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Different course options

Study mode

Part time

Duration

2 years

Start date

OCT

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Medical Statistics Health Care / Medicine Teaching / Training

Course type

Taught

Course Summary

This is a course for health professionals who wish to strengthen their statistical skills and ability to analyse data. Students will gain the confidence in carrying out the methods that are widely used in medical statistics, and interpreting the results for the practice of evidence-based health care.

This is a joint programme between the Nuffield Department of Primary Care Health Sciences and the Department for Continuing Education. The Programme works in collaboration with the renowned Centre for Evidence-Based Medicine in Oxford.

This course is designed for doctors, nurses, pharmacists, midwives and other healthcare professionals, seeking to consolidate their understanding and ability in medical statistics. Core modules introduce the students to methods for observational and clinical trials research. Optional modules offer the students skills in growth areas such as systematic review, meta-analysis, and big data epidemiology, or specialist areas such as statistical computing, diagnosis and screening research and others. Teaching is tailored to non-statisticians and delivered by an experienced team of tutors from University of Oxford who bridge the disciplines of medical statistics and evidence-based health care.

This programme guides students through core and optional modules and a dissertation to a qualification in the application of medical statistics to evidence-based health care. Compared to the main EBHC programme, this will suit those with basic statistical understanding who seek training who now seek deeper understanding on a broader base of statistical methods.

Course aims

The course aims to give healthcare professionals high competence in the concepts, methods, terminology and interpretation of medical statistics; and hence, enhance their ability to carry out their own research and to interpret published evidence.

  • Gain competence in execution and interpretation of core statistical techniques used by medical statisticians (outside the context of clinical trials), particularly those used in multivariable analyses: multiple linear regression, logistic regression, and survival modelling; statistical analysis plans and statistical reporting.
  • Gain competence in execution and interpretation of core statistical techniques used by medical statisticians in clinical trials.
  • Gain competence in execution and interpretation of four other areas, selected by the student from the following options: meta-analysis; systematic review; big data epidemiology; statistical computing; diagnosis and screening; study design and research methods.
  • Gain hands-on experience, supervised by a senior member of our medical statistics team, of the analysis or meta-analysis of healthcare data, in order to address a question in evidence-based health care.

Modules

This module is designed for health care professionals or graduate students who already have some research experience and an understanding of basic statistical principles, and who wish to develop their statistical expertise. Teaching is interactive and will emphasise the practical application of statistical methods to real-life problems, rather than statistical theory. Students will be able to explore and analyse data using a variety statistical packages.
Dissertation

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£6,585

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£6,585

Average for all Postgrad courses (per year)

£12,227

Entry requirements

As a minimum, applicants should hold or be predicted to achieve the equivalent of the following UK qualifications: a first-class or strong upper second-class undergraduate degree with honours in any subject. be a graduate or have successfully completed a professional training course; have professional work experience in the health service or a health-related field; Competence in basic statistics: concepts of p-values, confidence intervals, hypothesis tests; a high level of computer literacy. Programming experience is not required but readiness to learn to use statistics packages through command line rather than mouse-and-menu interface is essential.