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International Master's in Statistics - MSc. https://www.kent.ac.uk/courses/postgraduate/163/international-masters-statistics. Read more
International Master's in Statistics - MSc: https://www.kent.ac.uk/courses/postgraduate/163/international-masters-statistics

Overview

The International Master’s in Statistics develops your practical, statistical and computing skills to prepare you for a professional career in statistics or as a solid basis for further research in the area.

The programme has been designed to provide a deep understanding of the modern statistical methods required to model and analyse data. You will benefit from a thorough grounding in the ideas underlying these methods and develop your skills in key areas such as practical data analysis and data modelling.

It has been accredited by the Royal Statistical Society (RSS) and equips aspiring professional statisticians with the skills they need for posts in industry, government, research and teaching. It also enables you to develop a range of transferable skills that are attractive to employers within the public and private sectors.

Students whose mathematical and statistical background is insufficient for direct entry on to the appropriate programme, may apply for this course. The first year of the programme gives you a strong background in statistics, including its mathematical aspects, equivalent to the Graduate Diploma in Statistics. This is followed by the MSc in Statistics.

International Master's in Statistics with Finance - MSc: https://www.kent.ac.uk/courses/postgraduate/164/international-masters-statistics-finance

Overview

This programme, accredited by the Royal Statistical Society (RSS), equips aspiring professional statisticians with the skills they will need for posts in industry, government, research and teaching. It is suitable preparation too for careers in other fields requiring a strong statistical background.

Students whose mathematical and statistical background is insufficient for direct entry on to the appropriate programme, may apply for this course. The first year of the programme gives you a strong background in statistics, including its mathematical aspects, equivalent to the Graduate Diploma in Statistics. This is followed by the MSc in Statistics with Finance.

About the School of Mathematics, Statistics and Actuarial Science (SMSAS)

The School has a strong reputation for world-class research and a well-established system of support and training, with a high level of contact between staff and research students. Postgraduate students develop analytical, communication and research skills. Developing computational skills and applying them to mathematical problems forms a significant part of the postgraduate training in the School. We encourage all postgraduate statistics students to take part in statistics seminars and to help in tutorial classes.

The Statistics Group is forward-thinking, with varied research, and received consistently high rankings in the last two Research Assessment Exercises.

Statistics at Kent provides:

- a programme that gives you the opportunity to develop practical, mathematical and computing skills in statistics, while working on challenging and important problems relevant to a broad range of potential employers

- teaching and supervision by staff who are research-active, with established reputations and who are accessible, supportive and genuinely interested in your work

- advanced and accessible computing and other facilities

- a congenial work atmosphere with pleasant surroundings, where you can socialise and discuss issues with a community of other students.

Research areas

Biometry and ecological statistics
Specific interests are in biometry, cluster analysis, stochastic population processes, analysis of discrete data, analysis of quantal assay data, overdispersion, and we enjoy good links within the University, including the School of Biosciences and the Durrell Institute of Conservation and Ecology. A recent major joint research project involves modelling the behaviour of yeast prions and builds upon previous work in this area. We also work in collaboration with many external institutions.

Bayesian statistics
Current work includes non-parametric Bayes, inference robustness, modelling with non-normal distributions, model uncertainty, variable selection and functional data analysis.
Bioinformatics, statistical genetics and medical statistics
Research covers bioinformatics (eg DNA microarray data), involving collaboration with the School of Biosciences. Other interests include population genetics, clinical trials and survival analysis.

Nonparametric statistics
Research focuses on empirical likelihood, high-dimensional data analysis, nonlinear dynamic analysis, semi-parametric modelling, survival analysis, risk insurance, functional data analysis, spatial data analysis, longitudinal data analysis, feature selection and wavelets.

Careers

Students often go into careers as professional statisticians in industry, government, research and teaching but our programmes also prepare you for careers in other fields requiring a strong statistical background. You have the opportunity to attend careers talks from professional statisticians working in industry and to attend networking meetings with employers.

Recent graduates have started careers in diverse areas such as the pharmaceutical industry, financial services and sports betting.

Professional recognition

The taught programmes in Statistics and Statistics with Finance provide exemption from the professional examinations of the Royal Statistical Society and qualification for Graduate Statistician status.

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

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About the course. -An established global reputation for research in neuroscience disciplines including neurodegeneration, models of CNS disease, electrophysiology, regenerative medicine and stem-cell biology, behavioural neuroscience, cell-based assay, microscopy, molecular biology, cell culture and immunohistology. Read more
About the course:
-An established global reputation for research in neuroscience disciplines including neurodegeneration, models of CNS disease, electrophysiology, regenerative medicine and stem-cell biology, behavioural neuroscience, cell-based assay, microscopy, molecular biology, cell culture and immunohistology
-Fantastic research facilities, including the £4 million Chemical Analysis Facility
-Strong links with industry
-Training provided in a wide range of experimental techniques

WHAT WILL YOU STUDY?

Sample modules:
-Research methods
-Advanced topics in pharmacy research
-Research project

Please note that all modules are subject to change.

WHAT CAREER CAN YOU HAVE?

Reading School of Pharmacy has excellent links with industry, from the big pharma to small and medium-sized enterprises. Many of our graduates go on to work in industry and as researchers at NHS organisations.

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Train as a pharmaceutical scientist at Liverpool John Moores University on this new, Masters-level Drug Discovery and Design course. Read more
Train as a pharmaceutical scientist at Liverpool John Moores University on this new, Masters-level Drug Discovery and Design course. Gain hands-on laboratory experience, carry out novel research and enjoy excellent employment prospects.

•Complete this masters degree in one year (full time)
•Explore molecular chemistry and the drug creation aspect of the pharmaceutical industry as you train to become a qualified pharmaceutical scientist
•Gain hands-on experience in relevant laboratory techniques with a 12 week research project
•Benefit from LJMU's £12 million investment in state-of-the-art laboratory facilities
•Enjoy excellent graduate employment prospects

Enhance your subject knowledge and gain hands-on experience with this new Masters course, taught by tutors with personal industry experience and strong manufacturing connections.

Completing a PG Cert by the end of the first semester on this course, you will devote the next semester to Diploma level study and then undertake a 12 week laboratory project for the final part of your MSc.
There are opportunities for topic specialisation and the chance to undertake cutting edge research.

You will learn in a supportive, flexible academic environment, studying at the Byrom Street site, right in the heart of Liverpool city centre.

The School's laboratories are currently undergoing a £12 million upgrade. Here you’ll find chromatographic equipment and spectrometers, tableting and particle sizing equipment, computing laboratory and state-of-the-art molecular modelling software, electron spin resonance spectrometers and thermal analysis equipment, including dynamic differential scanning calorimetry plus chromatography, LC-MS and NMR instruments.

In terms of independent study support, the Avril Robarts Library, open 24/7 during semesters, is located just minutes away on Tithebarn Street.

Please see guidance below on core and option modules for further information on what you will study.

Research Methods
Gain the necessary core skills to effectively design, plan, perform and report scientific research.
Analytical Techniques, Structure and Function in Organic Molecules
Understand the application of analytical chemistry to pharmaceutical materials and the effect of functional group chemistry on both the structure and consequent properties of relevant molecules.
Physicochemical Properties of Therapeutic Agents
Understand the physical and chemical properties of both small molecules and macromolecules and how these influence their in vitro and in vivo behaviour as active pharmaceutical ingredients.
Medicinal Chemistry
Understand the application of medicinal chemistry to the drug discovery process and the requirement for a modern synthetic approach to the supply of relevant molecules.
Natural Products
Understand various aspects of chromatographic, spectroscopic and assay techniques and approaches pertinent to natural products drug discovery, and the chemistry of natural products.
Research Project
Complete an independent, in-depth, 12 week scientific study related to the pharmaceutical sciences.

Further guidance on modules

The information listed in the section entitled ‘What you will study’ is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal Academic Framework review, so may be subject to change. Students will be required to undertake modules that the University designates as core and will have a choice of designated option modules. Additionally, option modules may be offered subject to meeting minimum student numbers.

Please email if you require further guidance or clarification.

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The need to develop new strategies to combat diseases remains a major global challenge. Read more
The need to develop new strategies to combat diseases remains a major global challenge. This programme provides advanced training in the mechanisms underpinning a spectrum of infectious and non-infectious diseases, including viral, bacterial and parasitic infections, cancer, neurodegeneration, cardiovascular disease and chromosomal abnormalities. You’ll also explore current and emerging diagnostic and treatment strategies.

You’ll learn about the latest molecular, genetic and cellular approaches being used to understand, diagnose and treat human disease, including traditional methods such as polymerase chain reaction (PCR) and enzyme-linked immunosorbent assay (ELISA), and novel methods involving genome and proteome analysis. You’ll have the opportunity to investigate the role of the immune system in the response to infection and disease, covering topics such as innate and adaptive immunity, allergy and immune evasion.

You’ll study in a faculty ranked 6th in the UK for its research impact in the recent Research Excellence Framework (REF 2014), and you’ll graduate with the solid base of scientific knowledge and specialist skills valued by employers.

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This programme is offered by the UCL Division of Medicine and the Wolfson Institute for Biomedical Research and is designed for the more research-oriented student, complementing Drug Design MSc. Read more
This programme is offered by the UCL Division of Medicine and the Wolfson Institute for Biomedical Research and is designed for the more research-oriented student, complementing Drug Design MSc. Conducting cutting-edge research within the drug industries and UCL's academic group, it offers opportunities for networking and future career development.

Degree information

This programme teaches students the latest methodologies and approaches and covers all aspects of drug design: drug discovery, computational and structural biology, screening, assay development, medicinal chemistry, and most importantly the industrial practices involved in modern drug design technology.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (30 credits), three optional modules (45 credits) and a dissertation/report (105 credits).

Optional modules - students will select three from the following Drug Design MSc modules:
-Bioinformatics and Structural Biology as applied to Drug Design
-Biological Molecules as Therapeutics
-Biophysical Screening Methods, X-ray Crystallography, Protein NMR and Phenotypic Screening
-Cheminformatics and Modelling for Drug Design
-Fragment-based Drug Design
-Target Selection – Commercial and Intellectual Property Aspects
-Target Selection – Scientific Grounds

Core modules - plus two taught transferable skills modules delivered by CALT (UCL Centre for the Advancement of Learning and Teaching):
-Investigating Research
-Researcher Professional Development

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 15,000 to 20,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, seminars, tutorials and problem classes, critical journal clubs and a research project. Assessment is through coursework, practicals, laboratory work, examination, dissertation and oral presentation.

Careers

We expect students graduating from this programme to take leading roles in drug discovery and development worldwide or to undertake further PhD level research. The first cohort of students on the Drug Design MRes graduating in 2015 have found jobs in the pharmaceutical industry as well as PhD studentships in leading universities.

Employability
The advanced knowledge and skill set acquired by taking this programme will enable students to find employment in the pharmaceutical and biotech industries in a global market.

Why study this degree at UCL?

The division hosts research groups in the areas of medicine, pharmaceutical research, cell cycle, neurobiology, mitochondrial function, stem cells and cancer. Underpinning the translational aspects of the biomedical research, we have a medicinal chemistry group which conducts research where chemistry and biology intersect, using the latest techniques and developing new ones for the study of biological systems.

The division collaborates extensively within industry and academia to develop biological tools and therapeutic agents. There are plenty of opportunities to conduct translational research that has an impact on drug discovery.

Pharmaceutical and biotech companies, well established in the West, have been transferring their research and development to the East. Given these substantial developments, particularly in China and India, the programme will have a broad international appeal.

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These programmes offers the opportunity to begin or consolidate your research career under the guidance of internationally renowned researchers and professionals in the School of Mathematics, Statistics and Actuarial Science (SMSAS). Read more
These programmes offers the opportunity to begin or consolidate your research career under the guidance of internationally renowned researchers and professionals in the School of Mathematics, Statistics and Actuarial Science (SMSAS).

Research interests are diverse and include: Bayesian statistics; bioinformatics; biometry; ecological statistics; epidemic modelling; medical statistics; nonparametric statistics and semi-parametric modelling; risk and queueing theory; shape statistics.

Visit the website https://www.kent.ac.uk/courses/postgraduate/169/statistics

About the School of Mathematics, Statistics and Actuarial Science (SMSAS):

The School has a strong reputation for world-class research and a well-established system of support and training, with a high level of contact between staff and research students. Postgraduate students develop analytical, communication and research skills. Developing computational skills and applying them to mathematical problems forms a significant part of the postgraduate training in the School. We encourage all postgraduate statistics students to take part in statistics seminars and to help in tutorial classes.

The Statistics Group is forward-thinking, with varied research, and received consistently high rankings in the last two Research Assessment Exercises.

Statistics at Kent provides:

- a programme that gives you the opportunity to develop practical, mathematical and computing skills in statistics, while working on challenging and important problems relevant to a broad range of potential employers

- teaching and supervision by staff who are research-active, with established reputations and who are accessible, supportive and genuinely interested in your work

- advanced and accessible computing and other facilities

- a congenial work atmosphere with pleasant surroundings, where you can socialise and discuss issues with a community of other students.

Course structure

The research interests of the group are in line with the mainstream of statistics, with emphasis on both theoretical and applied subjects.

There are strong connections with a number of prestigious research universities such as Texas A&M University, the University of Texas, the University of Otago, the University of Sydney and other research institutions at home and abroad.

The group regularly receives research grants. The EPSRC has awarded two major grants, which support the National Centre for Statistical Ecology (NCSE), a joint venture between several institutions. A BBSRC grant supports stochastic modelling in bioscience.

Research areas

- Biometry and ecological statistics

Specific interests are in biometry, cluster analysis, stochastic population processes, analysis of discrete data, analysis of quantal assay data, overdispersion, and we enjoy good links within the University, including the School of Biosciences and the Durrell Institute of Conservation and Ecology. A recent major joint research project involves modelling the behaviour of yeast prions and builds upon previous work in this area. We also work in collaboration with many external institutions.

- Bayesian statistics

Current work includes non-parametric Bayes, inference robustness, modelling with non-normal distributions, model uncertainty, variable selection and functional data analysis.

- Bioinformatics, statistical genetics and medical statistics

Research covers bioinformatics (eg DNA microarray data), involving collaboration with the School of Biosciences. Other interests include population genetics, clinical trials and survival analysis.

- Nonparametric statistics

Research focuses on empirical likelihood, high-dimensional data analysis, nonlinear dynamic analysis, semi-parametric modelling, survival analysis, risk insurance, functional data analysis, spatial data analysis, longitudinal data analysis, feature selection and wavelets.

Careers

Students often go into careers as professional statisticians in industry, government, research and teaching but our programmes also prepare you for careers in other fields requiring a strong statistical background. You have the opportunity to attend careers talks from professional statisticians working in industry and to attend networking meetings with employers.

Recent graduates have started careers in diverse areas such as the pharmaceutical industry, financial services and sports betting.

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

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Overview. The MRes courses are designed to provide students with intensive laboratory-based training in research methods, supported by in-depth understanding. Read more
Overview
The MRes courses are designed to provide students with intensive laboratory-based training in research methods, supported by in-depth understanding. The aim is to prepare graduates to make contributions, as individuals and members of a team, to research-oriented activities in the biomedical industries and related service sectors, or academia. The courses are also well-suited to students wishing to upgrade a first degree, change field, or gain valuable laboratory experience before employment or a PhD. The Strathclyde Institute of Pharmacy and Biomedical Sciences represents the largest Pharmacy research group in the UK, with 55% of its staff rated as either world-leading or internationally excellent in terms of originality, significance and rigour (data: Research Assessment Exercise 2008). The University of Strathclyde has invested £30M in a world-class, pioneering centre for biomedical and pharmaceutical sciences teaching and research, opened Aug 2010. Students will find themselves in stimulating, unique environment on account of the strongly multidisciplinary nature of the Institute. Combining fundamental and applied research across the areas of bioscience and pharmacy, SIPBS builds on its record of success in drug and vaccine discovery and development. The Institute engages with industry and the health services, ensuring that its excellent fundamental research is translated into products that are of benefit to health and society. For more information on SIPBS go to http://www.strath.ac.uk/sipbs

Course outline

An MRes degree is focussed on research and students will spend 8 months undertaking a laboratory-based project.
To support their chosen research project, students choose advanced-level taught courses in a named specialisation, from the following areas:

Taught classes delivered through lectures, workshops and practical classes in four areas:
1. Transferable skills training in data mining, interpretation and presentation; experimental planning, personal effectiveness, ethics in research
2. Commercialisation and entrepreneurship
3. MRes-specific classes relevant to subject area

Biomedical Sciences

Example research projects:
1. Antileishmanial activity of extracts and compounds from Monodora myristica
2. Imaging and modelling of cancer development
3. Endothelial progenitor cell expression and differentiation
4. Targeted radiotherapy for cancer
5. The involvement of pulmonary veins in atrial fibrillation: electrical properties
6. Reducing bacterial resistance to antibiotics
7. Development of neural stem cells with increased levels of the autophagy cell survival pathway
8. Investigating the role of Sigma 54 in Pseudomonas aeruginosa virulence
9. Transcriptional network analysis of the Escherichia coli core stress response.
10. Identification of novel anti-microbial compounds targeted at biofilm formation

Drug Delivery systems

Example research projects
1. Nanoparticulate formulations of insulin and their analysis
2. Mesoporous silicas for oral delivery of cyclosporine
3. Bioprocessing of biopharmaceuticals
4. Modified and time-delayed oral solid-dose release formulations
5. Nasal formulations of poorly soluble compounds
6. Reducing bacterial resistance to antibiotics: establishing, optimising and implementing a high throughput assay to discover natural product derived inhibitors of metallo beta-lactamase.
7. Imaging of dermal formulations using Raman microscopy techniques
8. Antileishmanial activity of extracts and compounds from Monodora myristica
9. Anti-trypanosomal active triterpenoids from some African Propolis
10. Investigation into the potential therapeutic properties of marine organisms
11. Photo-triggered adhesion of mammalian cells

Drug Discovery

Projects in the areas of :
1. Drug Delivery
2. Molecular Biology
3. Pharmacology
4. Pharmaceutical Materials and Formulation
5. Toxicology

Neuroscience

Projects in the areas of:
1. Electrophysiology
2. Stem cell biology for regenerative purposes
3. Cell biology
4. Inflammation
5. In vitro culture systems
6. Functional genetics

How to Apply
Applicants should apply through the University of Strathclyde on-line application form: http://pgr.strath.ac.uk indicating "Masters by Research", and named specialisation as appropriate. Applicants are not required to submit a detailed research proposal at this stage.

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This course provides a broad grounding in advanced statistical methods, with a focus on applications in research, the NHS and the pharmaceutical industry; the course structure also allows mathematicians with some statistical experience to move into this field. Read more

Summary

This course provides a broad grounding in advanced statistical methods, with a focus on applications in research, the NHS and the pharmaceutical industry; the course structure also allows mathematicians with some statistical experience to move into this field.

Modules

Analysis of repeated measures; bayesian methods; biological assay; clinical trials; communications and research skills; computer-intensive statistical methods; design and analysis of experiments; epidemiological studies; generalised linear models; multi-level modelling; multivariate distribution theory and inference; statistical computing; statistical genetics; survival analysis; univariate theory and inference; dissertation.

Visit our website for further information...



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Our MSc course in Investigative Ophthalmology and Vision Sciences brings together the research expertise in vision from The University of Manchester and Manchester Royal Eye Hospital. Read more
Our MSc course in Investigative Ophthalmology and Vision Sciences brings together the research expertise in vision from The University of Manchester and Manchester Royal Eye Hospital.

This course will provide you with a firm grounding in the knowledge needed to pursue a higher degree and to conduct high quality research in ophthalmology, optometry or vision sciences. It also gives an opportunity for vision-related professionals to advance their knowledge of the scientific foundations of ophthalmology and vision sciences.

The course is aimed at optometrists, ophthalmologists, orthoptists and nurses from the UK and overseas. It is suitable for:
-Individuals who are considering undertaking a research degree in the vision sciences
-Those interested in professional development
-Those interested in conducting research as part of their clinical training
-Ophthalmologists wishing to expand and extend their training into specialist areas
-Optometrists considering a career in the hospital eye service

Teaching and learning

The course has two different pathways:
1. Six taught units (15 credits each) and a project dissertation (90) credits.
2. Four taught units (15 credits each), a literature review (30 credits) and a dissertation (90 credits).

The six units are Research Methods, Cornea, Contact Lens, Vascular Disease, Macular Degeneration and Glaucoma.

In each of the units, learning will be based on a series of formal lectures on topics relating to ocular disease and treatments, and a series of more informal tutorials on current research. You will receive copies of presentations and direction to relevant literature for personal study.

Many projects have led to peer reviewed publications in the ophthalmic literature. Recent titles include the following:
-Optical coherence tomography measures of the retinal nerve fibre layer
-Development of a model cell assay to investigate the cellular processing of ARB mutant bestrophin-1
-Risk factors for late presentation of patients with primary open angle glaucoma
-Molecular analysis of autosomal recessive retinal dystrophies
-In vivo analysis of the wettability of silicon hydrogel contact lenses
-Can corneal densitometry be used to assess the treatment outcome after corneal transplantation
-A contact lens based technique delivering cultured stem cells onto the human corneal surface
-The use of corneal imaging to assessing treatment outcomes of LASIK and LASEK
-Addressing the physiological cues needed for trans-differentiation of dental pulp stem cells into limbal stem cells

Coursework and assessment

Assessment is via:
-Written examinations in January and May
-Coursework set during the taught units
-A research project dissertation

Career opportunities

This course is aimed at optometrists, ophthalmologists, orthoptists and nurses from the UK and overseas.

It is considered suitable for:
-Individuals interested in vision sciences
-Those interested in conducting research as part of their clinical training
-Optometrists considering a career in the hospital eye service
-Those interested in an academic career in ophthalmology/optometry/vision sciences
-Optometrists interested in professional development

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