Program Overview

MSc Artificial Intelligence for Healthcare

The MSc Artificial Intelligence for Healthcare is a postgraduate taught course that focuses on the application of artificial intelligence and data science in the healthcare sector. The course is designed to equip students with the skills and knowledge required to work in this field, including programming, data analysis, and machine learning.

Course Overview

The course is taught in the Centre of Excellence for Data Science, Artificial Intelligence and Modelling (DAIM) and covers topics such as:

• Introduction to programming
• Fundamentals of data science
• Understanding artificial intelligence
• Artificial intelligence as a medical device
• Research and application in artificial intelligence and data science
• Medical imaging and artificial intelligence

Module Options

The course consists of several modules, including:

• Introduction to Programming (20 credits)
• Fundamentals of Data Science (20 credits)
• Understanding Artificial Intelligence (20 credits)
• Artificial Intelligence as a Medical Device (20 credits)
• Research and Application in Artificial Intelligence and Data Science (20 credits)
• Artificial Intelligence and Data Science Research Project (60 credits)
• Medical Imaging and Artificial Intelligence (20 credits)

Entry Requirements

To be eligible for the course, students must have:

• A 2:2 undergraduate degree in a relevant subject area
• A numerical component (e.g., statistical analysis, formal mathematics, programming in any given language)
• Equivalent industrial experience

Fees and Funding

The tuition fee for the course is Ł12,900 per year for UK students and Ł19,950 per year for international students. Students may be eligible for scholarships, bursaries, or other forms of funding.

Facilities

The course is taught in state-of-the-art facilities, including the DAIM centre, which features 250 high-spec PCs. Students also have access to supercomputing facilities, the Brynmor Jones Library, and other resources.

Career Prospects

Graduates of the course will be highly sought after by employers in the healthcare sector and other industries. They will have the skills and knowledge required to work in roles such as data scientist, artificial intelligence engineer, and healthcare analyst.

Research Areas

The course covers a range of research areas, including:

• Artificial intelligence and machine learning
• Data science and analytics
• Medical imaging and image analysis
• Healthcare technology and innovation

Academic Team

The course is taught by a team of experienced academics and industry professionals, including:

• Kevin Pimbblet, Director of DAIM and Professor of Astrophysics
• Will Jones, Lecturer and Director of Research in the Centre of Excellence for Data Science, AI, and Modelling

Scholarship Opportunities

The University of Hull offers a range of scholarships and bursaries to students, including the Alumni Postgraduate Scholarship, which provides a 20% discount on tuition fees for University of Hull undergraduates progressing to a taught postgraduate course.