Deepen your knowledge of your specialist field in biomedical science. Choose from the outstanding range of biomedical subject areas and courses offered by the School of Biological Sciences, and tailor your programme to your career or research goals.
Take your research skills to a professional level. Depending on your programme, your research will range from carrying out and documenting novel experiments to a full research thesis where you contribute to knowledge in your field of biomedical science.
Join a community of dedicated and innovative researchers and learn from staff who have international reputations in their fields.
Gain advanced skills in biomedical research. If you have a Bachelor of Biomedical Science or similar degree, you can apply to complete the 240-point Master of Biomedical Science. You'll need a B+ average in your 300-level courses in your undergraduate degree for entry into this two-year programme, which includes both coursework and a full Master's project and thesis.
In your first year, or Part 1 of the programme, you'll complete around four courses of your choice worth a total of 90 points, and also do the Research Preparation course (BMSC 580).
This will prepare you for your second year, Part 2, which is when you'll do a full-time research project, leading to a thesis. You'll need to arrange a thesis topic with a supervisor before you enrol in Part 1 of the Master's programme.
Complete a full research project and thesis and become an expert in your specialist subject area. If you have done well in your Bachelor of Biomedical Science with Honours degree, you may enrol in the 120 point Master's. This programme is the same as Part 2 of the 240-point Master's above.
You'll need to arrange a thesis topic with a supervisor before you enrol.
Improve your career options with this one-year programmme designed for students who have completed a Bachelor of Biomedical Science or equivalent Bachelor's degree.
You'll complete 120 points, choosing from the full range of level-four courses in Biomedical Science that may include the 30-point Research Preparation course (BMSC 580).
If you are studying full time, you can expect a workload of 40–45 hours a week for much of the year. Part-time students doing two courses per trimester will need to do around 20–23 hours of work a week. Make sure you take this into account if you are working.
You can estimate your workload by adding up the number of points you'll be doing. One point is roughly equal to 10–12 hours work.
The MSc Forensic Science (with Advanced Practice) postgraduate course concentrates on practices, procedures and analytical techniques used within forensic science. It considers how these are applied to support the investigation of crime and the criminal justice system as a whole.
On completing this course you will be able to demonstrate an in-depth knowledge of forensic science and how scientific methods are applied to the investigation of crime. You benefit from our links with practitioners and other professional organisations relevant to forensic science field. Key members of staff are former forensic scientists or crime scene scientists with considerable operational experience. Expect to carry out analytical and practical work in the University’s on-campus forensic facilities including specialist analytical laboratories, a crime scene house laboratory, and forensic chemistry and biology laboratories.There are three routes you can select from to gain a postgraduate Master’s award:
The one-year programme is a great option if you want to gain a traditional MSc qualification – you can find out more here. This two-year master’s degree with advanced practice enhances your qualification by adding to the one-year master’s programme an internship, research or study abroad experience.
The MSc Forensic Science (with Advanced Practice) course offers you the chance to enhance your qualification by completing an internship, research or study abroad experience in addition to the content of the one-year MSc. This two-year programme is an opportunity to enhance your qualification by spending one semester completing a vocational internship, research internship or by studying abroad. Although we can’t guarantee an internship, we can provide you with practical support and advice on how to find and secure your own internship position.
For the MSc with advanced practice, you complete 120 credits of taught modules, a 60-credit master’s research project and 60 credits of advanced practice.
Advanced Practice options
Modules offered may vary.
How you learn
You learn through a variety of teaching methods including lectures, tutorials, projects and assignments. You are also expected to participate in self-directed study, to review lecture notes, prepare assignments, work on projects and revise for assessments. Each 20-credit module typically has around 200 hours of learning time.
How you are assessed
Modules are assessed by in-course assignments – including a courtroom-based expert witness assessment – and end exams.
Employment opportunities exist in the fields of forensic science and forensic investigation with forensic science providers and law enforcement agencies. Other roles include scientific investigation where it’s important to be apply forensic science in a legal or regulatory context.
This MSc programme has been accredited and commended by the Chartered Society of Forensic Sciences, the international professional body for forensic science.
On this programme you complete a project related to professional practice. This, along with involving practitioners and academics in delivering these courses, ensures that your learning is relevant to the requirements of the criminal justice system.
Biomedical Science uses the basis of biological principles to enhance our understanding of human health and the treatment of disease, using a multidisciplinary approach. Knowledge of various disciplines allows the exploration of the normal physiology of the human body, leading to an appreciation of the processes of disease, aiding our advances in disease diagnosis and subsequent therapeutic intervention. Students undertaking this MSc programme will gain an understanding of the importance of research and experience advanced techniques, incorporating research design and data analysis.
Facilities include a wide range of instrumentation and up-to-date equipment for proteomic and genomic analysis, coupled with the studies of cellular processes. The University has an international reputation for research focused on oncology, the cardiovascular system and metabolic diseases. The programme builds upon the research expertise within the School and long-established history of collaboration with clinical scientists within the NHS, in addition to the School’s strong relationship with the Institute of Biomedical Science.
This programme is taught by academic staff from the School, and invited speakers such as clinical staff from local hospitals. You will be allocated a personal tutor and have regular contact with experienced researchers working in the biomedical field.
The modules taken by all students during taught semesters are:
You will also undertake a substantive research project on your chosen aspect of biomedical science.
From the MSc Biomedical Science programme of study students will gain an in-depth understanding of the generic, biological, physiological, and cellular processes with reference to the interconnectedness between health and disease. You will gain an understanding of the ethical and moral consequences of research in this subject area, and make use of the principles of scientific inquiry in the context of evidence-based practice. Your new knowledge will be acquired through research, practical real-world problem solving and practical experience that will allow you to interpret and critically evaluate data within the context of biomedical science.
* All modules are subject to availability.
This MSc will enhance your scientific theoretical and practical abilities, thus providing you with skills at the forefront of medical science research.
The course will aid your preparation for future employment or your advancement to PhD level studies. Employers of biomedical sciences postgraduates include the NHS, Medical Research Council, Government-funded and private pathology laboratories.
The MSc in Data Science will provide you with the technical and practical skills to analyse the big data that is the key to success in future business, digital media and science.
The rate at which we are able to create data is rapidly accelerating. According to IBM, globally, we currently produce over 2.5 quintillion bytes of data a day. This ranges from biomedical data to social media activity and climate monitoring to retail transactions. These enormous quantities of data hold the keys to success across many domains from business and marketing to treating cancer or mitigating climate change.
The pace at which we produce data is rapidly outstripping our ability to analyse and use it. Science and industry are crying out for a new generation of data scientists who combine the statistical skills of data analysis and the computational skills needed to carry out this analysis on a vast scale.
The MSc in Data Science provides you with these skills.
Studying this Masters, you will learn the mathematical foundations of statistics, data mining and machine learning, and apply these to practical, real world data.
As well as these statistical skills, you will learn the computational techniques needed to efficiently analyse very large data sets. You will apply these skills to a range of real world data, under the guidance of experts in that domain. You will analyse trends in social media, make financial predictions and extract musical information from audio files.
The degree will culminate in a final project in which you will you can apply your skills and follow your specialist interests. You will do a novel analysis of a real world data of your choice.
The programme includes:
You will study the following core modules:
You will also choose from an anually approved list of modules which may include:
Data Science is one of the fastest growing sectors of employment internationally. Big Data is an important part of modern finance, retail, marketing, science, social science, medicine and government.
The study of a combination of long established fields such as statistics, data mining, machine learning and databases with very modern and strongly related fields as big data management and analytics, sentiment analysis and social web mining, offers graduates an excellent opportunity for getting valuable skills in advanced data processing.
This could lead to a variety of potential jobs including:
Find out more about employability at Goldsmiths.
* One-year masters studentships are available for this stream. Each studentship will be worth £5000 and can be taken either as a reduction in fees or as a bursary. Studentships will be awarded based on academic merit and are open to all applicants, regardless of fee status (home/EU/overseas). Please indicate 'Data Science' in the first line of your personal statement.
* Two PhD Studentships targeted at successful graduates from this stream. Two 3-year PhD studentships will be on offer, targeted at students obtaining a minimum of a Pass with Merit on the Data Science stream. These studentships will cover the cost of tuition fees for home/EU applicants and a stipend at standard Research Council rates.
This course is a stream within the broader MRes in Biomedical Research.
The Data Science stream provides an interdisciplinary training in analysis of ‘big data’ from modern high throughput biomolecular studies. This is achieved through a core training in multivariate statistics, chemometrics and machine learning methods, along with research experience in the development and application of these methods to real world biomedical studies. There is an emphasis on handling large-scale data from molecular phenotyping techniques such as metabolic profiling and related genomics approaches. Like the other MRes streams, this course exposes students to the latest developments in the field through two mini-research projects of 20 weeks each, supplemented by lectures, workshops and journal clubs. The stream is based in the Division of Computational and Systems Medicine and benefits from close links with large facilities such as the MRC-NIHR National Phenome Centre, the MRC Clinical Phenotyping Centre and the Centre for Systems Oncology. The Data Science stream is developed in collaboration with Imperial’s Data Science Institute.
Students with a degree in physical sciences, engineering, mathematics computer science (or related area) who wish to apply their numeric skills to solve biomedical problems with big data.
Students will gain experience in analysing and modelling big data from technologically advanced techniques applied to biomedical questions. Individuals who successfully complete the course will have developed the ability to:
• Perform novel computational informatics research and exercise critical scientific thought in the interpretation of results.
• Implement and apply sophisticated statistical and machine learning techniques in the interrogation of large and complex
biomedical data sets.
• Understand the cutting edge technologies used to conduct molecular phenotyping studies on a large scale.
• Interpret and present complex scientific data from multiple sources.
• Mine the scientific literature for relevant information and develop research plans.
• Write a grant application, through the taught grant-writing exercise common to all MRes streams.
• Write and defend research reports through writing, poster presentations and seminars.
• Exercise a range of transferable skills by taking short courses taught through the Graduate School and the core programme of the
MRes Biomedical Research degree.
A wide range of research projects is made available to students twice a year. The projects available to each student are determined by their stream. Students may have access from other streams, but have priority only on projects offered by their own stream. Example projects for Data Science include (but are not limited to):
• Integration of Multi-Platform Metabolic Profiling Data With Application to Subclinical Atherosclerosis Detection
• What Makes a Biological Pathway Useful? Investigating Pathway Robustness
• Bioinformatics for mass spectrometry imaging in augmented systems histology
• Processing of 3D imaging hyperspectral datasets for explorative analysis of tumour heterogeneity
• Fusion of molecular and clinical phenotypes to predict patient mortality
• 4-dimensional visualization of high throughput molecular data for surgical diagnostics
• Modelling short but highly multivariate time series in metabolomics and genomics
• Searching for the needle in the haystack: statistically enhanced pattern detection in high resolution molecular spectra
Visit the MRes in Biomedical Research (Data Science) page on the Imperial College London web site for more details!
Imaging has contributed to some of the most significant advances in biomedicine and healthcare and this trend is accelerating. This MSc, taught by leading scientists and clinicians, will equip imaging students from all science backgrounds with detailed knowledge of the advanced imaging techniques which provide new insights into cellular, molecular and functional processes, preparing them for a PhD or a career in industry.
Imaging is essential for diagnosis of disease and development of novel treatments. This programme focuses on translational medical imaging, and the development and use of preclinical imaging technologies to detect, monitor and prevent illnesses such as cancer, heart diseases and neurodegeneration. Students will undertake an independent research-based project in UCL’s world-class laboratories and develop their communication skills in biomedical science.
Students undertake modules to the value of 180 credits.
The programme consists of six core modules (120 credits), and a research dissertation (60 credits).
A Postgraduate Diploma (120 credits, full-time) is offered.
A Postgraduate Certificate (60 credits, full-time) is offered.
There are no optional modules for this programme.
All MSc students undertake an independent research project which culminates in a dissertation of 7,000 words or a manuscript suitable for submission to a peer-reviewed journal.
The programme is delivered through a combination of seminars, lectures, laboratory work, site visits and practicals. Assessment is through examination, presentations, essays, practical reports and the dissertation.
Further information on modules and degree structure is available on the department website: Advanced Biomedical Imaging MSc
UCL is involved in the dynamic and successful London-based entrepreneurial activity in biomedical imaging. It has a strong track record in placing postgraduates in key positions within industry (e.g. Siemens, Philips, GE Healthcare, GSK, SMEs and start-ups) and at other leading academic institutions with preclinical imaging facilities, including the Universities of Oxford and Cambridge in the UK, and MIT and NIH in the US. This MSc will provide ideal training for students who wish to apply to UCL’s EPSRC Centre for Doctoral Training in Medical Imaging.
This programme belongs to the School of Life and Medical Sciences; one of the largest and most prestigious aggregations of academics in its field, with a global reputation for teaching informed by cutting-edge research. Our close links with major hospitals and industry allow students to perform significant research projects. This laboratory experience makes them attractive applicants for PhD studentships or research assistant positions. Around 75% of our graduates have found research positions; either PhD studentships (50%) or research assistant positions (25%) in leading laboratories. Other graduates have taken up positions in industry or continued with specialist clinical training.
UCL offers a world-class environment in medical imaging and hosts several medical and biomedical imaging centres of excellence.
The UCL Centre for Advanced Biomedical Imaging is one of the world’s most advanced imaging centres, with 11 state-of-the-art imaging technologies, and is dedicated to developing imaging techniques of the future. Biomedical imaging is an interdisciplinary field drawing together biology, medicine, physics, engineering, and art.
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: Division of Medicine
80% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.