The Usher Institute of Population Health Sciences & Informatics supervises postgraduate research students in a wide range of population health disciplines, including epidemiology, genetic epidemiology, health promotion, health services research, medical statistics, molecular epidemiology and sociology and on a wide range of topics including allergic and respiratory disease, clinical trial and statistics methodology, eHealth, ethnicity and health, genetic epidemiology of complex diseases, global health, palliative care and cancer, society and health and families and relationships.
A principal aim is to foster interdisciplinary research involving quantitative and qualitative approaches via effective collaboration with biomedical scientists, epidemiologists, social scientists and clinical researchers throughout the University and beyond.
Students will be integrated within the existing student-led approach at the Usher Institute, where structures are already in place to ensure a high-quality student experience.
University Quality Assurance monitoring and reporting processes will be adhered to. All supervisors will satisfy University requirements in terms of training and mentoring.
Expectations on the students, including assessment guidelines, will be clearly communicated by multiple channels (e.g. at interview, during induction, in the Postgraduate Research Student and Supervisor Handbook, by supervisors, at annual review meetings and on relevant web pages). All students will have at least two supervisors who will also give pastoral care and career advice in addition to student services provision.
Students will attend appropriate training, including transferrable skills, at appropriate courses (e.g. from the Institute of Academic Development) identified in consultation with the supervisors.
The Usher Institute of Population Health Sciences & Informatics brings together researchers active in population health science research, including public health and primary care.
Within the school the Usher academic staff play a large role in research project supervision.
There are also links with the Institute of Genetics and Molecular Medicine and the Queen's Medical Research Institute.
This programme will help you develop professionally in the theory and practice of statistics and operational research (OR), providing the foundations for a successful career.
This programme will prepare you for work in areas such as the medical and health industry, government, the financial sector and any other area where modern statistical tools and OR techniques are used. You will also develop the wider skills required for solving problems, working in teams and time management.
You will be able to identify appropriate statistical or operational techniques, which can be applied to practical problems, and will acquire extensive skills in modelling using the packages R for Statistics and Arena for simulation. In addition, you will acquire the ability to use high-level applications in Excel.
This MSc consists of lecture-based courses and practical, lab-based courses. You will be assessed by exams, written reports, programming assignments and a dissertation project. The set of courses available is subject to review in order to maintain a modern and relevant MSc programme.
Previous compulsory courses for 2016-17:
Previous option courses for 2016-17 include:
This programme is ideal for students who wish to apply their statistics and operational research knowledge within a wide range of sectors including the medical and health sector, government and finance. The advanced problem-solving skills you will develop will be highly prized by many employers.
The dissertation projects of approximately half the students on this programme take place in public and private sector organisations. Other students choose a University-based project.
The MSc in Global Health Science and Epidemiology is a one-year full-time degree that provides core training in the basic skills of epidemiology and statistics, followed by detailed lectures on the global burden and determinants of disease. The course is open to graduates in medicine, biomedical science and other numerate disciplines.
The course is now open to applications for admission in October 2018. All applications received by the deadline of Monday 8th January 2018 will automatically be considered for all relevant competitive University funding opportunities, including the Clarendon Fund, Medical Research Council funding, and various College funds.
For further details about eligibility and the application process, please contact our Graduate Studies Office via [email protected].
The course will provide advanced training in epidemiological principles and procedures and the statistical analysis of epidemiological data, critical appraisal, study design and protocol development together with advanced knowledge and understanding of the global burden of disease and its determinants. This is an intensive course with 15-20 hours of contact time per week throughout the taught component of the course.
The curriculum consists of thirteen compulsory modules:
• Introduction to Global Health Science
• Principles of Epidemiology
• Principles of Statistics
• Non-communicable Diseases
• Communicable Diseases
• Maternal and Child Health
• Health Economics
• Clinical Trials and Meta-analysis
• Nutritional Epidemiology
• Implementation Strategies
• Genetic Epidemiology
• Record Linkage and Bio-informatics
• International Research Ethics
In addition a series of weekly 'masterclasses' is scheduled in which internationally-recognised senior scientists in population health from Oxford, and elsewhere, will give seminars on selected topics. These sessions will be outside of the structure of the core modules, and are intended to provide the students with stimulating materials to integrate population health thinking and perspectives.
The teaching is delivered through a range of methods, including lectures, seminars, workshops, student presentations, self-directed learning and study.
During the first two terms there are a series of formative assessments designed to enable teaching staff to monitor student progress. These marks do not contribute to the final marks. All students are provided with detailed feedback that will enable them to improve their learning by helping them identify their strengths and weaknesses.
There are four summative assessments in total. At the end of the Easter break this includes the submission of a data set analysis and report, and an extended essay. At the beginning of the third term there are two examinations involving two written papers comprising multi-component questions.
Following the written examinations students will undertake a research placement, leading to a dissertation. The purpose of the research placement and dissertation is to develop and deepen an appreciation and understanding of epidemiological concepts and skills learned during the course and to apply to a real world situation through independent study.