- Start date: September
- Study mode and duration: 12 months full-time
Scholarship: Faculty of Engineering Scholarship for new international students
Study with us
- develop your own business plan or start-up company
- benefit from support from space industry experts and professionals
- learn how to solve real global development challenges
- gain multidisciplinary skills through an emphasis on the sustainable development goals and entrepreneurship
Why this course?
Our MSc Satellite Applications is a globally unique Masters degree which addresses the UN Sustainable Development Goals through satellite applications, entrepreneurship and data science. This is a novel opportunity to acquire specialist skills in satellite applications that will significantly enhance your skill sets, ultimately enabling you to become a global entrepreneur.
The programme offers training in satellite data acquisition, processing, interpretation, and application. Additionally, the course provides a focus on data science and entrepreneurship skills, requiring you to register a new business whie studying for the MSc and to develop a business plan to support it using the UN Sustainable Development Goals as a broad range of global challenges to provide a basis for this plan.
MSc Satellite Applications with Data Science has been developed in partnership with:
- UK Space Agency
- Scottish Centre of Excellence in Satellite Applications
- South African National Space Agency
- Council for Scientific & Industrial Research (executive bodies of the South African Government Department of Science and Technology (DST))
- partners in Namibia and Kenya
This MSc in Satellite Applications has an optional Data Science specialist stream for those wishing to acquire more advanced skills in big data applications.
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.
What you'll study
You'll take eight compulsory modules and four optional generic modules. You'll also undertake an individual project.
If you're taking the MSc Satellite Applications (without the Data Science specialty) you’re free to select from any of the optional classes, which you'll find in the 'course content' tab.
If you’re on the Data Science specialist option, you must include the two compulsory modules from your area of specialism.
You require to to develop a business plan and establish a start-up company which provides a solution to the achievement of a global challenge of your choice. We encourage you to consider addressing any of the UN Sustainable Development Goals. You'll receive support from academic and industry advisors to enable you to find solutions to real world problems using satellite data.
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 key skills which are considered necessary for professionals in satellite applications.
To qualify for the MSc, you'll undertake an individual project which allows for the development of your own business plan and company start-up on completion. The business will focus on providing an economically viable solution to one or more of the United Nations Sustainable Development Goals. The projects will be supported by academic and industry advisors to enable you to complete your projects successfully within the prescribed period.
The course is assessed through written assignments, exams and the 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:
- Semester 1: September to December – 50 credits of taught classes
- Semester 2: January to May – 70 credits of taught classes
- Semester 3: May to August – 60 credits dissertation
Introduction to Space Technologies
This module aims to provide students with an understanding of the operation of space technologies that are used to deliver satellite data for various applications. It features an overview of the space environment, spacecraft or satellite design principles, configuration and sub-systems, along with the techniques to undertake a basic space mission analysis and design for satellite applications.
Introduction to Satellite Applications
This module aims to give students a broad overview of satellite applications in industry, military, and research. Students will learn to distinguish between different satellite systems, their capabilities and limitations as well interpret satellite and acquire a basic understanding on what products are derived from different sensors.
The class will cover aspects of satellite communications, Global Navigation Satellite Systems (GNSS), remote sensing (active and passive), altimetry and an introduction to remote sensing data processing tools.
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
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
Optional Data Science Specialist Stream Only
Legal Ethical & Professional Issues for the Information Society
This class aims to ensure that the student is aware of the legal, social, ethical and professional issues commensurate with the practice of Information Systems Engineering. The students will learn to:
- appreciate the characteristics of professionalism as it relates to modern data management
- recognise & appreciate the professional aspects of other engineering & related classes in the curriculum, & how those aspects influence practice
- form a sound basis on which you'll subsequently be able to practise Information Systems Engineering with a due regard for legal, ethical & social issues
This module aims to provide students with an understanding of the operation of satellite payloads used to provide satellite applications featuring an overview of payload fundamentals and types of sensors, along with the techniques to undertake a basic technical analysis of satellite payload systems or sensors.
The module is intended for students who may or may not have a strong background in space technologies but who have completed the prerequisite first semester 'Introduction to Space Technologies' module on the MSc in Satellite Applications Course.
Data Science for Space Applications
This module aims to give the students hands-on experience with data retrieved from satellites. A blended learning approach will also give the students the opportunity for self-directed learning and interaction with their teaching staff as well as peers.
The module will enable students to describe different forms of satellite data, explain how satellite data is acquired and interpreted usefully and perform basic data processing and analysis using Python programming language.
Satellite Applications for the Sustainable Development Goals (SDGs)
This module aims to not only give students hand-on experience with satellite data, but also create a connection between this data and application areas using the United Nations’ Sustainable Development Goals (SDGs) as case studies.
The content of the lecture, combined with computer labs, aims to encourage and inspire students, so that they are aware of their possibilities in order to be able to complete the final project after the second semester.
The module will teach the students an understanding of how to develop their own business plan where they use satellite data to support any global challenge or the SDGs.
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.
Optional Data Science Specialist Stream Only
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
The Individual Project is for MSc students after taught modules are successfully passed.
In this part of the course, students undertake supervised, individual project work, with the award of MSc being made on the basis of an acceptable thesis submission. The project will involve the development of a business plan and establishment of a company start-up aimed at addressing a global challenge using satellite data.
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.
First or second-class Honours degree, or equivalent, in engineering or physical sciences, or any other relevant discipline such as geography, geoscience, environmental science and computer science. Good knowledge of programming is desirable and basic knowledge in programming is highly-desirable.
|English language requirements|
You must have an English language minimum overall band score of IELTS 6.5 (with no component below 5.5) or satisfactory evidence of English Language competency according to the UK Visas and Immigration (UKVI) requirements.
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
Fees & funding
All fees quoted are for full-time courses and per academic year unless stated otherwise.
|Rest of UK|
Optional textbooks and printed materials – maximum cost of around £100 for duration of course
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 and non-UK EU postgraduate students
Scottish and non-UK EU 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.
Faculty of Engineering Scholarships for International Students
If you're applying for an MSc course you'll be eligible to apply for one of our scholarships for up to £5,000 towards your tuition fees.
Scholarships are available for applicants to all self-funded, new international (non-EU) fee paying students holding an offer of study for an MSc programme in the Faculty of Engineering at the University of Strathclyde.
Please note you must have an offer of study for a full-time course at Strathclyde before applying. You must start your full-time MSc programme at Strathclyde in the coming academic year (2020-21).Find out more about our scholarship for international students
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 by creating and growing a new company of your own, or if you prefer 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 Univeristy 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.
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Satellite Applications with Data Science
Start Date: Sep 2020
Mode of Delivery: full-time
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