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.
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!
Module options
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.
Filters
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 Artificial Intelligence
The module will build on the concepts introduced in the first AI module, and prepare you for your dissertation. Topics include classification revisited, deep learning, applications to problems, cognitive bias, and implications for equality.
Assessment: Presentation and project report
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
59 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
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.
Kevin Pimbblet
Director of DAIM; Professor
Kevin is an experienced British-Australian observational astronomer and applied data scientist, having worked in multiple research intensive institutions across two continents. His core research interests cover a number of astrophysical topics.
Will Jones
Lecturer & Director of Research
Will is Director of Research for the Centre of Excellence for Data Science, AI, and Modelling. Will also holds an Honorary Contract with Hull University Teaching Hospitals (HUTH), NHS, as a Researcher in Medical Oncology.
Entry Requirements
What do I need?
When it comes to applying for this Postgraduate Taught degree, you'll need an Undergraduate degree (or equivalent). For this course, you'll need a 2:2 from a relevant bachelor's degree.
The programme is designed for graduates who have a studied a subject that is relevant to this course.
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.
Typical offer
2:2 in a 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.
Fees & Funding
How much is it?
Scholarships
We offer a number of awards, bursaries and scholarships for eligible students. They’re awarded for a variety of reasons including academicScholarships and bursaries are separate to student loans.
And the best bit is, you don’t pay a penny back. achievement and/or to help those on lower incomes.
Alumni Postgraduate Scholarship
University of Hull undergraduates progressing to a taught masters course may receive a 20% discount on the cost of their tuition fees.
Find out if you’re eligible by visiting the University of Hull Alumni Postgraduate Scholarship page.
See more Scholarships
We offer a range of scholarships and awards to students at the university to help with their financial load.
To view all of our scholarships and determine whether you're eligible, please visit our Scholarships and Awards page.
Artificial Intelligence Facilities
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.
Take your career to the next level
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.
Not ready to apply yet?
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.