PGDip Computational Health Data Science

University of Leicester

In this conversion course, you will learn how to interrogate existing health-related data sets to solve complex challenges in healthcare and design digital solutions that improve patient outcomes. You'll gain the skills to communicate your findings with maximum visual impact to diverse audiences. This course is for you if you want to solve real-world healthcare challenges using data-driven approaches, with effective communication and user-centric approaches to designing solutions. Advanced mathematics or computing skills are not prerequisites, although individuals with backgrounds in mathematical sciences or computing will find opportunities to deepen and further develop their expertise. Computational Health Data Science focusses on designing healthcare apps, creating digital services and developing analytics pipelines. You’ll gain insights into the unique challenges of the healthcare industry, including the integration of human-computer interaction (HCI) principles and ethical considerations in health technology design. The curriculum equips you with cutting-edge data science tools and methodologies to address critical healthcare problems on both local and global scales. From improving patient care pathways to supporting healthcare decision-making with advanced analytics, this degree prepares you to tackle some of the most impactful challenges in the health sector. We also integrate AI tools into the curriculum, teaching you to use them professionally to streamline workflows and implement robust, ethical and human-centred data science solutions.