Overview
Are you intrigued by the emerging field of AI and intelligent robotics? Do you want to deepen your understanding of how robots can transform industries and solve complex problems?
This master’s programme will focus on developing your knowledge and understanding of specialist topics in robotics and AI and will build your research and knowledge acquisition skills. You’ll have access to specialist software and learn how to use AI that applies to robots and will get the opportunity to build your own.
Robots are invaluable for performing precise, autonomous, and hazardous tasks that may be challenging or risky for humans. They are used to;
- monitor environments and collect data in remote or difficult-to-access-areas
- assist in advanced medical procedures to enhance precision and outcomes
- explore dangerous or inaccessible locations in emergencies
- automate tasks in agriculture, industry, and research for increased efficiency
You’ll enter the industry with expertise in engineering, AI and computer science. You will have the skills to develop, monitor, manage and improve robotics and AI.
Important information
We’ve highlighted important information about your course. Please take note of any deadlines.
Your course and study experience – disclaimers and terms and conditions
Please rest assured we make all reasonable efforts to provide you with the programmes, services and facilities described. However, it may be necessary to make changes due to significant disruption, for example in response to Covid-19.
View our Academic experience page, which gives information about your Newcastle University study experience for the academic year 2024-25.
See our terms and conditions and student complaints information, which gives details of circumstances that may lead to changes to programmes, modules or University services.
What you’ll learn
You’ll develop your knowledge and analytical skills to enable you to:
- use scientific principles in the modelling and analysis of robotic systems and AI development
- select and apply appropriate methods for developing solutions to practical real-world problems
- produce solutions through the application of knowledge and understanding in robotics and AI
- create new designs in AI and robotics through synthesis of ideas from a wide range of sources
- develop ideas and outlooks through the critical appraisal of information from a wide range of sources
Modules
You will study modules on this course. A module is a unit of a course with its own approved aims and outcomes and assessment methods.
Course content changes
Module information is intended to provide an example of what you will study.
Our teaching is informed by research. Course content changes periodically to reflect developments in the discipline, the requirements of external bodies and partners, and student feedback.
Full details of the modules on offer will be published through the Programme Regulations and Specifications ahead of each academic year. This usually happens in May.
To find out more please see our terms and conditions.
Optional modules availability
Some courses have optional modules. Student demand for optional modules may affect availability.
- Research Skills (20 credits)
- Industrial Automation, PLCs and Robotics (20 credits)
- Introduction to Mechatronics Engineering (20 credits)
- Machine Learning for Engineering Applications (20 credits)
- Linear Controller Design (20 credits)
- Applied AI and Robotics (20 credits)
- MSc Individual Project (60 credits)
How you’ll learn
You’ll be taught using a range of methods, including:
- lectures
- tutorials
- coursework
- project work
Depending on your modules, you’ll be assessed through a combination of:
- Dissertation
- Oral examination
- Written examination
Additional assessment information
You will also be assessed via coursework.
Your teaching and learning is also supported by Canvas. Canvas is a Virtual Learning Environment. You’ll use Canvas to submit your assignments and access your:
- module handbooks
- course materials
- groups
- course announcements and notifications
- written feedback
Throughout your studies, you’ll have access to support from:
- peers
- academics
- personal tutors
- our University Student Services Team
- student representatives
You’ll also be assigned an academic member of staff. They will be your personal tutor throughout your time with us. They can help with academic and personal issues.
Your development
You’ll develop skills in:
- analytics
- problem solving
- research
- communication
You will also:
- use industry standard test and measurement equipment
- use industry standard robotics and AI software packages
- plan, execute and report on a research project
- design solutions to systems or components in selected areas of robotics and AI
Your future
The course prepares you for a wide range of job roles such as:
- Robotics Engineer
- Production Engineer
- Machine Learning Engineer
- Autonomous Systems Engineer
- Biomedical Engineer
Robots are becoming increasingly prominent across a wide range of sectors, far beyond traditional industries like manufacturing. You could also enjoy a career in sectors such as:
- Engineering
- Healthcare
- Agriculture
- Disaster response
- Autonomous transport
- Security and surveillance
- Exploration
- Retail
Further study
This course provides a route into PhD level study, offering a strong foundation in Robotics and AI. As a graduate of this course, you’ll be prepared for PhD-level study and advanced research opportunities in academia.
Our Careers Service
Our award-winning Careers Service is one of the largest and best in the country, and we have strong links with employers. We provide an extensive range of opportunities to all students through our ncl+ initiative.
Quality and ranking
- 42% of our research is classified as 4* world-leading research – Research Excellence Framework 2021
- 65% increase in research power since 2014 – Research Excellence Framework 2021
- Global Top 130 University – QS World University Rankings 2025
- Global Top 170 University – Times Higher Education World University Rankings 2024
- Top 140 for Engineering and Technology – QS World University Rankings by Subject 2024
- Top 200 for Engineering – Electrical and Electronic – QS World University Rankings by Subject 2024
- Top 200 for Engineering – Mechanical, Aeronautical and Manufacturing – Mechanical – QS World University Rankings by Subject 2024
- Top 25 in the UK and Top 100 in the world for sustainable development – Times Higher Education Impact Rankings 2024
Recognition of professional qualifications outside of the UK
From 1 January 2021 there is an update to the way professional qualifications are recognised by countries outside of the UK
Facilities
Stephenson Building
The Stephenson Building is a £110 million investment in world-class education, research and collaboration across Engineering. It’s a place for future engineers, researchers and designers to collaborate and tackle global challenges, together.
You’ll have access to state-of-the-art equipment and facilities including:
- Robotics Laboratory
- The Makerspace
- Fabrication Facilities
- Electronics Laboratories
Entry requirements
The entrance requirements below apply to 2025 entry.
Academic entry requirements
A 2:2 Honours degree, or international equivalent in:
- mechanical, electrical or related engineering (eg mechatronics or design)
- mathematics, physics or computer science
- any other closely-related discipline
Relevant professional experience is desirable, although not essential.
