Artificial Intelligence for Healthcare

University of Hull

United Kingdom, Hull

University RankQS Ranking

521

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University of Hull

United Kingdom , Hull

Key Facts

Program Level

Master by Course Work

Study Type

Full Time

Delivery

On Campus

Campuses

Main Site

Program Language

English

Start & Deadlines

Next Intake Deadlines29-Jan-2026

Apply to this program

Go to the official application for the university

Duration 1 year(s)

Tuition Fee

GBP 15,000 / year(s)

Next Intake 29-Jan-2026

Artificial Intelligence for Healthcare

About

About this course

Want to change direction? Switch careers? Upskill? This fast-track Masters is for you.

Taught in our £4.5 million Centre of Excellence for Data Science, Artificial Intelligence and Modelling (DAIM), our MSc offers a fast-track to career success in this dynamic field.

A revolution is underway in the healthcare sector. Increasingly data science and artificial intelligence are automating tasks that used to take a long time to implement by hand. This degree will teach you how to optimise processes within the sector and you will learn from experts who have careers in the same. Data is one of the 21st century’s most valuable commodities. Understanding how to analyse, validate and interpret it to inform decision-making are key skills in just about every walk of life.

As a conversion degree, you do not need a science background. And the knowledge you gain will help you build a portfolio that will launch you into the field of data science, acquiring highly sought after skills that will greatly enhance your career pathway. The programme will cover topics such as, programming, statistics, machine learning, data visualisation and computer vision and the ethical and legal responsibilities of using data. This health variant will include bespoke modules covering medical imaging, how artificial intelligence can work hand-in-hand with humans in a healthcare and clinical setting and with real-world healthcare challenges.

In the third semester, you will have the opportunity to choose or design your own research project in a disciplinary area which can relate to your background or career goals. Alternatively, there may also be opportunity to undertake a project working with an industry partner such as our connections to the local NHS providers in Castle Hill Teaching Hospital.

Join the AI revolution in improving modern-day medical treatments!

Requirements

Entry Requirements

What do I need?

Typical offer

2:2 in relevant subject area

Applicants will require a 2:2 Undergraduate honours degree in any subject that includes a numerical component (i.e. statistical analysis, or formal mathematics, or programming in any given language), or equivalent industrial experience.

Additional entry requirements for this course

A personal statement outlining experience of coding or numeracy skills is required from all students, to evaluate their suitability for the course.

A more detailed personal statement outlining their eligibility for the scholarship will be required for students applying for scholarship funding

If you require a student visa to study or if your first language is not English you will be required to provide acceptable evidence of your English language proficiency level.

This course requires academic IELTS 6.5 overall, with no less than 6.0 in each skill. See other English language proficiency qualifications accepted by the University of Hull.

If your English currently does not reach the University’s required standard for this programme, you may be interested in one of our English language courses.

Visit your country page to find out more about our entry requirements.

Career

Future prospects

There's a significant shortage of qualified professionals who can apply AI to healthcare, making you highly sought after by employers.

You'll graduate with the expertise to apply AI and data science techniques to solve real-world healthcare challenges. This could lead to a career as a data scientist in various sectors, including healthcare technology and pharmaceutical companies.

You’ll also develop the ability to critically assess AI and data science methodologies, plan and execute empirical research, and effectively interpret, present, and communicate the outcomes of AI-driven solutions. This will prepare you for further study or a career in a wide range of healthcare-related fields.