MSc Engineering with Artificial Intelligence
- MSc
Overview
The integration of AI-driven technologies into traditional engineering sectors presents challenges, particularly in recruiting engineers with both sector specific and AI knowledge.
The MSc in Engineering with Artificial Intelligence (AI) is a one-year full-time postgraduate taught programme, designed to equip students from traditional engineering backgrounds with the skills and knowledge to apply artificial intelligence in their engineering disciplines.
You will finish your study with multi-disciplinary research project in one of a wide range of application areas and will enrol in three core units covering the foundations and applications of AI. The foundation units will teach students the needed programming skills, introduction to machine learning models and the use of industry standard AI infrastructure.
In addition, students will complete 3 specialised units focusing on different aspects of AI in Engineering, covering AI usage in engineering applications, AI technologies commonly used in Engineering and the impact of AI on society. The capstone is an individual or industry-directed group project aligned to the students' chosen engineering discipline.
The programme will be delivered using a combination of lectures, tutorials, practical sessions, and independent and group research. The mode of delivery will be on-campus. Units will be assessed using a combination of written exams, coursework assignments, and the final project. A distinguishing feature of the programme is an emphasis on the link between traditional engineering disciplines and the emerging field of artificial intelligence.
The programme is designed to address real-world challenges while equipping you with practical AI skills, enabling graduates to continue working in their core engineering disciplines with enhanced expertise in AI.
Programme structure
Teaching Block 1 (TB1)
Teaching Block 1 (TB1) focuses, shared with MSc in Artificial Intelligence, on basic knowledge in programming, statistics, AI and cloud computing.
In TB1, You will take either a unit in Software Development: Programming and Algorithms, or, if you already have software development skills, a unit in Statistical Computing. The remainder of the TB1 consists of the following units:
- Foundations of AI for STEM Students
- Large-Scale Data Engineering
Teaching Block 2 (TB2)
Teaching Block 2 (TB2) moves to focus on AI in Engineering applications.
In TB2, you will take the following mandatory units:
- Introduction to AI Societies, Ethics and Futures
- AI in Engineering Practice
- AI Driven Simulation and Design
Capstone
The programme capstone is an industry-directed group project, that brings together the taught component of this MSc and your discipline-specific engineering knowledge.
Entry requirements
You will typically need an upper second-class honours degree or an international equivalent in an Engineering, Mathematics, Physics, Computing Including Computer Science, Data Science.
We will consider your application if your interim grades are currently slightly lower than the programme's entry requirements and may make you an aspirational offer. This offer would be at the standard level, so you would need to achieve the standard entry requirements by the end of your degree.
We will also consider your application if your final overall achieved grade is slightly lower than the programme's entry requirement.
If your achieved grade is lower than our entry requirements, your application may be more likely to receive an offer if you have additional relevant work experience or qualifications. If you have at least one of the following, please include your CV (curriculum vitae / résumé) when you apply, showing:
- evidence of relevant work experience (minimum of three years).
- a relevant postgraduate qualification.
See international equivalent qualifications on the International Office website.
If English is not your first language, you will need to reach the requirements outlined in our profile level C.
Further information about English language requirements and profile levels.
Fees and funding
- Home: full-time
- £18,400 per year
- Overseas: full-time
- £34,000 per year
Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to an 8% increase in fees each year.
More about tuition fees, living costs and financial support.
Alumni discount
University of Bristol students and graduates can benefit from a 25% reduction in tuition fees for postgraduate study. Check your eligibility for an alumni discount.
Funding and scholarships
Exceptional students are eligible for The Spärck AI Scholarships, which will provide full funding for master's degrees in AI and STEM subjects. Read more about opportunities for future AI tech pioneers.
Further information on funding for prospective UK and international postgraduate students.
Career prospects
The Master of Science in Engineering with Artificial Intelligence is a cutting-edge programme designed to equip students with the skills to revolutionise engineering through AI. By integrating advanced engineering with AI technologies, students explore AI applications in fields like Design and Simulation, Robotics, Materials and Manufacturing, and Infrastructure.
The programme emphasises innovation, problem-solving, and real-world application, enabling graduates to tackle complex challenges in industries such as aerospace, energy, robotics, and smart cities. This interdisciplinary degree prepares students for technical and leadership roles, driving the future of engineering in a rapidly evolving, tech-driven world.
Contact us
- Contact
- Enquiries Team
- Phone
- +44 (0) 117 394 1649
- choosebristol-pg@bristol.ac.uk