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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. 

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Start date(s):

  • September 2025
On campus Postgraduate Open Day. Wednesday 5 February, 12pm to 5pm. Sign up now

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.

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.

How you'll learn

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. 

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Quality and ranking

All professional accreditations are reviewed regularly by their professional body

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)

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:

Search for funding

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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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If you’re ready, you can select Apply Online and you’ll be taken directly to the application portal.

Alternatively you can find out more about applying on our applications and offers pages.


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Questions about this course?

If you have specific questions about this course you can contact:

School of Engineering
School Admissions Team
Email: soe.admissions@ncl.ac.uk

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