Artificial Intelligence for Engineering

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 Engineering

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

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.

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 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.

Career

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.