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Graduate

MSc in Evidence-Based Health Care (Medical Statistics)

A course designed for health professionals, focusing on statistical methods, clinical trials, meta-analysis, and big data to support evidence-based decision-making.

Part time

Open
Upcoming application deadline for 2027-28 entry:
12:00 midday UK time on Wednesday 27 January 2027

Expected length
2-4 years
Expected start date
October 2027
English language level
Higher level required

Application deadlines

12:00 midday UK time

Final application deadline for Oxford scholarships

12:00 midday UK time

Expected to be the final application deadline

After the final application deadline has passed, this course may remain open or reopen if places are available.

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About the course

The 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 you to methods for observational and clinical trials research. Optional modules offer you 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.

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

The course aims to give you:

  • competence in execution and interpretation of core statistical techniques used by medical statisticians, particularly those used in multivariable analyses: multiple linear regression, logistic regression, and survival modelling, statistical analysis plans and statistical reporting
  • competence in execution and interpretation of core statistical techniques used by medical statisticians in clinical trials
  • competence in execution and interpretation of four other areas, which you will select from the following options: clinical prediction rules; meta-analysis; systematic reviews or complex reviews; big data epidemiology; statistical computing; diagnosis and screening; study design and research methods
  • 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.

Compared to the main EBHC course, MSc in Evidence-Based Health Care, this will suit those with basic statistical understanding who now seek deeper understanding on a broader base of statistical methods.

The MSc is a joint course offered between the Nuffield Department of Primary Care Health Sciences and Oxford Lifelong Learning. The course works in collaboration with the renowned Centre for Evidence-Based Medicine in Oxford.

This course has teachers and contributors who are internationally recognised leaders in the field of evidence-based practice and teaching. The flexible structure of the course has been devised to fit with the structure of specialist training and to accommodate student choice.

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 healthcare.

Course structure

This section provides an overview of the course structure, while details of the individual course components are provided below.

You will be guided through two core modules, four optional modules, and a dissertation leading to a qualification in the application of medical statistics to evidence-based healthcare. The majority of modules are run over either an eight, or fifteen-week learning cycle and are spaced throughout the academic year. This allows for a choice of options to be taken over the two to four years that you attend the course.

Most modules are either delivered fully online or in a blended format. However, some modules are only delivered with a blended format that includes a five-day attendance in Oxford, and some are only run entirely online. In any given year, not all delivery formats for a module may be available.

More information about the course and modules can be found on the course page, on the Oxford Lifelong Learning website (See Information about the department offering this course).

Blended format

An initial period of self-directed study is spent on introductory activities using a Virtual Learning Environment (VLE). This is followed by a week spent in Oxford for supported face-to-face teaching, and then a further period of Post-Oxford activities (a mixture of self-directed and supported distance learning also delivered through the VLE). The final week of each module is for self-directed personal study, shortly followed by the assignment submission.

Fully online format

Fully-online modules are delivered through the VLE with the first week allocated to self-directed introductory activities.

For some courses, you will have a number of units to work through which are released week by week. Each unit includes a mixture of supported and self-directed learning with discussion forums, tasks and activities. You will then have five weeks of self-directed personal study with use of a revision forum and the requirement to submit an assignment electronically the following week. These courses that usually run over a 15-week period.

For other courses, five consecutive days of synchronous and asynchronous teaching sessions will be followed by a further period of activities (a mixture of self-directed and supported distance learning also delivered through the VLE). The final week of each module is for self-directed personal study, shortly followed by the assignment submission. These courses usually run over an eight-week period.

Core components

You will take two core modules and write a dissertation.

Option modules

You will choose four option modules.

Course details

Entry requirements

For entry in 2027-28

Funding and costs

College preference

Before you apply

Completing your application

Contact details