1 Years On Campus Masters Program
The MSc Artificial Intelligence for Engineering and Design at the University of Bath teaches students how to apply AI, machine learning and data-driven methods to solve complex engineering and design problems. It suits graduates from engineering, architecture or design who want to integrate advanced AI tools into real-world engineering and built-environment solutions.
Curriculum Structure:
Students begin the year with Artificial Intelligence and Machine Learning for Engineering and Design, gaining foundations in supervised learning, neural networks and data processing, alongside Digital Transformation: Project and Change Management, which introduces how AI-driven technologies are implemented in organisations. Later, after completing Professional and Research Skills for Engineering and Design, they choose options such as AI and Sustainable Development, Automation, Manufacturing and Design, Smart Cities and the Internet of Things, or Advanced Numerical Methods, allowing them to specialise in areas like sustainability, automation or city-scale systems. The year concludes with an individual Research Project, where students design and deliver an AI-based engineering or design solution.
Focus areas: “AI for Engineering, Machine Learning, Automation, Sustainable Design, Smart Cities, IoT”
Learning outcomes: “Apply AI to engineering and design tasks; process and model data; develop AI-driven engineering solutions; understand sustainability and project-management aspects; conduct independent research.”
Professional alignment (accreditation): Designed to meet industry demand for engineers and designers capable of integrating AI into manufacturing, automation, infrastructure and built-environment systems.
Reputation (employability rankings): The University of Bath is consistently ranked among the top UK institutions for engineering and design, supporting strong employability for graduates of this specialised AI programme.
Students gain practical skills by applying AI and machine learning to engineering and design challenges, using the University's high-performance computing resources and specialist engineering software. This applied learning is central to the curriculum:
Software: Training in Python with key AI libraries (TensorFlow, PyTorch) and engineering tools.
Computing Facilities: Access to the University's High-Performance Computing (HPC) resources.
Engineering Projects: Hands-on application of AI to design optimization and engineering systems.
Research Project: An individual dissertation in AI for engineering applications.
Industry Context: Curriculum developed with engineering industry needs in focus.
Interdisciplinary Focus: Combines AI with mechanical and design engineering principles.
Graduates of University of Bath's MSc Artificial Intelligence for Engineering and Design develop skills in AI, machine learning, data science, and robotics to solve complex engineering challenges across industries. The program combines theoretical knowledge with practical project experience focused on sustainability and ethical AI applications. Typical job roles: AI specialist, machine learning engineer, data scientist, research analyst.
University services: Careers service offers work placement, CV workshops, interview practice, and industry networking opportunities.
Employment stats/salary: Ranked 8th in UK Computer Science; strong graduate employability and competitive salaries.
University–industry partnerships: Projects with engineering firms and tech companies integrating AI into real-world solutions.
Long-term accreditation value: Recognized for blending AI with engineering, sustainability, and design for future-ready skills.
Graduation outcomes: Roles in tech, engineering, research contributing to AI-driven innovation worldwide.
Further Academic Progression: Pursue PhD in AI engineering or design at Bath, extending MSc project research.



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