Robotics and AI MSc
The Robotics and AI MSc integrates AI, engineering and computer science, providing you with specialised knowledge and skills. This course will prepare you for a career in various fields such as robotics, artificial intelligence, technology and engineering.
You are currently viewing course information for entry year:
Start date(s):
- September 2025
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.
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.
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
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
All professional accreditations are reviewed regularly by their professional body
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
Fees and funding
Tuition fees for 2025 entry (per year)
As a general principle, you should expect the tuition fee to increase in each subsequent academic year of your course, subject to government regulations on fee increases and in line with inflation.
Depending on your residency history, if you’re a student from the EU, other EEA or a Swiss national, with settled or pre-settled status under the EU Settlement Scheme, you’ll normally pay the ‘Home’ tuition fee rate and may be eligible for Student Finance England support.
EU students without settled or pre-settled status will normally be charged fees at the ‘International’ rate and will not be eligible for Student Finance England support. You will be eligible for a scholarship worth 15% off the international fee.
If you are unsure of your fee status, check out the latest guidance here.
Scholarships
We support our EU and international students by providing a generous range of Vice-Chancellor's automatic and merit-based scholarships. See our searchable postgraduate funding page for more information.
What you're paying for
Tuition fees include the costs of:
- matriculation
- registration
- tuition (or supervision)
- library access
- examination
- re-examination
- graduation
Find out more about:
If you are an international student or a student from the EU, EEA or Switzerland and you need a visa to study in the UK, you may have to pay a deposit.
You can check this in the How to apply section.
If you're applying for funding, always check the funding application deadline. This deadline may be earlier than the application deadline for your course.
For some funding schemes, you need to have received an offer of a place on a course before you can apply for the funding.
Search for funding
Find funding available for your course
Entry requirements
The entrance requirements below apply to 2025 entry.
Qualifications from outside the UK
English Language requirements
Admissions policy
This policy applies to all undergraduate and postgraduate admissions at Newcastle University. It is intended to provide information about our admissions policies and procedures to applicants and potential applicants, to their advisors and family members, and to staff of the University.
University Admissions Policy and related policies and procedures
Credit transfer and Recognition of Prior Learning
Recognition of Prior Learning (RPL) can allow you to convert existing relevant university-level knowledge, skills and experience into credits towards a qualification. Find out more about the RPL policy which may apply to this course
How to apply
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School Admissions Team
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