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Robotics Engineering at Queen Mary University of London - UCAS

Course summary

Get hands-on experience of how of robots are designed and built, and how they are applied in sectors as varied as manufacturing, aerospace and healthcare. Our robotics programme combines computer science, mechanical and electronic engineering to teach you how to develop, manufacture, analyse and deploy robotic, mechatronic and artificial intelligence systems. It is taught by Queen Mary’s Schools of Engineering and Materials Science and Electronic Engineering and Computer Science, and supported by world-leading experts from the Centre for Advanced Robotics at Queen Mary. During the first year, you will learn fundamentals in robotics and mechatronics, engineering mechanics and design, computation and programming and electrical and electronic systems. You will gain substantial knowledge on robotics and automation, their applications and mechatronic components. You will have fundamental skills and expertise in statics, dynamics, computer programming and analysis of electrical systems. In Year 2, you’ll be taught specialised modules around robot kinematics, mechatronic systems, sensing and actuation, control and systems engineering, rapid prototyping and robot design, microcontrollers and advanced computer programming. You’ll also learn theory and practice in computer-aided design, programming and control for robotic, mechatronic and general electro-mechanical systems. Year 3 modules will introduce robot dynamics and advanced control, modern programming and modelling methods for robotic and autonomous systems, fundamentals of artificial intelligence and human-robot interaction. A design project will provide an opportunity to apply your knowledge and skills to exciting research applications, working with academics from the Centre for Advanced Robotics at Queen Mary and other world-leading research groups. By the end of your third year, you’ll have become an expert in robotics and mechatronics with a unique combination of highly demanded skills from mechatronics, electronics, computer science and artificial intelligence. If you choose the MEng option, you’ll also be taught courses on specialised and advanced robotics topics including cognitive robotics, biomedical applications of robotics, computer vision, machine learning, real-time control. We've recently undertaken a review of our programmes to ensure that they will prepare you for life beyond 2030 and ensure they reflect the global challenges facing both our society and your future as engineers. We have developed the modules we offer in consultation with our students, staff and industry to enhance your student experience and graduate employability. We have mapped the modules in our programmes to a range of attributes that we would like our students to attain, within the areas of creativity, resilience, communication and professional practice in order to produce well-rounded, interested and highly employable graduates. This not only ensures that students develop the required technical knowledge and understanding as they progress through their degree, but also gives us the confidence that students will graduate with skills they can apply to a range of future careers or higher-level study.

Modules

Year 1 Engineering Design Experimental Design and Practice 1 Computational and Mathematical Modelling 1 Procedural Programming Exploring Engineering Experimental Design and Practice 2 Computational and Mathematical Modelling 2 Analogue Electronic Systems Skills for Engineers Please note that all modules are subject to change.

Assessment method

Assessment typically includes a combination of coursework, written reports, projects, presentations, group work and exams at the end of each semester.


How to apply

Application codes

Course code:
H67B
Institution code:
Q50
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

Additional entry requirements

Other

This programme requires ATAS clearance. Students who are not EEA or Swiss nationals may require ATAS clearance to undertake this course. The CAH3 code for this course is CAH10-01-02. Further information on ATAS can be found on our Advice and Counselling webpages: https://www.welfare.qmul.ac.uk/guides/academic-technology-approval-scheme-atas/


English language requirements

All applicants to QMUL must show they meet a minimum academic English language standard for admission and to be successful on the course. Please refer to the website below for details on our English Language requirements by course and acceptable alternative qualifications. You will also find important information regarding UKVI's English requirements if you are applying as an international student who will require Tier 4 immigration permission to enter the UK.

Queen Mary University of London: English Language Requirements

http://www.qmul.ac.uk/international/englishlanguagerequirements/index.html#


Student Outcomes

Operated by the Office for Students
62%
Employment after 15 months (Most common jobs)
86%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

England £9250* Year 1
Northern Ireland £9250* Year 1
Scotland £9250* Year 1
Wales £9250* Year 1

*This is a provisional fee and subject to change.

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Our most recent information regarding tuition fees can be found at http://www.qmul.ac.uk/tuitionfees/
Robotics Engineering at Queen Mary University of London - UCAS