StudyQA — Master: Evidence Based Health Care Medical Statistics

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Description Contents Requirements Funding

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's Continuing Professional Development Centre. 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.

The MSc in EBHC Medical Statistics is a part-time course.

There are two compulsory modules, four option modules (two from group 1 and two more either from either group 1 or 2) and a dissertation.

Compulsory Modules

Essential Medical Statistics
Statistics for Clinical Trials

Optional Modules - 1

Meta-analysis
Big Data Epidemiology
Statistical Computing with R and Stata (online)

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).

Applicants are normally expected to be predicted or have achieved a first-class or strong upper second-class undergraduate degree with honours (or equivalent international qualifications), as a minimum, in any subject.

For applicants with a degree from the USA, the minimum GPA normally sought is 3.6 out of 4.0.

If you hold non-UK qualifications and wish to check how your qualifications match these requirements, you can contact the National Recognition Information Centre for the United Kingdom (UK NARIC).

Successful completion of a professional training course or professional work experience in the health service or a health-related field may also be considered.

No Graduate Record Examination (GRE) or GMAT scores are sought.

Other appropriate indicators will include:

Official transcript(s)
CV/résumé
Statement of purpose/personal statement:500 words
References/letters of recommendation:Three overall, of which at least two must be academic