MSc Artificial Intelligence for Engineering

This programme focuses on applying AI and machine learning techniques to solve real-world engineering challenges, from automation to intelligent systems design. You will develop practical skills using the University's specialised engineering and computing facilities, including robotics equipment and high-performance computing resources. This hands-on approach is central to the curriculum and delivered through:

• Specialist Engineering and Robotics Labs: You will have access to the University's Robotics Laboratory and Engineering Workshops, equipped with industrial robots, automation systems, and sensor networks for developing and testing AI-driven engineering solutions.

• Industry-Standard AI and Engineering Software: The curriculum involves practical work with machine learning platforms like TensorFlow and PyTorch, alongside engineering simulation tools such as MATLAB/Simulink and computer-aided design (CAD) software.

• Substantial Individual Project: A core component is a significant research project where you will develop and implement an AI system to address a substantial engineering challenge, such as autonomous control or predictive maintenance.

• Practical, System-Focused Modules: Learning is reinforced through project-based coursework that involves programming robotic systems, developing computer vision applications for quality control, and creating AI models for engineering optimisation.

Graduates of the MSc Artificial Intelligence for Engineering at the University of Hull are prepared for critical roles in engineering optimization, command and control of systems, and intelligent automation across sectors like manufacturing, energy, and smart infrastructure. Common job roles include AI Systems Engineer, Data Scientist for Engineering, Process Automation Developer, and Machine Learning Engineer, ready to tackle complex real-world engineering problems with AI tools.​

• The University’s Careers and Employability Service provides sector-focused career coaching, employer networking events, placement support, and links to Hull’s Centre of Excellence for Data Science, Artificial Intelligence and Modelling (DAIM).​

• Hull reports strong graduate outcomes with postgraduate employability typically exceeding 90%, and starting salaries usually range from £27,000 to £45,000 with growth in technology, engineering, and analytics sectors.​

• Students benefit from research and project collaborations through DAIM, as well as placements with regional and national industry partners focused on engineering, smart systems, and industrial digitalization.​

• The program is delivered in a high-tech environment, including supercomputing facilities (Viper) and newly refurbished labs, providing both long-term accreditation value and internationally recognized practical experience.​

• Graduates develop core competencies in programming, deep reinforcement learning, data-driven control, and AI-powered systems optimization for engineering innovation and leadership.​

Further Academic Progression:
After completing this MSc, students may progress to PhD research in Artificial Intelligence, Engineering Systems, Automation, or Machine Learning at Hull or other research-intensive universities. Other options include postdoctoral fellowships, industry R&D roles, or advanced professional certifications for further specialization in digital engineering or computational intelligence.​