- Start date: January
- Study mode and duration: 12 months full-time
Scholarship: Faculty of Engineering International Scholarship for new international students
Study with us
- build a fundamental understanding of space system design, remote sensing, data analytics and machine learning while choosing electives in urban design, clean energy solutions, environmental impact, entrepreneurship, management and advanced computing techniques
- study applied learning, in the frame of the UN's Sustainable Development Goals (SDGs), to find real life solutions to global development challenges
- focus on sustainability across various industries by engaging in industry guest lectures, case studies and student projects
Why this course?
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. Students will gain an insight in to the broad use of satellite data across various industries and will be equipped with the necessary technical skills and critical thinking to understand the challenges we are facing globally and develop innovative solutions, through project based learning (some of them group based) and a final individual project.
You'll take 180 credits made up of 120 credits of taught modules and the 60-credit individual project. The 12-month full-time course spans three semesters as follows:
This class is designed to provide an overview of spaceflight systems. An overview of the complete spacecraft lifecycle from objectives, through launch and operations is covered, along with the function and purpose of the spacecraft sub-system level components. In addition to the technical detail of spaceflight systems, the importance of ancillary skill-sets is introduced such as project management. Finally, the various elements of the class will be brought together through a semester-long project to develop a feasibility study of a space mission.
Satellite Data Assimilation & Analysis
This class is designed to provide students with an understanding on available satellite datasets, their characteristics, processing and visualisation methods and tools, descriptive analytics methods. The class is designed to provide theoretical foundations, as well as hands on exercises.
Machine Learning for Satellite Data
This class is designed to provide the students with the theoretical and practical foundations on the applications of machine learning methods to satellite data for prediction, classification, clustering and time series analysis.
Satellite Applications for the Sustainable Development Goals (SDGs)
The class introduces the UN’s 17 Sustainable Development Goals and will explore in depth multidisciplinary perspective of responding to the challenges of four particular goals, namely: SDG 3 Good Health and Wellbeing, SDG6 Clean Water and Sanitation, SDG 10 Reduced Inequalities and SGD 13 Climate Action. Through focused study of these four SDGs, students will gain an understanding of the different ways in which various disciplines in Business, Engineering, Humanities and Social Sciences, and Science, can contribute to addressing these challenges.
The second part of the course, that will run in parallel with the first one, is focused on providing students with a practical understanding of the application of satellite data to SDGs and the sustainability of data gathering itself. This articulates in a series of invited lectures from academics from other departments, private practitioners and governmental representatives; and a series of tutorials where notable success stories on the topic will be analysed and discussed in terms of results achieved, impact and technology demonstrated.
60 credits, during Summer and Sept Semester
In addition to taught modules, students are expected to conduct an individual research project which may be an industry-themed project or one aligned to engineering research at Strathclyde. Students can also self-propose projects if there is any application of satellite data that they are really interested in exploring further.
The following optional module selections will be provided to students. The selection of these modules has been discussed and agreed with each of the departments in involved in running the modules.
Entrepreneurship, Innovation & Commercialisation
This class aims to provide engineers and scientists with a better understanding of what it takes to create and grow technology-based businesses. Specifically it aims to:
- provide students with an appreciation of the intrinsic value of entrepreneurship, innovation & commercialisation activities to business
- provide students with a set of frameworks to better understand & more successfully engage in high-tech business opportunities
- provide students with a better appreciation & understanding of management in a complex, uncertain & interdisciplinary high-tech business environment
New Venture Planning
This class is designed to provide a practical introduction to business modelling and understanding how new ventures are developed. The class is multi-disciplinary in nature and integrates within it the main business disciplines. It focuses upon the processes within new businesses but draws comparisons with larger organisations and as such introduces a more entrepreneurial approach to the career patterns of individuals who pursue careers in larger organisations.
The class will not follow the more traditional lecture pattern but will be highly interactive with class participants being involved in individual and group activities which will encourage creative thinking and 'learning by doing' in addressing the real opportunities and challenges that face the first-time entrepreneur.
This class considers the nature of business planning and deals with the business planning process. It is a project-based course in which students, working in small groups, research and develop a business plan for a new venture. Students will select a business idea and develop it into a business model. In the final weeks of the course, each group will showcase a video presentation of their plan and will be questioned by an 'enterprise panel' about aspects of this business model.
This module provides students with skills relating to the use of engineering practices in Project Management with particular respect to the effective and efficient use of resources. The syllabus includes an introduction to project management techniques and project control, project networks including critical path analysis, procedural and graphical presentation techniques, an introduction to Contract Law and project budgetary control.
Under Health and Safety legislation, and under the wider European Post-Seveso Directives, it is mandatory for many industries to carry out risk assessments with the aim of showing that risk is As Low As Reasonably Practicable. This module introduces the fundamental techniques of risk analysis and risk-informed decision making. Students will learn the general principles of methods and their place in risk management, as well as the chance to develop skills in applying these methods to variety of engineering examples.
Machine Learning & Data Analysis
Big Data Fundamentals
The aim of this module is to give students:
- an understanding of the new challenges posed by the advent for big data, as they refer to its modelling, storage & access
- an understanding of the key algorithms & techniques which are embodied in data analytics solutions
- an understanding of the fundamentals of Python to enable the use of various big data technologies
- an understanding of how classical statistical techniques are applied in modern data analysis
- an understanding of the potential application of data analysis tools for various problems & appreciate their limitations
Machine Learning for Data Analytics
The aim of this class is to equip students with a sound understanding of the principles of machine learning and a range of popular approaches, along with the knowledge of how to apply the techniques. The class will teach the students how to:
- understand the aims & fundamental principles of machine learning
- understand a range of the key algorithms & approaches to machine learning
- apply the algorithms covered & interpret the outcomes
- understand the applicability of the algorithms to different types of data & problems along with their strengths & limitations
This class will provide you with practical experience of SQL query design, and conceptual and practical understanding of database indexing and transactional design, and practical skills in developing database applications at the core of Big Data systems. Upon completion you will:
- be able to design complex database queries including the use of triggers
- understand and be able to apply the methodologies for embedding SQL queries in programming languages
- understand and apply common approaches to database query optimisation using indexes
- understand database transaction structure in terms of concepts and practical application in SQL
We generally use Glasgow as a living laboratory for our studio project. Our City is an example of a European metropolis experiencing change and globalisation,. You will learn to develop appropriate strategies for resilient sustainable urban development, encompassing social, political, economic, environmental, architectural, aesthetic and psychological aspects. You'll work on the design of a complex urban area, generally on commission of a real client (local authority, housing association, community group or private developer). In addition you'll work at the interconnected levels of the entire city, the neighbourhood and the individual public space defined by urban architecture.
Studio meets once a week in Semesters 1 and 2 with design development work taking place between sessions. You'll work in multidisciplinary teams of architects, planners, geographers and economists, in the same way you'll do in practice. Work is fast-paced but also in-depth. You'll have considerable responsibility (ie presenting to clients and organising public events), but it is also a lot of fun.
Urban Landscape Design
You'll look at the impact of the urban landscape on human wellbeing and perception and the role of ecological networks as an integral part of urban form.
We'll cover the impact of growth on social, economic and environmental sustainability.
Civil & Environmental
Geographical Information Systems (GIS)
This practical-based classe provides a thorough introduction to the rapidly growing field of Geographical Information Science. The class covers the key theoretical principles but also provides many computer-based exercises using current state-of-the-art Geographical Information Systems (GIS) – namely IDRISI and ArcGIS. The class evaluates how GIS can be used for spatial query and analysis, while at the same time assessing the quality and the effectiveness of the resultant products in terms of their use. Teaching staff: Dr Elsa João
Air Pollution, Climate Change & Human Health
In this class, run by the Department of Civil and Environmental Engineering, you'll gain the knowledge and skills on atmospheric pollution and climate change impacts, ranging from local to global scales. The class includes a focus on the assessment and management of environmental impacts on people through the interface between environmental science and engineering activities that mitigate environmental risks. Learning objectives are assessed through a formative portfolio covering the main syllabus areas. Student interaction is encouraged throughout the class through structured feedback sessions, directed reading, student-led question sessions & directed questions sessions.
Environmental Impact Assessment*
This class, run by the Department of Civil & Environmental Engineering, provides an introduction to the methods used to predict environmental impacts, and evaluates how these may be used to integrate environmental factors into decisions. The class draws principally on the UK planning context of environmental impact assessment of individual projects (project EIA), but also takes account of EIA experience in other countries and international organisations. Students are also introduced to key principles of Strategic Environmental Assessment (SEA).
Circular Economy & Transformations Towards Sustainability
The class, run by the Department of Civil & Environmental Engineering, introduces circular economy as a systems-based concept in which production is designed to be restorative and resilient, while waste is designed out of the system. Circular economy is thus featured as a reaction to the conventional dispensation of the linear ‘make-use-dispose’ economy, and as a framework for the development and management of a sustainable, ‘waste-as-a-resource’ economic system. The implications of the concept for research, policy and industrial practice are also explored as these relate to innovation and knowledge production; social trends and consumer behaviour; conservation and sustainable use of energy and material resources; climate change and environmental sustainability; and design of business models for green enterprise development and for sustainable growth and employment generation.
Energy Resources & Policy
Against the background of international commitments on atmospheric emissions, diminishing fossil fuel resources, renewable energy systems deployment and the liberalisation of energy markets, this module examines sustainable options for energy production, supply and consumption. The aim is to give students an understanding of current trends in the energy market, and to enable a critical evaluation of emerging ideas, technologies and policies especially in relation to new and renewable energy supply systems.
Energy Modelling & Monitoring
This module provides an understanding of the theoretical and operational principles underlying simulation modelling of energy supply and demand systems and their environmental impact. The emphasis is on practical computer lab-based modelling exercises. It covers detailed energy system simulation, supply-demand matching, energy management and monitoring.
Renewable Marine Energy Systems
Learning & teaching
You'll select from a combination of specialist and compulsory modules. The specialist modules focus on different technical aspects allowing tailored learning to suit individual needs. The compulsory modules provide the core key skills which are considered necessary for professionals in satellite data science.
To qualify for the MSc, you'll undertake an individual project which allows for the development of your own idea on the application of satellite data to provide an economically viable solution to one or more of the United Nations Sustainable Development Goals. The projects will be supported by academic and, where possible, industry advisors to enable you to complete your projects successfully within the prescribed period.
The course is assessed through written exams, groups and individual presentations, group and individual projects and the final individual project.
I am very pleased with the course. Lecturers allow us to explore our ideas in coursework which motivates me to learn about new technology and be innovative.
Normally a first-class or second-class honours degree (or international equivalent) in either Engineering, Science, Public Policy, Law, and Business.
Other qualifications may also be considered provided there is evidence of capacity for postgraduate study.
Pre-Masters preparation course
The Pre-Masters Programme is a preparation course held at the University of Strathclyde International Study Centre, for international students (non EU/UK) who do not meet the academic entry requirements for a Masters degree at University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.
Upon successful completion, you will be able to progress to this degree course at the University of Strathclyde.
We've a thriving international community with students coming here to study from over 100 countries across the world. Find out all you need to know about studying in Glasgow at Strathclyde and hear from students about their experiences.Visit our international students' section
Anytime I answer to people back home and other countries that I am studying at Strathclyde, I get super positive feedback showing that Strathclyde is internationally recognised, not forgetting Strathclyde's recent recognition as Scottish University of the Year by the Times and Sunday Times Good University Guide 2020.
Fees & funding
|England, Wales & Northern Ireland|
Optional textbooks and printed materials.
Please note: The fees shown are annual and may be subject to an increase each year. Find out more about fees.
How can I fund my course?
Scottish postgraduate students
Scottish postgraduate students may be able to apply for support from the Student Awards Agency Scotland (SAAS). The support is in the form of a tuition fee loan and for eligible students, a living cost loan. Find out more about the support and how to apply.
Students coming from England
Students ordinarily resident in England may be to apply for postgraduate support from Student Finance England. The support is a loan of up to £10,280 which can be used for both tuition fees and living costs. Find out more about the support and how to apply.
Students coming from Wales
Students ordinarily resident in Wales may be to apply for postgraduate support from Student Finance Wales. The support is a loan of up to £10,280 which can be used for both tuition fees and living costs. Find out more about the support and how to apply.
Students coming from Northern Ireland
Postgraduate students who are ordinarily resident in Northern Ireland may be able to apply for support from Student Finance Northern Ireland. The support is a tuition fee loan of up to £5,500. Find out more about the support and how to apply.
We've a large range of scholarships available to help you fund your studies. Check our scholarship search for more help with fees and funding.
High-calibre professionals with satellite applications or data skills are in demand throughout the world.
This course provides the skills to exploit the knowledge gained to meet the global industrial demand for highly-qualified people in the area of satellite applications, data science, and development organisations targeted at the UN Sustainable Development Goals. It's particularly suitable for graduates in the following sectors:
- sustainable development
We work closely with the University Careers Service which offers advice and guidance on career planning and looking for and applying for jobs. In addition, they administer and publicise graduate and work experience opportunities.
Glasgow is Scotland's biggest & most cosmopolitan city
Our campus is based in the very heart of Glasgow, Scotland's largest city. National Geographic named Glasgow as one of its 'Best of the World' destinations, while Rough Guide readers have voted Glasgow the world’s friendliest city! And Time Out named Glasgow in the top ten best cities in the world - we couldn't agree more!
We're in the city centre, next to the Merchant City, both of which are great locations for sightseeing, shopping and socialising alongside your studies.
Find out what some of our students think about studying in Glasgow!Find out all about life in Glasgow
Satellite Data for Sustainable Development (January)
Start Date: Jan 2022
Mode of Attendance: full-time
Satellite Data for Sustainable Development (January)
Start Date: Jan 2022
Mode of Attendance: part-time
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