Programme Specifications
Space Science and Robotics
Information provided by Department of Physics:
Information provided by Department of Computer Science:
Information provided by Department of Physics:
Compatible with QAA Benchmark statement for Physics, Astronomy and Astrophysics. This can be found here
Information provided by Department of Computer Science:
The Computer Science part of this Programme Specification has been designed to conform to the QAA Benchmark statement for Computing.
Information provided by Department of Physics:
Information provided by Department of Computer Science:
August 2021
Information provided by Department of Physics:
- To provide, through an Institute of Physics recognised programme, knowledge and understanding of fundamental concepts and techniques of a core of physics, computer science and planetary science topics, together with how these concepts can be applied to planetary exploration by robotic methods. The course follows a specially tailored combination of physics, solar system and planetary science and computer science modules.
- To provide working knowledge of advanced modern planetary science and robotic exploration methods and understanding of physical and robotic engineering methods and their application to planetary exploration.
- To ensure that research activity informs the learning and teaching process.
- To produce graduates with competence in subject-specific skills of scientific methodology, experimental techniques, modelling, numerical and computational methods and problem solving, in a rapidly developing field.
- To provide training in, and use of, a wide range of transferable key skills needed for employment at a graduate level.
- To develop in-depth understanding of a range of advanced topics in solar system science and exploration.
Information provided by Department of Computer Science:
Information provided by Department of Physics:
The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:
Information provided by Department of Computer Science:
Information provided by Department of Physics:
- Fundamental concepts of a core of physics relevant to space science and technology.
- Applications of these fundamentals to advanced topics approaching the frontiers of the subject where practicable.
- Appropriate working knowledge of mathematical techniques.
- A range of skills in practical physics, including experimental work, data manipulation and numerical modelling.
Teaching, learning and assessment methods used to enable outcomes to be achieved and demonstrated
- Lectures
- Problem classes
- Seminars
- Laboratory work
- Group and individual projects
- Visiting lecturer series
Assessment
- Time-constrained examinations
- Open and closed book tests
- Problem sheets
- Laboratory diaries and reports
- Project reports
- Oral presentations
- Computer programmes and assignments
Information provided by Department of Computer Science:
Information provided by Department of Physics:
- Acquisition of analytical and problem-solving skills
- Numerical skills
- Planning, execution and reporting of an experiment or investigation
- Experience of independent work in physics
- Development of mathematical and computing skills used to model and describe the physical world.
Teaching, learning and assessment methods used to enable outcomes to be achieved and demonstrated (examples)
- Tutorials
- Laboratory classes
- Group and individual projects
- Lectures
Assessment
- Example sheets
- Laboratory diaries and reports
- Group and individual project reports
- Time constrained examinations
- Oral presentations
- Open and closed book tests
Information provided by Department of Computer Science:
Information provided by Department of Physics:
- Problem-solving and analytical skills
- Working in groups
- Time-management and planning
- Written and oral communication skills
- IT skills
- Independent learning skills
- Investigative skills
Teaching, learning and assessment methods used to enable outcomes to be achieved and demonstrated
- Group project work
- Individual project work
- Oral examinations
- Example sheets
Information provided by Department of Computer Science:
MPHYS Space Science and Robotics [FH5P]
Academic Year: 2024/2025Integrated Masters scheme - available from 2008/2009
Duration (studying Full-Time): 4 yearsLast intake year: 2022/2023