Space-related degrees and FE courses
512 degrees and FE courses in aerospace engineering, space science, and remote sensing in the UK, last updated 5 December 2025.
Data from UCAS, curated by Space Skills Alliance.
Systems engineering
(55)
Aero/mechanical engineering
(239)
Electronics
(15)
- Electronics (15)
- Sensors & instruments (0)
- Radio frequency & telecoms engineering (1)
- Computer systems, architectures & networks (1)
- Avionics (7)
- Signal processing (0)
- Guidance, navigation & control (0)
- Telemetry, tracking & control (1)
- Analogue & digital systems (0)
- Optoelectronic systems (0)
- Electrical engineering (1)
- Electronics engineering (11)
Maintenance, manufacturing & materials
(4)
Space operations
(2)
Satellite applications
(34)
Space science
(218)
Software & data
(8)
Business, finance & law
(2)
Found 7 courses
Displaying all 7 courses · Download results (CSV)
Data-Intensive Astrophysics
Master's (1 year) at Cardiff University
**The MSc in Data-Intensive Astrophysics has been designed to provide you with the skills and knowledge needed for a career in a range of areas including academic research in astronomy or astrophysics as well technical, development and engineering positions in related scientific fields.** The MSc in Data-Intensive Astrophysics has been designed to provide you with the skills and knowledge needed for a career in a range of areas including academic research as well technical, development and engineering positions in the “in-demand” field of “Big Data” and related scientific fields. By combining data analysis and computational techniques with a core science discipline, the course is intended to satisfy the increasing demand for well-qualified postgraduates who are equipped with the expertise to respond to a range of challenges arising from this exciting field. It has been estimated that “Big Data” has already added thousands of new jobs to the UK economy and this is likely to increase as new approaches to data transform the public, private and academic sectors. The course is delivered by members of our Data Innovation Research Institute, which was recently established to conduct research into the aspects of managing, analysing and interpreting massive volumes of textual and numerical information. A key component of the course is a 3 month summer project, which will be based either in our School of Physics and Astronomy, or with one or more of our external partners. The project will focus on the application of modern data science methodologies to a problem in Astrophysics (such as star formation, galaxy formation or gravitational waves), providing the hands-on experience needed to succeed in the dynamic field of Data-Intensive Astrophysics as well as wider aspects of data science. **Distinctive features** - Central to the design of the course is the opportunity for you to acquire real research experience in connection with world-leading scientists, greatly enhancing your CV and prospects for employment or further study. - As well as providing a solid core in all the necessary elements of Data Science, the programme allows a choice of elective modules and project work that can be tailored to suit whatever specialism you are interested in, whether that be gravitational waves, star or galaxy formation or cosmology. - You’ll join a well-established and growing cohort of MSc students and be based in a dedicated teaching facility that encourage a “research group” community atmosphere that has been praised by students and external examiners. You’ll also have the opportunity to interact with students on related courses such as our MSc Data Science and Analytics. - As a successful graduate of this course you will be ideally placed to take advantage of the fast growing employment opportunities being generated in this field. ..
Computational Archaeology: GIS, Data Science and Complexity
Master's (2 years) at UCL (University College London)
Top archaeological researchers and heritage professionals use a raft of computational methods including GIS, data mining, web science, ABM, point-process modelling and network analysis. To impress employers you need the flexibility to learn on the job, leverage open data and program open source software. This MSc draws on UCL's unparalleled concentration of expertise to equip you for future research or significantly enhance your employability...
Geography with GIS and Data Science
Bachelor's (3 years) at University of Plymouth
Expand your knowledge across geography and geospatial data science to develop solutions for some of the most pressing issues facing humanity today. From sustainability, climate change, natural hazards and public health, geographers are well placed to respond to global challenges. In the age of data science, you can be part of this solution by developing unique insights from an understanding of the social and physical world. - Your degree pathway is flexible. Alongside core data science modules, you can choose both physical geography (GGP) and human geography (GGH) modules. - Teaching is innovative and student-centred. You will learn through lectures, seminars, practicals, national and/or international residential fieldwork, tutorials and one-to-one dissertation support. - Learn to use a range of Geographical Information Systems and data science packages to analyse and communicate complex spatial data. - Take the opportunity to spend your second year studying abroad in Europe, Canada, Australia, USA or elsewhere through our bilateral and ISEP exchange programme. - Our focus on employability and applied geography supports students to pursue a range of career opportunities. - Choose an optional work placement programme providing skills, experience and contacts in a wide range of employment sectors. - Benefit from our unique location, in the heart of the historical city of Plymouth, bordered by Dartmoor National Park as well as the Tamar Valley and South Hams Areas of Outstanding Natural Beauty. Devon and Cornwall have glorious beaches, coasts, rivers and estuaries. ..
Satellite Data for Sustainable Development
Master's (1 year) at University of Strathclyde
Our MSc Satellite Data for Sustainable Development is a globally unique Masters degree which embraces the UN Sustainable Development Goals to offer a cross-disciplinary approach to teaching of satellite applications, space system design, data science and sustainability. The applied learning activities of the MSc programme is strategically aligned with the goals and interests of the University of Strathclyde’s Centre for Sustainable Development, to give students a wider exposure to the global movement that surrounds the 17 UN SDGs. The course will have a focus on the practical use of satellite data in direct applications to SDGs through the analysis of case studies and engagement, through student projects and invited talks with start-ups and NGOs actively working in the field. ..
Scientific Computing and Data Analysis (Astrophysics)
Master's (1 year) at Durham University
**Course details** Developments in many areas of science and engineering are increasingly driven by experts in computational techniques. Those with the skills to write code for the most powerful computers in the world and to process the biggest data sets in the world can truly make a difference. Our suite of Masters in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands: *Computer Science underpinnings of scientific computing *Mathematical aspects of data analysis and the simulation and analysis of mathematical models *Implementation and application of fundamental techniques in an area of specialisation (For further details please scroll to the bottom of the page for Provider Information and select Visit our Course Page under Course Contact Details.) The MISCADA specialist qualification in Astrophysics is designed to equip you with the background knowledge and skills to address some of the biggest research questions in fundamental science, such as how we can use large surveys and supercomputer simulations to probe the nature of dark matter and dark energy. **Why Durham University?** The Department of Computer Science’s academic fusion of technology and independent thinking places it firmly at the cutting edge of computer learning. We bring innovative applications together with critical thought processes to give you the skills to play a key role in the data-led future. The Department is at the heart of the fast-paced world of applications and algorithms. We maintain an in-depth understanding of the fundamentals of computation and are fully up to speed with the latest technologies that emerge at an ever-increasing rate. Learning from academics who lead cutting-edge research provides valuable insight into high quality projects, and gives our postgraduate community the opportunity to play a role in shaping a future in which crucial developments in society are supported by technological innovation. **Facilities** The Department is located in a £40 million purpose-built building in the heart of Durham at Upper Mountjoy and features open-plan work areas, breakout spaces for collaboration projects, laboratories and computer rooms. We are fortunate to have supercomputers for High-Performance Computing and for data analysis and machine learning as well as access to several visualisation and data postprocessing laboratories. **Career Opportunities** Qualifications in computer science are highly sought after by employers across the globe and an award from our Department provides the academic skills, industry insight and research-informed approach that sets postgraduates up for careers in a broad range of sectors. Many postgraduates have gone on to work as software engineers, analysts, consultants, programmers and developers. Some have founded their own start-ups or work in leading software companies, high-technology consultancies, banking and finance, retail, engineering, the communications and IT industry. The Department has strong research links, spanning both industry and government, including the automotive sector with Jaguar Land Rover and Renault, the defence and security sector with QinetiQ and Boeing, with government in the Civil Service and at GCHQ and in the manufacturing sector with Procter & Gamble. Other high-profile employers include BAE Systems, Google and BT...
Satellite Data Science
Master's (2 years) at University of Leicester
This interdisciplinary MSc in Satellite Data Science trains you in the development and use of satellite observations of the earth and its atmosphere for understanding the natural environment and how it is being impacted by human behaviour. **The course is accessible to students without a strong computing and mathematical background.** You will be taught the basic operational principles of different remote sensing/earth observation platforms and sensors, learn how to use a variety of data- and image-processing techniques and software, and gain practical experience of using satellite data and data products in a number of applied terrestrial and atmospheric contexts. The uptake, use, and commercialisation of satellite data has created a demand for expertise in Data Science and you will be trained in a broad range of data science techniques. The course is structured so that transferable data science skills taught and developed within a strong disciplinary and vocational context. These skills are not limited to a career focused on satellite observations. You will gain experience in coding that will help you to process large amounts of data that are often needed for a number of data science methods (such as machine learning). They address the shortage of qualified data scientists in the UK and abroad and will place you in a strong position for a career in a range of data science sectors. Students taking the ‘with industry’ version of the degree can seek placements with a range of commercial organisations associated with Earth Observation and data science sectors of the economy. Students seeking placements are supported by two Placement modules, one taken in each semester. NB. The PGDip in Satellite Data Studies has the same modules as the MSc in Satellite Data Science, but does not include a dissertation...
MSc Artificial Intelligence for Geospatial Data Analysis
Master's (1 year) at University of Hull
Geospatial analysis is being radically changed by embedding data science and data analytics into the discipline. Rather than a human being looking at data and images of the Earth, artificial intelligence is being increasingly deployed to automate tasks that humans cannot otherwise accomplish in any reasonable amount of time. Nationally, there is a widely recognised shortage of qualified Artificial Intelligence (AI) and data scientists to meet the needs of industry. This course will equip you with the skills and professional insight needed to launch a career in this fast-growing sector. As a conversion degree, you do not need a science background. And the knowledge you gain will help you build a portfolio that will launch you into the field of data science, acquiring highly sought after skills that will greatly enhance your career pathway. The programme will cover topics such as, programming, statistics, machine learning, data visualisation and computer vision and the ethical and legal responsibilities of using data. This geospatial data analysis variant will include bespoke modules covering the fundamentals of geo-information science and earth observation, and spatio-temporal big data analytics. In the third semester, you will have the opportunity to choose or design their own research project in a disciplinary area which may relate to their background or career goals. Alternatively, there may also be opportunity to undertake a project working with an industry partner...
Displaying all 7 courses