Artificial intelligence (AI) is reshaping the engineering landscape, driving innovation across industries and redefining how we design, build, and maintain complex systems. Join the forefront of this technological revolution.
In today's engineering world, AI is a game-changer, enabling smarter designs, more efficient processes, and predictive maintenance. It is transforming everything from product development to infrastructure management, pushing the boundaries of what is possible.
The need for engineers equipped with AI expertise has never been more critical. Be part of the next generation of professionals leading this evolution in engineering.
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.
Engineering is being increasingly married up with data analytics and driven by artificial intelligence. In this MSc, you will learn how to enhance the command and control of engineering systems in order to optimize them and be a part of the fourth industrial revolution. Understanding how to analyse, validate and interpret data to inform decision-making are key skills in just about every walk of life. Nationally, there is a widely recognised shortage of qualified Artificial Intelligence (AI) and data scientists to meet the needs of industry. This course will equip you with the skills and professional insight needed to launch a career in this fast-growing sector.
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 engineering variant will include bespoke modules covering deep reinforcement learning, data-driven control with real-world engineering challenges and numerical methods for engineering.
In the third semester, you will have the opportunity to choose or design your own research project in a disciplinary area which may relate to your background or career goals. Alternatively, there may also be opportunity to undertake a project working with an industry partner.
MSc AI and Data Science overview
1 min
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.
0 filters selected
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
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-Driven Optimisation and Control
This module gives students a range of practical artificial intelligence applications in engineering. You will learn about utilising neural networks for airplane control, automatic driving, and ship control, alongside general AI-driven control methods across a wide spectrum of engineering fields.
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
Numerical Methods for Engineering
This module provides a practical introduction to scientific computing and provides a bridge between mechanistic modelling and machine learning. You will learn numerical methods relating to linear algebraic equations, eigenvalue problems, non-linear algebraic equations, interpolation, calculus, and differential equations. These methods are commonly used in engineering. They are necessary for generating data from mechanistic models to train and test machine learning models, By the end of the module, you will be in a good position to work in a field that uses AI extensively.
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 electrical engineering, mathematical modelling, scientific computing and more, 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.
Zekun Guo
Lecturer in Electrical Engineering, Postgraduate Research Director for DAIM
Dr. Zekun Guo, is a Lecturer and Postgraduate Research Director at the Centre of Excellence for Data Science, Artificial Intelligence, and Modelling (DAIM) at the University of Hull.
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 a numerical STEM subject (e.g. Physics, Mathematics, Engineering, Chemistry) due to the advanced mathematics taught in this course.
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 academic achievement and/or to help those on lower incomes.
Scholarships and bursaries are separate to student loans. And the best bit is, you don’t pay a penny back.
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 growing demand for skilled professionals who can apply AI in engineering, making your expertise highly valuable to employers. You'll be in high demand.
Upon graduation, you'll possess the skills to leverage AI and data science techniques to tackle real-world engineering challenges. You’ll also gain the ability to critically evaluate AI and data science methodologies, design and conduct empirical research, and effectively interpret, present, and communicate AI-driven solutions. This expertise can open doors to advanced careers such as Engineer, Control Engineer, Internet of Things Engineer, Data Scientist, or Data Analyst across various engineering industries.
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.