аÄÃÅÁùºÏ²Ê¿ª½±½á¹û

School of Engineering and Informatics (for staff and students)

Robotics and Autonomous Systems (with an industrial placement year)

(MSc) Robotics and Autonomous Systems (with an industrial placement year)

Entry for 2024

FHEQ level

This course is set at Level 7 (Masters) in the national Framework for Higher Education Qualifications.

Course learning outcomes

Demonstrate a systematic understanding of the principles of Robotics and Autonomous Systems.

Have critical awareness of a range of specialist topics related to Robotics and Autonomous Systems, understanding current problems and emerging solutions which are at the forefront of the field of study.

Apply analytical and practical techniques, both systematically and creatively, to complex issues in Robotics and Autonomous Systems.

Acquire an in depth understanding of real engineering problems and solving them by applying engineering principles.

Demonstrate the ability to make sound judgements in the absence of complete data, and in complex and unpredictable situations.

Select and apply appropriate computational and analytical techniques to solve a given problem while using industry standard computational tools and packages.

Acquire, analyse and interpret simulated and experimental data with a practical understanding of how established techniques of research are used to create and interpret knowledge in the field.

Source, read and criticise scientific articles and technical reports. Presenting a written argument based on reading from a variety of sources.

Act autonomously and within a team, as appropriate, in planning, conducting and reporting on tasks at a professional level.

Apply a holistic approach to an engineering brief applying professional judgments in terms of cost, market, environment, sustainability, safety, and ethics.

Use laboratory equipment to generate data while executing experiments in a laboratory safely, and analysing, understanding and validating the experimental results using established research techniques.

Develop, analyse and construct technical specifications and designs.

Manage their own learning and conducting independent thinking and study. Hence exercise initiative and personal responsibility.

Communicate technical information and findings clearly to specialist and non-specialist audiences in a variety of media

Full-time course composition

YearTermStatusModuleCreditsFHEQ level
1Postgraduate Academic YearCoreMSc Project (Robotics and Autonomous Systems) (876H1)607
 Autumn SemesterCoreComputer Aided Design (888H1)07
  CoreControl Engineering (871H1)157
  CoreMechanics of Mechanisms and Robots (870H1)157
  CoreReawakening Mathematics (879H1)07
  OptionBusiness and Project Management (H7095)156
  Human-Computer Interaction (803G5)157
  Internet-of-Things and Embedded System Practice (883H1)157
  Programming for Engineers (872H1)157
 Spring SemesterCoreAutonomous Vehicles (H7122)156
  CoreRobot Design and Implementation (874H1)157
  OptionAdaptive Systems (825G5)157
  Advanced Topics in Control of Electromechanical Systems (866H1)157
  Embedded Systems and Sensors (873H1)157
  Image Processing (521H3)157
  Industrial Automation and Mechatronics (875H1)157
  Machine Learning (934G5)157
  Wearable Technologies (867H1)157
YearTermStatusModuleCreditsFHEQ level
2Postgraduate Academic YearCoreIndustrial Placement Year (881H1)1807

Part-time course composition

YearTermStatusModuleCreditsFHEQ level
1Autumn SemesterCoreComputer Aided Design (888H1)07
  CoreControl Engineering (871H1)157
  CoreReawakening Mathematics (879H1)07
  OptionBusiness and Project Management (H7095)156
  Human-Computer Interaction (803G5)157
  Internet-of-Things and Embedded System Practice (883H1)157
  Programming for Engineers (872H1)157
 Spring SemesterCoreAutonomous Vehicles (H7122)156
  OptionAdaptive Systems (825G5)157
  Advanced Topics in Control of Electromechanical Systems (866H1)157
  Embedded Systems and Sensors (873H1)157
  Image Processing (521H3)157
  Industrial Automation and Mechatronics (875H1)157
  Machine Learning (934G5)157
  Wearable Technologies (867H1)157
YearTermStatusModuleCreditsFHEQ level
2Postgraduate Academic YearCoreMSc Project (Robotics and Autonomous Systems) (876H1)607
 Autumn SemesterCoreMechanics of Mechanisms and Robots (870H1)157
  OptionBusiness and Project Management (H7095)156
  Human-Computer Interaction (803G5)157
  Internet-of-Things and Embedded System Practice (883H1)157
  Programming for Engineers (872H1)157
 Spring SemesterCoreRobot Design and Implementation (874H1)157
  OptionAdaptive Systems (825G5)157
  Advanced Topics in Control of Electromechanical Systems (866H1)157
  Embedded Systems and Sensors (873H1)157
  Image Processing (521H3)157
  Industrial Automation and Mechatronics (875H1)157
  Machine Learning (934G5)157
  Wearable Technologies (867H1)157
YearTermStatusModuleCreditsFHEQ level
3Postgraduate Academic YearCoreIndustrial Placement Year (881H1)1807

Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, аÄÃÅÁùºÏ²Ê¿ª½±½á¹û, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
School Office location [PDF 1.74MB]