MSc in EBHC Medical Statistics
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.
Watch the following video for more information about the course:
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.
The MSc in EBHC Medical Statistics is a part-time course.
There are two compulsory modules, four option modules (two from group 1 and one more either from group 1 or two more from group 2) and a dissertation.
Optional Modules - 1
Optional Modules - 2
- Introduction to Study Design and Research Methods
- Systematic Reviews
- Evidence-based Diagnosis and Screening
A module is run over an eight week cycle where the first week is spent working on introductory activities using a Virtual Learning Environment, the second week is spent in Oxford for the face to face teaching week (this takes place on the dates advertised), there are then four Post-Oxford activities (delivered through the VLE) which are designed to help you write your assignment. You then have a week of personal study and you will be required to submit your assignment electronically the following week (usually on a Tuesday at 14:00 UK Local Time).
Online modules are delivered entirely through a Virtual Learning Environment with the first week allocated to introductory activities. There are ten units to work through which are released week by week (starting on the dates advertised), you then have five weeks of personal study with use of a revision forum and then you will be required to submit your assignment electronically the following week (usually on a Tuesday at 14:00 UK Local Time).
Assessment for each module will be based on a written assignment, which shall not be of more than 4,000 words. Students for the MSc will also be required to complete a dissertation on a topic chosen in consultation with a supervisor and the Course Director. The dissertation should not normally exceed 15,000 words.
To complete the MSc students must:
- Attend and complete 2 compulsory and 4 option modules
- Complete a dissertation on a topic chosen in consultation with a supervisor and the Course Director. The dissertation should normally not exceed 15,000 words.
- Attend a viva voce examination at the end of the course of studies at the discretion of the examiners
Fee rates for the academic year 2019-20*
*Rates for 2020/21 to be confirmed
These rates (in pounds sterling) are for students joining in the 2019-20 academic year and will increase annually.
The annual award fee is due for every academic year (or part-year) attended; module or dissertation fees are due in advance as invoiced. Fees must be paid in accordance with the Terms and Conditions for the programme.
Annual Award Fee:
£1,925 (per taught module)
£5,775 (equivalent to 3 module fees)
Illustration for full programme (completing in three years, with six taught modules and a dissertation)
3 annual award fees:
£18,990 (see notes 1 and 2)
plus 6 module fees: £11,550 (see notes 1 and 2)
plus dissertation fee: £5,775 (see notes 1 and 2)
£36,315 (see notes 1 and 2)
- The fee rates listed are for the academic year shown, and you should be aware that these rates will increase annually.
- The Illustration is based on the fee rates for the academic year shown; however, fee rates for attendance in future years will increase, so students attending for more than one year should expect the total to be higher than is shown in the Illustration. The exact amount will depend on the fee rates set annually, and upon the years you are in attendance; these are normally published well before the start of each academic year, but for your own budgetary purposes you may wish to estimate a 5% annual increase on fee rates.
- MSc students are matriculated and are full members of the Collegiate University; college fees are included within the MSc programme fees and are paid to the colleges on a student’s behalf.
- Funding: Overseas students applying for the MSc in Evidence-Based Health Care are eligible to apply for a Clarendon Fund Scholarship.
- The Oxford-McCall MacBain Graduate Scholarship is open to any student applying to either of the Evidence-Based Health Care courses (MSc or DPhil); eligible candidates will be automatically considered as part of their application.
Details of funding opportunities, including grants, bursaries, loans, scholarships and benefit information are available on our Fees and Funding page.
Level and demands
To be eligible for the course you should:
For the full Selection Criteria please refer to the Graduate Admissions and Funding website.
- be a graduate or have successfully completed a professional training course
- have professional work experience in the health service or a health-related field
- be able to combine intensive classroom learning with the application of the principles and practices of evidence-based health care within the work place
- have a good working knowledge of email, internet, word processing and Windows applications (for communications with course members, course team and administration)
- show evidence of the ability to commit time to study and an employer's commitment to make time available to study, complete course work and attend course and university events and modules.
Applicants for the MSc in Evidence-Based Health Care (Medical Statistics) are also required to meet the following additional entry requirements:
- 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.
Apply for this course
Early application for the programme is advised. Applications which have not been fully completed before the application deadline cannot be considered, so please ensure any applications are received by us in good time so that we may advise of missing or incorrectly completed elements. Shortlisted applicants will be invited to telephone interview, and asked to provide evidence of their funding for the programme.
Applications open on 3rd September 2018 for entry in October 2019. To see if this course is still open for applications for admission in October 2019 please visit the University of Oxford Graduate Admissions website. Courses with a green admission status are open for applications, amber means the course will be closing at 12 noon on the following Friday and red means it has closed to new applications.
For further information on applying, please refer to the Application Guide. Please read our Terms and Conditions before submitting your application. If you would like to discuss your application or any part of the application process before applying please contact:
Sue Pearson (Programme Manager)
Tel: +44 (0)1865 286947 - Email: firstname.lastname@example.org
Terms and conditions
Terms and conditions for applicants and students on this course
Sources of funding
Information on financial support