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Biological Sciences×

Masters Degrees in Biometry

Masters degrees in Biometry are concerned with techniques to assess biological variation and predict outcomes of biological processes, for example immune responses. These include a number of quantifying techniques and computational experimentations such as bioinformatics and mathematical modelling.

Courses range from taught MSc degrees, to research-based MRes and MPhil programmes. Entry requirements normally include an undergraduate degree in a relevant field with a strong mathematical component.

Why study a Masters in Biometry?

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The Institute for Adaptive and Neural Computation (IANC) is a world-leading institute dedicated to the theoretical and empirical study of adaptive processes in both artificial and biological systems. Read more

Research profile

The Institute for Adaptive and Neural Computation (IANC) is a world-leading institute dedicated to the theoretical and empirical study of adaptive processes in both artificial and biological systems. We are one of the UK’s largest and most prestigious academic teams in these fields.

We foster world-class interdisciplinary and collaborative research bringing together a range of disciplines.

Our research falls into three areas:

-machine learning
-computational neuroscience
-computational biology

In machine learning we develop probabilistic methods that find patterns and structure in data, and apply them to scientific and technological problems. Applications include areas as diverse as astronomy, health sciences and computing.

In computational neuroscience and neuroinformatics we study how the brain processes information, and analyse and interpret data from neuroscientific experiments

The focus in the computational biology area is to develop computational strategies to store, analyse and model a variety of biological data (from protein measurements to insect behavioural data).

Training and support

You carry out your research within a research group under the guidance of a supervisor. You will be expected to attend seminars and meetings of relevant research groups and may also attend lectures that are relevant to your research topic. Periodic reviews of your progress will be conducted to assist with research planning.

A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies.

The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.

Facilities

The award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.

It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.

Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.

Among our entrepreneurial initiatives is Informatics Ventures, set up in 2008 to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.

Career opportunities

The research you will undertake at IANC is perfectly suited to a career in academia, where you’ll be able to use your knowledge to advance this important field. Some graduates take their skills into commercial research posts, and find success in creating systems that can be used in everyday applications.

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The University of Dundee has a long history of mathematical biology, going back to Professor Sir D'Arcy Wentworth Thompson, Chair of Natural History, 1884-1917. Read more

Mathematical Biology at Dundee

The University of Dundee has a long history of mathematical biology, going back to Professor Sir D'Arcy Wentworth Thompson, Chair of Natural History, 1884-1917. In his famous book On Growth and Form (where he applied geometric principles to morphological problems) Thompson declares:

"Cell and tissue, shell and bone, leaf and flower, are so many portions of matter, and it is in obedience to the laws of physics that their particles have been moved, molded and conformed. They are no exceptions to the rule that God always geometrizes. Their problems of form are in the first instance mathematical problems, their problems of growth are essentially physical problems, and the morphologist is, ipso facto, a student of physical science."

Current mathematical biology research in Dundee continues in the spirit of D'Arcy Thompson with the application of modern applied mathematics and computational modelling to a range of biological processes involving many different but inter-connected phenomena that occur at different spatial and temporal scales. Specific areas of application are to cancer growth and treatment, ecological models, fungal growth and biofilms. The overall common theme of all the mathematical biology research may be termed"multi-scale mathematical modelling" or, from a biological perspective, "quantitative systems biology" or"quantitative integrative biology".

The Mathematical Biology Research Group currently consists of Professor Mark Chaplain, Dr. Fordyce Davidson and Dr. Paul Macklin along with post-doctoral research assistants and PhD students. Professor Ping Lin provides expertise in the area of computational numerical analysis. The group will shortly be augmented by the arrival of a new Chair in Mathematical Biology (a joint Mathematics/Life Sciences appointment).

As a result, the students will benefit directly not only from the scientific expertise of the above internationally recognized researchers, but also through a wide-range of research activities such as journal clubs and research seminars.

Aims of the programme

1. To provide a Masters-level postgraduate education in the knowledge, skills and understanding of mathematical biology.
2. To enhance analytical and critical abilities and competence in the application of mathematical modeling techniques to problems in biomedicine.

Prramme Content

This one year course involves taking four taught modules in semester 1 (September-December), followed by a further 4 taught modules in semester 2 (January-May), and undertaking a project over the Summer (May-August).

A typical selection of taught modules would be:

Dynamical Systems
Computational Modelling
Statistics & Stochastic Models
Inverse Problems
Mathematical Oncology
Mathematical Ecology & Epidemiology
Mathematical Physiology
Personal Transferable Skills

Finally, all students will undertake a Personal Research Project under the supervision of a member of staff in the Mathematical Biology Research Group.

Methods of Teaching

The programme will involve a variety of teaching formats including lectures, tutorials, seminars, journal clubs, case studies, coursework, and an individual research project.

Taught sessions will be supported by individual reading and study.

Students will be guided to prepare their research project plan and to develop skills and competence in research including project management, critical thinking and problem solving, project reporting and presentation.

Career Prospects

The Biomedical Sciences are now recognizing the need for quantitative, predictive approaches to their traditional qualitative subject areas. Healthcare and Biotechnology are still fast-growing industries in UK, Europe and Worldwide. New start-up companies and large-scale government investment are also opening up employment prospects in emerging economies such as Singapore, China and India.

Students graduating from this programme would be very well placed to take advantage of these global opportunities.

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Course aims. This program aims to provide a comprehensive perspective of existing modelling approaches and contemporary methods of data analysis used in biology and ecology. Read more
Course aims
This program aims to provide a comprehensive perspective of existing modelling approaches and contemporary methods of data analysis used in biology and ecology.

The focus will be on design, analysis and implementation of mathematical models for problems arising in life sciences, with special emphasis on ecological applications.

By the end of the course, you will be able to formulate problems in mathematical terms, build relevant mathematical models of biological phenomena, apply an array of analytical tools and/or select and develop an appropriate numerical method, write a computer program for numerical simulations, and present and interpret the results for a potential client from the agriculture and nature conservation sector.

Course modules
Autumn term:
Scientific Computing
Data Mining
Applied Dynamical Systems
Patterns and Processes in Ecosystems

Spring term:
Topics in Mathematical Biology
Computational Methods for Partial Differential Equations

Plus two option modules from the following:
• Introductory Mathematical Neuroscience
• Research Presentation
• Algorithms for Bioinformatics
• Java and Databases for Bioinformatics
Option modules are subject to availability in each particular year. Course titles and content are subject to change.

After term two, you will be given a choice of research projects. A project is undertaken full-time, leading to an oral presentation and the submission of a dissertation by the middle of September. The projects are supervised by a member of the Department of Mathematics either alone or jointly with a member of the School of Bioscience or from a relevant industrial partner.

Teaching and assessments methods
The course will be taught by lectures, seminars, problem classes and workshops. Each module will be assessed by a mixture of continuous assessments and examinations.

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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/

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