Computing Skills and Python

The University of Exeter blends a proud history with a modern, research-led education. Founded from the Exeter Schools of Art and Science and granted university status in 1955, Exeter now serves over 30,000 students and welcomes more than 6,700 international scholars. Its four-campus model offers a city-centre and a coastal Cornwall experience, giving students access to diverse environments and communities.

Academically, Exeter is known for strong multidisciplinary research and high graduate employability. With 148 programs spanning humanities, sciences, medicine and engineering, students benefit from well-equipped laboratories, specialist facilities and close faculty engagement. Research centres tackle global challenges across climate, health and data, creating opportunities for undergraduates and postgraduates to join impactful projects and industry collaborations.

Student life is vibrant and supportive, with extensive services for international students, active societies and career support that helps graduates enter competitive job markets. Accommodation and campus facilities score highly, and the city of Exeter offers an appealing balance of history, culture and outdoor access. For students seeking a top-ranked UK university with a research focus, strong student support and clear pathways to employment, Exeter provides a welcoming and ambitious environment.

This short course is designed for healthcare, life sciences, or public health professionals, as well as researchers and graduates eager to develop practical computing and Python skills for health data. It is particularly suited for those from non-computing backgrounds who wish to acquire valuable skills in data analysis and programming.

Throughout the course, students will explore essential computing concepts tailored for health data science. The curriculum emphasizes practical programming in Python, starting from fundamental concepts and advancing to data management, visualization, and introductory machine learning techniques. Participants will also learn about tools like cloud computing, Linux, SQL, and Git, ensuring they are well-prepared for real-world applications.

Graduates of this course can pursue various job titles, including Data Analyst, Health Data Scientist, Research Analyst, and Software Developer. Employers may include healthcare organizations, research institutions, and tech companies focused on health data solutions. The skills gained are transferable across industries, making graduates versatile in the job market.