This is a one year full-time programme. There is a taught core in which you will take three compulsory modules on intelligent mobile robotics, robot dynamics and manipulator control and robot vision. In each you will study robotics to an advanced level.
We teach mobile robotics using the ROS (Robot Operating System) and cover modern probabilistic approaches to mobile robotics, including localisation, navigation, motion planning and map learning. In robot vision you will learn methods for recovery of scene structure, object recognition, appearance based vision tracking, camera calibration, as well as more advanced methods for object categorisation and machine learning in computer vision. In our course on robot manipulation you will be taught the kinematics and dynamics of robot manipulators, and cover current techniques in control of industrial and research manipulators.
You will also work on at least one research project, typically attached to a live externally funded robot research project. Here you will work intensively on a one-to-one basis with one of a faculty member or a member of our research staff to explore a particular topic in great depth – analysing the problem and existing solutions, developing new ideas and building or evaluating prototype systems. Typical projects include robust grasping with dextrous manipulation, recovery of scene geometry, mobile robot task planning, and mobile manipulation.
You will develop your skills in experimental analysis, mathematical foundations of robotics, research skills, software engineering skills and also in presenting and explaining your work clearly and effectively. In addition, you will be able to choose from several optional taught modules drawn from related fields such as neural computation, AI planning or computer vision. All students work on a 4 month summer research project in an area of robotics over the summer, again with expert one-to-one supervision, leading to your Master’s dissertation.
Teaching is by a variety of methods. Typical modules require two lectures per week, plus two to eight hours of supervised labs, supervised problem classes and also one-to-one supervision. There will be some group work as part of the taught modules. You will be expected to attend weekly lab meetings and research seminars as part of the course. There are opportunities for industry-based project work. Perhaps most importantly, you will be part of a small, highly qualified group of students working closely with researchers within the Robotics lab.
Through the course you will become a specialist in robot algorithms and software development. Graduates from this programme will be excellently equipped for software development roles in the robotics industry or research and development roles, or to go on to pursue a research degree in robotics.
More about this programme: http://www.cs.bham.ac.uk/admissions/postgraduate-taught/degree_info/msc-robotics.
School of Computer Science website: www.cs.bham.ac.uk.
Tuition fees for 2013/2014 are as follows:
£5,130 for home/EU students
£16,770 for international students
Most part-time programmes run for two years and their fees are one half of the standard full-time programme fees. A small number of part-time programmes run for three years and in these cases the annual fees are one third of the total full-time cost. Contact us for further information.
UK student visa regulations mean that students classed as overseas for fees purposes may normally only register on a full-time basis.
Further funding information
Standard fees apply, There is an additional £500 bench fee.
Learn more about fees and funding
Scholarships and studentships
For information about scholarships for students on our postgraduate taught programmes visit www.cs.bham.ac.uk/admissions/postgraduate-taught/scholarships.php. International students can often gain funding through overseas research scholarships, Commonwealth scholarships or their home government.
For further information contact the School directly or email email@example.com