Our Master of Research (MRes) in Translational Medicine will give you the research skills you need to use state-of-the-art biotechnologies to rapidly translate disease research into improved clinical healthcare.
Our understanding of the molecular basis of disease and drug mechanisms has improved dramatically in recent years, yet there is a distinct shortage of individuals able to apply this knowledge into effective clinical benefit. The core aim is to train the next generation of scientists able to 'fast-track' biological and scientific data into advanced therapies and diagnostics tools.
With advances in technology, graduates are faced with heightened expectations to conduct effective bioscience research. Employers demand skillsets with biological, medical, physical and computational characteristics, and our course is designed to provide this breadth of training.
You will learn omics skills and techniques such as genetics, genomics, transcriptomics, proteomics and metabolomics. Our training in metabolomic techniques is novel for a UK course, while our teaching on the integration of different omic platforms and data in a systems medicine strategy is also unique.
The MRes course consists of four taught units - which together make up the PGCert - plus an extended 35-week project that can be undertaken at the University, the Manchester Cancer Research Centre or a teaching hospital in Greater Manchester.
You can choose from a range of projects covering areas such as the use of gene expression profiling, proteomics, metabolomics, stem cell research, tissue culture or pharmacogenetics in the biology of cancer, cardiovascular disease, infectious diseases, stroke or diabetes.
Completing our course will open up a route into PhD research. You may also pursue a career in academia or the pharmaceutical or biotechnology industries, or as a clinical academic.
Extensive research experience
The 35-week research project for the MRes award offers the chance to conduct ambitious projects in areas such as cancer, cardiovascular disease, inflammation, mental health, infectious diseases, stroke or diabetes, using methods such as stem cell research, proteomics, metabolomics, tissue culture or pharmacogenetics.
Integrated focus on key topics
Our course has a strong and integrated focus on genetics, genomics, proteomics and metabolomics biotechnology and data interpretation, which are strengths within Manchester and are identified as core areas of bioscience growth.
Teaching comprises four taught units delivered using a variety of face-to-face, workshop and e-learning approaches and an extended 35-week research project for the MRes award.
Examples of research projects include the following.
Find out more by visiting the postgraduate teaching and learning page.
More than 50% of our graduates progress into PhD research at Manchester or other universities such as Cambridge, Imperial College London, Newcastle, Glasgow, Liverpool and Bristol.
Around 15% pursue a career in the pharmaceutical or biotechnology industry in the UK or abroad.
Approximately 25% are intercalating medics who complete their medical education. An estimated 10% pursue an undergraduate medical degree.
Stratified Medicine, also known as Personalised Medicine, is at the cutting edge of a new era for medicine. Our ability to understand how genes, lifestyle and environment can influence disease promises to revolutionise healthcare practices. Stratified Medicine relies on using biomarkers (e.g. genes or protein) to stratify (or split) patients into specific groups for diagnosing or treating diseases. The ideals of Stratified Medicine will be realised with the development of technologies and systems to predict disease, select the best treatment, and reduce side effects for individual patients. This approach to streamline healthcare provides more accurate clinical decision making tools to identify ‘the right treatment, for the right person, at the right time.’
The course is designed as a Masters programme but it is credit-bearing and flexible, so students may also exit with a PgCert or PgDip at key points.
This course provides an academically challenging science education for those who wish to follow a career within the area of Stratified Medicine. Graduates may also choose to proceed to higher postgraduate degree programmes (MPhil/PhD). Students will also undertake this online programme for their continued professional development within their individual areas of employment and this may be for career enhancement.
Based on the indicative curriculum of Health Education England, NHS England and Genomics England LTD, the Genomic Medicine course will equip research scientists and Health Care Professionals with; knowledge and skills to understand and interpret genomic data, an understanding of genetic and genomic techniques in a clinical setting, bioinformatic approaches required for analysis of genomic data, advanced knowledge and skills, preparing graduates to develop and deliver personalised health care.
Genomic Medicine students will be introduced to:
Subsequent study will build on these foundations. Specific modules on the Genomic Medicine course focus on:
The Genomic Medicine course is primarily informed by the design developed to equip graduates, and a diverse range of healthcare professionals, with an appreciation and education in genomics and genomic technology. As an emerging field of expertise this knowledge and understanding of genomics will prepare Genomic Medicine graduates to translate their newfound knowledge of genomics into the clinical setting to inform patient care.
The Genomic Medicine course has been developed in line with Health Education England, NHS England and Genomics England Ltd.
Genomic Medicine students will be introduced to the fundamentals of human genetics and genomics along with techniques required for DNA and RNA sequencing to study genomic variation observed in the clinical setting. A third module entitled Data Analysis for Health and Medical Sciences, will introduce the bioinformatic approaches required for the analysis of genomic data.
Students will learn and be taught through a variety of methods including: lectures, workshops, tutorials, practical sessions, work-based learning and guest lectures by professionals, practitioners and respected academics.
Employability is key to the Genomic Medicine programme. Our students will be able to enhance their employability skills through their education and training in genomic medicine, transforming both the specialist and general workforce within the NHS. Furthermore, for non-NHS funded students, the MSc in Genomic Medicine will prepare graduates for careers in the clinical setting for which a knowledge of genomics will improve service delivery to patients.
The masters’ element of this programme will require students to complete a Research Project or in depth literature review. Genomic Medicine students will be encouraged to undertake their research project within the NHS, either within the students hosting NHS department or where they may expect to work following graduation.
Please note: fees of accepted, eligible NHS-based applicants will be paid by the Workforce Education and Development Services (WEDS).
Workforce Education and Development Services (WEDS) funding: WEDS is offering to pay the tuition fees for eligible staff working for the NHS in Wales, to study for the MSc, PG Dip or PG Cert in Genomic Medicine (part-time only).
An MSc is generally accepted as being highly desirable for starting and developing a career in Medical Statistics. The MSc in Statistics with Applications in Medicine is also an excellent preparation for embarking on a PhD project in Statistics or Medical Statistics.
The MSc in Statistics with Applications in Medicine, taught by one of the largest and strongest Statistics groups in the UK, will provide you with a sound Masters-level training in Statistical methodology, with an emphasis on practical problems arising in the context of collecting and analysing Medical data. Several modules are delivered by Medical Statisticians, who can provide data and case studies from their own day to day work at Southampton General Hospital and the Medical Research Council Lifecourse Epidemiology Unit.
While studying for your degree, you will develop key transferrable skills, such as written and oral communication, the use of and some programming in Statistical software, time management, and basic research skills.
Programme objectives are:
Past graduates have joined major pharmaceutical companies, research teams at the Medical Research Council, university-based medical research units, contract research organisations, government, the financial sector, or have continued with further study to become successful PhD students.
The ever-increasing amount and range of patient data presents the pharmaceutical industry and medical research institutions with significant challenges and great opportunities. Medical Statisticians design and analyse clinical trials for new treatments; they help to identify the genes responsible for disease and they developing methodology to enable advances in personalised medicine.
Their work underpins scientific breakthroughs that will be life-saving for many. In the MSc in Statistics with Applications in Medicine you will examine new developments in challenging medical data problems through the study of clinical trials, statistical genetics and epidemiological methods.
The full-time MSc is completed over a 12-month period. There are two semesters of taught material, which account for 60 ECTS credits, followed by the MSc project in summer, which accounts for 30 ECTS credits.
The programme structure allows you to select options ranging from the more theoretical aspects of Statistics, including a module on research topics, to those which cover material focussed on practical applications of Statistics in a clinical setting. This is complemented by modules on research skills, a Medical Statistics seminar series providing insight into the role of Medical Statisticians in various different careers (which also gives opportunities for networking with the speakers), and several presentations on transferrable skills by the University Careers and Employability Service Team.
Keep up to date about news, events and application information by joining our mailing list. We will let you know of upcoming deadlines and events, and send you relevant emails related to the programme. Sign up here:
The course is a unique combination of
in advanced therapeutic medicines and will provide academic and laboratory research training in three key areas (streams):
•Gene and Nucleic Acid Based Therapies
•New Horizons in Pharmacology
The main purpose of this programme is to facilitate state-of-the-art education in next generation therapies for scientist and clinicians, who will be equipped to significantly contribute to these rapidly expanding fields.
A major focus is training in
illustrating all steps required to progress novel therapies from bench-to-bedside and towards drug licensing.
It is the provision of teaching in all three areas of advanced therapeutic development which makes our programme unique.
Hear from Genes, Drugs and Stem Cells students and graduates on the National Heart and Lung Institute website.
Modules shown are for the current academic year, and are subject to change depending on your year of entry.
You take all four core modules below.
Covers the basic ethical principles related to pre-clinical and clinical research, relevant tissue governance (e.g. the Human Tissue Act), and basic statistics amd experimental design. Provides awareness of commercialisation strategies, the importance of intellectual property protection, and the health economy.
An introduction to human genetics and genomics underpinning the development of gene and nucleic acid-based therapies. Includes lectures on monogenic and complex diseases, the complexities of genotype/phenotype correlations, principles of gene regulation and suitable animal models to mimic human disease. Module Leader: Prof Uta Griesenbach.
Includes teaching on human studies and discussion of clinical trials to provide a methodological prospective and review the current status of trials using regenerative medicine. Provides an introduction to biomaterials for regenerative medicine, and a discussion of different strategies to engage the public in the research, ethics and clinical translation of regenerative medicine. Module Leader: Prof Sara Rankin.
Provides a basic understanding of how drugs target disease, disease mechanisms and how the drug development process has evolved over time. You receive training in developing novel therapeutic agents and assessing safety. Module Leader: Prof Jane Mitchell.
You choose one optional module from below.
Covers gene and nucleic acid based therapies to an advanced level. Includes discussion of the first approved gene therapy product, and practical experience in preparation for the research project.
Covers how pharmacology continues to identify new endogenous pathways (e.g. cytokines) that can be targeted to develop new drugs to an advanced level. Addresses the idea of how nanomedicine approaches are being used to make new formulations of drugs and what this means in terms of testing efficacy and toxicity. Principles of personalised medicine are also covered.
Covers the tools and technologies utilised in the field of regenerative medicine and the use of stem cells to develop disease models in culture. Lectures cover cutting edge research and new patents relating to regenerative pharmacology, covering the molecular pathways and drugs being used for stem cell differentiation in vitro and for the mobilization and activation of stem cells in vivo.
You will complete an extensive six-month research project related to one of the optional modules above. You join an established research laboratory to conduct work supervised by academic staff.
The research project culminates in a written project report of approximately 10,000 words and an oral presentation.
Watch video introductions to the steam-specific compulsory modules listed above - http://www.imperial.ac.uk/nhli/study-and-training/postgraduate-taught/for-students/#GDS
This Clinical Pharmacology degree programme offers focused training which integrates basic and clinical sciences, and equips students with the essential skills required to function effectively as a clinical pharmacologist in the 21st century. As a student on the MSc Clinical Pharmacology programme, you will acquire core skills, enabling an appreciation of how to apply clinical pharmacological, regulatory and ethical principles to the optimisation of therapeutic practice and clinical research. Crucially, in addition to a firm grasp of the principles of molecular pharmacology, you will also gain foundational knowledge in the emerging science of pharmacogenomics and personalised medicine.
You will attend lectures, seminars and tutorials and take part in lab, project and team work.
In addition you will undertake a dissertation/project.
Career opportunities include positions in academia, health care and the pharmaceutical industry; returning to more advanced positions within a previous clinical environment (eg pharmacicts, clinicians); and PhD study.
There is currently a worldwide shortage in graduates qualified in Bioinformatics and the skills to interpret the data that is going to underpin advances in biology and medicine in 21st Century. With the advent of Personalised Medicine, the demand for specialists in Computational Biology and Bioinformatics will further increase. This gives you the opportunity to build your transferable skill set across a range of cutting edge technologies and start building a career in this central facet of modern biology.
Students completing the MSc course in Bioinformatics and Computational Genomics will have the necessary skills and knowledge to undertake research and development in industry (Biotechnology, Pharmaceutical, Diagnostic companies), in medical research centres and in academic institutions worldwide.
Computational, statistical and machine learning methods form an integral part of modern research in Molecular Biology, Cell Biology, Pharmacology, Public Health Care and in Medicine. The past decade has seen enormous progress in the development of molecular and biomedical technologies. Today’s high-throughput array and sequencing techniques produce data in the range of terabytes on a daily basis and new technologies continuously emerge. This will further increase the stream of data available for biomedical research. For this reason analyzing, visualizing and managing this huge amount of data is a challenging task. The Queen’s MSc course in Bioinformatics and Computational Genomics targets these data-driven challenges of modern science. The course is open to graduates in computer science, life sciences, physics or statistics.
The programme will consist of an Introductory short course (two weeks) in Cell Biology, followed by modules in:
• Genomics & Genetics
• Analysis of Gene Expression
• Scientific Programming & Statistical Computing
• Algorithmic Biology
• Statistical Biology
• Bioimaging Informatics
• Research project : MSc dissertation
Genomic technologies and information will transform practice across the clinical professions over the next decade.
This MSc is a new programme developed by Health Education England and being offered by a network of centres across England. It includes study of the genomics and informatics of rare and common diseases, cancer and infectious diseases, which can be applied to clinical practice and medical research, and enhance knowledge and skills, in this rapidly evolving field.
What does our MSc provide?
This programme, delivered by the Faculty of Medicine, will provide a comprehensive perspective in genomics applied to clinical practice and medical research, with particular emphasis on the 100,000 Genomes Project. It will equip students to bring benefit to their patients through improved diagnosis and personalised treatment, and disseminate knowledge to peers, patients and the public.
Who should study?
This programme is particularly suitable for health professionals as well as students seeking to make the most of genomics as it applies to their current or future career.
Our modular structure and blended learning formats are delivered flexibly as a one year full-time or two year part-time option, or as individual or grouped modules, to facilitate access from as wide as possible a range of healthcare professionals.
Genomic technologies and information will transform practice across the clinical professions over the next decade. Our MSc Genomic Medicine degree is designed to enhance knowledge and skills in this rapidly evolving field. The masters course has been developed by Health Education England and includes study of the genomics and informatics of rare and common diseases, cancer and infectious diseases, which can be applied to clinical practice and medical research. This degree is suitable for health professionals working in the NHS, as well as students seeking to make the most of genomics as it applies to their current or future career.
This MSc Genomic Medicine has been commissioned by NHS England / Health Education England to provide education and training in genomics for health professionals from different professional backgrounds such as medicine, nursing, public health, science and technology, for whom knowledge of genomics will impact on the way they deliver their service to patients and the public.
This programme can be tailored to meet your career aspirations and enables you to choose your module options, plan your programme route, and choose from October or March to begin your studies.
You can study part-time or undertake smaller numbers of, or even individual, modules to fit your study around your other commitments.
Southampton’s MSc Genomic Medicine comprises eight core modules delivered through intensive face-to-face study and independent learning.
Our core modules include an introduction to the genetics and genomics of rare and common diseases, cancer and infectious disease, informatics analysis, and a laboratory research project or dissertation.
Optional modules within the programme include the Ethics, Counselling Skills and Teaching the Teachers to Teach.
Teaching and learning
Using a mix of learning formats, our modules include two groups of two days' intensive face-to-face teaching interspersed with independent study.
The first core module will include an additional day of student contact to incorporate an induction to the University’s facilities and introduction to basic research skills such as literature searching and critical appraisal of scientific literature).
A variety of learning and teaching methods will be adopted to promote a wide range of skills and meet differing learning styles, including seminars, group work, practical demonstrations and exercises surrounding interpretation of data and clinical scenarios.
Experts from a range of academic and health care professional backgrounds are chosen to ensure a breadth and depth of perspective, giving a good balance between theories and principles, and practical management advice.
Independent study is delivered through a virtual learning environment, delivering a library of study materials including uploaded lectures, virtual patients and independent learning tasks, reference materials, links to online tutorials, student fora, and guest lecturer web chats.
A significant component of your research will comprise either an original project or a literature-based dissertation.
What you will gain
Students who complete the programme will be equipped to harness the unprecedented transformation of the 100,000 Genomes Project, bring benefit to their patients through improved diagnosis and personalised treatment, and disseminate knowledge to peers, patients and the public.
This course is ideal for graduates who love to work in a role that connects computing and biology, medicine, or healthcare, and have an analytical and inquisitive mind.
Our school of School of Computing and Engineering has developed partnerships, such as Amazon allowing our students to gain vital industry skills in:
• integration with big data
• cloud computing
This course has been structured with the modern healthcare sector in mind, providing you with the opportunity to gain comprehensive ICT skills required by the sector.
We aim to develop future leaders through increasing your knowledge and skills in:
• how to manage and analyse large scale, individual and personalised health data
• ethics and governance issues around health data
• big Data (statistical and machine-learning) methods
• the healthcare context, processes and environment
• clinical and biological problems
• healthcare system integration (HL7 messages)
• informatics project management/change management
• exposing you to a range of health information systems and technologies
This course will thoroughly prepare you for a wide range of careers as a health informatics or Bioinformatics practitioner in the public and private sectors, including:
• clinical informatics
• personalised Medicine
• clinical bioinformatics
• education and training
• health records and patient administrators
• information and communication technology
• information management
• libraries and knowledge management
• project and programme management.
On successful completion of this course you can pursue further study at MPhil and PhD level.
Click the following link for information on how to apply to this course.
Information about scholarships and bursaries can be found here.
Our MSc Health Data Science course aims to create a new breed of scientist who can understand the healthcare sector and medicine, how data is collected and analysed, and how this can be communicated to influence various stakeholders.
The current model of healthcare delivery in the UK is subject to unprecedented challenges. An ageing population, the impact of lifestyle factors and increasing costs mean that the existing approaches may become unsustainable.
This, coupled with a drive towards personalised medicine, presents an opportunity for a step change in healthcare delivery.
To do this, we need to make best use of the health data we collect and create a better understanding of the relationship between treatments, outcomes, patients and costs.
This MSc promotes the need for translational thinking to provide the knowledge, skills and understanding that will be applied across new challenges within healthcare delivery.
Students from a variety of professional backgrounds will benefit from the course, as the structure of the MSc ensures that you will share this knowledge with each other and learn to work in multidisciplinary teams, rather than in specialist silos.
The course has eight taught units covering key skills for health data science. Seven units are core and there is one optional unit depending on training needs and background. For those studying for an MSc, there is also a 60-credit research project.
This course will allow you to:
Research project options
MSc students will have an opportunity to conduct their research project in other settings such as the NHS and the biopharmaceutical industry, as well as academia.
The course covers four main areas that bring together technical, modelling and contextual skills to apply these to real world problems when harnessing the potential of health data.
In each of the units that deliver the key skills, both the importance of the patient and the governance surrounding working in the healthcare environment (especially structures around information governance) is embedded throughout.
Each unit will use case studies provided by existing work and research at the Health eResearch Centre(HeRC). The course will focus on large and complex health datasets (often routinely collected) in environments that safeguard patient confidentiality.
The course will encourage intellectual curiosity, creativity, and critical thinking, providing transferable skills for lifelong learning and research and cultivation of reflective practice.
Through the development of these innovation, critical, evaluative, analytical, technical, problem solving and professional skills, you will be able to conduct impactful work and advance healthcare delivery.
We see learning and teaching as collaborative knowledge construction, which recognises the contribution of all stakeholders (academic staff, service users and carers and students). This is demonstrated in the course through contributions made by these stakeholders through case studies, examples, invited seminars and participation in group work.
A variety of teaching methods will be used within the constraints of the method of delivery. The course will be student centred and will be delivered from the outset using a combination of face-to-face, distance learning and blended learning units.
A range of assessments are used within each course unit and across the course as a whole.
All assessments require you to integrate knowledge and understanding, and to apply this to case studies and the outcomes of each unit.
Assessment will occur in a variety of forms including (but not exclusively) essays, case studies, assessed seminar/tutorial presentations and literature reviews.
Written assignments and presentations have a formative role in providing feedback (particularly in the early stages of course units) as well as contributing to summative assessment.
Online quizzes provide a useful method of regular testing, ensuring that you actively engage with the taught material.
The assessment of tutorials contains an element of self and peer evaluation, so you can learn the skills associated with the effective management of and participation in collaborative activity.
The course also places an emphasis on group work, as this a vital skill for professionals operating in a multidisciplinary area such as health data science, and this is shown in the teaching methods and assignments.
Each unit has a different emphasis on the group work assessment based on the nature of the material being covered, how they are to apply the knowledge and the work they are to complete.
The dissertation for the MSc requires you to undertake an extended written piece of work (10,000 to 15,000 words) that focuses on a specific aspect of health data science.