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Masters Degrees (Biostatistics And Bioinformatics)

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The aim of this programme is to provide individuals with a platform to explore, analyse and interpret contemporary biological data. Read more
The aim of this programme is to provide individuals with a platform to explore, analyse and interpret contemporary biological data. This course offers Masters level instruction in Bioinformatics with a focus on genomic bioinformatics. You will develop key skills for the analyses of omics data including genomics data from next generation sequencing technologies. Additional skills around emerging omics including metabolomics and proteomics will also be developed.

This programme has been designed with the needs of academic research, biotechnology and the pharmaceutical and health care industries in mind. We will provide instruction in computational and statistical biosciences and students will foster these additional complementary skills required to enable individuals to work effectively within a multidisciplinary bioinformatics arena.

Distinctive features

• This course was first established over a decade ago in response to the emerging informatics needs of the genetics and genomics communities following the completion of the first drafts of the human genome project. Subsequent advances in research technologies and analytic approaches have dictated the continuing evolution of this programme to provide contemporary instruction in these new essential skills.

• Providing a strong platform for students entering from the biological, mathematical or computational sciences, this course provides modules in core complementary areas such as in computation/scripting, statistics and molecular biology; the fundamental building blocks necessary to succeed in bioinformatic analysis and interpretation.

• As an introduction – you will be taught essential organisational and coding skills required for effective bioinformatics and biostatistical analysis.

• One of the unique components of this course is the extended instruction in statistics provided by the Statistics for Bioinformatics and Genetic Epidemiology module.

• You will also be introduced to the molecular and cellular biology behind the data. This is invaluable if you are entering from a non-life sciences background to make informed decisions around data interpretation.

• You will extend your bioinformatics studies by focusing on next generation sequencing technologies and other developing omics platforms such as proteomics and metabolomics.

We are committed to developing transferable skills and to improving graduate employability. We want highly capable graduate informaticians who can fulfil the growing bioinformatics needs of local, national and international employers.

Structure

The course can be completed in one year with full-time study or in three years by part-time study.

Both full-time and part-time students register initially for the MSc Bioinformatics and Genetic Epidemiology

A Postgraduate Certificate exit point is available for students successfully completing 60 credits of the taught element (module restrictions apply).

A Postgraduate Diploma exit point is available for students successfully completing 120 credits of the taught element (module restrictions apply).

Core modules:

Computing for Bioinformatics and Genetic Epidemiology
Statistics for Bioinformatics and Genetic Epidemiology
Introduction to Bioinformatics
Case Studies in Bioinformatics and Biostatistics
Next Generation Sequencing
Protein Biology and Omics
Dissertation in Bioinformatics

Teaching

The programme is delivered as face-2-face learning. You will find course materials, links to related materials and assessments via Cardiff University’s Virtual Learning Environment (VLE) ‘Learning Central'

Career Prospects

This programme has been designed with the needs of academic research, the biotechnology, pharmaceutical and health care industries in mind. Instruction in computational and statistical biosciences will enable individuals to work effectively within a multidisciplinary bioinformatics arena.

Read less
The aim of this programme is to provide individuals with the skills to explore, analyse and interpret contemporary biological data. Read more
The aim of this programme is to provide individuals with the skills to explore, analyse and interpret contemporary biological data. This course offers Masters level instruction in Bioinformatics and Genetic Epidemiology.

You will develop key skills necessary to analyse genomics data for gene discovery, including genomewide association studies (GWAS) and post-GWAS applications such as gene-set and polygenic genetic epidemiology analysis.

This programme has been designed for biomedical scientists and informaticians looking to undertake a career in academic research, the biotechnology, pharmaceutical or health care industries.

Distinctive features

• This course was first established over a decade ago as a response to the emerging informatics needs of the genetics and genomics communities following the completion of the first drafts of the human genome project. Subsequent advances in research technologies and analytic approaches have dictated the continuing evolution of this programme to provide contemporary instruction in these new essential skills

• Providing a strong platform for students entering from the biological, mathematical or computational sciences, this course provides modules in core complementary areas such as in computation/scripting, statistics and molecular biology; the fundamental building blocks necessary to succeed in bioinformatic analysis and interpretation

• As an introduction – you will be taught essential organisational and coding skills required for effective bioinformatics and biostatistical analysis.

• One of the unique components of this course is the extended instruction in statistics provided by the Statistics for Bioinformatics and Genetic Epidemiology module.

• You will also be introduced to the molecular and cellular biology behind the data within the Introduction to Bioinformatics Module. This is invaluable if you are entering from non-life sciences backgrounds to make informed decisions around data interpretation.

• You will extend your bioinformatics and biostatistics studies by focusing on the genetic epidemiology and gene discovery approaches including GWAS and copy-number variation (CNV) analysis, and post-GWAS approached such as pathway/network, gene-set and polygenic epidemiological methods.

• We are committed to developing transferable skills and to improving graduate employability. We want highly capable graduate informaticians who can fulfil the growing bioinformatics needs of local, national and international employers.   

Structure

The course can be completed in one year with full-time study or in three years by part-time study.

Both full-time and part-time students register initially for the MSc Bioinformatics and Genetic Epidemiology.

A Postgraduate Certificate exit point is available for students successfully completing 60 credits of the taught element (module restrictions apply).

A Postgraduate Diploma exit point is available for students successfully completing 120 credits of the taught element (module restrictions apply).

Core modules:

Computing for Bioinformatics and Genetic Epidemiology
Statistics for Bioinformatics and Genetic Epidemiology
Introduction to Bioinformatics
Case Studies in Bioinformatics and Biostatistics
Genetic Epidemiology - Association and Linkage
Post-GWAS Genetic Epidemiology
Dissertation in Genetic Epidemiology

Teaching

The programme is delivered as face-2-face learning. Students will find course materials, links to related materials and assessments via Cardiff University’s Virtual Learning Environment (VLE) ‘Learning Central'

Career Prospects

This programme has been designed with the needs of academic research, the biotechnology, pharmaceutical and health care industries in mind. Instruction in computational and statistical biosciences will enable individuals to work effectively within a multidisciplinary bioinformatics and genetic epidemiology arena.

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The two-year MSc Bioinformatics concerns a new scientific discipline with roots in computer science, statistics and molecular biology. Read more

MSc Bioinformatics

The two-year MSc Bioinformatics concerns a new scientific discipline with roots in computer science, statistics and molecular biology. Bioinformaticians apply information technology to store, retrieve and manipulate these data and employ statistical methods capable of analysing large amounts of biological data to predict gene functions and to demonstrate relationships between genes and proteins.

Programme summary

DNA contains information about life, but how is this information used? Biological data, such as DNA and RNA sequence information produced by next-generation sequencing techniques, is accumulating at an unprecedented rate. Life scientists increasingly use bioinformatics resources to address their specific research questions. Bioinformaticians bridge the gap between complex biological research questions and this complex data. Bioinformaticians use and develop computational tools to predict gene function(s) and to demonstrate and model relationships between genes, proteins and metabolites in biological systems. Bioinformatics is an interdisciplinary field that applies computational and statistical techniques to the classification, interpretation and integration of large-scale biological data sets. If different data types are joined then complex interactions in biological systems can be studied. The use of systems biology methods to study complex biological interactions offers a wealth of possibilities to understand various levels of aggregation and enables control of biological systems on different scales. Systems biology approaches are therefore quickly gaining importance in many disciplines of life sciences, such as in applied biotechnology where these methods are now used to develop strategies for improving production in fermentation. Other examples include bioconversion and enzymatic synthesis, and in the study of human metabolism and its alterations where systems biology methods are applied to understand a variety of complex human diseases, including metabolic syndromes and cancer. The Wageningen Master programme focuses on the practical application of bioinformatics and systems biology approaches in many areas of the Life Sciences. To ensure that students acquire a high level of understanding of modelling and computing principles, the students are trained in the fundamentals of database management, computer programming, structural and functional genomics, proteomics and systems biology methods. This training includes advanced elective courses in molecular biology and biostatistics.

Thesis tracks

Bioinformatics
The bioinformatics track focuses on the practical application of bioinformatics knowledge and skills in molecular life sciences. It aims at creating and using bioinformatics resources to address specific research questions. The knowledge and skills gained can be applied in many life science disciplines such as molecular & cell biology, biotechnology, (human) genetics, health & medicine and environmental & biobased technology.

Systems Biology
The systems biology track focuses on the study of the complex interactions in biological systems and on the emerging properties derived from these. Systems biology approaches to complex biological problems offer a wealth of possibilities to understand various levels of aggregation. It enables control of biological systems on completely different scales, ranging from the molecular cellular level to marine, plant, or animal ecosystems to a desired state. The knowledge and skills gained can be applied in many life science disciplines including molecular & cell biology, applied biotechnology, genetics, medicine and vaccine development, environmental and biobased technology.

Your future career

Bioinformatics and Systems Biology are new fast growing biology based interdisciplinary fields of research poorly served by the traditional curricula of Life Sciences. As demand has outpaced the supply of bioinformaticians, the first job after graduation is often a PhD project at a research institute or university. It is expected that five years after graduation, about one third will stay employed as a scientist at a university or research centre, while the others choose for careers at research-oriented pharmaceutical and biotechnological companies.

Alumnus Tom van den Bergh.
"It is sometimes difficult for doctors to diagnose genetic diseases caused by missense mutations. A missense mutation does not necessarily mean that you have the gene-associated disease and will become ill since not all missense mutations lead to appreciable protein changes." Tom created a database for Fabry’s disease for his final thesis. He wrote a computer programme that reads publications and stores all information about Fabry mutations in its database. Genetic researchers can, in turn, quickly access this database to determine if the mutation they found in a patient has already been addressed in literature and what the effects were.

Related programmes:
MSc Biotechnology
MSc Molecular Life Sciences
MSc Plant Biotechnology

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Molecular Pathology (MP) is a rapidly growing discipline in 21st century medicine. It integrates genomics and bioinformatics with modern pathology to underpin molecular diagnostics, theranostics as well as clinical trials delivery within the academic, health services and industry sectors in an era of precision medicine. Read more
Molecular Pathology (MP) is a rapidly growing discipline in 21st century medicine. It integrates genomics and bioinformatics with modern pathology to underpin molecular diagnostics, theranostics as well as clinical trials delivery within the academic, health services and industry sectors in an era of precision medicine.

This MSc is an exciting, innovative blended learning programme aimed to enhance the participant’s theoretical knowledge and practical skills in MP and to empower them to pursue a career in academia, healthcare or industry. The course has a strong focus on innovation and entrepreneurship; emphasising MP’s central role in molecular diagnostics, clinical trials and biotech/biopharma.

This Masters programme has been developed with a number of options in order to provide maximum flexibility of training. Candidates can take the Certificate/Diploma/MSc in Molecular Pathology of Cancer which will provide a solid foundation for those wishing to study MP at PhD level. The full-time MSc is also available as an intercalated degree for Medical and Dental students. Additionally, the three modules which are offered by Distance Learning are available as a ‘stand-alone’ Certificate in Pathology Informatics and Business Application.



Semester 1

All candidates will undertake traditional ‘face to face’ teaching for the three modules in Semester 1. This will be timetabled teaching. Some of the teaching sessions within the modules also form aspects of formal teaching for other PG programmes, providing the students with the opportunity to interact with other Masters students from different disciplines, which we feel enhances the student experience. Collectively, the modules would be sufficient for a Certificate in Molecular Pathology

(1) Cancer Biology, Immunology and Genomics (15 CATs)

(2) Molecular Pathology – Diagnostics and Technologies (25 CATs)

(3) Translational Research (20 CATs)



Semester 2

Candidates will complete three modules which will be available ‘online’ as distance learning modules. Successful completion of Semester 1 modules plus Semester 2 modules without the research dissertation would be sufficient for a Diploma in Molecular Pathology. Collectively, the modules in Semester 2 without the Semester 1 modules would be sufficient for a Certificate in Pathology Informatics and Business Application.

(1) Digital Molecular Pathology (20 CATs)

(2) Biostatistics and Bioinformatics (20 CATs)

(3) Academia/Industry Interface (20 CATs)



Research component

Students will be able to plan their research project and work on their literature review during semester 1; beginning the practical work for their research project in Semester 2. Research projects will be available across a variety of subjects. Potential project areas for the MSc will include – Molecular Neuropathology; Cancer Immunology; Liquid Biopsies; Digital Pathology; Biobanking; Molecular Diagnostics; Bioinformatics. A number of projects will be put forward from the network of CRUK Accelerator Partners for those students with CRUK Accelerator bursaries who may wish to undertake their research as a placement at one of the partner sites.

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Molecular Pathology (MP) is a rapidly growing discipline in 21st century medicine. It integrates genomics and bioinformatics with modern pathology to underpin molecular diagnostics, theranostics as well as clinical trials delivery within the academic, health services and industry sectors in an era of precision medicine. Read more
Molecular Pathology (MP) is a rapidly growing discipline in 21st century medicine. It integrates genomics and bioinformatics with modern pathology to underpin molecular diagnostics, theranostics as well as clinical trials delivery within the academic, health services and industry sectors in an era of precision medicine.

This Certificate is an exciting, innovative distance learning programme aimed to enhance the participant’s theoretical knowledge and practical skills in MP and to empower them to pursue a career in academia, healthcare or industry. The course has a strong focus on innovation and entrepreneurship; emphasising MP’s central role in molecular diagnostics, clinical trials and biotech/biopharma.


Candidates will complete three modules which will be available ‘online’ as distance learning modules.

(1) Digital Molecular Pathology (20 CATs)

(2) Biostatistics and Bioinformatics (20 CATs)

(3) Academia/Industry Interface (20 CATs)

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Life Sciences is one of the strategic research fields at the University of Helsinki. The multidisciplinary Master’s Programme in Life Science Informatics (LSI) integrates research excellence and research infrastructures in the Helsinki Institute of Life Sciences (HiLIFE). Read more
Life Sciences is one of the strategic research fields at the University of Helsinki. The multidisciplinary Master’s Programme in Life Science Informatics (LSI) integrates research excellence and research infrastructures in the Helsinki Institute of Life Sciences (HiLIFE). As a student, you will gain access to active research communities on three campuses: Kumpula, Viikki, and Meilahti. The unique combination of study opportunities tailored from the offering of the three campuses provides an attractive educational profile. The LSI programme is designed for students with a background in mathematics, computer science and statistics, as well as for students with these disciplines as a minor in their bachelor’s degree, with their major being, for example, ecology, evolutionary biology or genetics.

As a graduate of the LSI programme you will:
-Have first class knowledge and capabilities for a career in life science research and in expert duties in the public and private sectors.
-Competence to work as a member of a group of experts.
-Have understanding of the regulatory and ethical aspects of scientific research.
-Have excellent communication and interpersonal skills for employment in an international and interdisciplinary professional setting.
-Understand the general principles of mathematical modelling, computational, probabilistic and statistical analysis of biological data, and be an expert in one specific specialisation area of the LSI programme.
-Understand the logical reasoning behind experimental sciences and be able to critically assess research-based information.
-Have mastered scientific research, making systematic use of investigation or experimentation to discover new knowledge.
-Have the ability to report results in a clear and understandable manner for different target groups.
-Have good opportunities to continue your studies for a doctoral degree.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

Programme Contents

The Life Science Informatics Master’s Programme has six specialisation areas, each anchored in its own research group or groups.

Algorithmic Bioinformatics
Goes with the Genome-scale algorithmics, Combinatorial Pattern Matching, and Practical Algorithms and Data Structures on Strings research groups. This specialisation area educates you to be an algorithm expert who can turn biological questions into appropriate challenges for computational data analysis. In addition to the tailored algorithm studies for analysing molecular biology measurement data, the curriculum includes general algorithm and machine learning studies offered by the Master's Programmes in Computer Science and Data Science.

Applied Bioinformatics
Jointly with The Institute of Biotechnology and genetics. Bioinformatics has become an integral part of biological research, where innovative computational approaches are often required to achieve high-impact findings in an increasingly data-dense environment. Studies in applied bioinformatics prepare you for a post as a bioinformatics expert in a genomics research lab, working with processing, analysing and interpreting Next-Generation Sequencing (NGS) data, and working with integrated analysis of genomic and other biological data, and population genetics.

Biomathematics
With the Biomathematics research group, focusing on mathematical modelling and analysis of biological phenomena and processes. The research covers a wide spectrum of topics ranging from problems at the molecular level to the structure of populations. To tackle these problems, the research group uses a variety of modelling approaches, most importantly ordinary and partial differential equations, integral equations and stochastic processes. A successful analysis of the models requires the study of pure research in, for instance, the theory of infinite dimensional dynamical systems; such research is also carried out by the group.

Biostatistics and Bioinformatics
Offered jointly by the statistics curriculum, the Master´s Programme in Mathematics and Statistics and the research groups Statistical and Translational Genetics, Computational Genomics and Computational Systems Medicine in FIMM. Topics and themes include statistical, especially Bayesian methodologies for the life sciences, with research focusing on modelling and analysis of biological phenomena and processes. The research covers a wide spectrum of collaborative topics in various biomedical disciplines. In particular, research and teaching address questions of population genetics, phylogenetic inference, genome-wide association studies and epidemiology of complex diseases.

Eco-evolutionary Informatics
With ecology and evolutionary biology, in which several researchers and teachers have a background in mathematics, statistics and computer science. Ecology studies the distribution and abundance of species, and their interactions with other species and the environment. Evolutionary biology studies processes supporting biodiversity on different levels from genes to populations and ecosystems. These sciences have a key role in responding to global environmental challenges. Mathematical and statistical modelling, computer science and bioinformatics have an important role in research and teaching.

Systems Biology and Medicine
With the Genome-scale Biology Research Program in Biomedicum. The focus is to understand and find effective means to overcome drug resistance in cancers. The approach is to use systems biology, i.e., integration of large and complex molecular and clinical data (big data) from cancer patients with computational methods and wet lab experiments, to identify efficient patient-specific therapeutic targets. Particular interest is focused on developing and applying machine learning based methods that enable integration of various types of molecular data (DNA, RNA, proteomics, etc.) to clinical information.

Selection of the Major

During the first Autumn semester, each specialisation area gives you an introductory course. At the beginning of the Spring semester you are assumed to have decided your study direction.

Programme Structure

Studies amount to 120 credits (ECTS), which can be completed in two years according to a personal study plan.
-60 credits of advanced studies from the specialisation area, including a Master’s thesis, 30 credits.
-60 credits of other studies chosen from the programme or from other programmes (e.g. computer science, mathematics and statistics, genetics, ecology and evolutionary biology).

Internationalization

The Life Science Informatics MSc is an international programme, with international students and an international research environment. The researchers and professors in the programme are internationally recognized for their research. A significant fraction of the teaching and research staff is international.

As a student you can participate in an international student exchange programme, which offers the possibility to include international experience as part of your degree. Life Science Informatics itself is an international field and graduates can find employment in any country.

In the programme, all courses are given in English. Although the Helsinki region is very international and English is widely spoken, you can also take courses to learn Finnish via the University of Helsinki’s Language Centre’s Finnish courses. The Language Centre also offers an extensive programme of foreign language courses for those interested in learning new languages.

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We have a strong international reputation for making original contributions to Bayesian methodology, bioinformatics and biostatistics. Read more
We have a strong international reputation for making original contributions to Bayesian methodology, bioinformatics and biostatistics. We invite postgraduate research proposals in any of these three areas.

As a research postgraduate in the School of Mathematics and Statistics you will be supported by a team of experts in your chosen field. You will also have the opportunity to develop and enhance your skill set through appropriate research training.

To help you identify a topic and potential supervisor, we encourage you to find out more about our staff specialisms and read about the PhD projects undertaken by some of our recent postgraduate students. A list of example statistical projects currently offered is also available.

As a PhD student you will be supported by team supervision. You will also go through a research training analysis to identify any skills that you need to develop.

Attendance is flexible and agreed between you and your supervisors depending on the requirements of your research project. You are expected to undertake 40 hours of work per week, with an annual holiday entitlement of 35 days (including statutory and bank holidays).

Research areas

We have broad research interests covering applied and medical statistics, and a lively seminar programme.

Our work breaks down into the following research groups:
-Bayesian statistics
-Biostatistics
-Statistical bioinformatics and stochastic systems biology

Research funding

We undertake projects funded by the Research Councils, major trusts, government departments and the EU. Since 2008, members of the School have been named on over £16m of research awards. Many of these awards were for large interdisciplinary projects, in which the School played a vital role, including:
-A £5.5m Engineering and Physical Sciences Research Council grant to explore the potential of microorganisms to provide clean water
-A £1.5m European Commission project to study eukaryotic genomic origins, parasites, and the essential nature of mitochondria
-A £2.1m Medical Research Council funded project on ways to advance health and wellbeing in later life

In total, £3.5m of funding was attributed to the School.

Facilities

We are located in the Herschel building which has well-equipped seminar and meeting rooms. You will have access to online research facilities via your own desktop PC in a shared postgraduate work space. There is also a teaching cluster (of about 150 PCs) within the School. Computing support is provided by two specialist technical staff who are expert in providing assistance with fast numerical and distributed processing.

As well as the library resources provided by the main Robinson Library, you will have access to the School's mathematics and statistics library and reading room.

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The field of Ecology, Evolution and Development describes how the molecular and genetic regulation of development changes in response to evolutionary forces to generate organismal diversity. Read more
The field of Ecology, Evolution and Development describes how the molecular and genetic regulation of development changes in response to evolutionary forces to generate organismal diversity. Understanding development, and its regulation in ecological and evolutionary contexts is critical for developing emerging molecular medical techniques, understanding biodiversity and tracing evolution.

See the website http://www.brookes.ac.uk/courses/postgraduate/ecology-evolution-and-development/

Why choose this course?

- Development of interdisciplinary research skills and experience.

- Opportunity to carry out an in-depth research project to address open questions in this field.

- Hands-on research driven training in field work, advanced wet laboratory techniques and state-of-the-art bioinformatics.

- Intensive one week introductory workshop for students from all backgrounds.

- Enhanced ability of graduates to successfully compete for PhD positions in the UK and internationally.

- Training will provide skills that will increase the employability of graduates in the biotechnology, commercial and health sectors.

- Teaching by world class researchers in this field with recognised excellence and experience in teaching and learning.

Teaching and learning

Teaching and learning methods used in the course reflect the wide variety of topics and techniques associated with ecology, evolution and development.

- Structure
This course is designed to provide you with both the conceptual framework of this interdisciplinary field and develop practical and academic skills as a platform for the research project. An intensive one week Research Methods module will introduce you to key topics and practical approaches. These are then elaborated on during the three other taught modules in Developmental Biology, Bioinformatics, and Molecular Ecology and Population Genetics, before the students embark on the research project. A variety of teaching and learning methods are employed in this course, all underpinned by research.

- Lectures
By providing the framework, essential background and knowledge base for each module, the lectures encourage you to probe more deeply by reading widely. Analysis, synthesis and application of material introduced in lectures are achieved through practical work in the field and laboratories, and in tutorials and seminars with your tutors and fellow students.

- Practical work
This offers you training and hands-on experience in important aspects of field and laboratory work, and computational biology. We ensure that teaching is up-to-date by integrating research findings in lectures and practical classes, and staff involved with major international developments in the field bring these advances to your teaching. An important component of the course is that you read and present key papers that emphasise the application of interdisciplinary approaches to their tutor and peers during tutorials.

- Guest seminars
During the Research Methods module, guest seminars provide you with the chance to hear about other areas of research in ecology, evolution and development. Emphasis is placed on critical evaluation of existing information and identifying knowledge gaps and areas of controversy, fostering the development of academic and research literacy, and developing your critical self-awareness.

- Research project
Standards that are expected in research are also widely taught and practised, developing your research literacy. You are provided with the opportunity to undertake substantial research specific activities in the Research Module, and undertake projects in labs with active research in this field.

- Digital literacy
This is enhanced by the use of advanced information retrieval techniques, data handling and the development of professional presentation techniques. Furthermore, you will develop skills in programming which underpin the application of state-of-the-art tools in bioinformatics and biostatistics.

How this course helps you develop

Training provided by this course will give you the research and transferable skills necessary for further research in field, lab and computational biology in both academic and industrial sectors. We anticipate that many of our graduates will go on to study for PhDs in the UK and abroad. In this respect, our programme will increase the opportunities for UK graduates to compete for PhD positions here and be eligible to apply for PhD programmes elsewhere in the EU. We also anticipate that, given their skills sets, our graduates will be highly competitive for employment in research support and sales, biotechnology, heath care, education, administration, and consultancy.

Careers

- PhD
- Employment in others sectors including biotechnology, healthcare and commercial.

Free language courses for students - the Open Module

Free language courses are available to full-time undergraduate and postgraduate students on many of our courses, and can be taken as a credit on some courses.

Please note that the free language courses are not available if you are:
- studying at a Brookes partner college
- studying on any of our teacher education courses or postgraduate education courses.

Research highlights

In the Research Excellence Framework (REF) 2014, 95% of our research in Biological Sciences was rated as internationally recognised, with 58% being world leading or internationally excellent. That makes us the top post’92 University for its Biological Sciences submission.

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Stratified Medicine holds huge potential in the timely development of new treatments for human disease. It is among the most important concepts to emerge in 21st century clinical science and will be a crucial component of the global drive to increase the efficacy, safety and cost effectiveness of new treatments. Read more
Stratified Medicine holds huge potential in the timely development of new treatments for human disease. It is among the most important concepts to emerge in 21st century clinical science and will be a crucial component of the global drive to increase the efficacy, safety and cost effectiveness of new treatments. This new taught postgraduate Masters programme draws on the current and future needs of the Life Sciences sector, to create a highly skilled workforce and is being developed in conjunction with the industrial partners of the Stratified Medicine Scotland Innovation Centre (SMS-IC). It harnesses Scotland’s strengths in Stratified Medicine, Clinical Trials, Bioinformatics and Pharmacogenomics to provide focused training which integrates basic and clinical sciences, and equips students with grounding in the essential skills required to design, execute and evaluate modern clinical interventions.

Why this programme

◾Students will be given the unique opportunity to undertake an industry placement as their main project. This fantastic opportunity will be offered by partner commercial organisations/companies and universities.
◾The programme will cover aspects of commercial innovation and entrepreneurial skills, together with the principles which underpin the emerging science at the interface between genetics and pharmacology.
◾Students on the programme will undergo theoretical and practical training in state-of-the-art research processes, enabling an appreciation of how to applynovel stratified approaches, together with clinical pharmacological, regulatory and ethical principles to the optimisation of future clinical research and therapeutic practice.
◾Students will also gain an understanding of statistical methods used to evaluate the efficacy and cost-effectiveness of new treatments, and direct experience of how all of these techniques are applied by academic and industrial researchers in the development of new medicines.
◾Following successful completion of the programme a joint master’s degree will be awarded.
◾The five stakeholder universities, Glasgow, Aberdeen, Strathclyde, Dundee and Edinburgh are internationally recognised as leaders in biomedical research, hosting highly collaborative and productive groups with the requisite expertise in pharmacology, clinical trial methodology, pharmacogenomics, and life sciences. This vibrant environment, coupled with Scotland’s tradition of excellence in clinical research and significant recent investment in the new science of Stratified Medicine make it the ideal place to acquire the transferrable skills required for a successful and fulfilling career in 21st century biomedicine.

Programme structure

This MSc degree is awarded jointly by the Universities of Glasgow, Aberdeen and Strathclyde. Courses included in this programme are delivered by these three institutions as well as the Universities of Dundee and Edinburgh. Students will be offered a choice of base institution, either Glasgow or Aberdeen. Each base campus has its own programme structure; however students from both campuses will study courses covering three themes totalling 120 credits. Sample course are included below. For the most up to date information on the courses available at each campus please contact

Scientific basis of stratified medicine
◾Small molecule drug discovery
◾Biological drug discovery
◾Pharmacogenomics and molecular medicine.

Commercialisation of science
◾Introduction to bio-business
◾Advanced bio-business
◾New venture creation
◾Regulation and governance of new therapies

Application of research and evaluation of new technologies
◾Clinical trials: principles and methods
◾Applied statistics with routine health datasets
◾Spatial epidemiology
◾Applied health economics

Project and Assessment

The project will account for the remaining 60 credits. All projects will either have an industrial placement or a project which addresses an industrial need. The programme will include an opportunity for all students to present the outcomes of their projects to an audience of other students, academics and industry representatives. Assessment will consist of submission of a dissertation and presentation

Career prospects

Graduates will be able to pursue careers in a variety of academic and industrial areas including clinical research, preclinical lab-based research, business development with expert knowledge in life sciences and bioinformatics/biostatistics.

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Translational Cancer Medicine enables you to gain detailed knowledge and understanding of research methods applied to rational drug design, clinical study design, molecular and cell biology, tumour immunology, genetics and cancer imaging. Read more
Translational Cancer Medicine enables you to gain detailed knowledge and understanding of research methods applied to rational drug design, clinical study design, molecular and cell biology, tumour immunology, genetics and cancer imaging. Practical experience gained through two six-month laboratory rotations.

Key benefits

- The range of topics including advanced imaging methods is unique for this translational cancer programme

- The sponsoring laboratories and departments all have international standing and have agreed to closely supervise the trainees

- Recently released data from the Higher Education Funding Council for England (Hefce) shows that King’s College London is equal top in England (with Queen Mary, University of London) for its PhD completion rates. This programme will potentially select candidates for the PhD programme within the Division of Cancer Studies

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/translational-cancer-medicine-mres.aspx

Course detail

- Description -

Overview of subjects covered:

• Biomarkers, biostatistics and modelling
• Breast cancer
• Cancer bioinformatics
• Cancer imaging (optical)
• Cancer imaging (PET)
• Clinical trials and translational research
• Gene discovery through to therapeutic applications
• Haemato-oncology and associated genetics/genomics
• Immunology of cancers
• Molecular pathology
• Signal transduction in cancers

- Course purpose -

The programme will provide students with a detailed knowledge and understanding of research methods applied to rational drug design, clinical study design, molecular and cell biology, tumour immunology, genetics and cancer imaging, all of which are relevant to Translational Cancer Research. In addition, practical experience will be gained through two laboratory rotations of six months duration.

- Course format and assessment -

Work with 2 supervisors and their teams, 6 months in each lab

Assignments:

• 30 credit taught module:

2-3 weekly lectures during first 3 months

Throughout the year, students also attend literature reviews and journal clubs that their labs/departments organise and any other internal or external seminars deemed relevant to their projects/assignments.

The assessment for this module is an essay on the fundamentals and the overall concept of Translational Cancer Medicine

• 75 credit laboratory based research project 1:

Assessed by a written dissertation, a seminar presentation and an oral examination

• 75 credit laboratory based research project 2:

Assessed by a draft of a paper of the standard and format required by a scientific journal.

Career prospects

Future PhD studies. Clinical and non-clinical academic careers in cancer medicine.

How to apply: http://www.kcl.ac.uk/study/postgraduate/apply/taught-courses.aspx

About Postgraduate Study at King’s College London:

To study for a postgraduate degree at King’s College London is to study at the city’s most central university and at one of the top 20 universities worldwide (2015/16 QS World Rankings). Graduates will benefit from close connections with the UK’s professional, political, legal, commercial, scientific and cultural life, while the excellent reputation of our MA and MRes programmes ensures our postgraduate alumni are highly sought after by some of the world’s most prestigious employers. We provide graduates with skills that are highly valued in business, government, academia and the professions.

Scholarships & Funding:

All current PGT offer-holders and new PGT applicants are welcome to apply for the scholarships. For more information and to learn how to apply visit: http://www.kcl.ac.uk/study/pg/funding/sources

Free language tuition with the Modern Language Centre:

If you are studying for any postgraduate taught degree at King’s you can take a module from a choice of over 25 languages without any additional cost. Visit: http://www.kcl.ac.uk/mlc

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The programme offers an opportunity for professionals in health care and related disciplines to develop the knowledge, understanding and competencies necessary to function more effectively in addition to mastering the advanced use of information technology skills in health care settings. Read more
The programme offers an opportunity for professionals in health care and related disciplines to develop the knowledge, understanding and competencies necessary to function more effectively in addition to mastering the advanced use of information technology skills in health care settings.

Programme Aims

The programme is the first of its kind in Hong Kong. It aims to equip health care professionals and students from health-related disciplines, information technology, engineering or related backgrounds with advanced information technology skills for health care settings. The course contents will address the needs of health care providers and allow for the introduction, re-orientation and/or conversion to a field that is of direct relevance to the student's place of employment.

Mode and Duration of Study

This is a credit-based mixed mode programme with a normal duration of study of 1 year for full-time study and 3 years for part-time study. The maximum duration of study is 6 years.

Programme Structure

Students need to complete 30 credits comprising 4 compulsory, 2 core and 1 elective subjects plus a dissertation (or students can choose another 3 core/elective subjects of the programme to replace the dissertation).

List of Taught Subjects

Compulsory subjects

‌•Electronic Patient Records http://fhss.polyu.edu.hk/docs/en/education/mschi/SN5023.pdf
‌•Epistemology http://fhss.polyu.edu.hk/docs/en/education/mschi/SN5024.pdf
‌•Information Technology in Health Care http://fhss.polyu.edu.hk/docs/en/education/mschi/SN6006.pdf
‌•Professional Development in Health Informatics http://fhss.polyu.edu.hk/docs/en/education/mschi/SN5303.pdf

Core subjects

‌•Applied Biosignal Processing http://fhss.polyu.edu.hk/docs/en/education/mschi/BME5115.pdf
‌•Business Intelligence and Data Mining http://fhss.polyu.edu.hk/docs/en/education/mschi/ISE5606.pdf
‌•Clinical Decision Making http://fhss.polyu.edu.hk/docs/en/education/mschi/HSS6004.pdf
‌•Computer Programming for Healthcare http://fhss.polyu.edu.hk/docs/en/education/mschi/HSS5308.pdf
‌•Data Mining and Data Warehousing Applications http://fhss.polyu.edu.hk/docs/en/education/mschi/COMP5121.pdf
‌•Digital Imaging and PACS http://fhss.polyu.edu.hk/docs/en/education/mschi/HTI5720.pdf
‌•Epidemiology
‌•Epidemiological Model Building for Healthcare and Risk Management
‌•Intelligent Information Systems http://fhss.polyu.edu.hk/docs/en/education/mschi/COMP5123.pdf
‌•Knowledge Management for Clinical Applications http://fhss.polyu.edu.hk/docs/en/education/mschi/HSS5304.pdf
‌•Principles of Knowledge Engineering and Management http://fhss.polyu.edu.hk/docs/en/education/mschi/ISE531.pdf
‌•Project Management http://fhss.polyu.edu.hk/docs/en/education/mschi/LGT5037.pdf

Elective subjects

‌•Advanced Database Systems
‌•Artificial Intelligence Concepts
‌•Bioinformatics in Health Sciences http://fhss.polyu.edu.hk/docs/en/education/mschi/HTI5052.pdf
‌•Clinical Research Methods
‌•Concepts of Health and Health Care http://fhss.polyu.edu.hk/docs/en/education/mschi/APSS581.pdf
‌•Database Systems and Management http://fhss.polyu.edu.hk/docs/en/education/mschi/COMP5111.pdf
‌•Enterprise Applications and Systems Management
‌•Ethics and Law in Clinical Practice
‌•Health Needs of the Community
‌•I‌nformation Security: Technologies and Systems http://fhss.polyu.edu.hk/docs/en/education/mschi/COMP5525.pdf
‌•Information System Development with Object-Oriented Methods http://fhss.polyu.edu.hk/docs/en/education/mschi/COMP5134.pdf
‌•Intellectual Property, Standard and Regulations of Medical Devices
‌•Internet Computing and Applications http://fhss.polyu.edu.hk/docs/en/education/mschi/COMP5322.pdf
‌•Internet Security: Principles and Practice
‌•Methods and Tools for Knowledge Management Systems http://fhss.polyu.edu.hk/docs/en/education/mschi/ISE543.pdf
‌•Quality Management of Health Care Services
‌•Rehabilitation Engineering
‌•Research Methods and Biostatistics
‌•Research Methods and Data Analysis http://fhss.polyu.edu.hk/docs/en/education/mschi/RS517.pdf
‌•Virtual Reality in Health Care http://fhss.polyu.edu.hk/docs/en/education/mschi/SN5307.pdf

Dissertation

‌•Dissertation http://fhss.polyu.edu.hk/docs/en/education/mschi/HSS5903.pdf

Admission and Application

For more information on admission to the MSc in Health Informatics programme, please click the links below:

Programme Leaflet http://fhss.polyu.edu.hk/docs/en/education/mschi/MScHI_leaflet_2016-17.pdf

e-Prospectus Entry and Online Application (Study@PolyU) http://www51.polyu.edu.hk/eprospectus/tpg/2016/06003-hif-hip

Definitive Programme Document; Dissertation Handbook and Forms (Intranet Access Only) http://fhss.polyu.edu.hk/en/education/mschi_info.html

Enquiries

For academic queries, please contact Dr. Thomas Choi
(Tel: 3400 3214; Email: )
For other matters, please contact Miss Rachel Tam
(Tel: 2766 4267; Email: )

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The Master's in Cancer, Stem Cells and Developmental Biology guides you in exploring the mysteries of embryonic growth, stem cells, evolution and development in relation to health and disease. Read more

Cancer, Stem Cells and Developmental Biology

The Master's in Cancer, Stem Cells and Developmental Biology guides you in exploring the mysteries of embryonic growth, stem cells, evolution and development in relation to health and disease.

This Master's programme combines research in the fields of oncology,molecular developmental biology and genetics in animals and humans. During the major (9 months) and minor (6 months) research projects on topics of your own choice, you learn sophisticated modern techniques of genomics, proteomics and bioinformatics. It is possible to complete the minor research project in a laboratory of your choice abroad. During the two year research programme, you are required to take 10 weeks of theoretical courses in the areas grouped in five broad subject areas. You may choose your favourite courses from the list of courses organized by our programme, as well as by other programmes and institutes. Moreover, you are required to attend seminars that present research covering the full range of topics related to biomedical and life sciences.

A final Master's thesis, based on literature research on a relevant topic, completes your programme. It should present a clear overview of recent literature on the topic of interest and demonstrate your ability to critically evaluate hypotheses and results, present your own views and draw conclusions that may lead to the formulation of new research goals.

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RESEARCH STRENGTHS AND FACILITIES. The Department of Medical Genetics Graduate Program is a leading program that attracts students from all over Canada and the world. Read more

Graduate Program

RESEARCH STRENGTHS AND FACILITIES
The Department of Medical Genetics Graduate Program is a leading program that attracts students from all over Canada and the world. The Program offers Master’s and Doctoral programs that take place in Vancouver, one of the world’s most livable cities, at locations affiliated with the University of British Columbia, an institution which is consistently ranked among the world’s best universities.

The Department is composed of dozens of faculty members at the forefront of their fields who use cutting edge genetic, epigenetic, genomic, and bioinformatic methodologies to gain insight into diseases such as cancer, diabetes, obesity, neurodegenerative and neurological disorders, and other genetic diseases. Research is highly interactive and often involves local, national, and international collaborations which further enrich the research experience.

Individual labs conduct clinical and/or translational research and basic experimental research engaging a wide variety of approaches including the use of model organisms such as mice, flies (D. melanogaster), worms (C. elegans), and yeast (S. cerevisiae). Prospective students with interests in the investigative areas below have an opportunity to pursue world class research in labs affiliated with the Medical Genetics Graduate Program.

Areas of Research

- Developmental genetics and birth defects
- Epigenetics and chromosome transmission
- Genomics and bioinformatics
- Genetic epidemiology and human gene mapping
- Neurogenetics and immunogenetics
- Stem cells and gene therapy
- Pharmacogenomics
- Clinical genetics, genetic counselling, ethics and policy

Quick Facts

- Degree: Master of Science
- Specialization: Medical Genetics
- Subject: Life Sciences
- Mode of delivery: On campus
- Program components: Coursework + Thesis required
- Faculty: Faculty of Medicine

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