Curriculum
The curriculum comprises 90 ECTS credits, to be completed in 12 months (three trimesters).
Core Modules
| Code | Title | ECTS | Trimester |
| PHYC40660 | The Space Environment & Spacecraft | 5 | 1 |
| PHYC40730 | Applications of Space Science | 5 | 1 |
| PHYC40740 | Space Sector Professional Skills | 5 | 1+2 |
| PHYC40870 | Space Detector Laboratory | 10 | 1 |
| PHYC40810 | Satellite Subsystems Laboratory | 10 | 2 |
| PHYC40880 | Space Mission Design | 10 | 1+2 |
| PHYC40950 | Space Sector Internship | 30 | 3 |
The timetable for core modules is confined to Mondays and Fridays, but may be subject to change within those days. The information provided is for guidance only.
Detailed descriptions of each module can be found (opens in a new window)here
Options Modules
The availability and timetable for options modules may be subject to change. Other options may be available depending on a student's background and interests. Options which are similar to those previously taken (e.g. as part of the undergraduate degree) may not be chosen. Students must take 15ECTS of options.
| Code | Title | ECTS | Trimester |
| PHYC41080 | Physics Data Analysis (Python) | 5 | 1 |
| PHYC40570 | Physics Demonstrating/Tutoring | 5 | 1 or 2 |
| PHYC30100 | Stellar Astrophysics | 5 | 1 |
| PHYC40030 | Galaxies and Observational Cosmology | 5 | 2 |
| PHYC40360 | Theoretical Astrophysics | 5 | 2 |
| BSEN40780 | Remote Sensing | 5 | 1 |
| COMP41680 | Data Science in Python | 5 | 2 |
| COMP47670 | Data Science in Python MD (Mixed Delivery) | 5 | 1 or 2 |
| COMP47750 | Machine Learning with Python | 5 | 1 |
| COMP47990 | Machine Learning with Python (Online) | 5 | 2 |
| GEOG30790 | Planetary Geomorphology | 5 | 1 |
| GEOG40890 | Remote Sensing | 10 | 2 |
| GEOL40450 | Environmental Geoscience (Online) | 5 | 1 |
| STAT40800 | Data Programming with Python (Online) | 5 | 1 |
| MEEN40820 | Technical Communications (Online) | 5 | 1 or 2 |