Introduction to Health Statistics

10 credits at Level 7

Module leader - Professor Catherine Hewitt

Overview

This course provides you with the basic skills to carry out your own research project including designing a questionnaire, collecting data, processing and undertaking basic statistical analysis in SPSS. You will also gain the ability to read basic quantitative aspects of health research papers and be introduced to the basic ideas of statistical analysis and presentation.

This module is the first introductory statistics course within the Department's statistical provision.

Each session is composed of a lecture and for half of the sessions also includes a computer lab session where you have the opportunity to analyse real data using the statistical software SPSS. The computer lab sessions offer you an introduction to hands on experience in applying statistical techniques with the support of a team of tutors.

The course aims to provide you with the basic understanding and skills in designing questionnaires and descriptive and inferential statistics inclusive of correlation and simple linear regression and evaluate their use in published health research papers.

Follow the link for further details of Introduction to Health Statistics - HEA00091M

Entry

You should normally be a graduate with a 2:1 degree or higher, or equivalent from an overseas university, and be able to demonstrate that you have the necessary knowledge of and interest in a relevant area of health sciences. Applicants are assessed on a case-by-case basis, and we follow the University’s Equal Opportunities policy.

Credits and Cost

Qualification awarded

If you successfully complete this course you will be awarded 10 credit points by the University of York, at Level 7. 

Cost

Please visit www.york.ac.uk/healthsciences/gradschool/funding/.

Start Dates and Timetable

This course runs once a year in the Autumn term.

 

For informal enquiries about this course email dohs-pg-enquiries@york.ac.uk.

To apply 

Postgraduate application form (MS Word , 74kb).