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The School has a strong international reputation for research in this area and this expertise influences this course which explores current research and practice in artificial intelligence and robotics. Read more
The School has a strong international reputation for research in this area and this expertise influences this course which explores current research and practice in artificial intelligence and robotics. This MSc can lead to a career such as a designer of intelligent systems or in research. The core modules are: artificial life with robotics, neural computation and machine learning, theory and practice of artificial intelligence.

Why choose this course?

-This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies
-One of a range of advanced courses within our postgraduate Master's programme in Computer Science, this particular course provides you with a specialism in Artificial Intelligence and Robotics
-Advanced topics studied include artificial life with robotics, neural computation and machine learning, theory and practice of artificial intelligence
-Taught by a highly-regarded and long-established computer science department
-Sixty percent of our research impact in Computer Science and Informatics at the University of Hertfordshire has been rated at world-leading or internationally excellent in the Research Excellence Framework (REF) 2014

Careers

Our master's programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research.

This particular course will prepare you to take up a challenging job or to pursue further research in specific AI fields. Typical career opportunities include researcher or designer for intelligent systems.

Teaching methods

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for master's students.

In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

Work Placement

All our one year full time Computer Science Masters programmes are available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies.

They offer you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.

We will provide excellent academic and personal support during both your academic and placement periods together with comprehensive careers guidance from our very experienced dedicated Careers and Placements Service.

Although the responsibility for finding a placement is with you, our Careers and Placements Service maintains a wide variety of employers who offer placement opportunities and organise special training sessions to help you secure a placement, from job application to the interview. Optional one-to-one consultations are also available.

In order to qualify for the placement period you must maintain an overall average pass mark of not less than 60% across all modules studied in semester ‘A’.

Structure

Year 1
Core Modules
-Professional Issues
-Investigative Methods for Computer Science
-Artificial Life with Robotics
-Neural Networks and Machine Learning
-Theory and Practice of Artificial Intelligence
-Preparation for Placement
-Professional Work Placement for MSc Computer Science

Optional
-Professional Issues
-Investigative Methods for Computer Science
-Data Mining
-Mobile Standards, Interfaces and Applications
-Human Computer Interaction: Principles and Practice
-Advanced Databases
-Programming Paradigms
-Measures and Models for Software Engineering
-Programming for Software Engineers
-Software Engineering Practice and Experience
-Distributed Systems Security
-Secure Systems Programming
-Network System Administration
-Multicast and Multimedia Networking
-Wireless, Mobile and Ad-hoc Networking
-Information Security, Management and Compliance
-Digital Forensics
-Penetration Testing

Year 2
Core Modules
-Artificial Intelligence with Robotics Masters Project

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Designed for health, social care and third sector professionals working with people in their later life years, this programme can also be studied online, offering flexibility for students in employment or a caring role. Read more
Designed for health, social care and third sector professionals working with people in their later life years, this programme can also be studied online, offering flexibility for students in employment or a caring role.

About the programme

UWS will provide graduates from various disciplines with a rigorous education in the many complex health and social care issues affecting older people. It will equip professionals with an in-depth knowledge and the critical perspective necessary to plan, practice in partnership, manage and lead high-quality services and interventions for older people and people with dementia. The programme’s integrated perspective helps to challenge the sector’s next generation of leaders to make connections between the biopsychosocial aspects of later life, caring sciences, implementation sciences, service management and economics.

Campus: Online or blended learning with some attendance required at Lanarkshire Campus

[{Additional Entry Information]]
Students who have already gained credit at Level 11 may transfer this in certain circumstances; this will be considered on an individual basis.
Prior learning and prior experiential learning may also be considered for entry on an individual basis.

Your learning

The course has three parts:

- Postgraduate Certificate (60 credits):
Includes an overview and introduction to the key aspects of later life, including physical, psychological, social, political, and relationship issues. Core modules are Understanding Later Life, Research in Health and Social Care, and Frailty in Later Life. You will be introduced to research at this stage.

- Postgraduate Diploma (60 credits):
The core Independent Study module is the foundation for the Masters dissertation year. Option modules currently available are Dementia Care Principles, Delivering Compassionate Care and Complexities of Pain.

- MSc (180 credits):
You will complete a supervised dissertation (worth 60 credits) in a subject relevant to adults in later life

Our Careers Adviser says

This programme will prepare experienced professionals to embrace the challenges of autonomous practice, decision-making and leadership necessary for this important sector. It is recognised that advanced and specialised knowledge is needed to support the increasingly blended and integrated roles that professionals will adopt in supporting older people.

Current students include occupational therapists, integrated discharge facilitators, care home and assistant care home managers and charge nurses.

State-of-the-art facilities

Our campuses are equipped with artificial simulated environments with contemporary healthcare technology, where you’ll learn in a realistic context, to put your knowledge into practice. The unpredictability of patient symptoms are mimicked using sophisticated software in a clinical ward setting, ranging from low to high dependency beds.

Investment in the Domus Initiative – an older adult artificial home environment – provides you with experience in caring for older people and dementia care. In a first for the Scottish university sector, we have established A Community Orientated Resource for Nursing (ACORN) where students can practice within a simulated primary care environment.

Lanarkshire and Paisley campuses also provide midwifery students with excellent learning and teaching environments with facilities and equipment that includes a birthing room with maternal simulator and a birthing pool for simulated water births.

Life-changing research

We work jointly with a range of partners, both nationally and internationally, on our research interests, and this directly informs teaching at UWS – which means that you’ll learn from the experts.

Our programmes are informed by practice and all of our academic staff are members of the School’s Institute of Healthcare Policy and
Practice. Some of our most recent initiatives include –

• the launch of a new resource, ‘Jenny’s Diary’, which will provide an invaluable tool for families and practitioners to help people with a learning disability understand their diagnosis of dementia

• the development of a new ‘Philosophy of Care’ in partnership with Broomfield Court Care Home in Glasgow, which will look at ways of enhancing the culture and care within a care setting

• we have collaborated with Ayrshire Hospice to launch the first University Hospice in Scotland to help improve the lives of people with life-limiting illness, their families, partners and carers across Ayrshire & Arran; and Ardgowan Hospice in Greenock, with it becoming a University Teaching Hospice and launching a two-year research project with the University aimed at revolutionising the way palliative
care is delivered to improve the patient journey

• the launch of Dumfries & Galloway Recovery College – the first of its kind in Scotland – which offers short courses designed to enhance self-belief, identify ambitions and encourage learning

• in partnership with Edinburgh Napier University and the University of Edinburgh, the mental health team lead research into the relationship between emotional intelligence and clinical and academic performance in student nurses

• we are working with the Glasgow Improving Cancer Journey Programme to evaluate this groundbreaking intervention in cancer care in Scotland

• we have launched a new state-of-the-art microbiology lab which will form a research base in the fight against Healthcare Associated Infection

• a collaboration with a number of European partners to develop shared academic and practicebased programmes to prepare family health nurses in Europe

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Be inspired to innovate and develop the robots, artificial intelligence and autonomous systems of tomorrow’s world. Read more
Be inspired to innovate and develop the robots, artificial intelligence and autonomous systems of tomorrow’s world. Gain advanced theoretical and practical knowledge from our world-leading experts in interactive and intelligent robotics, and graduate ready to pursue an exciting career in anything from home automation to deep sea or space exploration. You’ll also have the opportunity to gain invaluable industry experience and cultivate professional contacts on an integral work placement.

Key features

-Enhance your employability and grow your professional network with an optional integral work placement. You can choose to work in the UK, or overseas in countries including France, Germany or Japan.
-Get up-to-date with the latest developments in artificial life and intelligence, adaptive behaviour, information visualisation, neural computation and dynamic systems, as well as remote access and monitoring systems. Our seminars series with speakers from industry and academia gives you the opportunity to keep ahead in this fast moving field.
-Give yourself the edge. Our programme distinguishes itself from other robotics masters programmes, in the UK and abroad, by ensuring a deeper theoretical and practical knowledge of interactive and intelligent robotics.
-Expand your skills with first-class facilities including 3D rapid prototyping systems, in-house PCB design and assembly tools, and our award winning Plymouth Humanoid robots.
-Get expert training from members of the Marine and Industrial Dynamic Analysis (MIDAS) research group and the Centre for Robotics and Neural Systems (CRNS).
-Become a professional in your field – this programme is accredited by the Institution of Engineering and Technology (IET).
-Benefit by combining disciplines that are traditionally taught separately. You’ll graduate ready with the expertise and joined-up knowledge to design and develop fully integrated mechanical, electronic, control and computing systems.

Course details

On this programme you’ll gain a solid and broad understanding of the latest developments and issues in robotics. You’ll build theoretical and practical knowledge of control and design as well as covering the interface between real-world devices, autonomous processing and evaluation of acquired information. You’ll investigate user interaction and intelligent decision-making and immerse yourself in an innovative project inspired by the latest developments in technology and society. You’ll have access to a robotics club and to a seminar series so that you can keep up-to-date with advances in the industry and academia.

Core modules
-ROCO503 Sensors and Actuators
-BPIE500 Masters Stage 1 Placement Preparation
-PROJ509 MSc Project
-AINT511 Topics in Advanced Intelligent Robotics
-MECH533 Robotics and Control
-SOFT561 Robot Software Engineering
-AINT513 Robotic Visual Perception and Autonomy
-AINT512 Science and Technology of Human-Robot Interaction

Optional modules
-BPIE502 Electrical/Robotics Masters Industrial Placement

Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

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One of a range of degrees from the taught Master's Programme at the School of Computer Science. This course considers current research and practice in computer networking, distributed systems and security. Read more
One of a range of degrees from the taught Master's Programme at the School of Computer Science.

About the course

This course considers current research and practice in computer networking, distributed systems and security. You will develop technical expertise and practical skills in the design, management and evaluation of networks, and in the use of tools and techniques for system security.

This MSc can lead to a career such as a network system designer or administrator, or as a security consultant.

Why choose this course?

-This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies
-One of a range of advanced courses within our postgraduate Master's programme in Computer Science, this particular course provides you with a specialism combining theoretical knowledge and practical skills in computer networking
-You will develop technical expertise and practical skills in the design,management and evaluation of networks, and in the use of tools and techniques for system security
-Taught by a highly-regarded and long-established computer science department with strong links to business
-Half the research outputs in Computer Science at the University of Hertfordshire have been rated at world-leading or internationally excellent in the Research Excellence Framework (REF) 2014

Careers

Our masters programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research. This particular course will prepare you for a career such as a software engineer, developer or project manager.

Teaching methods

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

Work Placement

This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies.

This offers you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.

We will provide excellent academic and personal support during both your academic and placement periods together with comprehensive careers guidance from our very experienced dedicated Careers and Placements Service.

Although the responsibility for finding a placement is with you, our Careers and Placements Service maintains a wide variety of employers who offer placement opportunities and organise special training sessions to help you secure a placement, from job application to the interview. Optional one-to-one consultations are also available.

In order to qualify for the placement period you must maintain an overall average pass mark of not less than 60% across all modules studied in semester ‘A’.

Structure

Year 1
Core Modules
-Professional Issues
-Investigative Methods for Computer Science
-Distributed Systems Security
-Secure Systems Programming
-Network System Administration
-Multicast and Multimedia Networking
-Wireless, Mobile and Ad-hoc Networking
-Preparation for Placement
-Professional Work Placement for MSc Computer Science

Optional
-Professional Issues
-Investigative Methods for Computer Science
-Data Mining
-Mobile Standards, Interfaces and Applications
-Human Computer Interaction: Principles and Practice
-Advanced Databases
-Programming Paradigms
-Measures and Models for Software Engineering
-Programming for Software Engineers
-Software Engineering Practice and Experience
-Artificial Life with Robotics
-Neural Networks and Machine Learning
-Theory and Practice of Artificial Intelligence
-Information Security, Management and Compliance
-Digital Forensics
-Penetration Testing

Year 2
Core Modules
-Computer Networking Principles and Practice Masters Project

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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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We offer postgraduate research degrees in Physics at the MPhil and PhD level in all of our major research areas such as Emerging Technology and Materials, Applied Mathematics, and Photoelectron Spectroscopy. Read more

Course Overview

We offer postgraduate research degrees in Physics at the MPhil and PhD level in all of our major research areas such as Emerging Technology and Materials, Applied Mathematics, and Photoelectron Spectroscopy.

We supervise MPhil and PhD students whose interests match the expertise we have in our four main research themes.

Condensed matter and nanoscale physics

We research electronic, optical, structural and magnetic properties of novel solid-state materials, particularly novel semi-conductor structures and nanostructured materials such as nanocrystals and nanowires. Theoretical studies use quantum mechanical approaches and involve massively parallel supercomputing.

Our development of new approaches to quantum modelling is changing the size and complexity of systems that can be modelled. Experimental work takes place at synchrotron facilities in Europe and America and related work takes place with colleagues in the Emerging Technology and Materials (ETM) Group in the School of Electrical, Electronic and Computer Engineering.

Biophysics

Our research in biophysics explores the structure and function of cells with the aim of creating artificial life and building machines based on biological parts. Projects include protocell development and the construction of a cyborg robot. An understanding of biological physics is needed that uses techniques including single molecule manipulation, atomic force microscopy and scanning tunnelling microscopy.

Astrophysics

Galaxies and the interstellar medium, the source of the galactic magnetic field and its influence on the structure of the galaxy form the focus of our research in astrophysics. There is also interest in cosmology, particularly the early universe and its origin in the big bang.

Ultrafast optics

Our research focuses on coherent optical control of atomic collisions in ultracold gases by femtosecond laser light for studies of problems in fundamental physics, such as the measurement of time dependence of the fundamental constants of nature. We also research metrological protocols for characterisation of broadband light, specifically those relating to foundational aspects of quantum mechanics and its application.

Training and Skills

As a research student you will receive a tailored package of academic and support elements to ensure you maximise your research and future career. The academic information is in the programme profile and you will be supported by our Postgraduate Researcher Development Programme, doctoral training centres and Research Student Support Team.

For further information see http://www.ncl.ac.uk/postgraduate/courses/degrees/physics-mphil-phd/#training&skills

How to apply

For course application information see http://www.ncl.ac.uk/postgraduate/courses/degrees/physics-mphil-phd/#howtoapply

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Are you a future leader in the robotics and intelligent automation industry? Through an extended project sequence delivered collaboratively with Carnegie Mellon University, USA, you’ll apply robotics innovation and research in a real-world setting by taking a project idea from inception through to realisation. Read more
Are you a future leader in the robotics and intelligent automation industry? Through an extended project sequence delivered collaboratively with Carnegie Mellon University, USA, you’ll apply robotics innovation and research in a real-world setting by taking a project idea from inception through to realisation. With our professional masters degree under your belt, you’ll excel as an expert in robotics principles and practices, automation science, software, engineering and management.

Key features

Graduate as an ethical leader or entrepreneur, dedicated to sustainable social and economic development through robotics technology.

Experience both UK and US academic environments by spending your second year studying at Carnegie Mellon University (CMU) in Pittsburgh, USA. Our unique programme is delivered in collaboration with CMU which is recognised for its leading arts, sciences, and engineering programs.

Benefit from close mentoring by CMU staff in your second year while you design your project application and implementation plan.
Get up to date with the latest developments in artificial life and intelligence, adaptive behaviour, information visualisation, neural computation and dynamic systems, as well as remote access and monitoring systems. Our seminars series with speakers from industry and academia gives you the opportunity to keep ahead in this fast moving field.

Give yourself the edge. Our programme distinguishes itself from other robotics masters programmes, in the UK and abroad, by ensuring a deeper theoretical and practical knowledge of interactive and intelligent robotics.

Expand your skills with first-class facilities including 3D rapid prototyping systems, in-house PCB design and assembly tools, and our award winning Plymouth Humanoid robots.

Get expert training from members of the Marine and Industrial Dynamic Analysis (MIDAS) research group and the Centre for Robotic and Neural Systems (CRNS). Our teaching is underpinned by research and industrial strengths in these areas and both CRNS and MIDAS have contacts with major UK robotics companies.

Benefit by combining disciplines that are traditionally taught separately. You’ll graduate with the expertise and joined-up knowledge to design and develop fully integrated mechanical, electronic, control and computing systems.

Course details

Your first year is delivered at Plymouth where you’ll gain deep theoretical and practical knowledge of robotics with an emphasis on mobility and interaction. You’ll cover control and design, interfacing between real-world devices, autonomous processing and evaluation of acquired information, as well as interaction with the user and intelligent decision making. You’ll have access to a robotics club and to a seminar series so that you can keep up-to-date with advances in the industry and academia.

In your second year you’ll study at Carnegie Mellon University’s Robotics Institute in Pittsburgh USA*. You’ll enhance your knowledge of sustainable development, leadership, technology application and industry-oriented project completion. Here you will benefit from close mentoring by CMU staff while you design your project application and implementation plan. You’ll also cover advanced mechanics, computer vision, mobile robot design, programming and development and select from modules which will increase your technical knowledge and expertise. In addition, you’ll have opportunity to build real-world experience in business, resource, and cultural environments worldwide by completing an industrial placement during the summer between years one and two.

Applying

The University aims to make the application procedure as simple and efficient as possible. Our Admissions team is on hand to offer help and can put you in touch with the appropriate faculty if you wish to discuss any programme in detail. The Graduate School is also available to answer any queries on our postgraduate research degrees –

If you have a disability and would like further information about the support provided by Plymouth University, please visit our Disability Assist Services website. Support is also available to overseas candidates applying to the University from our International Admissions Team via

International applicants

If you have an overseas qualification, you can check your compatibility with the UK equivalent through NARIC, who provide an advisory service.

If your first language is not English then evidence of English proficiency is required.

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This course allows you to study two or more areas of computing that relate to your interests along with key core areas of computer science. Read more
This course allows you to study two or more areas of computing that relate to your interests along with key core areas of computer science. Depending on the modules chosen, it can lead to a career in areas such as software development, systems design, user interface design, or database design and administration.

About the course

The MSc Advanced Computer Science course consists of two major parts: taught modules and an MSc project. Each taught module has an assigned number of credits (either 15 or 30). Some modules are compulsory and some are optional. The project is compulsory and has a modular value of 60. In order to obtain an MSc degree you must study and pass 120 credits of taught modules plus the project i.e. 180 credits in total.

Why choose this course?

-This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies
-This MSc is one of a range of advanced courses within our postgraduate masters programme in Computer Science
-You will develop knowledge and skills in the models, methodologies, measures and tools that can be employed in your future career
-You will be taught by a highly-regarded and long-established computer science department with strong links to business
-Half the research outputs in Computer Science at the University of Hertfordshire have been rated at world-leading or internationally excellent in the Research Excellence Framework (REF 2014)

Careers

Our masters programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research. This particular course will prepare you for a career such as a software engineer, developer or project manager.

Teaching methods

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

Work Placement

This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies.

This offers you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.

We will provide excellent academic and personal support during both your academic and placement periods together with comprehensive careers guidance from our very experienced dedicated Careers and Placements Service.

Although the responsibility for finding a placement is with you, our Careers and Placements Service maintains a wide variety of employers who offer placement opportunities and organise special training sessions to help you secure a placement, from job application to the interview. Optional one-to-one consultations are also available.

In order to qualify for the placement period you must maintain an overall average pass mark of not less than 60% across all modules studied in semester ‘A’.

Structure

Year 1
Core Modules
-Programming Paradigms
-Preparation for Placement
-Professional Work Placement for MSc Computer Science

Optional
-Professional Issues
-Investigative Methods for Computer Science
-Data Mining
-Mobile Standards, Interfaces and Applications
-Human Computer Interaction: Principles and Practice
-Advanced Databases
-Measures and Models for Software Engineering
-Programming for Software Engineers
-Software Engineering Practice and Experience
-Distributed Systems Security
-Secure Systems Programming
-Network System Administration
-Multicast and Multimedia Networking
-Wireless, Mobile and Ad-hoc Networking
-Artificial Life with Robotics
-Neural Networks and Machine Learning
-Theory and Practice of Artificial Intelligence
-Information Security, Management and Compliance
-Digital Forensics
-Penetration Testing

Year 2
Core Modules
-Advanced Computer Science Masters Project

Read less
Launch yourself into the robotics research environment and develop the skills and confidence to conduct your own in-depth research project. Read more
Launch yourself into the robotics research environment and develop the skills and confidence to conduct your own in-depth research project. Gain current, advanced theoretical and practical knowledge from our world-leading experts in intelligent and interactive robotics. You’ll graduate ready for a future in the fast-moving world of personal and service robotics and with the skills to further your research to PhD level.

Key features

-Immerse yourself in an individual research project and learn how to communicate your motivation, methodology, and conclusions through a formal dissertation and summary paper.
-Get up-to-date with the latest developments in artificial life and intelligence, adaptive behaviour, information visualisation, neural computation and dynamic systems, as well as remote access and monitoring systems. Our seminars series with speakers from industry and academia gives you the opportunity to keep ahead in this fast moving field.
-Give yourself the edge. Our programme distinguishes itself from other robotics masters programmes, in the UK and abroad, by ensuring a deeper theoretical and practical knowledge of interactive and intelligent robotics.
-Expand your skills with first-class facilities including 3D rapid prototyping systems, in-house PCB design and assembly tools, and our award winning Plymouth Humanoid robots.
-Get expert training from members of the Marine and Industrial Dynamic Analysis (MIDAS) research group and the Centre for Robotics and Neural Systems (CRNS).
-Benefit by combining disciplines that are traditionally taught separately. You’ll graduate ready with the expertise and joined-up knowledge to design and develop fully integrated mechanical, electronic, control and computing systems.
-The taught elements of this programme are also delivered to students on Year 1 of the MSc Robotics Technology programme.

Course details

On this programme you’ll gain a solid and broad understanding of the latest developments and issues in robotics. You’ll build advanced theoretical and practical knowledge of control and design as well as covering the interface between real-world devices, autonomous processing and evaluation of acquired information. You’ll learn how to search, critically appraise and identify relevant research literature. You’ll also gain expertise in project management and personal effectiveness whilst immersing yourself in a substantial and innovative project inspired by the latest developments in technology and society. You’ll have access to a robotics club and to a seminar series so that you can keep up-to-date with advances in the industry and academia.

Core modules
-PROJ510 MRes Project

Optional modules
-ROCO503 Sensors and Actuators
-AINT511 Topics in Advanced Intelligent Robotics
-MECH533 Robotics and Control
-SOFT561 Robot Software Engineering
-AINT513 Robotic Visual Perception and Autonomy
-AINT512 Science and Technology of Human-Robot Interaction

Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

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This course considers current research and practice in cyber security. You will develop technical expertise and practical skills in the design, management and evaluation of secure systems, and in the use of tools and techniques for penetration testing and cyber defence. Read more
This course considers current research and practice in cyber security. You will develop technical expertise and practical skills in the design, management and evaluation of secure systems, and in the use of tools and techniques for penetration testing and cyber defence. This MSc can lead to a career such as a network system administrator, security analyst, ethical hacker or a security consultant.

Why choose this course?

The MSc Cyber Security consists of two major parts: taught modules and an MSc project. Each taught module has an assigned number of credits (either 15 or 30). In order to obtain an MSc degree you must study and pass 120 credits of compulsory taught modules plus the project i.e. 180 credits in total.

[[Careers
Our masters programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research. This particular course will prepare you for a career such as a software engineer, developer or project manager.

Teaching methods

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

Work Placement

This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies.

This offers you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.

We will provide excellent academic and personal support during both your academic and placement periods together with comprehensive careers guidance from our very experienced dedicated Careers and Placements Service.

Although the responsibility for finding a placement is with you, our Careers and Placements Service maintains a wide variety of employers who offer placement opportunities and organise special training sessions to help you secure a placement, from job application to the interview. Optional one-to-one consultations are also available.

In order to qualify for the placement period you must maintain an overall average pass mark of not less than 60% across all modules studied in semester ‘A’.

Structure

Core Modules
-Advanced Computer Science Masters Project
-Programming Paradigms

Optional
-Advanced Databases
-Artificial Life with Robotics
-Data Mining
-Digital Forensics
-Distributed Systems Security
-Human Computer Interaction: Principles and Practice
-Information Security, Management and Compliance
-Investigative Methods for Computer Science
-Measures and Models for Software Engineering
-Mobile Standards, Interfaces and Applications
-Multicast and Multimedia Networking
-Network System Administration
-Neural Networks and Machine Learning
-Penetration Testing
-Professional Issues
-Programming for Software Engineers
-Secure Systems Programming
-Software Engineering Practice and Experience
-Theory and Practice of Artificial Intelligence
-Wireless, Mobile and Ad-hoc Networking

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The brain, the immune system and the formation of clouds, are all examples of complex adaptive systems comprising of many interacting components, often non linear and dynamic, leading to multiple levels of collective structures and organization. Read more
The brain, the immune system and the formation of clouds, are all examples of complex adaptive systems comprising of many interacting components, often non linear and dynamic, leading to multiple levels of collective structures and organization.

Inspired by complex adaptive systems in nature, several new methods for information processing have emerged: artificial neural networks resemble neurobiology; genetic algorithms and genetic programming are based on evolutionary processes in nature; the construction of artificial life, the design of autonomous robots and software agents are based on the behaviour of living systems.

Programme description

To understand the dynamics of increasingly complex phenomena where standard simulation methods are inadequate, stochastic algorithms, game theory, adaptive programming, self similarity, chaos theory and statistical methods are used to describe and increase our understanding of complex systems in nature and society, in the end trying to predict the unpredictable.
Examples are gene-regulation networks, the motion of dust particles in turbulent air or the dynamics of financial markets.

One example is fluctuations of share and option prices determining the stability of our economy. Other examples are the dynamics of dust particles in the exhaust of diesel engines, the dynamics of biological or artificial populations, earthquake prediction, and last but not least adaptive learning: the problem of teaching a robot how to respond to unexpected changes in its environment.

Truly interdisciplinary and encompassing several theoretical frameworks, this programme provides you with a broad and thorough introduction to the theory of complex systems and its applications to the world around us. The programme is based on a physics perspective with a focus on general principles, but it also provides courses in information theory, computer science and optimisation algorithms, ecology and genetics as well as adaptive systems and robotics.

Educational methods

Besides traditional lectures on simulation and theory of complex systems, the programme is largely based on numerical calculation and simulation projects and depending on course selection possibly practical work in the robotics lab.

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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. Research in the School of Computer Science is focused upon three core areas of the discipline: algorithms (which includes high performance architectures, languages and compilers, machine learning and theoretical computer science); neural and biological computation (which includes neuro- and systems biology, associative memory, data analysis and genetic regulatory networks) and adaptive systems (which includes artificial intelligence, artificial life, social and emotional developmental robotics, and human-robot interaction). In addition, the School promotes innovative research in the development and use of educational technology.

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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. Research in the School of Computer Science is focused upon three core areas of the discipline: algorithms (which includes high performance architectures, languages and compilers, machine learning and theoretical computer science); neural and biological computation (which includes neuro- and systems biology, associative memory, data analysis and genetic regulatory networks) and adaptive systems (which includes artificial intelligence, artificial life, social and emotional developmental robotics, and human-robot interaction). In addition, the School promotes innovative research in the development and use of educational technology.

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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. Research in the School of Computer Science is focused upon three core areas of the discipline: algorithms (which includes high performance architectures, languages and compilers, machine learning and theoretical computer science); neural and biological computation (which includes neuro- and systems biology, associative memory, data analysis and genetic regulatory networks) and adaptive systems (which includes artificial intelligence, artificial life, social and emotional developmental robotics, and human-robot interaction). In addition, the School promotes innovative research in the development and use of educational technology.

Read less
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. Research in the School of Computer Science is focused upon three core areas of the discipline: algorithms (which includes high performance architectures, languages and compilers, machine learning and theoretical computer science); neural and biological computation (which includes neuro- and systems biology, associative memory, data analysis and genetic regulatory networks) and adaptive systems (which includes artificial intelligence, artificial life, social and emotional developmental robotics, and human-robot interaction). In addition, the School promotes innovative research in the development and use of educational technology.

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