Clinical epidemiology extends the principles of epidemiology to clinical practice. It incorporates the location, evaluation and application of the best evidence to patient care by clinicians as well as the generation of high quality research evidence by clinical researchers.
Students entering the clinical epidemiology programs are expected to have some clinical experience.
Semester 2 2015 applications
The applications deadline for the Clinical Epidemiology courses has been extended until Sunday 19th July 2015.
Scholarships for local Masters Students
In 2015 the University of Sydney is offering a limited number of scholarships for students enrolling in the Master of Clinical Epidemiology. The scholarships equate to a fee reduction over the life of the Master degrees, and are offered on a competitive basis, awarded on academic merit and achievement relative to opportunity. These scholarships are only open to local students applying for Masters degrees, on a full or part-time basis. Please note that the scholarship applications deadline is 31 January 2015. Students commencing their study in semester 2 2015 are eligible to apply for the semester 1 2016 scholarship applications round. Interested applicants are asked to contact Clinical Epidemiology by sending a completed Scholarship Application Form accompanied by current resume, cover letter and academic transcript.
Some students may be eligible for government financial help in the form of Austudy during their studies as both the Master of Clinical Epidemiology and the Graduate Diploma are approved courses for Austudy payments. To be eligible you must be at least 25 years of age, be enrolled full-time, be an Australian resident, and meet income and assets test requirements. Further information about austudy is avaiable via this link
To train clinicians to have superior skills in the location, appraisal, application and development of high quality clinical research. These advanced clinical skills will benefit:
- Medical practitioners and specialists
- Other allied health professionals
- Clinical researchers
Outcomes for graduates
Upon completion of a clinical epidemiology degree all students will be able to:
- Formulate clinical questions, locate the highest quality evidence for a given question, appraise and interpret the clinical research evidence, and apply the evidence to specific clinical situations.
- Understand the strengths and weaknesses of important clinical study types including randomised controlled trials, diagnostic tests studies, observational studies and systematic reviews.
- Have an understanding of biostatistical methods relevant to clinical research and practice.
Students will also obtain knowledge and skills in one or more of the following areas:
- Have developed practical skills in clinical epidemiology including: designing a research study, writing a scientific paper or grant proposal, or teaching clinical epidemiology to colleagues or other students.
- Have an understanding of more advanced biostatistical methods and develop practical skills in conducting quantitative research analyses such as multiple linear regression, categorical data analysis and survival analysis.
- Understand qualitative research techniques from an introductory to advanced level.
- Understand ethical issues in healthcare and clinical research.
Why study clinical epidemiology with us
- Our programs are taught by clinicians for clinicians, making them highly relevant to your professional work.
- Our staff have wide-ranging clinical experience which enriches your learning experience. Read more about our staff here.
- Your enhanced abilities in delivering Evidence Based Medicine (EBM) will progress your career as a clinician
- We offer you flexibility to choose full-time or part-time study as well as online, face-to-face or a mix of both modes of delivery.
- You will offer superior care to your patients.
- Your enhanced skills in research design and analysis techniques will enable you to produce high quality clinical research.
Clinical Epidemiology Accreditation
Clinical Epidemiology alumni may apply for CPD/CME points with the following collages:
- General Practitioners
- Emergency Medicine
Clinical Epidemiology Program is accredited by the Royal Australasian College of Surgeons. Additionally:
- Paediatric Surgery – Clinical Epidemiology may be granted points for Surgical Education & Training applications.
- Urology - applicants who complete a Graduate Diploma (Clinical Epidemiology), Master of Medicine (Clinical Epidemiology) or Master of Science in Medicine (Clinical Epidemiology) may attain points in the Qualifications section of their CV. No points can be awarded for qualifications commenced in the year of application. All SET Urology trainees are required to undertake the Critical Literature Evaluation and Research (CLEAR) course which is provided by the RACS. SET Urology trainees could apply for exemption from the CLEAR course if they had completed the Graduate Diploma (Clinical Epidemiology), the Master of Medicine (Clinical Epidemiology) or the Master of Science in Medicine (Clinical Epidemiology)
- Vascular Surgery - applicants may be awarded points for attending Clinical Epidemiology courses.
- Plastic and Reconstructive Surgery - applicants for selection into the Training Program (SET) are given one point for completing Clinical Epidemiology degrees.
CEPI5100 Introduction to Clinical Epidemiology has been approved by the Australasian College for Emergency Medicine for the Trainee Research Requirement.
- Master of Medicine (Clinical Epidemiology) - for MD/MBBS graduates
- Master of Science in Medicine (Clinical Epidemiology) - for non-medical graduates
- Graduate Diploma in Clinical Epidemiology
- Graduate Certificate in Clinical Epidemiology
Professional development short courses
- Professional development - Clinical Epidemiology Fundamentals
- Professional development - Introductory Biostatistics
- Professional development - Introducing Qualitative Health Research
- Professional development - Multiple Regression and Statistical Computing
- Professional development - Introductory Analysis of Linked Data