Robotics

Course detail Description

The Robotics MSc allows you to gain specialist knowledge relating to robotics and automation applications by examining the integration of mechanical devices, sensors, electronics and ‘intelligent’ computer-based controllers. You will also explore the latest developments in robotics while completing research and development work for your individual research project.

You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from an individual project. You will study Robotic Systems, Computer Vision, Sensors and Actuators, Real-time Systems and Control. There are also opportunities to explore a broad range of optional modules allowing you the freedom to develop your study pathway to reflect your interests.

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the course. You will also be expected to undertake a significant amount of independent study.

You are expected to spend approximately 10 hours work per credit for each module you attend in your degree, e.g. 150 hours work for a 15 credit module. These hours cover every aspect of the module.

Assessment methods will depend on the modules selected. The primary methods of assessment for this course are written examinations and coursework. You may also be assessed by practical laboratory examinations, laboratory reports and oral presentations.

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Structure

Year 1

Courses are divided into modules. You will normally take modules totalling 180 credits.

You are required to take:

• Computer Vision (15 credits)*
• Sensors & Actuators (15 credits)*
• Robotic Systems (15 credits)*
• Real Time Systems & Control (15 credits)*
• Individual Project (60 credits)

In addition, you are required to take 60 credits from a range of optional modules, which may typically include:

• Agents & Multi-Agent Systems (15 credits)*
• Fundamentals of Digital Signal Processing (15 credits)
• Nature-Inspired Learning Algorithms (15 credits)*
• Pattern Recognition, Neural Networks and Deep Learning (15 credits)*
• Topics on Data & Signal Analysis (15 credits)
• Artificial Intelligence Planning (15 credits)

You will be able to select up to 30 credits from a range of level 6 modules, which may typically include:

• Optimisation Methods (15 credits)*
• Artificial Intelligence (15 credits)*

* These modules are not available if you have previously studied in the Department of Informatics and have already taken this module at Level 6.

King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest that you keep an eye on the course finder on our website for updates.