University of Birmingham - College of Engineering and Physical Sciences
MSc RoboticsBirmingham, United Kingdom
DURATION
2 years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
29 Aug 2025
EARLIEST START DATE
Sep 2025
TUITION FEES
GBP 11,740 / per year *
STUDY FORMAT
On-Campus
* for UK students| £33,500 for international students
Key Summary
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Introduction
Specialise in robotics with our MSc course and you'll have the expertise and skills for a rapidly growing industry.
Whether you have a computing, engineering or mathematical background, with our course you'll be able to study robotics to an advanced level. Explore how to design and build robotic platforms as well as how to use software and AI to control them. The rapid growth of robot systems in industry, commercial and domestic settings means you'll be well placed for a world of career opportunities.
You’ll learn topics such as intelligent automation, mechatronic and embedded systems, and robot vision. Thanks to a broad programme, you'll develop a well-rounded skillset. You’ll be able to understand the behaviour of the software, sensing and articulation elements of the system, and to optimise performance.
- Receive teaching from experts from both the School of Engineering and School of Computer Science.
- Our specialist lab facilities will support your learning in all aspects of your programme.
- Explore market trends from long-standing research relationships in key industrial sectors.
Admissions
Scholarships and Funding
To help you afford your studies, we’ve put more than £33 million into student support and scholarships. We also offer a range of advice on searching for funding and managing your finances.
Curriculum
This course comprises 180 credits. In your first two terms you'll study the core compulsory modules (60 credits) and select from a wide range of optional modules (60 credits). Once your taught modules are completed, you'll work on a research project (60 credits) over the summer period.
The modules listed below are an indication only and may be subject to change. Occasionally, it may be necessary to make changes to modules, for example, to ensure they remain current and relevant.
Core modules
Module Title
- Advanced Project
- Intelligent Robotics (Extended)
- Research and Professional Skills
- Robot Motion Planning and Control
Optional modules
Select 60 credits, examples of options:
Module Title
- Applied Robotics
- Computer Vision and Imaging (Extended)
- Industrial Automation and Robotics
- Integrated Design Project 3 (MEng)
- Intelligent Automation
- Machine Learning
- Mechatronic Design and Embedded systems
- Robot Vision
Program Tuition Fee
Career Opportunities
Through the course, you will become a specialist in robotics, and our graduates are well-equipped for hardware and software development roles in the field. The School of Engineering has strong industry links and regularly works with companies in sectors including automotive, manufacturing, and aerospace.
University Careers Network
Preparation for your career should be one of the first things you think about as you start university. Whether you have a clear idea of where your future aspirations lie or want to consider the broad range of opportunities available once you have a Birmingham degree, our Careers Network can help you achieve your goal.
Our unique careers guidance service is tailored to your academic subject area, offering a specialized team (in each of the five academic colleges) who can give you expert advice. Our team sources exclusive work experience opportunities to help you stand out amongst the competition, with mentoring, global internships, and placements available to you. Once you have a career in your sights, one-to-one support with CVs and job applications will help give you the edge.
Program delivery
Teaching is led by our world-leading academic staff which is delivered in partnership by the Schools of Engineering and Computer Science. It includes modules covering automation and systems, laboratory work, or insightful tutorials with industry experts.
- You will be taught by staff who are experts in their research fields with extensive industrial connections.
- Small-group and personal tutorials to consolidate lecture material and test your understanding.
- Laboratory-based work is an integral part of the course. This is vital not only to develop your experimental practical skills, but also to reinforce concepts introduced in lectures.
Experience our multi-million-pound facilities featuring dedicated laboratories for Computer Science students and research labs for Security, Medical Imaging, Intelligent Robotics, and Computer Vision.