Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc 1 year full-time online, 2 years part-time online
This flexible online programme will provide you with an excellent grounding in statistics for clinical trials. You will learn about all types of trials, from early to late phase trials and simple to complex interventions, from both a design and analysis perspective. You will also learn to code in R and STATA. Graduates of this programme will be prepared to pursue meaningful careers in the academic field, industry, or further study at PhD level. Clinicians taking this programme will be equipped with essential, in-demand skills to be involved in clinical trials and fully engage with statisticians.
Clinical trials, and statistics in clinical trials in particular, is an expanding field of research that offers many exciting career opportunities for graduates. There has been constant progress in biomedical research, including molecularly targeted therapies in cancer, and messenger RNA technologies in vaccines in research.
Statistics is a fundamental discipline in clinical trials. Statisticians ensure that study designs are statistically robust so that research questions can be answered. They carry out statistical tests and assess uncertainty in the results to determine whether the data supports the research hypotheses.
Who this course is for
The programme is accessible to graduates with UK degrees, or an overseas qualification of an equivalent standard, in a related quantitative discipline (e.g. mathematics, (bio)statistics, computational genomics/genetics, computational biology) and health professionals (e.g. clinicians).
Clinicians and other allied health professionals are required to have a degree (for example, an MBBS) and demonstrate evidence of having completed quantitative modules (please contact the programme team to discuss your circumstances).
A minimum of an upper second-class Bachelor’s degree or Merit at Master’s level from a UK university or an overseas qualification of an equivalent standard, in a related quantitative discipline (e.g. mathematics, statistics, biostatistics, genetics, computational biology) and health professionals (e.g. clinicians). Clinicians and other allied health professionals are required to have a degree (for example, an MBBS) and evidence of having completed quantitative modules, as well as a keen interest in medical statistics.
For fees and funding options, please visit website to find out more
UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.
Clinical trials, and statistics in clinical trials in particular, is an expanding and highly competitive field of research yet employers find it challenging to recruit people with the appropriate skills and knowledge.
It is a regulatory requirement that every trial receives input from a qualified statistician. This programme has been designed in consultation with employers from academia, the pharmaceutical industry and the NHS. It will give graduates the critical thinking, problem-solving and practical skills that employers seek in this multidisciplinary, collaborative field.
Students completing the MSc Statistics for Clinical Trials will be eligible to work as statisticians in clinical trials. For clinicians, the programme will provide the statistical tools to be involved in research and clinical trials.
The qualification may also be used as a springboard for further study at PhD-level in the field of clinical trials.
Employability
Potential career opportunities include clinical trial statistics in academic trials units, the pharmaceutical industry, contract research organisations, hospitals and government organisations. Students may also use this qualification as a springboard for further study at doctoral level. Clinicians and other allied health professionals will possess the right knowledge and statistical skills to work in clinical research, in particular clinical trials.
Compulsory modules
Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability are subject to change.
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