Artificial Intelligence, Space and Security Technologies MSc

Attendance mode

Entry year

Duration: 1 year; 1 year
Start date: September; September
Location: City Campus; City Campus

Suitable for UK and internationalUK and international applications.

Overview

What if you could develop advanced expertise at the intersection of artificial intelligence, space technologies and global security?

Our MSc Artificial Intelligence, Space and Security Technologies will equip you with the knowledge and skills to work in this rapidly evolving field.

This interdisciplinary programme combines technical AI knowledge with an understanding of how emerging technologies are shaping global security, governance and international relations.

You will explore how artificial intelligence is applied in areas such as space data, satellite systems and advanced analytics, while also examining the wider implications of these technologies.

You will develop skills in machine learning, data analysis and applied AI, alongside an understanding of how these technologies are designed, deployed and used in real-world contexts. At the same time, you will engage with key issues such as ethics, governance, international security and responsible innovation.

As you progress, you will learn to evaluate the role of AI and space technologies within complex global systems, considering both their technical capabilities and their societal and strategic impacts. You will develop the ability to analyse emerging technologies critically and apply your knowledge to real-world challenges.

The programme prepares you for careers across technology, security, policy and research-focused sectors, as well as further postgraduate study in artificial intelligence, space systems and related interdisciplinary fields.

What if you could develop advanced expertise at the intersection of artificial intelligence, space technologies and global security?

Our MSc Artificial Intelligence, Space and Security Technologies will equip you with the knowledge and skills to work in this rapidly evolving field.

This interdisciplinary programme combines technical AI knowledge with an understanding of how emerging technologies are shaping global security, governance and international relations.

You will explore how artificial intelligence is applied in areas such as space data, satellite systems and advanced analytics, while also examining the wider implications of these technologies.

Entry requirements

2:2 or above in a science, technology, engineering, or mathematics discipline, from an approved degree awarding body.

Candidates who do not fulfil the normal entry requirements but have extensive industrial experience in a related area will be considered on an individual basis.

2:2 or above in a science, technology, engineering, or mathematics discipline, from an approved degree awarding body.

Candidates who do not fulfil the normal entry requirements but have extensive industrial experience in a related area will be considered on an individual basis.

English language requirements: Minimum IELTS 6.0 or equivalent, with at least 5.5 in each subtest or GCSE English Language at grade C/4.

English language requirements: Minimum IELTS 6.0 or equivalent, with at least 5.5 in each subtest or GCSE English Language at grade C/4.

Your learning journey

All module information is for 2026/7 entry and is subject to change.

First year

Optional

Statistical Applications of Industrial Big Data

Nowadays large amounts of data are collected from many different sources; such data can be used for enhanced benefits and impact to society by evaluating the quality and relevance, integrating with existing information and digital resources, extracting patterns and creating new knowledge for decision support in engineering, healthcare and wellbeing, and society sustainable development.

However, large amounts of data create continuous challenges for relevant and effective usage in industry. The module is intended to Engineering, Management, Data Analytics, Computer Science and similar subject graduates to gain hands-on development of advanced knowledge and skills in the application of statistical methods in support of robust big data-based decision-making.

This research-informed module enables students to develop both specialist knowledge and enhanced problem-solving skills in statistical data analysis required to apply data science principles, and to provide data-driven, innovative engineering solutions for decision support and data-enhanced applications.

Students will explore how statistical applications of industrial big data resources can support knowledge discovery for decision making in domains such as industry 4.0/5.0, product design and development, product quality management and product safety. The module will also address legal, social ethical and professional aspects of such application domains. Students will also benefit from a hybrid approach of learning and assessment, benefitting from critical research, planning and working as team members, and solution development and demonstration as individual professionals.

The example topics are aligned with the programme of studies topics through relevant data resources and references. The module assessment will provide opportunities to develop interest, knowledge and skills in problem solving applying statistics to industrial big data challenges and projects within the new wave of data-enhanced engineering developments.

Big Data Visualisation (PG)

The aim of this module to provide you with key principles and techniques of data visualisation.

By completing this module you will gain advanced knowledge and skills on developing methods and techniques of data visualisation to improve comprehension, communication, and decision making in big data applications.

Earth Observation Satellite Systems

This module aims to provide students with a foundational understanding of Earth Observation (EO) systems, including the key concepts, technologies, and processes involved in acquiring, processing, and interpreting satellite-based data. Students will explore both optical and microwave remote sensing techniques and learn how EO data can be applied to address real-world challenges in areas such as environmental monitoring, urban development, and disaster response.

The module will develop students' ability to handle satellite imagery, extract meaningful geospatial information, and visualise data effectively. It will also introduce current trends and emerging challenges in the EO sector, fostering awareness of the evolving landscape of EO technologies and their societal impact.

Core

Space Ecosystem and Enabling Technologies

Space technology is indispensable to modern life and some of its applications provide cost-effective and sometimes only means of addressing some of society’s biggest challenges.

This module aims to give students a good understanding of the space ecosystem (including physical environment, regulatory framework, and space business) and the key technologies that underpin and enable the utilisation of space.

Students also learn to work together by dividing a project into smaller tasks.

Applied AI in Space Data and Systems

Artificial intelligence (AI) has gained prominence in recent years and is now a powerful and indispensable tool in the diverse sectors of the space industry. This module aims to equip students with a good understanding of the advanced concepts and applications of AI in space technologies and space data.

Students will combine theoretical knowledge with practical skills through use of selected software and/or hardware platforms.

MSc Project

To further develop practical evaluation of professional engineering activity in a chosen specialisation. To extend the student's ability to plan, implement and review appropriate activities in a large and academically demanding project, so as to achieve an agreed set of objectives in a given time scale.

All module information is for 2026/7 entry and is subject to change.

First year

Optional

Statistical Applications of Industrial Big Data

Big Data Visualisation (PG)

The aim of this module to provide you with key principles and techniques of data visualisation.

Earth Observation Satellite Systems

Core

Space Ecosystem and Enabling Technologies

Space technology is indispensable to modern life and some of its applications provide cost-effective and sometimes only means of addressing some of society’s biggest challenges.

Students also learn to work together by dividing a project into smaller tasks.

Applied AI in Space Data and Systems

Students will combine theoretical knowledge with practical skills through use of selected software and/or hardware platforms.

MSc Project

Teaching, learning and assessment

You will learn through a combination of lectures, seminars, workshops and practical sessions, where you will develop both technical knowledge and critical understanding.

There is a strong emphasis on applying your learning to real-world challenges, including the use of case studies, data analysis and project work.

Teaching integrates perspectives from artificial intelligence, space technologies and global security. You will develop your understanding of advanced AI methods alongside their application in areas such as space data and systems, while also exploring the ethical, legal and governance dimensions of emerging technologies.

Throughout the programme, you will develop your ability to analyse complex problems from both technical and interdisciplinary perspectives. You will learn to evaluate how technologies are designed and used, and to consider their wider societal and strategic implications.

A major component of the programme is the dissertation or project, where you will apply your knowledge to a substantial, independent piece of work. This allows you to explore a specialist area of interest and demonstrate your technical, analytical and critical skills.

Assessment varies by module and may include coursework, technical reports, presentations, case study analysis and examinations. You will receive feedback to support your development, with assessments designed to reflect both technical practice and critical evaluation.

Teaching, learning and assessment

You will learn through a combination of lectures, seminars, workshops and practical sessions, where you will develop both technical knowledge and critical understanding.

There is a strong emphasis on applying your learning to real-world challenges, including the use of case studies, data analysis and project work.

Fees, finance and scholarships

Tuition fee

Home: £9,940
International: £19,500

Tuition fee

Home: £10,189
International: Fees are currently under review and will be confirmed soon

Additional course costs

While there are no compulsory additional costs associated with this course, there may be general additional costs that you may incur as a student. A list of the sort of costs you might expect can be found on our fees and finance section.

Funding your studies

It can be hard to know what financial help is available to you as a student.

Further information about the variety of options that can help fund your studies and maximise the money available to you is available on our funding your studies section.

Scholarships

Every year we award numerous non-repayable scholarships to UK, EU and international students on the basis of academic excellence, personal circumstances or economic hardship. For full details, visit our scholarships section.

Career prospects

Career options for graduates of this course include:

Diagnostic radiographer
Nuclear medicine technologist / Radiographer
Sonographer
Forensic radiographer
Veterinary radiographer

Discover more about these careers in our Five careers for a Diagnostic Radiography graduate blog.

Career opportunities

The University is committed to helping students develop and enhance employability and this is an integral part of many programmes. Specialist support is available throughout the course from Career and Employability Services including help to find part-time work while studying, placements, vacation work and graduate vacancies. Students are encouraged to access this support at an early stage and to use the extensive resources on the careers section.

Support for your studies

At Bradford, we’re committed to supporting your success, well-being and future ambitions. We’re here to provide everything you need to make the most of your time with us, ensuring you not only excel in your studies, but also step confidently into the world of graduate employment. In addition to the support you receive from your academic tutors, our Student Support Services are here for you throughout your journey - before, during, and after your studies.

Research

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Terms and conditions of study

The University has a set of terms and conditions for all students accepting an offer to study on a course here at Bradford. This is called The Student Contract. This document sets out the Terms and Conditions which apply when you accept an offer of a place on a programme of study at the University of Bradford.

View our Student Contract for further details.

Transparency statement

Information about this programme and its modules has been published in advance of the academic year to which it applies. Every effort has been made to ensure that the information is accurate at the time of publication, but changes may occur given the interval between publishing and commencement of teaching. Any change which impacts the terms and conditions of an applicant’s offer will be communicated to them.