Postgraduate Certificate

Postgraduate Diploma

Master of Science

Postgraduate Certificate, Postgraduate Diploma, Master of Science

PSAUSY

Core

Taught Modules - Term 2 

Students take 8 core modules over two terms

Taught Modules - Term 1

Placement Programme

With a Placement

Core Elective

Students who secure an approved internship will be transferred to the 45-credit module EPM467 and will be required to pass the 15-credit INM469 module, instead of enrolling on dissertation module EPM949.

Dissertation

Programme Structure

The MSc in Robotics, AI and Autonomous Systems is designed to provide skills, knowledge and understanding of the current technologies used in the growing industry of Autonomous Systems. This is a rapidly expanding part of the Economy, both in the UK and internationally, with applications (among others) in Transport, Robotics, Healthcare, Defence, Manufacturing, Logistics and Energy. The Programme aims to produce engineering graduates who are well trained in the Theory and Practice of the field and related Technologies and who will be able to contribute to future developments related to the design and deployment of Autonomous Systems. 
The Programme aims to provide knowledge of the fundamental principles related to the design and operation of Autonomous Systems, with emphasis on Autonomous Vehicles and Mobile Robots operating in air, ground and space. Autonomous operation requires advanced levels of Versatility, Adaptability and Machine Intelligence. These characteristics can be achieved by applying the latest advances in AI and Machine Learning, Sensing, Signal Processing, IT, Human-Machine-interaction, Systems Engineering, Dynamics, Optimization, Communication and Control. Implementation of the technologies related to all these disciplines relies on Software and Hardware skills which will be developed via extensive lab work in Programming and Embedded Systems design, Industrial design projects and work on your individual Project/Dissertation on a topic related to Autonomous Systems.
In addition to the technical part of the Programme, you will be introduced to the legal framework and ethical issues arising from Autonomous Systems’ operation via a series of lectures and seminars. The programme is suited for new graduates and professionals who want to advance their understanding of the field and are interested in pursuing a career in one of the emerging application areas related to Systems Autonomy.  
There are 9 Core modules, including dissertation module, of which eight carry 15 credits. There are no elective modules offered in the Programme.
This programme has been developed in accordance with the QAA Subject Benchmark for generic masters&#39; level programmes.

Recognise and take responsibility for developing safe and reliable products and solutions. 

Values and attitudes

Communicate competently the results of analysis and design in scientific reports and oral presentations. 

Skills

Analyse complex data obtained from a variety of sensors and take optimal decisions in real-time by applying intelligent techniques based on Statistics and Machine learning. 

Model the dynamic behaviour of vehicles and mobile robots operating individually or cooperatively and apply feedback control for effective trajectory planning and tracking. 

Knowledge

Develop concepts and evaluate them through suitable hardware and/or software platforms.  

Follow future developments in the field by critically evaluating theoretical research and emerging technologies required for designing Autonomous Systems. 

Appreciate the impacts to society and the ethical issues arising from expanding Autonomous systems applications. 

Apply and critically evaluate advanced software techniques to deal with analysis and design tasks in the general area of Autonomy. 

Propose and formulate advanced techniques and methods applicable to problems related to Autonomous Systems’ design.   

Apply the legal framework of Autonomous Systems operation practically. 

Propose designs of Autonomous Systems based on theoretical and practical components.  

Analyse the performance and limitations of the underlying technologies related to Autonomous Systems. 

Apply analytic and design knowledge creatively and in innovative ways. 

Synthesis of human-machine interaction concepts in the context of Autonomous Systems operation. 

Develop and apply Research Skills and Techniques to further develop knowledge in the field. 

Examine the importance of working with others in promoting an effective and innovative learning environment. 

PSAUSY - Robotics, AI and Autonomous Systems

The teaching and learning strategy is based on lectures, tutorials, laboratory coursework, design projects and seminars. Lectures provide a solid theoretical understanding of relevant technical fields. Seminars will be delivered by Academics and Industrialists with expert knowledge in the field. They focus on specialised topics related to Autonomous Systems, reinforce knowledge obtained from lectures and support project work. Tutorials and labs provide practical training and develop skills in Programming, Embedded Systems Design, Data acquisition and Sensor technologies, Signal Processing, Communication, Optimization and Machine Learning algorithms, Communication and Control. Online resources will be available, including support material for lectures, pointers to relevant literature, technical specification manuals and software code. Moreover, all material will be available in Moodle prior to the lectures. 
You will be expected to use the self-directed study hours to work through the problems discussed in the tutorials. In addition, you should also try and learn the fundamentals of the risk assessment criteria for your specific sectors and validate against the theory you learned in the lessons. 
The research project/dissertation aims to provide you with the opportunity to deal with problems in areas where new subject knowledge is required. This involves literature search, assessment of the relevance of previous work, the development of the research task, self-directed research, and the presentation of research results. Online learning will be provided with support documentation, experiments and exercises. Considerable time should be dedicated to developing software and hardware solutions that will lead to prototypes. 
For all modules (including Dissertation) you will be expected to work out in detail the examples provided in the lectures, explore the theoretical concepts by reading textbooks and scientific papers and work on Coursework/Group Projects/Individual Dissertation project tasks.

Curriculum Catalogue

Robotics, AI and Autonomous Systems - MSc

PSAUSY