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MSc Intelligent Robotics

Push the boundaries of the intelligent robotics discipline, bit by bit.

Year of entry: 2024 (September)


1 year full-time

Start date

September 2024 (semester dates)

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Robots are on the rise. They're present in many areas of everyday life including autonomous transportation, farm machinery, medical and environmental applications and logistics. 

Developing robots that are capable of adapting and learning from experience is a significant driver in the robotics industry and is at the cutting edge of research development. This course will provide you with the tools and skills necessary to become a leader in these expanding areas. 

We'll prepare you for employment in the robotics and autonomous systems field as well as related industries, and equip you with the knowledge required to pursue further research into intelligent robotics.


Accredited by the Institute of Engineering and Technology (IET) under licence from the UK regulator, the Engineering Council. Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.

The subject has challenging courses for every student, which means a fulfilling learning experience The feedback of each course assignment is detailed and responsible, the clear evaluation of strengths and weaknesses makes it a great opportunity to improve your abilities.
Han, MSc Intelligent Robotics

Course content

We place a strong focus on practical implementation, both in hardware and simulation. Your course will culminate in a team project focused on producing a communicating team of autonomous robots that range from ground robots to flying robots, to complete a challenging task together. You will work in a fully-equipped workshop and a state of the art, dedicated robotics laboratory.

Through lectures and hands-on experience, you'll learn about the development of mechanisms, control systems, algorithms that can learn and adapt, and swarm systems (multiple robots working together). You'll get to experience the liveliness of this exciting field first hand.


Core modules

Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.

Research project

This project will immerse you in a life like scenario: a group of engineers developing a large scale multi-robot system. As a group you will design, construct and implement the control of a robotic system. You'll gain practical experience of project management and team skills. The system you design will include both software (such as individual and collective robotic control, and low-level embedded programming) and hardware (such as 3D printed and laser cut parts, and off-the-shelf robot components). The project will produce a multiple-robot system that will be tested and evaluated on a challenging task requiring autonomous robotic control and coordination in the robotics laboratory.

For the project you will typically be working in a group of four to six students. You'll be assigned a target system to design, be given a budget, and then prepare the design presentation that your group will follow. Working together, you'll develop detailed system specifications and establish initial prototypes.

Throughout the project you'll be able to make full use of the Robotics Laboratory and you'll spend the vast majority of your time working on robotic systems, attempting to develop an innovative solution to the problem given. Full technical support is available in the laboratory.

The final presentation of your group will take place in September, where you'll provide physical demos of your system. Your group will also produce a presentation on the work to which everyone will have contributed. Finally, you will submit group documentation along with an individual report.

The York approach

Every course at York is built on a distinctive set of learning outcomes. These will give you a clear understanding of what you will be able to accomplish at the end of the course and help you explain what you can offer employers. Our academics identify the knowledge, skills, and experiences you'll need upon graduation and then design the course to get you there.

Students who complete this course will be able to:

  • Subject Knowledge: Conduct research and development in intelligent robotics design, theory and practice to advance the state of knowledge in intelligent robotics.
  • Engineering Analysis: Extract and critically evaluate literature and other data about complex robotic systems from simulations and hardware deployment using analytical, statistical, and computational methods.
  • Engineering Design: Create innovative and optimised designs to address intelligent robotics research problems involving hardware and/or software by synthesising novel ideas into practical solutions.
  • Practical Skills: Apply professional skills of programming, control and design to independently address challenging research-based problems of intelligent robotic systems.
  • Technical Communication: Communicate, debate, and contextualise information in a succinct and technically accurate manner for engineers and non-technical audiences, and to write and interpret technical documentation.
  • Management & Personal Development: Proficiently manage themselves, teams and complex projects in preparation for technical careers as leaders in intelligent robotics.

Fees and funding

Annual tuition fees for 2024/25

Study modeUK (home)International and EU
Full-time (1 year) £12,480£29,400

Students on a Student Visa are not currently permitted to study part-time at York.

Fees information

UK (home) or international fees? The level of fee that you will be asked to pay depends on whether you're classed as a UK (home) or international student. Check your fee status.

Find out more information about tuition fees and how to pay them.

Additional costs

All course text books and materials are available in the library or via the VLE. Depending on how you work, you may wish to pay for printing of notes and other material.

Funding information

Discover your funding options to help with tuition fees and living costs.

We'll confirm more funding opportunities for students joining us in 2024/25 throughout the year.

If you've successfully completed an undergraduate degree at York you could be eligible for a 10% Masters fee discount.

Funding opportunities

If available, subject-specific scholarship opportunities for our taught MSc courses will be advertised on the School funding information page.

Living costs

You can use our living costs guide to help plan your budget. It covers additional costs that are not included in your tuition fee such as expenses for accommodation and study materials.

I have just finished building and programming my little robot, it was amazing and very exciting to see that what you program and design can become a reality. I feel that I have learned more here in a couple of months than I have before in a year and because of this reason I am very happy. Just take into account that this academic adventure is challenging, but trust me, you will learn.
Alan, MSc Intelligent Robotics

Teaching and assessment

You’ll work with world‐leading academics who’ll challenge you to think independently and excel in all that you do. Our approach to teaching will provide you with the knowledge, opportunities, and support you need to grow and succeed in a global workplace.

Teaching format

You'll be taught through a mixture of lectures, seminars, practicals and workshops. 


You will have access to a dedicated area in the 4th floor of the School of Physics, Engineering and Technology building equipped with modern electronics bench equipment and various fabrication tools, and also the purpose-built York Robotics Laboratory on Campus East. This will provide you with a space to programme, design, fabricate, assemble, and test your designs.

Teaching location

The School of Physics, Engineering and Technology is based on Campus West. The majority of teaching takes place within Campus West, and some practical work takes place in the York Robotics Laboratory located on Campus East.


About our campus

Our beautiful green campus offers a student-friendly setting in which to live and study, within easy reach of the action in the city centre. It's easy to get around campus - everything is within walking or pedalling distance, or you can always use the fast and frequent bus service.

Assessment and feedback

You will be assessed via a combination of exams, coursework, presentations, demonstrations and reports.

Careers and skills

This course will prepare you for employment in robotic and autonomous systems related industries or to pursue further research into intelligent robotics. After graduating from this MSc, you will be significantly more attractive to a wider range of employers due to a more comprehensive portfolio, experience from running and managing a team project, and system integration skills.

Career opportunities

  • Software engineer
  • Hardware engineer
  • User experience (UX) designer
  • Data scientist
  • Machine learning engineer
  • Algorithm engineer
  • Roboticist

Transferable skills

  • Problem solving
  • Designing innovative solutions
  • Communication
  • Teamwork
  • Management
  • Research 
  • Digital literacy
  • Project management
  • Presenting

Entry requirements

Typical offer
Undergraduate degree 2:2 or equivalent in Computer Science, Computer Science/Mathematics joint honours, Electronic Engineering, Mechanical Engineering or a related subject. We are willing to consider applications from students with lower qualifications, particularly if you have high marks in relevant modules or appropriate industrial experience.
International pre-masters programme Pre-masters from our International Pathway College
Other international qualifications Equivalent qualifications from your country

English language

If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:

Minimum requirement
IELTS (Academic and Indicator) 6.0, minimum 5.5 in each component
Cambridge CEFR B2 First: 169, with no less than 162 in each component
Oxford ELLT 6, minimum of 5 in each component
Duolingo 105, minimum 95 in all other components
LanguageCert SELT B2 with 33/50 in each component
LanguageCert Academic 65 with a minimum of 60 in each component
KITE 426-458, with 396-425 in all other components
Skills for English B2: Pass with Merit overall, with Pass in each component
PTE Academic 55, minimum 51 in each component
TOEFL 79, minimum 17 in Listening, 18 in Reading, 20 in Speaking and 17 in Writing
Trinity ISE III Pass in all components

For more information see our postgraduate English language requirements.

If you haven't met our English language requirements

You may be eligible for one of our pre-sessional English language courses. These courses will provide you with the level of English needed to meet the conditions of your offer.

The length of course you need to take depends on your current English language test scores and how much you need to improve to reach our English language requirements.

After you've accepted your offer to study at York, we'll confirm which pre-sessional course you should apply to via You@York.


You can apply and send all your documentation online. You don’t need to complete your application all at once: you can start it, save it and finish it later.

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Liz Richardson and Helen Smith (Enquiries)
Dr Mark Post

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School of Physics, Engineering and Technology

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