• University of Derby Online Learning Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • University of Bristol Featured Masters Courses
  • University of Leeds Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • Jacobs University Bremen gGmbH Featured Masters Courses
  • Aberystwyth University Featured Masters Courses

Postgrad LIVE! Study Fair

Birmingham | Bristol | Sheffield | Liverpool | Edinburgh

University College London Featured Masters Courses
Cass Business School Featured Masters Courses
Nottingham Trent University Featured Masters Courses
University College London Featured Masters Courses
London School of Economics and Political Science Featured Masters Courses
"biometric"×
0 miles

Masters Degrees (Biometric)

We have 17 Masters Degrees (Biometric)

  • "biometric" ×
  • clear all
Showing 1 to 15 of 17
Order by 
The Information Security and Biometrics MSc offers an advanced level of learning and provides you with a detailed understanding of the theories, concepts and techniques in the design, development and effective use of secure information systems. Read more
The Information Security and Biometrics MSc offers an advanced level of learning and provides you with a detailed understanding of the theories, concepts and techniques in the design, development and effective use of secure information systems.

Secure information systems are critically important to modern day businesses and societies. From banking systems and medical systems to power infrastructures or a simple home PC, security is vitally important as they are usually all interconnected directly or indirectly via the Internet or telephony system.

This Master’s programme combines modern engineering and technology with digital media and equips students with the skill set to develop modern security systems with an emphasis on biometric identity management. Graduates of this programme are then capable of adapting to changes in the field and of leading it in innovation.

Visit the website https://www.kent.ac.uk/courses/postgraduate/256/information-security-biometrics

About the School of Engineering and Digital Arts

The School of Engineering and Digital Arts successfully combines modern engineering and technology with the exciting new field of digital media.

Established over 40 years ago, the School has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.

The School undertakes high-quality research that has had significant national and international impact, and our spread of expertise allows us to respond rapidly to new developments. Our 30 academic staff and over 130 postgraduate students and research staff provide an ideal focus to effectively support a high level of research activity. There is a thriving student population studying for postgraduate degrees in a friendly and supportive teaching and research environment.

We have research funding from the Research Councils UK, European research programmes, a number of industrial and commercial companies and government agencies including the Ministry of Defence. Our Electronic Systems Design Centre and Digital Media Hub provide training and consultancy for a wide range of companies. Many of our research projects are collaborative, and we have well-developed links with institutions worldwide.

Course structure

This programme is taught jointly with the School of Computing. Both schools are at the forefront of research in their areas.

The School of Engineering and Digital Arts has an excellent reputation for research in various aspects of biometrics, including individual biometric modalities, the management of complexity in biometric systems and the testing and evaluation of biometric systems; while the School of Computing has participated in the development of X.509 international standard and the first X.509 privilege management infrastructure (PMI) was built by members of this school.

This Master's programme offers an advanced level of learning by providing students with a thorough understanding of the theories, concepts and techniques for the design, development and effective use of secure information systems, and producing graduates who are capable of adapting to changes in the field and leading it in innovation.

The course is designed for practitioners, professionals and graduates with an interest in information security, access control technologies, and application domains using biometric identification and verification systems.

Programme aims

This programme aims to:

- produce graduate engineers with a broad understanding of how to provide effective information security, and how to develop and use modern security systems, with a particular emphasis on biometric identity management

- equip trained engineers with the necessary system development skills to allow them to adapt to a dynamic and fast-changing industrial environment

- provide you with proper academic guidance and welfare support

- create an atmosphere of co-operation and partnership between staff and students, and offer you an environment where you can develop your potential.

Careers

We have developed the programme with a number of industrial organisations, which means that successful students will be in a strong position to build long-term careers in this important discipline.

The School of Engineering and Digital Arts (http://www.eda.kent.ac.uk/) has an excellent record of student employability (http://www.eda.kent.ac.uk/school/employability.aspx). We are committed to enhancing the employability of all our students, to equip you with the skills and knowledge to succeed in a competitive, fast-moving, knowledge-based economy.

Graduates who can show that they have developed transferable skills and valuable experience are better prepared to start their careers and are more attractive to potential employers. Within the School of Engineering and Digital Arts, you can develop the skills and capabilities that employers seek. These include problem solving, independent thought, report-writing, time management, leadership skills, team-working and good communication.

Kent has an excellent record for postgraduate employment: over 94% of our postgraduate students who graduated in 2013 found a job or further study opportunity within six months.

Building on Kent’s success as the region’s leading institution for student employability, we offer many opportunities for you to gain worthwhile experience and develop the specific skills and aptitudes that employers value.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

Read less
This programme of study aims to train first-degree holders in computing-related areas into specialists in selected areas of IT and computing. Read more

Course outline

This programme of study aims to train first-degree holders in computing-related areas into specialists in selected areas of IT and computing. Based on the current expertise in the Department, the programme offers students opportunities for in-depth study in:

- Secure mobile and wireless communications
- Biometrics and authentication
- Data mining and knowledge discovery
- Imaging techniques and applications

The programme is carefully designed to suit the varied needs of different students from different backgrounds and with different career objectives.

Communications using mobile and wireless devices such as mobile phones, PDA s and laptops have become increasingly important in modern life and electronic commerce. Reliable, speedy and secure transmission of information over such devices is vital for the successful exploitation of the technologies.

Authentication, using biometric data as a sophisticated means to combat fraud, is increasingly accepted by both businesses and governments. Biometric authentication solutions require good use of imaging and data mining techniques in constructing and verifying customer profiles. Online organisations have accumulated large collections of online data that need speedy processing and analysis. If you are interested in finding out more about any of these technologies, then this programme is for you.

On graduating from this programme, you will be able to:

- Understand a range of modern computing technologies
- Apply these technologies in practice
- Describe the roles that modern computing technologies have in many areas of application
- Demonstrate the value of state-of-the-art development in one specific technology and its applications

Find out more about our Department of Applied Computing on http://www.buckingham.ac.uk/appliedcomputing.

Teaching methods

Our modules include a mixture of formal lectures, tutorial classes and practical classes. At the start of each module you will be given an up-to-date module outline and reading list. Most modules will provide two or three hours of lectures each week to introduce you to the basic concepts and techniques. These will be supported by lecture notes or handouts.

Lectures are supported by weekly tutorial classes, usually one hour in length, which are held in small groups so that all students can benefit from individual attention. You will be expected to prepare for these classes, for example by attempting a set of exercises or by reading a case study.

Many of our modules have supervised practical classes in the computer laboratories in which you can apply and practise the techniques you have learnt in the lectures. These practical sessions are usually two or three hours long.

You will also be expected to study on your own, using the library for reading research and the computer laboratories to improve your practical skills.

Course material is also available on the University’s own Virtual Learning Environment. This allows students to download lecture notes, submit assignments and share resources in an electronic forum both within the University’s computer network and remotely.

After your degree

The increasing specialisation which is frequently required in the employment market is no longer provided by just an undergraduate degree. A postgraduate degree provides these advanced skills and, in today’s competitive employment market, is becoming increasingly important in order to stand out from the crowd.

Any successful career choice in the market place will be dependent on a number of factors. Your academic qualification, while important, may not be the deciding factor. Your attitude, skills and experience matter too. Whatever your motivation in taking a postgraduate course, you should think about the transferable skills an employer is seeking, and taking advantage of every opportunity for self-development to improve your chances of success in your future career. The Careers Service has the resources to help you with this process.

Read less
The Applied Computing Department is a young department of modest size but is successful in attracting research funding from various sources in the UK and the EU (including industry, research councils and charitable foundations). Read more

Course Outline

The Applied Computing Department is a young department of modest size but is successful in attracting research funding from various sources in the UK and the EU (including industry, research councils and charitable foundations). It supports a significant range of research interest and over the last few years the number of research students has grown steadily. The Department has a history of involvement in EU framework projects. More recently, we were partners in two EU FP6 funded projects: SecurePhone and BroadWan. We have been working and collaborating with many European research institutions including The Technical University Graz, CNUCE, Pisa, Thales, Thomson, TELENOR, RAL, Salzburg, Telephonica – Spain, Atos Origin, The University of Saarbrucken – Germany, INFORMA – Italy, and ENST – France.

The main research areas of interest in the Department cover image / video processing and analysis techniques and applications; wireless mobile network technologies; and biometric-based authentications for constrained devices / environments. In image processing we mainly, but not exclusively, use wavelet transform techniques for facial feature detection and recognition, online image / video compression for constrained devices, visual speech recognition, feature detection in biomedical images, digital watermarking, content-based video indexing for biometric video databases. In the wireless networking area, our research effort focuses on convergence and integration of different wireless technologies and standards, wireless mesh technologies, intrusion detection and prevention, efficiency and stability of ad hoc networks.

Currently the Department has a number of research groups consisting of 5 research active academics, 12 PhD and 3 MSc/MPhil students at various stages of their studies.

Find out more about our Department of Applied Computing on http://www.buckingham.ac.uk/appliedcomputing.

Teaching Method

Candidates spend a considerable part of their studies undertaking supervised research, at the end of which they submit a thesis embodying the results of that research. This thesis must demonstrate familiarity with, and an understanding of the subject, its principal sources and authorities. It should display critical discrimination and a sense of proportion in evaluating evidence and the judgements of others. The subject should be dealt with in a competent and scholarly manner.

Read less
Why choose this course?. Read more

Why choose this course?

The MSc Forensic Genetics and Human Identification is a comprehensive course on Human Identification and Mass Fatality Incident Analysis incorporating the full methodological repertoire of Forensic Genetics and DNA analysis, Physical Anthropology, Crime Scene Investigation and Human Identification based on biometric assessment of a variety of physical characteristics.

Intensive Course Program

We deliver our masters programmes in two semesters of taught subject materials, followed by a full-time intensive research project over the summer.

Throughout the taught section of the program, current and advanced topics in Human Identification are taught by forensic scientists and practitioners in comprehensive lecture series. Lecture topics are discussed in seminars and reinforced in practical teaching sessions.

During our methods units, students learn advanced research techniques and topic related professional skills. 

Subsequently, students carry out their independent research project (in one of the featured subjects) in collaboration with a member of the Forensic Science department, based upon a comprehensive literature review and project design.

The ten week full-time research project is accompanied by training in scientific writing, project design and oral presentation skills.

Student Services and Guidance

A two week orientation prior to the programme provides assistance and advice for managing the day to day life and familiarisation with the university facilities. The School of Applied Sciences also provides an optional one week transition program for international students. 

Our student support offices, and International Centre provide comprehensive support throughout the entire course of study.

Postgraduate Bursaries:

If you commenced undergraduate study at any University in 2012 you may be eligible for a £10,000 bursary

What happens on the course?

Module Content

Forensic Genetics, Forensic Anthropology, Human Identification from Physical Characteristics, Professional Skills in Forensic Science, Laboratory techniques, Molecular Genetics and Genomics, Research Methods and Research Project

Why Wolverhampton?

The Masters in Forensic Genetics and Human Identification is a comprehensive course on Human Identification and Mass Fatality Incident Analysis incorporating the full methodological repertoire of Forensic Genetics and DNA Analysis, Physical Anthropology and Human Identification based on biometric assessment of physical characteristics incorporated with advanced research techniques and associated professional skills.

With reference to its structure and combination of key topics, this course is quite unique in the national as well as international market, while being designed to generate a postgraduate level of competence in an important as well as exciting area of Forensic Science.



Read less
This programme provides an exciting opportunity to gain intensive training in the psychology of individual differences by a large team of world-class researchers. Read more

This programme provides an exciting opportunity to gain intensive training in the psychology of individual differences by a large team of world-class researchers.

It provides advanced graduate-level study in the field of the psychology of individual differences and psychological research skills, and forms a strong basis for further (typically PhD) study.

There are two key subdivisions in the study of human individual differences: personality and mental abilities. Psychology at Edinburgh has a uniquely large number of world-class researchers in both subdivisions.

The programme covers psychometric research methods, the foundations and correlates of human individual differences (including approaches involving information processing, brain-imaging, molecular genetics and biometric models), and the application of individual differences in personality to health. No prior experience of the psychology of individual differences is assumed.

Programme structure

This programme comprises two semesters of taught courses, followed by a research-based dissertation supervised by a member of staff with similar research interests.

Compulsory courses:

  • Seminar in Personality
  • Seminar in Intelligence
  • Current Topics in Psychological Research
  • Multivariate Statistics and Methodology Using R
  • Psychological Research Skills
  • Univariate Statistics and Methodology using R

Option courses may include:

  • Intelligence, Personality and Health (MSc)

Learning outcomes

The programme is aimed primarily at students who are considering advanced research in the area. Students who follow this programme will gain:

  • an in-depth understanding of current research issues, research and methodology in the psychology of individuals
  • the ability to formulate research questions and apply appropriate research methods to increase understanding of individual differences in human personality and human mental abilities
  • advanced understanding of seminal and recent scientific findings relating to the study of human individual differences and the ways in which individual differences are currently being studied or applied
  • skills in research management, including managing data and disseminating research in ways consistent with professional practice in the field of individual differences and the normal principles of research ethics
  • advanced knowledge of the basic principles of multivariate statistical data analysis techniques (including multiple regression, factor analysis and structural equation modelling) and epidemiological techniques (including logistic regression and survival analyses), and the ability to carry out data analysis on different data sets using appropriate statistical packages
  • a firm basis for subsequent advanced specialised research within the psychology of individual differences
  • a broad understanding and awareness of issues and findings in the psychology of individual differences through application to other disciplines such as human cognitive neuropsychology, molecular genetics, evolutionary psychology, epidemiology and health psychology

Career opportunities

This programme has been designed to help you progress your research career and offers a firm basis for further postgraduate study.



Read less
The Computer Animation Master’s programme at Kent is oriented towards current industrial needs, technology and practice. It is designed to be a direct route into this high-profile, modern and creative industry, and has been developed jointly by the School and our industrial partner Framestore CFC. Read more
The Computer Animation Master’s programme at Kent is oriented towards current industrial needs, technology and practice. It is designed to be a direct route into this high-profile, modern and creative industry, and has been developed jointly by the School and our industrial partner Framestore CFC.

Develop your knowledge and understanding of the animation process, software tools, techniques and packages, and the technical aspects of working in a professional animation environment. The MSc programme offers invaluable experience of working to professional briefs and under expert supervision of professional animators to prepare you for a career in industry.

Competition is fierce in animation and visual effects and success depends on your concentration levels, constant practise and ability to grasp the essence and modern techniques of animation. Successful former students are now working in animation and animation layout roles for companies such as Sony Games and Framestore CFC on major titles in games, television and film.

Visit the website https://www.kent.ac.uk/courses/postgraduate/248/computer-animation

About the School of Engineering and Digital Arts

The School of Engineering and Digital Arts successfully combines modern engineering and technology with the exciting field of digital media. The School, which was established over 40 years ago, has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.

The School undertakes high-quality research that has had significant national and international impact, and our spread of expertise allows us to respond rapidly to new developments. Our 30 academic staff and over 130 postgraduate students and research staff provide an ideal focus to effectively support a high level of research activity. We have a thriving student population studying for postgraduate degrees in a friendly, supportive teaching and research environment.

We have research funding from the Research Councils UK, European research programmes, a number of industrial and commercial companies and government agencies including the Ministry of Defence. Our Electronic Systems Design Centre and Digital Media Hub provide training and consultancy for a wide range of companies. Many of our research projects are collaborative, and we have well-developed links with institutions worldwide.

Course structure

This intensively taught postgraduate course lasts a full year. It takes place in a dedicated computer laboratory where you have your own seat and computer for the duration of the course. The course lectures and workshops, whether led by visiting professionals or staff, are all held in this room. Demonstrations and showing of films are by means of an HD projector. By the end of the year, the lab will be where you live as much as your accommodation.

Modules

The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.

EL831 - Digital Visual Art set-up (15 credits)
EL832 - Animation Principles (15 credits)
EL833 - Visual Training (15 credits)
EL837 - Professional Group Work (15 credits)
EL863 - Advanced 3D Modelling (15 credits)
EL864 - Pre-Visualisation (15 credits)
EL865 - Action in Animation (15 credits)
EL866 - Acting in Animation (15 credits)
EL830 - Computer Animation Project (60 credits)

Assessment

Each module is assessed by practical assignments. The project work is assessed on the outcome of the project itself.

Programme aims

This programme aims to:

- enable you to develop your knowledge and understanding within the field of 3D computer animation, which will equip you to become a professional in the animation and visual effects industry

- produce professionally-trained animators who are highly skilled in using state-of-the-art 3D animation software for producing animated films

- provide you with proper academic guidance and welfare support

- create an atmosphere of co-operation and partnership between staff and students, and offer you an environment where you can develop your potential

- strengthen and expand opportunities for industrial collaboration with the School of Engineering and Digital Arts.

Research areas

- Intelligent Interactions

The Intelligent Interactions group has interests in all aspects of information engineering and human-machine interactions. It was formed in 2014 by the merger of the Image and Information Research Group and the Digital Media Research Group.

The group has an international reputation for its work in a number of key application areas. These include: image processing and vision, pattern recognition, interaction design, social, ubiquitous and mobile computing with a range of applications in security and biometrics, healthcare, e-learning, computer games, digital film and animation.

- Social and Affective Computing
- Assistive Robotics and Human-Robot Interaction
- Brain-Computer Interfaces
- Mobile, Ubiquitous and Pervasive Computing
- Sensor Networks and Data Analytics
- Biometric and Forensic Technologies
- Behaviour Models for Security
- Distributed Systems Security (Cloud Computing, Internet of Things)
- Advanced Pattern Recognition (medical imaging, document and handwriting recognition, animal biometrics)
- Computer Animation, Game Design and Game Technologies
- Virtual and Augmented Reality
- Digital Arts, Virtual Narratives.

Careers

We have developed the programme with a number of industrial organisations, which means that successful students will be in a strong position to build a long-term career in this important discipline.

The School of Engineering and Digital Arts (http://www.eda.kent.ac.uk/) has an excellent record of student employability (http://www.eda.kent.ac.uk/school/employability.aspx). We are committed to enhancing the employability of all our students, to equip you with the skills and knowledge to succeed in a competitive, fast-moving, knowledge-based economy.

Graduates who can show that they have developed transferable skills and valuable experience are better prepared to start their careers and are more attractive to potential employers.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

Read less
The School of Engineering and Digital Arts offers research-led degrees in a wide range of research disciplines, related to Electronic, Control and Information Engineering, in a highly stimulating academic environment. Read more
The School of Engineering and Digital Arts offers research-led degrees in a wide range of research disciplines, related to Electronic, Control and Information Engineering, in a highly stimulating academic environment. The School enjoys an international reputation for its work and prides itself in allowing students the freedom to realise their maximum potential.

Established over 40 years ago, the School has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.

We undertake high-quality research that has had significant national and international impact, and our spread of expertise allows us to respond rapidly to new developments. Our 30 academic staff and over 130 postgraduate students and research staff provide an ideal focus to effectively support a high level of research activity. There is a thriving student population studying for postgraduate degrees in a friendly and supportive teaching and research environment.

We have research funding from the Research Councils UK, European research programmes, a number of industrial and commercial companies and government agencies including the Ministry of Defence. Our Electronic Systems Design Centre and Digital Media Hub provide training and consultancy for a wide range of companies. Many of our research projects are collaborative, and we have well-developed links with institutions worldwide.

Visit the website https://www.kent.ac.uk/courses/postgraduate/262/electronic-engineering

Project opportunities

Some projects available for postgraduate research degrees (http://www.eda.kent.ac.uk/postgraduate/projects_funding/pgr_projects.aspx).

Research areas

- Communications

The Group’s activities cover system and component technologies from microwave to terahertz frequencies. These include photonics, antennae and wireless components for a broad range of communication systems. The Group has extensive software research tools together with antenna anechoic chambers, network and spectrum analysers to millimetre wave frequencies and optical signal generation, processing and measurement facilities. Current research themes include:

- photonic components
- networks/wireless systems
- microwave and millimetre-wave systems
- antenna systems
- radio-over-fibre systems
- electromagnetic bandgaps and metamaterials
- frequency selective surfaces.

- Intelligent Interactions:

The Intelligent Interactions group has interests in all aspects of information engineering and human-machine interactions. It was formed in 2014 by the merger of the Image and Information Research Group and the Digital Media Research Group.

The group has an international reputation for its work in a number of key application areas. These include: image processing and vision, pattern recognition, interaction design, social, ubiquitous and mobile computing with a range of applications in security and biometrics, healthcare, e-learning, computer games, digital film and animation.

- Social and Affective Computing
- Assistive Robotics and Human-Robot Interaction
- Brain-Computer Interfaces
- Mobile, Ubiquitous and Pervasive Computing
- Sensor Networks and Data Analytics
- Biometric and Forensic Technologies
- Behaviour Models for Security
- Distributed Systems Security (Cloud Computing, Internet of Things)
- Advanced Pattern Recognition (medical imaging, document and handwriting recognition, animal biometrics)
- Computer Animation, Game Design and Game Technologies
- Virtual and Augmented Reality
- Digital Arts, Virtual Narratives.

- Instrumentation, Control and Embedded Systems:

The Instrumentation, Control and Embedded Systems Research Group comprises a mixture of highly experienced, young and vibrant academics working in three complementary research themes – embedded systems, instrumentation and control. The Group has established a major reputation in recent years for solving challenging scientific and technical problems across a range of industrial sectors, and has strong links with many European countries through EU-funded research programmes. The Group also has a history of industrial collaboration in the UK through Knowledge Transfer Partnerships.

The Group’s main expertise lies primarily in image processing, signal processing, embedded systems, optical sensors, neural networks, and systems on chip and advanced control. It is currently working in the following areas:

- monitoring and characterisation of combustion flames
- flow measurement of particulate solids
- medical instrumentation
- control of autonomous vehicles
- control of time-delay systems
- high-speed architectures for real-time image processing
- novel signal processing architectures based on logarithmic arithmetic.

Careers

We have developed our programmes with a number of industrial organisations, which means that successful students are in a strong position to build a long-term career in this important discipline. You develop the skills and capabilities that employers are looking for, including problem solving, independent thought, report-writing, time management, leadership skills, team-working and good communication.

Kent has an excellent record for postgraduate employment: over 94% of our postgraduate students who graduated in 2013 found a job or further study opportunity within six months.

Building on Kent’s success as the region’s leading institution for student employability, we offer many opportunities for you to gain worthwhile experience and develop the specific skills and aptitudes that employers value.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

Read less
The School conducts high-quality significant national and international research and offers excellent opportunities for graduate studies, successfully combining modern engineering and technology with the exciting field of digital media. Read more
The School conducts high-quality significant national and international research and offers excellent opportunities for graduate studies, successfully combining modern engineering and technology with the exciting field of digital media. The digital media group has interests in many areas of interactive multimedia and digital film and animation.

Visit the website https://www.kent.ac.uk/courses/postgraduate/264/digital-arts

About the School of Engineering and Digital Arts

Established over 40 years ago, the School has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.

The School undertakes high-quality research (http://www.eda.kent.ac.uk/research/default.aspx) that has had significant national and international impact, and our spread of expertise allows us to respond rapidly to new developments. Our 30 academic staff and over 130 postgraduate students and research staff provide an ideal focus to effectively support a high level of research activity. There is a thriving student population studying for postgraduate degrees in a friendly and supportive teaching and research environment.

We have research funding from the Research Councils UK, European research programmes, a number of industrial and commercial companies and government agencies including the Ministry of Defence. Our Electronic Systems Design Centre and Digital Media Hub provide training and consultancy for a wide range of companies. Many of our research projects are collaborative, and we have well-developed links with institutions worldwide.

Course structure

The digital media group has interests in many areas of interactive multimedia and digital film and animation.

There is particular strength in web design and development, including e-commerce, e-learning, e-health; and the group has substantial experience in interaction design (eg, Usability and accessibility), social computing (eg, Social networking, computer mediated communication), mobile technology (eg, iPhone), virtual worlds (eg, Second Life) and video games. In the area of time-based media, the group has substantial interest in digital film capture and editing, and manipulation on to fully animated 3D modelling techniques as used in games and feature films.

Research Themes:
- E-Learning Technology (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=1)

- Medical Multimedia Applications and Telemedicine (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=2)

- Human Computer Interaction and Social Computing (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=3)

- Computer Animation and Digital Visual Effects (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=4)

- Mobile Application Design and Development (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=25)

- Digital Arts (http://www.eda.kent.ac.uk/research/theme_detail.aspx?gid=1&tid=26)

Research areas

- Intelligent Interactions

The Intelligent Interactions group has interests in all aspects of information engineering and human-machine interactions. It was formed in 2014 by the merger of the Image and Information Research Group and the Digital Media Research Group.

The group has an international reputation for its work in a number of key application areas. These include: image processing and vision, pattern recognition, interaction design, social, ubiquitous and mobile computing with a range of applications in security and biometrics, healthcare, e-learning, computer games, digital film and animation.

- Social and Affective Computing
- Assistive Robotics and Human-Robot Interaction
- Brain-Computer Interfaces
- Mobile, Ubiquitous and Pervasive Computing
- Sensor Networks and Data Analytics
- Biometric and Forensic Technologies
- Behaviour Models for Security
- Distributed Systems Security (Cloud Computing, Internet of Things)
- Advanced Pattern Recognition (medical imaging, document and handwriting recognition, animal biometrics)
- Computer Animation, Game Design and Game Technologies
- Virtual and Augmented Reality
- Digital Arts, Virtual Narratives.

Careers

We have developed our programmes with a number of industrial organisations, which means that successful students are in a strong position to build a long-term career in this important discipline. You develop the skills and capabilities that employers are looking for, including problem solving, independent thought, report-writing, time management, leadership skills, team-working and good communication.

Kent has an excellent record for postgraduate employment: over 94% of our postgraduate students who graduated in 2013 found a job or further study opportunity within six months.

Building on Kent’s success as the region’s leading institution for student employability, we offer many opportunities for you to gain worthwhile experience and develop the specific skills and aptitudes that employers value.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

Read less
This one-year degree is designed for students who already hold a first degree (BA or BSc) in Forensic Anthropology or a related subject, and is intended to provide advanced training in subject areas which are germane to current professional requirements, but which are not available collectively at any other institution in the world. Read more
This one-year degree is designed for students who already hold a first degree (BA or BSc) in Forensic Anthropology or a related subject, and is intended to provide advanced training in subject areas which are germane to current professional requirements, but which are not available collectively at any other institution in the world.

Why study Anatomy & Advanced Forensic Anthropology at Dundee?

Forensic anthropology is the analysis of human remains for the medico-legal purpose of establishing identity. The discipline has adopted a pivotal role in UK and International investigations in cases of inter-personal violence and homicide, repatriation, mass disasters and war crimes.

Recent mass fatality incidents have highlighted the requirement for national and international disaster victim identification (DVI) capability, and cemented the forensic anthropologist’s role as a significant component within the multi-disciplinary response facility.

Traditionally the forensic anthropologist has dealt with human skeletal remains resulting from unexplained deaths; this professional definition is unrealistically restrictive given the multi-disciplinary nature of the demands of human identification in the twenty-first century. In particular there is a significant requirement for anatomically-trained forensic anthropologists who are competent in dealing with both soft and hard tissues in order to fulfil the requirements of DVI deployment.

Centre for Anatomy and Human Identification

This course is taught within the Centre for Anatomy and Human Identfication (CAHID) and is located in the Medical Sciences Institute at the University of Dundee, Scotland.

Prof Sue Black heads the Centre, she was awarded an OBE for her International Human Identification work from mass graves and co-authored Developmental Juvenile Osteology and The Juvenile Skeleton.

The award-winning staff of this Centre are amongst the most experienced in the UK in the fields of human identification, forensic anthropology, craniofacial identification and the study of the human body.

The core remit of the Centre is the study of anatomy. The Centre delivers high quality anatomy teaching at all levels, via whole body dissection which allows students to develop a sound knowledge of the human body. The Centre relies on the generosity of donors for the ability to teach students to the highest standard possible.

The Centre was awarded a prestigious Queen's Anniversary Prize for Higher Education in November 2013. Presented in recognition of 'world class excellence', the Queen’s Anniversary Prizes are among the

Aims of the Programme

The aim of this programme is to provide training in anatomically-based forensic anthropology, and specifically to provide advanced training in musculoskeletal anatomy, juvenile osteology, comparative forensic osteology and DVI training.

What you will study

Course Structure:
This is a one year full time taught Masters programme in which all modules are compulsory. The research dissertation can be in the form of original laboratory research in an area pertinent to anatomy and forensic anthropology.

Human Gross Anatomy (Semesters 1 & 2):
Provides the opportunity to conduct whole body dissection, with particular emphasis on functional and musculoskeletal anatomy
Exposure to human form and function with direct relevance to the identification process
Only institution in the UK offering the opportunity to dissect cadavers which have been embalmed using the Thiel soft-fix method, which provides life-like preservation of the soft tissues.

Developmental Juvenile Osteology (Semester 1):
Focuses on the development of the human juvenile skeleton as a means to understanding adult skeletal form
Through practical examination, each bone of the body will be studied from its embryological origin, through key developmental milestones, until the attainment of its adult form
Practical sessions will focus on the unique Scheuer collection of juvenile skeletal remains.
Forensic Anthropology as Expert Evidence

Covering the more specialised skills including forensic anatomy, trauma analysis and age estimation in the living this module will cover the skills required to present your analyses in a court of law.

Disaster Victim Identification (DVI) training (Semesters 1 & 2):
Provides a thorough understanding of the DVI process in the UK and abroad
Developed by experienced practitioners, it is based on the National DVI Training course for the UK DVI team
Delivers a robust theoretical underpinning for anyone undertaking DVI work on a practical basis.

MSc Research Project (Semester 3):
Students will undertake an advanced level practical project supervised by a research-active practitioner
CAHID staff have significant experience in many areas of forensic human identification, including juvenile osteology, facial anthropology, facial reconstruction, age assessment in the living and dead, analysis of sexual dimorphism and ancestry, soft tissue biometric systems, human provenance, skeletal pathology and trauma, and virtual anthropology

How you will be assessed

A variety of assessment methods will be employed including practical spot exams, online assessment and traditional essay based examination.

Careers

There is a significant requirement for anatomically-trained forensic anthropologists who are competent in dealing with both soft and hard tissues in order to fulfill the requirements of DVI deployment. This degree will train individuals to be competent in specialist areas of anatomy and forensic anthropology.

Read less
Areas of research include, but are not limited to. evaluation of spacial heterogeneity for the design and layout of experimental sites. Read more
Areas of research include, but are not limited to: evaluation of spacial heterogeneity for the design and layout of experimental sites.
The course

This course builds on the Engineering Department’s long history of working closely with industry teaching students how to apply engineering science to industrial product design. Mechatronics is a multi-disciplinary field of engineering that combines with mechanical, electronic, computer, software, control and systems design engineering in the design and manufacture of useful products. It is an increasingly important discipline as most modern vehicles and machinery incorporate multiple mechatronic systems.

Some of the technologies that mechatronics encompasses include: robotics, vision systems, satellite navigation systems, communications technology, and biometric and other new advanced sensors. Introduction of these new technologies means that engineers cannot rely upon prior knowledge when designing machinery. As a consequence it has become normal practice for new highly technical equipment to be developed by specialist manufacturers, either through subcontract subsystem devolution or commercial partnership.

When developing new products, much of the work of the engineer involves the recombination or reapplication of previously un-combined technologies to solve new problems or enable new functionalities. Engineers therefore need to develop the greatest possible body of knowledge as a resource to call upon during the resolution of novel challenges in new or different environments.

This postgraduate programme builds upon students’ existing engineering skills and knowledge developed through prior education and focuses them into a more specific and applied area of study. This approach is designed to allow students to expand their applied knowledge and develop the necessary powers of analysis required to solve complex design problems. Learning largely takes place through a series of individual and group engineering projects intended to enable students to apply their existing academic skills and knowledge to the design, fabrication and testing of new products or systems. Where applicable, projects will be sponsored and supported by engineering companies and will focus on the development of mechatronic systems, machinery and equipment.

How will it benefit me?

This programme is designed for students with a strong academic background but limited industrial experience. It is intended to expedite the experiential development of these engineers through a series of industrially linked projects. Students will complete the course with a view to taking leading positions in manufacturing companies designing innovative machinery and equipment by employing new and emerging technologies to develop mechatronic systems, machinery and solutions.

Careers

This course provides an understanding of the practical application of engineering science and mathematics to the development of mechatronic systems. It is designed to aid students with good engineering qualifications, but limited applied industrial experience, learn the skills to take leading positions in manufacturing companies designing innovative machinery and equipment by employing new and emerging technologies to develop mechatronic systems, machinery and solutions.

Read less
Investigating the true nature of intelligence is one of today’s most fascinating research avenues. Advances in the study of cognitive processes and models, natural language and perception, human knowledge, representation, and reasoning attest to this. Read more

Investigating the true nature of intelligence is one of today’s most fascinating research avenues. Advances in the study of cognitive processes and models, natural language and perception, human knowledge, representation, and reasoning attest to this. One of the scientific community’s key research objectives is the development of an intelligent robot. The Master of Artificial Intelligence explores and builds on this challenge, will you?

What's the Master of Artificial Intelligence about? 

The Master of Artificial Intelligence programme at KU Leuven explores and builds on these fascinating challenges. For many years, it has provided an internationally acclaimed advanced study programme in artificial intelligence. The multidisciplinary programme trains students from a variety of backgrounds - including engineering, sciences, economics, management, psychology, and linguistics - in all areas of knowledge-based technology, cognitive science, and their applications. The one-year programme, taught entirely in English, is the result of a collaboration between many internationally prominent research units from seven different faculties of the university. It allows you to focus on engineering and computer science, cognitive science, or speech and language technology.

Objectives

The AI program aims at instructing and training students on state of the art knowledge and techniques in Artificial Intelligence, with specific focus either on Engineering and Computer Science (ECS), on Speech and Language Technology (SLT) or on Big Data Analytics (BDA), depending on the selected option within the program. It aims at introducing the students to the concepts, methods and tools in the field.

It aims at instructing students on the achievements in a number of advanced application areas and make them familiar with their current research directions. It aims to bring students to a level of knowledge, understanding, skills and experience that are needed to actively conduct basic or applied research on an international level. In particular, it aims to provide students with a critical scientific attitude towards the central themes of A.I.

As a master-after-master program, it is assumed that the students entering this program have already achieved the general skills and attitudes defined for any master program. Nevertheless, it is also within the aims of the program to further strengthen the skills and attitudes, within the specific scientific context that AI offers.

ECS-option: In the ECS option, in addition to the above, the program aims at instilling a problem-solving attitude towards the practice of AI. Upon completion of the program, students should be familiar with the fundamentals of AI, be aware of its reasonable expectations, have practical experience in solving AI-problems and be acquainted with a number of advanced areas within the field.

SLT-option: In the SLT-option, in addition to the general aims, the program aims to provide all necessary background and skills which are required to fully understand and to actively participate in the fast developing multi-disciplinary field of Language and Speech. This includes a thorough understanding of the theories and models that shape the field, as well as practical experience with a variety of technologies that are used and currently developed.

BDA-option: In the BDA-option, in addition to the general aims, the program aims for the same additional goals as the ECS-option, but specialized to Big Data Analytics. In particular, it aims at instilling a problem-solving attitude towards the practice of Big Data Analytics. Upon completion of the program, students should be familiar with the fundamentals of Big Data Analytics, be aware of its reasonable expectations, have practical experience in solving BDA-problems and be acquainted with a number of advanced areas within the AI-subfield of BDA.

Career perspectives

With a Master's degree in artificial intelligence you will be welcomed by companies working in:

Information technology

  • Information technology
  • Data mining and Big Data
  • Speech and language technology
  • Intelligent systems
  • Diagnosis and quality control
  • Fraud detection
  • Biometric systems

You will also be qualified to work in banking or provide support for the process industry, biomedicine and bioinformatics, robotics and traffic systems. Some graduates go on to begin a PhD programme.



Read less
The academic staff in the Applied Computing Department (ACD) are all engaged in research and publications. Considering its modest size, ACD has successfully attracted research funding from various sources in the UK and the EU, including industry, research councils, HEA and EU framework projects such as FP6. Read more

Research programme

The academic staff in the Applied Computing Department (ACD) are all engaged in research and publications. Considering its modest size, ACD has successfully attracted research funding from various sources in the UK and the EU, including industry, research councils, HEA and EU framework projects such as FP6. Furthermore, ACD has been working and collaborating with many European research institutions.

For the academic year 2012-2013, 2 DPhil and 6 MSc students (1 in Mathematics) have graduated, four of whom graduated with Distinction. The 2 DPhil students have made it for the March graduation and we expect to have 3 or 4 more completing their DPhil research programmes for the next graduation. One of our new MPhil/DPhil students in Computing joined the Department last October, and 3 other MPhil/DPhil students have joined us since. Over the last few years, the number of research students in ACD has grown steadily to (currently) 29 PhD and 2 Master’s research students.

We have had over 20 refereed conference and journal papers published during the last 12 months, and two of the papers have been awarded best paper awards.

ACD supports diverse research topics addressing varied applied computing technologies such as:

- Image processing and pattern recognition with applications in biometric-based person identification, image super-resolution, digital watermarking and steganography, content-based image / video indexing and retrieval, biomedical image analysis.
- Multi-factor authentication and security algorithms.
- Wireless networks technologies (Multi-frequency Software-Defined / Cognitive Radios, convergence and integration of different wireless technologies and standards such as WiFi and WiMax, IPv4 and IPv6, wireless mesh technologies, intrusion detection and prevention, efficiency and stability of ad hoc networks).
- Hybrid navigation and localisation integrations for mobile handsets, including using Cellular and WiFi in conjunction with GPS and Glonass for seamless positioning indoors, Multiplexed receive chain of GPS/Glonass with on-board handset Bluetooth/WiFi, GNSS signals multiplexing for real time simulation.
- Cloud computing, including the readiness of mobile operating systems for cloud services and focusing on techniques for fast computing handovers, efficient virtualisation and optimised security algorithms.
- Data mining techniques, including database systems, the application of data mining techniques in image and biological data, human-computer interaction and visual languages.
- Research and development of Apps for mobile devices and smart TVs, particularly for application in the areas of education and healthcare.
- Differential geometry – Einstein metrics, quasi-Einstein metrics, Ricci solitons, numerical methods in differential geometry.

As well as researching the chosen subject, our students engage in delivering seminars weekly, attending conferences and workshops, attending online webinars and discussion forums, attending training and focused group studies, supervising tutorial and laboratory sessions for undergraduate students, peer reviews and final year project supervision, among a host of technical and networking activities to enhance their skills and techniques.

Find out more about our Department of Applied Computing on http://www.buckingham.ac.uk/appliedcomputing.
Apply here http://www.buckingham.ac.uk/sciences/msc/computingresearch.

Read less
Recent years breakthrough discoveries in health sciences have generally been achieved by effective cooperation between interdisciplinary research teams, which included members from medicine, basic sciences and engineering. Read more
Recent years breakthrough discoveries in health sciences have generally been achieved by effective cooperation between interdisciplinary research teams, which included members from medicine, basic sciences and engineering. Such a cooperation provides a broad visionary approach and strong scientific basis for a better understanding of the health related problems and allows the development of novel technologies to improve the quality of life.
Koç University Biomedical Sciences and Engineering (BMSE) MS and PhD programs have been developed with this philosophy in mind and offer unique, truly interdisciplinary graduate education and leading edge research opportunities for students with different disciplines, which include basic sciences (chemistry, physics and biological sciences) engineering (chemical, mechanical and electrical engineering), medicine and related health sciences programs and provide them with the vision, knowledge and tools to become the future leaders.

Current faculty projects and research interests:

• Computational and Quantative Biology
• Biometric Materials and Islet Cell Bioengineering
• Robıtics and Mechanics
• Computational Biology and Bioinformatics
• Molecular biochemistry
• Computational Systems
• Biofluids and Cardiovascular Mechanics
• Polymer Science and Technology
• Mitochondrial Biogenesis
• Cell Biology
• Microphotonics
• Optofluidic and Nano-Optics

Read less
The far STEM route is for chemistry, biotechnology, biochemistry, food science or similar first degrees where statistical analysis was a dominant feature of their analytical studies. Read more
The far STEM route is for chemistry, biotechnology, biochemistry, food science or similar first degrees where statistical analysis was a dominant feature of their analytical studies. You will spend four semesters studying towards a General Engineering Transition Masters, studying appropriate Level 5 modules in the first semester then joining the Near STEM cohort, again with the opportunity to specialise in the above options at L6 or L7.7.

Electrical and Electronics degrees available through the Transition Masters:
-MSc in Embedded Intelligent Systems
-MSc in Radio and Mobile Communication System
-MSc in Microelectronics and Computer Engineering
-MSc in Power Electronics and Control
-MSc in Mechatronics
-MSc in Communications and Information Engineering

Why choose this course?

The School has over 25 years' experience of teaching electronic engineering and has established an excellent international reputation in this field;We offer extensive lab facilities for engineering students, including the latest software packages;Study leading-edge applications such as biometric authentication and speech-based interaction.

Structure

Year 1
Core Modules
-Computer Architecture Design
-Computer Programming for Electronics Engineers
-Digital Design & Embedded Systems
-Digital Signal Processing and Processes
-Electrical and Electronic Theory
-Electronic Engineering Practice
-Engineering Application of Mathematics
-Operations Management

Year 2
Core Modules
-Advanced Reconfigurable Systems and Applications-
-Artificial Intelligence
-Individual Masters Project
-Manufacturing Strategy
-Microelectronics and VLSI
-Operations Research
-Quality Reliability & Maintenance

Read less
The near STEM route is for admission of mathematics, physics, astrophysics or other relevant first degree candidates and whose programme would have made extensive use of applied mathematics to design and explain engineering and/or scientific concepts. Read more
The near STEM route is for admission of mathematics, physics, astrophysics or other relevant first degree candidates and whose programme would have made extensive use of applied mathematics to design and explain engineering and/or scientific concepts. After accreditation of prior experiential learning (APEL) at Level 5, you will spend three semesters studying towards a General Engineering Transition Masters with the opportunity to specialise in the above options at Level 6 and/or 7.

The Electronics and Communications MScs are also accredited by the Institution of Engineering and Technology (IET) as meeting the academic requirements for Chartered Engineer status.

To obtain a Master's degree, you will need to complete an in-depth independent research project.

Courses

-MSc in Embedded Intelligent Systems
-MSc in Radio and Mobile Communication System
-MSc in Microelectronics and Computer Engineering
-MSc in Power Electronics and Control
-MSc in Mechatronics
-MSc in Communications and Information Engineering

Why choose this course?

The School has over 25 years' experience of teaching electronic engineering and has established an excellent international reputation in this field;We offer extensive lab facilities for engineering students, including the latest software packages;Study leading-edge applications such as biometric authentication and speech-based interaction.

Teaching methods

Our enthusiastic staff is always looking for new ways to enhance your learning experience and over recent years, we have won national awards for our innovative teaching ideas. In addition our staff are active in research and useful elements of it are reflected on the learning experience. Learning tools such as StudyNet, unique to the University of Hertfordshire, are extremely useful for the learning environment of the student.

Structure

Year 1
Core Modules
-Digital Design & Embedded Systems
-Digital Mobile Communication Systems
-Information Theory and DSP in Communications
-Operations Management
-Optical Communication Technologies
-Quality Reliability & Maintenance
-Sustainability and Smart Systems Engineering
-Wireless, Mobile and Ad-hoc Networking

Year 2
Core Modules
-Advanced Reconfigurable Systems and Applications
-Individual Masters Project
-Microelectronics and VLSI

Read less

Show 10 15 30 per page



Cookie Policy    X