The Graduate Certificate of Applied Statistics will give you a practical knowledge of statistical methods that you can confidently apply in your workplace or your area of interest. You’ll become familiar with statistical software packages such as R and IBM SPSS, learn best-practice methods for research design, and develop your data analysis skills. You’ll build your problem-solving capability by working with real-life data and completing group activities. This qualification is well suited to graduates of other disciplines or those who need to use statistics in their role but haven’t had formal applied statistics training. Your skills can be applied to a wide range of disciplines and industries, including market research, business, sports and health. This course is designed for graduates in any discipline, especially for humanities, social sciences, health sciences, information systems and business graduates who have a professional interest in the use of statistics. It is also applicable to other graduates who have a need to use statistics in their work but have not had sufficient experience with applied statistics. It concentrates on practical skills and enables participants to broaden their theoretical and practical knowledge in the basic areas of statistics. Career opportunities Graduates may seek research assistant positions involving both the management and application of research in a wide variety of areas including government agencies, market research, education, medical and biological sciences, town planning, social research or sports areas. Aims and objectives Students who successfully complete this course will be able to: demonstrate the ability to critically think, review, analyse and consolidate statistical knowledge to provide solutions to complex problems in diverse fields synthesise communication skills to demonstrate an understanding of theoretical statistical concepts to transfer knowledge and ideas to a variety of audiences defend the application of statistical knowledge and skills to make independent judgements in a range of technical or management functions in varied specialised contexts demonstrate responsibility and accountability for personal outputs and all aspects of the work or function of others within broad parameters.