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This introductory course in glaucoma aims to provide you with the understanding of the condition as well as the knowledge and skills to evaluate a patient who may have glaucoma. It further aims to provide additional specialist knowledge and skills for monitoring patients with diagnosed ocular hypertension (OHT) and suspect open angle glaucoma (OAG) who have an established management plan. You will require to have an intermediate slit lamp skills. This course is designed to suit busy professionals through blended learning that will be carried out 100% online through lectures, forum activities and webinars. This will be supplemented by face to face learning for the practical skills element of the course.

This course follows on from level 1 to further develop your knowledge and skills in the detection, evaluation and management of patients with stable ocular hypertension (OHT) and open angle glaucoma (OAG). You will further develop your skills in detecting change in clinical status and decision making in patients at risk of developing glaucoma. The course is centred around critical evaluation of the evidence base and clinical decision making. This course is designed to suit busy professionals through blended learning that will be carried out 100% online through lectures, forum activities and webinars. This will be supplemented by face to face learning for the practical skills element of the course.

This course aims to equip you with the knowledge and skills to provide non-surgical management of patients with established open angle glaucoma (OAG) and other cases of glaucoma e.g. treated angle closure, pseudo exfoliative glaucoma. It is also builds on critical appraisal of evidence and application to clinical decision making. This course is designed to suit busy professionals through blended learning that will be carried out 100% online through lectures, forum activities and webinars.

This self-paced online course introduces clinicians to data science and provides them with an overview of data science in a clinical context, along with basic skills to handle data. The course gives a broad insight into data science and its application on real data, including artificial intelligence.