Course Code: 667 0013

Course Title: Advanced statistical methods in veterinary epidemiology

College: RVC

Course Director: Dirk Pfeiffer

Course Description: This course will provide an introduction to advanced methods of statistical modelling of epidemiological data. Subject areas covered include: analysis of spatial data; advanced aspects of multivariable regression analysis; analysis of correlated data; meta-analysis and systematic reviews; modelling of production data. Note: Students must already have passed the compulsory core module 'Statistical methods in veterinary epidemiology' and will require access to "Arc View 9.X GIS software. The cost of the GIS software is NOT included in your course fees. You will need to purchase this software if you do not have access to it. A reduced licence fee has been negotiated with the software provider for students registered with the External System. Details of how to purchase the software at the reduced fee will be sent to you on registration. The GIS software used by this programme is subject to a US export embargo, which covers a small number of nations. The list of countries affected by the embargo can be found on the US Department of the Treasury website:. You are strongly advised to visit this website before making an application.

Assessment: Exam 80% - 1 Written Assignment 20%

Course Credit: All RVC 240-hr Short Courses offer transfer of credit to RVC Certificate, Diploma or Masters-level programmes within 4 years of completion

Course Study Hours/Duration: 240 hrs over 35 weeks

Schedule of Availability: The study period is between Feb - Oct. For enrolment, all RVC short courses are available throughout the year on a rolling enrolment basis. However, 240-hr courses (taken from the Masters programmes) have exams to be taken in Oct each year

Delivery Mechanisms: Print; Online VLE (optional)

Cost: £1,295

How to apply: To enquire about applying for this course, or for any other information, please contact the Course Administrator using the online Enquiry Form below