum Studies or from elsewhere in the school.

All modules include a programme of guest lectures and/or practical seminars by experienced professionals based in cultural institutions in and around Manchester. The programme also features visits to a selection of key sites and venues in the North West.

Disability support

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

Career opportunities

This programme prepares graduates for a diverse range of career opportunities as managers, administrators, policy-makers or practitioners in various branches of the arts and cultural and creative industries. Opportunities exist in the public, private, and voluntary sectors; in theatres, opera houses, concert halls, arts centres, museums and galleries, and the media; with orchestras, theatre companies, dance companies, etc.; or with the Arts Council, British Council, Local Authority, Tourist Board and various funding bodies. Discrete posts include: programming manager; marketing director; education director; development or outreach officer; tour organiser; promoter, agent or artist's manager; website, database or IT manager; producer; consultant or market researcher; fundraiser; community artist; freelance workshop leader. Graduates may also find work in related areas such as teaching, social and educational work. Some students go on to pursue further study and research at doctoral level.



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This new, innovative skills focused course has been designed to equip practitioners with the knowledge and competence to work collaboratively with service users with a serious mental health problem, using evidence-based interventions. Read more

This new, innovative skills focused course has been designed to equip practitioners with the knowledge and competence to work collaboratively with service users with a serious mental health problem, using evidence-based interventions.

The Postgraduate Diploma (PgDip) comprises of 120 academic credits at Level 7. The flexible nature of this course means you can choose an acute or longer term focus to your studies, making it relevant to the practice area you work in.

The course is delivered by a practicing and highly experienced Mental Health Lecturer Practitioner, ensuring clear integration of theory to contemporary practice. The design of this course allows you to work in your own clinical area and enhance and develop your clinical competence through supervised work with mental health service users and families/carers.

The course is THORN accredited. THORN has been identified as the 'Gold Standard' training course for multi-disciplinary mental health professionals. The course is designed to enable you to become a change agent and champion, actively incorporating evidence-based practice into routine service provision, through your own and others' work.

Modules

• Assessment and Case Formulation L7 – 20 credits

• Family Intervention L7 – 20 credits

• Medication Management and Physical Wellbeing L7 – 20 credits

• Evidence Based Psychosocial interventions for Psychosis L7 OR Brief Interventions in Acute Mental health Care L7 – 20 credits

• Practice Based Innovation Project L7 - 40 credits

Career and study progression

On successful completion of the course practitioners report an increase in knowledge, clinical expertise and confidence in providing a range of evidence-based interventions. The range of interventions covered during the course will enable you to work in a variety of services accessed by mental health service users.

Further Study:

You could consider a variety of other courses and modules provided by the College of Nursing, Midwifery and Healthcare:

- PgCert/PgDip/MSc Professional Practice (Complex Mental Health Needs)

- MSc Advanced Practice (Mental Health)

- PgCert Independent and Supplementary Prescribing

How to apply

Click the following link for information on how to apply to this course.

Scholarships and bursaries

Information about scholarships and bursaries can be found here.



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This new, innovative skills focused course has been designed to equip practitioners with the knowledge and competence to work collaboratively with service users with a serious mental health problem, using evidence-based interventions. Read more

This new, innovative skills focused course has been designed to equip practitioners with the knowledge and competence to work collaboratively with service users with a serious mental health problem, using evidence-based interventions.

The MSc comprises of 180 academic credits at Level 7. The flexible nature of this course means you can choose an acute or longer term focus to your studies, making it relevant to the practice area you work in.

The course is delivered by a practicing and highly experienced Mental Health Lecturer Practitioner, ensuring clear integration of theory to contemporary practice. The design of this course allows you to work in your own clinical area and enhance and develop your clinical competence through supervised work with mental health service users and families/carers.

The course is THORN accredited. THORN has been identified as the 'Gold Standard' training course for multi-disciplinary mental health professionals. The course is designed to enable you to become a change agent and champion, actively incorporating evidence-based practice into routine service provision, through your own and others' work.

Modules

• Assessment and Case Formulation L7 – 20 credits

• Family Intervention L7 – 20 credits

• Medication Management and Physical Wellbeing L7 – 20 credits

• Evidence Based Psychosocial interventions for Psychosis L7 OR Brief

• Interventions in Acute Mental health Care L7 – 20 credits

• Practice Based Innovation Project L7 - 40 credits

• Research Methods L7 – 20 credits

• Dissertation L7 – 40 credits

Career and study progression

On successful completion of the course practitioners report an increase in knowledge, clinical expertise and confidence in providing a range of evidence-based interventions. The range of interventions covered during the course will enable you to work in a variety of services accessed by mental health service users.

Further study:

You could consider a variety of other courses and modules provided by the College of Nursing, Midwifery and Healthcare:

- PgCert/PgDip/MSc Professional Practice (Complex Mental Health Needs)

- MSc Advanced Practice (Mental Health)

- PgCert Independent and Supplementary Prescribing

- MPhil/ PhD Research Degrees

- Professional Doctorate

How to apply

Click the following link for information on how to apply to this course.

Scholarships and bursaries

Information about scholarships and bursaries can be found here.



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The M.S. in Criminal Justice trains individuals through an interdisciplinary focus in an online environment. The program prepares students through the core curriculum and allows for specialty training through various concentrations. Read more

The M.S. in Criminal Justice trains individuals through an interdisciplinary focus in an online environment. The program prepares students through the core curriculum and allows for specialty training through various concentrations.

This facilitates choice for students and fosters the development of specialized expertise. Students will complete the thirty hour program that includes core courses, specialty concentrations, and electives.

Proudly Offering the Valor Award 20% Scholarship for Law Enforcement, Veterans, Military, and First Responders

This program is designed for individuals looking for careers in or as:

  • Police Officer
  • County Sheriff / Deputy Sheriff
  • State Trooper / Highway Patrol Officer
  • Game Warden / Conservation Officer
  • Detective
  • Canine Officer / K9 Handler
  • Animal Cruelty Investigator
  • Park Ranger
  • FBI Special Agent
  • DEA Agent
  • Secret Service Special Agent
  • ICE Special Agent
  • Federal Air Marshal
  • Correctional Officer
  • Correctional Counselor
  • Parole Officer
  • Legal Assistant or Legal Researcher
  • Bailiff
  • Pre-trial Officer
  • Loss Prevention Officer - Loss Prevention Manager
  • Bounty Hunter - Bail Enforcement Agent
  • Public Safety Officer
  • Community Liaison Officer

To see a complete list of possible career options, click here.

Program Format

The master's program is offered entirely online. The online format allows for students to participate in courses from anywhere in the world where internet access is available. In addition, it allows for the flexibility of completing your master's degree without interrupting your career. For information on the online/residential bachelor's program, click here. For information on the online doctoral program, click here.

Master's students are provided NSU computer accounts including email and Blackboard, but must obtain their own Internet service providers, use their own computer systems and have a usable web camera. Online students use the web to access course materials, announcements, email, distance library services, subscription library databases, and other information, and for interaction with faculty and fellow students. Online, interactive learning methods are based on the use of Blackboard as a course management system. Online activities facilitate frequent student-to-faculty and student-to-student interaction. They are supported by threaded discussion boards, white boards, chat rooms, email, and multimedia presentations. In addition, Blackboard enables students to submit assignments online in multimedia formats and to receive their professors' reviews of assignments online in the same formats.

Curriculum

The Master's program is comprised of 30 credits. The core curriculum is comprised of five courses (15 credits) and one elective course (3 credits). The specialty concentrations are comprised of four courses (12 credits).

Core Courses (15 Credits)

  • CJI 0510 Survey Issues in Criminal Justice (3 credits)
  • CJI 0520 Social Administration of Criminal Justice (3 credits)
  • CJI 0530 Legal Issues in Criminal Justice (3 credits)
  • CJI 0540 Program Evaluation in Criminal Justice (3 credits)
  • CJI 0550 Investigative Processes (3 credits)

Specialty Concentrations (12 Credits)

Students must choose one concentration below and complete 12 credits within the concentration. (The concentrations remain the same)

Electives (3 Credits)

Students must choose one or a combination of electives below to obtain a total of 3 credit hours.

  • One, three (3) credit class
  • Practicum Placement (3, 6, or 9 Credit options)
  • Master's Thesis (6 Credits)


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The MSc in Computational Finance will introduce students to the computational methods that are widely used by practitioners and financial institutions in today's markets. Read more

The MSc in Computational Finance will introduce students to the computational methods that are widely used by practitioners and financial institutions in today's markets. This will provide students with a solid foundation not only in traditional quantitative methods and financial instruments, but also scientific computing, numerical methods, high-performance computing, distributed ledgers, big-data analytics, and agent-based modelling. These techniques will be used to understand financial markets from a post-crisis perspective which incorporates findings from the study of financial markets at high-frequency time scales, modern approaches to understanding systematic risk and financial contagion, and disruptive technologies such as distributed-ledgers and crypto-currencies. The programme is highly practical, and students will have the opportunity to apply their learning to real-world data and case studies in hands-on laboratory sessions.

Key benefits

  • An understanding of modern financial technology (FinTech) including electronic trading and distributed-ledger technology.
  • Practical hands-on techniques for working with and analysing financial data, which draw on modern developments in Artificial Intelligence and Big Data technology.
  • The opportunity to understand the practical aspects of quantitative finance and FinTech from Industry experts located in the heart of one of the World’s financial centres.

Description

Computational Finance studies problems of optimal investment, risk management and trade execution from a computational perspective. As with any engineering discipline, computational finance analyses a given problem by first building a model for it and then examining the model. In computational finance, however, our model is typically analysed by running computer programs, rather than solving mathematical equations. In addition to standard computational methods such as Monte-Carlo option pricing, you will also learn more advanced modelling techniques such as agent-based modelling, in which the model itself takes the form of a computer program.

The programme will provide a foundation in the core skills required for successful risk management and optimal investment by giving a grounding in the key quantitative methods used in finance, including computer programming, numerical methods, scientific computing, numerical optimisation, and an overview of the financial markets. You can then go on to study more advanced topics, including the market micro-structure of modern electronic exchanges, high-frequency finance, distributed-ledger technology and agent-based modelling.

Career prospects

Students are expected to go in to careers such as Investment Banking, Hedge Funds and Regulatory Bodies.  



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This course takes an immersive approach to learning both the principles and practices of computer systems with much of the material based around examples and practical exercises. Read more
This course takes an immersive approach to learning both the principles and practices of computer systems with much of the material based around examples and practical exercises. Students completing this course will have a firm grasp of the current practices and directions in computer systems and will be able to design and build for example, distributed systems for the Web using Internet, Intranet and other technologies.

Programme Objectives
To provide the foundations for understanding of core ideas, methods and technologies in computer science.
To provide the technical skills and background material so that the postgraduate will be able to conduct a near state-of-the-art research or development project;
To provide the graduate with a range of specialist and transferable skills;
To provide the educational base for further professional development and lifelong learning.
Course Topics
Data networks and communications, project foundations and management tools, broadband communication systems, technologies for Internet systems, agent technologies and Artificial Intelligence, introduction to distributed systems and mobile systems, project and dissertation.

Taught Modules:

Java programming: This module provides students with an in-depth understanding of current and emerging Java programming concepts and programming variations. The module teaches the basic and advanced structures of Java and makes use of the object-oriented approach to software implementation. It also gives an in-depth understanding of advanced Java concepts in the area of user interfaces and will enable students to apply the theoretical knowledge of the Java language onto a test-case software development scenario.

Introduction to distributed systems: This module will introduce key ideas in distributed Systems and its role and application in operating systems and middleware. On completion of this module students will have an understanding of the key issues for distributed systems at OS level or as middleware, they will understand core concepts of concurrency, be able to program multithreaded and distributed applications and understand the issues and use of algorithms for transactional systems.

Data networks and communications: This module will provide an in-depth understanding of how real communication networks are structured and the protocols that make them work. It will give the students an ability to understand in detail the process required to provide an end-to-end connection.

Technologies for Internet Systems: In this module, students will be introduced to state of the art technologies and tools for Internet Systems and in particular e-commerce systems.

Agent Technologies: This module provides an in-depth understanding of technologies from Artificial Intelligence research such as machine learning, data mining, information retrieval, natural language processing, and evolutionary programming. It will look at the application of agent-oriented technologies for Artificial Life, for building Web search engines, for use in computer games and in film (such as the MASSIVE software developed for the Lord of the Rings movies), and for robotics. It will also provide an introduction to agent-oriented programming using the NetLogo programming language.

Foundations of computer graphics: This module will teach techniques, algorithms and representations for modelling computer graphics and enable students to code 2D and 3D objects and animations.

Database systems: Students completing this module will gain an in depth understanding of DBMS/Distributed DBMS architecture, functionality, recovery and data storage techniques. Students will also have a full understanding of how queries are processed and the importance of database maintenance. This module is designed to enable students to perform research into one or two areas of databases; for example, object oriented databases and deductive databases.

Project foundations and management tools: This module prepares students for their MSc research project, including reference search and survey preparation and familiarisation with project management tools.

MSc Research project: After the successful completion of the taught component of the MSc programme, students will spend the remainder of the time undertaking a research project and producing an MSc Dissertation. During this process, students will conduct project work at state-of-the-art research level and to present this work as a written dissertation. Completing a project and dissertation at this level will train students in: problem solving; researching new topics; organizing knowledge; exercising elementary time and project management skills; reporting and writing skills.

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The increasing integration of technology into our lives has created unprecedented volumes of data on everyday social behaviour. Read more

The increasing integration of technology into our lives has created unprecedented volumes of data on everyday social behaviour. Troves of detailed social data related to choices, affiliations, preferences and interests are now digitally archived by internet service providers, media companies, other private-sector firms, and governments. New computational approaches based on machine learning, agent-based modelling, natural language processing, and network science have made it possible to analyse these data in ways previously unimaginable.

This is a chance to develop skills in computational techniques alongside a strong grounding in the principles and practice of contemporary social research. The programme’s quantitative methods training will help you harness complex data and use them to explore social theories and fundamental questions about societies. The programme’s theoretical and substantive training will introduce you to the principles of social inquiry and theories of human behaviour, and help you apply your technical skills to pressing social issues such as ethnic segregation in schools, income inequality, entrepreneurship, political change, and cultural diffusion.

Programme structure

During your first year you gain perspectives on the philosophy of social science, primers in the science of human decision-making, and frameworks for connecting individual behaviours to outcomes in social systems. You will also learn to apply advanced computational methods–including discrete choice modelling, social network analysis, agent-based simulation, and machine learning—to draw inferences about micro-level behaviours and macro-level outcomes.

With these building blocks in hand, you spend the third semester assembling critical knowledge of key theories and contemporary research in areas relevant to academic social science, government, and industry. During the third semester, you also have the option to study abroad at a partner institution.

In the final semester, you integrate the knowledge, skills, and theoretical approaches garnered in the first three semesters by writing a master’s thesis. As part of your thesis you conduct your own, original, computational research addressing a social scientific topic of your choosing.



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The MSc in Social Work is intended to provide a programme of postgraduate study in social work leading to registration with the Scottish Social Services Council. Read more
The MSc in Social Work is intended to provide a programme of postgraduate study in social work leading to registration with the Scottish Social Services Council.

In the first two semesters students are orientated towards the programme design and philosophy; introduced to practice learning and core social work skills; given a grounding in the legal framework of social work practice; and given the opportunity to develop and test out their learning skills in preparation for the remainder of the programme. The remaining time on the programme will be structured according to individual student's needs and available learning opportunities. Students will be given full opportunity to learn in and about diverse practice settings and with a range of client groups.

Learning will build around a series of assessment tasks, which will enable students to make direct connections between the various knowledge and skills components of social work practice in real practice contexts.

Why study Social Work at Dundee?

The MSc in Social Work is delivered within the School of Education, Social Work and Community Education. This reflects the multi-disciplinary context in which social work operates as a profession.

The aims of the programme are to equip our graduates to:
Work with individuals, families, groups, organisations and communities
Function as an agent of change
Work for social justice
Act with a strong professional identity
Practise as accountable and autonomous professionals
Operate with confidence within their sphere of competence
Identify the need for and plan on-going professional development for themselves and their colleagues
Function competently in multi-disciplinary teams and settings
Practise in partnership with service users and carers
Demonstrate competence in all key roles of the Standards in Social Work Education

Carers and Users Group

The social work discipline has one of the longest standing and most innovative Carers and Users groups connected to the programme.

This will provide you with crucial perspectives and experiences of service users and carers in the delivery and development of the programme.An example of this is the award winning 'Community Care and the Caring Experience' module which offers you a unique opportunity to develop a relationship with a career in order to examine and reflect upon the experience of caring and being cared for.

What's so good about Social Work at Dundee?

Research-led teaching:
"The strength of your department and teaching really is something very special. I have studied at the University before, but I have never experienced such commitment and passion in one group of people, and I feel truly privileged to have been a part of it."
Rebecca Laing - MSc in Social Work Student 2013

Professional accreditation:
The MSc in Social Work is professionally accredited by the Scottish Social Services Council (SSSC).

Practice learning opportunities

The programme has links with a broad range of excellent agencies across the statutory, voluntary and private sectors. This provides students with exceptional practice learning opportunities.

Due to the geographical location of the University, you will be able to take advantage of practice learning opportunities across a range of locations including Dundee, Perth, Fife, Angus and Edinburgh. This adds a depth and richness to the opportunities available and broadens the networks that students can establish during their time on the programme.

Who should study this course?

This programme is intended for students who wish to qualify and register as a social worker with the Scottish Social Services Council and who wish to study on an innovative and engaging Master's level programme.

"There isn't a 'typical' undergraduate degree and work experience path that leads to the MSc in Social Work and so students bring a diverse range of knowledge and experience. What this means for me as a tutor is the opportunity to work with a diverse range of students and help them realise their academic and inter-personal potential."
Ann Hodson – Lecturer in Social Work, 2014

How you will be taught

The programme combines periods of campus based learning and practice learning within social work related agencies. The programme is built on adult learning principles and you will be encouraged to make links with the experience, knowledge and skills that you bring to the programme. Students are expected to be able to be self-directed in their learning whilst benefitting from the support and contributions of academic staff, professional partners and service users and carers.

The curriculum is delivered through a range of teaching and learning methods including:
Taught inputs for academic staff and practitioners
Problem solving and research tasks individually and in groups
Practice learning opportunities in a diverse range of social work related workplaces.
Tutor and peer support
Skills based role-play
Service user and carer perspectives

"We are able through our partnership with the MSc in Social Work programme, not only to be involved, but importantly, to influence how you will be prepared with the knowledge, and skills, to recognise and deliver the services we all need."
John Dow (Carers and Users Group, 2014)

What you will study

The MSc programme is designed around 7 assessment-based modules:
Professional Decision Making - A (module 1a)
Community Care and the Caring Experience (module 2)
Integrated Social Work Practice – A (module 5a)
Professional Development of Self, Peers & Colleagues (module 4)
Professional Decision Making – B (module 1b)
Evaluating and Contributing to Policy Development (module 3)
Integrated Social Work Practice – B (module 5b)

How you will be assessed

The programme is assessed through essay based tasks. The emphasis is on the links between theory and practice and all assessments locate knowledge within practice contexts.

Careers

The MSc in Social Work provides graduates with the professionally required social work qualification and opens up employment opportunities across a broad range of social work roles in the statutory, voluntary and private sectors. The qualification is generic and equips graduates to work across the broad range of service user groups and practice contexts.

"Absolutely delighted that *all* of my MSc Social Work tutor group have got jobs!"
Jon Bolton, course tutor, 2012

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Become a change agent and leader for effective supply chains in technology based organisations. This course is an IET accredited programme and can also lead to membership of the Chartered Institute of Purchasing and Supply. Read more
Become a change agent and leader for effective supply chains in technology based organisations.

This course is an IET accredited programme and can also lead to membership of the Chartered Institute of Purchasing and Supply

Why enrol?

This course is designed to further develop the skills of those working in logistics, purchasing and supply chain in manufacturing based enterprises, as well as supporting service organisations.

It will provide you with an understanding of markets, product and process development and financial management to ensure reliable, cost-effective and high quality supply.

Core Modules

- Supply Chain Management
- Logistics and Operations Management
- Procurement and Inventory Management
- Financial Analysis and Control Systems
- Legal Aspects of Global Business
- People in Organisations
- Operations Strategy for Industry

Elective Modules

You will need to select a further three modules to make the total of ten. Please see our website for the complete list.

Delivery and Assessment

There are no written examinations for our Master’s degrees, instead assessment is achieved through work based post module assignments and a work based dissertation.

We believe that applying the ideas, tools and techniques learned on the programme directly into your work environment is the best way of embedding learning in a manner that is meaningful to both you and your employer.

To be awarded your Master’s degree you must complete ten modules, two supporting events (Induction, Research Methodologies) and your dissertation. This typically takes three years on a part time basis.

Each module runs over four and a half days and requires approximately 100 hours of study time including lectures, seminars, independent study and a post module assignment. Modules are fully residential with accommodation and meals provided one of the conference centres at the University of Warwick.

Dissertations are supervised by a WMG tutor and a supervisor from your company and make up 50% of the programme.


For more information call us on 024 7652 3976, email us at or visit our website at go.warwick.ac.uk/wmgptmasters

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Our highly sought-after graduates benefit from a programme that integrates training in identifying, framing and effectively researching social problems with a leading computational approach to social science. Read more
Our highly sought-after graduates benefit from a programme that integrates training in identifying, framing and effectively researching social problems with a leading computational approach to social science.

Furthermore, we are home to the Centre for Research in Social Simulation (CRESS) and its world-leading expertise in agent-based modelling.

PROGRAMME OVERVIEW

Interest in simulation has grown rapidly in the social sciences. New methods have been developed to tackle this complexity. This programme will integrate traditional and new methods, to model complexity, evolution and the adaptation of social systems.

These new methods are having an increasing influence on policy research through a growing recognition that many social problems are insufficiently served by traditional policy modelling approaches.

The Masters in Social Science and Complexity will equip you to develop expertise in the methods necessary to tackle complex, policy-relevant, real-world social problems through a combination of traditional and computational social science methods, and with a particular focus on policy relevance.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year and part-time over two academic years. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Data Analysis
-Field Methods
-Computational Modelling
-Theory Model Data
-Modelling the Complex World
-Policy Modelling
-Theory and Method
-Statistical Modelling
-Evaluation Research
-Dissertation

EDUCATIONAL AIMS OF THE PROGRAMME

The main aims of the programme are to:
-Provide an appropriate training for students preparing MPhil/PhD theses, or for 
 students going on to employment involving the use of social science and policy research
-Provide training that fully integrates social science, policy modelling and computational methodologies to a high standard
-Provide training resulting in students with high quality analytic, methodological, computational and communication skills

PROGRAMME LEARNING OUTCOMES
The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:
-Develop skills in tackling real world policy problems with creativity and sound methodological judgment
-Cover the principles of research design and strategy, including formulating research 
questions or hypotheses and translating these into practicable research designs and models
-Introduce students to the methodological and epistemological issues surrounding research in the social sciences in general and computational modelling in particular
-Develop skills in programming in NetLogo for the implementation of agent-based models for the modelling of social phenomena
-Develop skills in the acquisition and analysis of social science data
-Make students aware of the range of secondary data available and equip them to evaluate its utility for their research
-Develop skills in searching for and retrieving information, using library and Internet resources
-Develop skills in the use of SPSS, and in the main statistical techniques of data analysis, including multivariate analysis
-Develop skills in the use of CAQDAS software for the analysis of qualitative data
-Develop skills in writing, in the preparation of a research proposal, in the presentation ofresearch results and in verbal communication
-Help students to prepare their research results for wider dissemination, in the form of seminar papers, conference presentations, reports and publications, in a form suitable for a range of audiences, including academics, stakeholders, policy makers, professionals, service users and the general public

Knowledge and understanding
-Show advanced knowledge of qualitative, quantitative and computational methodologies in the social science
-Show advanced knowledge of modelling methodologies, model construction and analysis
-Show critical understanding of methodological and epistemological challenges of social science and computer modelling
-Show critical awareness and understanding of the methodological implications of a range of sociological theories and approaches
-Show understanding the use and value of a wide range of different research approaches across the quantitative and qualitative spectra
-Show advanced knowledge in data collection, analysis and data driven modelling
-Show advanced knowledge of policy relevant social science research and modelling
-Show advanced understanding of the policy process and the role of social science and modelling therein
-Show advanced knowledge of statistical modelling

Intellectual / cognitive skills
-Systematically formulate researchable problems; analyse and conceptualise issues; critically appreciate alternative approaches to research; report to a range of audiences
-Conceptual development of Social Science and Complexity models to creatively enhance the understanding of social phenomena
-Integration of qualitative, quantitative and computational data
-Judgement of problem-methodology match
-Analyse qualitative and quantitative data drawn both from ‘real world’ and ‘virtual world’ environments, using basic and more advanced techniques, and draw warranted conclusions
-Develop original insights, questions, analyses and interpretations in respect of research questions
-Critically evaluate the range of approaches to research

Professional practical skills
-Formulate, design, plan, carry out and report on a complete research project
-Use the range of traditional and computational techniques employed in sociological research
-Ability to produce well founded, data driven and validated computational models
-Generate both quantitative and qualitative data through an array of techniques, and select techniques of data generation on appropriate methodological bases
-Employ a quantitative (SPSS) and qualitative software package to manage and analyse data
-Plan, manage and execute research as part of a team and as a sole researcher
-Ability to communicate research findings models in social science and policy relevant ways
-Ability to manage independent research

Key / transferable skills
-Communicate complex ideas, principles and theories by oral, written and visual means
-Apply computational modelling methodology to complex social issues in appropriate ways
-Creativity in approaching complex problems and a the ability of communicating and justifying problem solutions
-Apply computing skills for computational modelling, research instrument design, data analysis, and report writing and presentation
-Work to deadlines and within work schedules
-Work independently or as part of a team
-Demonstrate experience of a work environment

PLACEMENTS

On the MSc Social Science and Complexity, we offer the opportunity to take a research placement during the Easter vacation. This will provide you with first-hand experience of real-life policy research in action.

Organisations in which placements might be possible are a number of consultancies (e.g. Sandtable), government departments (e.g. Defra) and academic research centres (e.g. Centre for Policy Modelling at Manchester).

CAREER OPPORTUNITIES

Computational methods and especially computer-based simulations, are becoming increasingly important in academic social science and policy making.

Graduates might find career opportunities in government departments, consultancies, government departments, consultancies, NGOs and academia.

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

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The rapid globalisation of the sports market, the influence of technology on product research and development and new business models, foreign direct investment in the sports industry supply chain, and the provision of sport related goods and services for increasingly sophisticated and diverse market segments are all contributing to the continued growth of the sports industry. Read more

The rapid globalisation of the sports market, the influence of technology on product research and development and new business models, foreign direct investment in the sports industry supply chain, and the provision of sport related goods and services for increasingly sophisticated and diverse market segments are all contributing to the continued growth of the sports industry.

Rapid growth in the volume and variety of sports publications, sports-related internet sites, and enhanced mass media exposure of sports events and activities is resulting in an increase in the need for individuals with a knowledge of sport communications/media.

Global industrialisation, urbanisation and lifestyle and demographic changes mean that governments and public agencies worldwide are likely to increasingly use sport as a tool for social policy and economic and social development. The management and administration of these programmes and interventions require specific knowledge and management skills.

These developments ensure that the sports industry continues to be a significant and diverse industry in the future, sustaining exciting and satisfying career opportunities for years to come.

On this course you gain

  • employability skills through initiatives like our SHU leadership award to give you the edge in the jobs market
  • a well-developed international/global perspective on the sports industry
  • the conceptual abilities to make sense of complexity and identify innovative and creative solutions.

It is suitable for you if

  • you have a sport or business and management related degree
  • you have management experience and an interest in sport or leisure

The course builds on existing study or industry experience to develop the knowledge and skills required for personal and professional development. It equips you for a career in sport management by giving you an in-depth understanding of core aspects of business and finance and building soft skills such as leadership and team working, all underpinned by the latest research in sport management.

Your studies are made up of eight assessed modules, which include an industry-based research project in which you work with sport organisations to develop solutions to problems or explore potential market opportunities. Recent clients include • Manchester City FC • The International Cricket Council • The Singapore Sports Council • Badminton England • UFC (Ultimate Fight Championship) • Sheffield United FC • Sheffield Wednesday FC.

You also have the option to complete a 12 week work placement, where you receive support and advice from a placement mentor. We use our network of local, regional, national and international employers to help secure you a challenging and fulfilling placement.

Our teaching team includes staff with substantial industry, research and consultancy experience, many of whom work in the University’s internationally renowned Sport Industry Research Centre.

Sheffield Hallam are a Skills Development Partner of the Chartered Institute for Managing Sport and Physical Activity.

Course structure

Full-time – one year – two days a week with four taught modules each semester followed by a project

Part-time – typically two years – tailored to your needs where possible and normally one day a week

The course is made up of eight core modules, plus a research or work-based learning project. Modules provide a broad grounding across management disciplines in sport business. Most teaching is in small groups of typically less than 20 people, allowing for close interaction between students and academic staff.

Core modules:

  • Researching sport management (15 credits)
  • International sports marketing and the media (15 credits)
  • Global economics of sport (15 credits)
  • International sports strategy (15 credits)
  • Managing people in sport organisations (15 credits)
  • Sport business consultancy (15 credits)
  • International sport event management (15 credits)
  • Financial skills for business decisions (15 credits)

Optional modules

Choose one from:

  • Research project (60 credits)
  • Work based learning project (60 credits)

Course support

Before you start the course, we supply you with an induction pack that includes a reading list to introduce you to the general management and specialist modules. We also run an induction programme to prepare you for the course.

During the induction we assess your existing study, IT and language (for international students) skills. This assessment leads to an individual learning plan to improve and develop your skills. We also provide language tuition as needed, if your first language is not English. Dissertation workshops help you to prepare for your dissertation. 

Assessment

  • coursework assignments
  • essays
  • management projects
  • problem solving exercises
  • group work
  • project
  • phase tests

Employability

Graduates of this course have skills that can be applied to commercial, public and non-profit organisations, with career opportunities that include working with • regional, national and international sporting bodies • local authority and voluntary sector sport • sporting clubs • sport leagues • major venues and facilities • event management organisations • sports consultancies • player-agent organisations • sport related government agencies • sponsorship procurement.

If you are already working in sport when you begin the course, you will be in an excellent position to improve your career after graduating.



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