Postgraduate Taught

Artificial Intelligence for Engineering

Computer Science, Robotics & AI - Computer Science

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

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) 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.

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

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.

Students in front of the Derwent building on campus

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

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•60 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

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 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.

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

Zekun Guo

Zekun Guo is a lecturer in DAIM with a specialism in electrical engineering.

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 a numerical STEM subject (e.g. Physics, Mathematics, Engineering, Chemistry) due to the advanced mathematics taught in this course.

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

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.

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?

Our 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

Find out more about our scholarships

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.

International Scholarships and Bursaries

We offer a range of scholarships and bursaries for international students.

To find out more and see if you're eligible, please visit the International Scholarships and Bursaries page.

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

Data Science, Artificial Intelligence and Modelling (DAIM) building

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.

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 Engineering

About this course