MSc Artificial Intelligence for Healthcare

1 Year On Campus Masters Program

University of Hull

Program Overview

The MSc Artificial Intelligence for Healthcare at the University of Hull trains students to apply AI, machine learning and data-science methods to medical, clinical and health-system challenges. It suits graduates from computing, life sciences or related fields who want careers in digital health, biomedical analytics or clinical AI development.

Curriculum structure

Students begin with Programming for AI and Data Science, Understanding Artificial Intelligence, and Health Data Science, where they develop coding skills, learn core ML concepts, and work with clinical datasets. They then study Medical Imaging and Artificial Intelligence, gaining experience in applying AI models to diagnostic imaging and healthcare prediction tasks. The degree concludes with a Research Project, allowing students to design and implement an AI-driven healthcare solution or data-science study.

Focus areas: “health data science, medical imaging AI, machine learning, clinical analytics, applied health-AI projects.”

Learning outcomes: “apply ML to health data, analyse medical datasets, build AI diagnostic/predictive models, conduct independent healthcare-AI research.”

Professional alignment: Prepares graduates for roles in digital health, hospital analytics, biomedical data science, and health-tech innovation.

Reputation: Strong applied AI training supports employability in rapidly growing health-AI and biomedical informatics sectors.

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills by applying AI and data science techniques to real-world clinical datasets and healthcare challenges, using the University's high-performance computing infrastructure. This applied learning is central to the curriculum:

Software: Training in Python and R with key healthcare AI libraries like TensorFlow, PyTorch, and Scikit-learn.
Healthcare Data: Practical work with clinical datasets to develop diagnostic and predictive models.
Research Project: An individual dissertation focusing on an AI application in healthcare.
Computing Facilities: Access to the University's High-Performance Computing (HPC) resources.
Clinical Context: Curriculum covers NHS data standards and clinical AI implementation challenges.

Progression & Future Opportunities

Graduates of the University of Hull's MSc Artificial Intelligence for Healthcare acquire skills in machine learning, data visualization, medical imaging, and ethical AI application to real-world clinical data, addressing shortages in healthcare data science. The program, housed in the £4.5M DAIM Centre, prepares alumni via projects with NHS partners like Castle Hill Hospital for transformative roles in diagnostics, patient care, and treatment optimization. Typical job roles: healthcare data scientist, AI medical imaging specialist, clinical AI consultant, health informatics analyst.

University services: Careers service offers CV support, interview practice, job fairs, Handshake platform, and NHS-linked placements.
Employment stats/salary: High demand; data scientists start at £35,000–£50,000.
Partnerships: Local NHS (Castle Hill Hospital), DAIM Centre collaborators.
Accreditation value: Hull's DAIM expertise ensures lasting recognition in AI-health.
Outcomes: Data science careers in pharma/health tech, research, leadership.

Further Academic Progression: Pursue PhD in AI healthcare, data science, or medical imaging at Hull, extending dissertation with NHS data.

Book Free Session with Our Admission Experts

Embark on your educational journey with confidence! Our team of admission experts is here to guide you through the process. Book a free session now to receive personalized advice, assistance with applications, and insights into your dream school. Whether you're applying to college, graduate school, or specialized programs, we're here to help you succeed.