Postgraduate Taught

Artificial Intelligence for Healthcare

You’ll explore the full spectrum of AI applications in healthcare, gaining a diverse set of skills that will position you at the cutting edge of healthcare innovation and technology.

This conversion course gives you the chance to switch careers and a fast-track route to a career in AI for healthcare.

You’ll develop programming, problem-solving, and data visualisation and interpretation skills.

You’ll be taught in our new £4.5 million DAIM facility which includes 250 of the highest-spec PCs.

Our state-of-the-art facilities include Viper – the highest-spec computer at any university in the North of England.

Artificial intelligence (AI) and data science are revolutionising healthcare, transforming the way we diagnose, treat, and manage health. Be part of this groundbreaking change.

In today's world, data is incredibly valuable. AI is making a profound impact on healthcare, from enhancing patient care to optimising medical research.

The demand for skilled graduates who understand the full potential of AI in healthcare has never been greater.

Switch careers

with this Masters conversion
Work while you study

With intensive teaching
State-of-the-art-facilities

in our £4.5 million DAIM centre
Get up to £10,000

towards your tuition fees ¹
Graduate at the forefront

of data science

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Course overview

Module options

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!

Data Science, Artificial Intelligence and Modelling (DAIM) building

Computer Science, Robotics & AI - Computer Science

Choose your modules

For a full Masters degree, you'll study 180 credits over the duration of your course. Some programmes offer a Postgraduate Diploma (PGDip) qualification or a Postgraduate Certificate (PGCert) qualification. For a PGDip, you'll study 120 credits, and for a PGCert, you'll study 60 credits.

Programming for AI and Data Science

Learn the fundamentals of Python coding so you can progress onto the rest of the course.

Assessment: Portfolio of work

Core•20 credits

Fundamentals of Data Science

An introduction to the principles of data science and data analysis. Topics include:

Data Science Context: Datafication of society and the history of data science.
Properties and types of data (e.g., quantitative and categorical data)
Classification and regression, introduction to Kaggle and other sources of data
Data Management: Data collection and techniques; Cleaning of data and processing; Data errors and artefacts; missing data
Introductory statistical approaches to data: Basic mathematical concepts; Introduction to probabilities; Descriptive statistics (e.g., centrality measures) and characterizing distributions; Correlations; Statistical hypothesis testing
Data analysis and visualization: Types of visualization and interpretation; Identifying outliers; Regression models
Applications: Real-world data applications, including examples

This module is assessed by a presentation and project report.

Core•20 credits

Understanding Artificial Intelligence

An introduction to the fundamental concepts in Artificial Intelligence, and their application. Topics include:

Origins of AI: What is AI? From early history to the Dartmouth conference and the present day; Intelligent agents, and performance measures
Learning, Frameworks and Packages: Introduction to supervised learning; Regression; Classification; Clustering; Artificial Neural Networks; Convolutional Neural Networks; Keras; Tensorflow
Implications for Society: Legalities; Ethics and professional implications; Social consequences

This module is assessed by a portfolio of work, in the form of a programmed code and a corresponding technical report.

Core•20 credits

Applied AI in Healthcare

This module presents advanced knowledge of AI, focusing specifically on its applications in healthcare, including advanced deep learning techniques. By using programming skills and applying understanding to tackle real-world healthcare challenges, this is an ideal course to make a significant impact in medical and healthcare AI.

Core•20 credits

Medical Imaging and Artificial Intelligence

In this module you will understand the role of medical imaging processing and analysis, and a multitude of Medical Imaging modalities. You will also understand some practical applications of ultrasound, CT, MRI, molecular imaging, and microscopy imaging. You will gain knowledge of medical imaging processing techniques.

Core•20 credits

Research and Application in Artificial Intelligence and Data Science

The module contains two themes that are strongly interrelated to each other:

The first theme offers options to study how AI and Data Science apply to real-world contexts. Options could include sustainability, healthcare, social responsibility, the creative industries, and the natural environment.

Alongside the first theme, you’ll develop your own research proposal to tackle a genuine research project. You’ll draw from the experiences in the options to identify questions and limitations associated with your proposed research. This will prepare you for your dissertation in Trimester 3.

Core•20 credits

Artificial Intelligence and Data Science Research Project

Plan and work independently on your own complex research-based problem. And report on the aims, methods and outcomes of your scientific investigation.

Core•60 credits

7 Modules

Our academics

You’ll be taught in DAIM – a centre of excellence created for this course, drawing on expertise from across the whole University.

Our course is taught by experts in Artificial Intelligence and data science with backgrounds in the NHS or the Hull York Medical School, as well as highly-cited researchers and brilliant teachers with fellowships of Advanced HE. You'll experience hands-on learning in our 4.5million GBP teaching facility.

See more academics for this subject

Featured academic

Dr Kevin Pimbblet

Kevin is an experienced British-Australian observational astronomer and the Director of DAIM. His research covers modern astrophysical topics and issues in areas including cosmology, extra-galactic astronomy and large-scale structure of the Universe.

Featured academic

Dr Will Jones

Will Jones is the DAIM Director of Research who has a background in the NHS and applying AI solutions to all manner of research problems.

Entry requirements

UK
International

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’re an undergraduate student at Hull, you’re guaranteed a fast-track route to this postgraduate degree, as long as you meet the entry requirements.

In order to ensure our students have a rich learning and student experience, most of our programmes have a mix of domestic and international students. We reserve the right to close applications early to either group if application volumes suggest that this blend cannot be achieved.

What do I need?

Typical offer

2:2 in relevant subject area

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.

Fees & funding

UK
International

How much is it?

Additional costs you may have to pay

Your tuition fees will cover most costs associated with your programme. There are some extra costs that you might have to pay, or choose to pay, depending on your programme of study and the decisions you make:

Books (you can borrow books on your reading lists from the library, but you may buy your own)
Optional field trips
Study abroad (incl. travel costs, accommodation, visas, immunisation)
Placement costs (incl. travel costs and accommodation)
Student visas (international students)
Laptop (you’ll have access to laptops and computers on campus, but you may want your own)
Printing and photocopying
Professional-body membership
Graduation (gown hire and photography)

Remember, you’ll still need to take into account your living costs. This could include accommodation, travel, food and more.

How do I pay for it?

How much is it?

Additional costs you may have to pay

Books (you can borrow books on your reading lists from the library, but you may buy your own)
Optional field trips
Study abroad (incl. travel costs, accommodation, visas, immunisation)
Placement costs (incl. travel costs and accommodation)
Student visas (international students)
Laptop (you’ll have access to laptops and computers on campus, but you may want your own)
Printing and photocopying
Professional-body membership
Graduation (gown hire and photography)

Remember, you’ll still need to take into account your living costs. This could include accommodation, travel, food and more.

How do I pay for it?

Take a look at our facilities

DAIM

You’ll find 250 of the highest-spec PCs in this new, state-of-the-art facility where you’ll learn, practice and apply your coding, programming, AI and data science skills.

Supercomputing

You’ll have access to Viper – the highest-spec computer at any university in the North of England.

Superlab

Fully refurbished as part of a significant investment in high-performance workstations, servers and social spaces, our Superlab is also open to students outside of teaching hours.

Brynmor Jones Library

Our seven-storey library is a superb learning space. As well as more than a million books, there’s a variety of study areas, over 400 open-access PCs and one amazing view.

See more in our virtual tour

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.

Your next steps

Like what you’ve seen? Then it’s time to apply.

Make your application online now, and our admissions team will get back to you as soon as possible to make you an offer.

How to apply

Not ready to apply?

We regularly deliver virtual and on-campus events to help you discover your perfect postgraduate course, whether it’s a subject you already love or something completely different. Our events are an opportunity for you to chat to tutors and current students and find out about the career options a postgraduate degree could lead to.

Discover more

Artificial Intelligence for Healthcare

About this course