12 monthsProgramme duration
36,900 GBPTuition Fee/year
27 Aug, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Machine learning, sensor networks, and the Internet of Things are key drivers of the latest industrial revolution, known as Industry 4.0. These fast-evolving technologies are creating a major skills gap that must be addressed to meet development and maintenance demands. This specialised MSc in Internet of Things (IoT) with AI is designed to develop experts in building and deploying advanced IoT systems powered by intelligent machine learning algorithms.
The programme offers a deep understanding of IoT frameworks, computer networks and security, communication protocols, and data analysis, along with expertise in machine learning techniques, including neural networks, supervised and unsupervised learning, and deep learning.
You’ll gain hands-on experience with cutting-edge IoT platforms and machine learning tools, equipping you to design innovative, data-driven solutions for real-world challenges. The course also stresses ethical and secure IoT data management, with a strong focus on privacy, responsible innovation, and regulatory compliance.
By combining academic theory with practical exercises, this programme prepares you for diverse roles across industries such as smart urban development, healthcare, and industrial automation. The curriculum also promotes a culture of continuous learning and adaptability, positioning graduates to lead in adopting emerging technologies within their careers, as outlined in the Bristol Futures Curriculum Framework:
The programme offers a deep understanding of IoT frameworks, computer networks and security, communication protocols, and data analysis, along with expertise in machine learning techniques, including neural networks, supervised and unsupervised learning, and deep learning.
You’ll gain hands-on experience with cutting-edge IoT platforms and machine learning tools, equipping you to design innovative, data-driven solutions for real-world challenges. The course also stresses ethical and secure IoT data management, with a strong focus on privacy, responsible innovation, and regulatory compliance.
By combining academic theory with practical exercises, this programme prepares you for diverse roles across industries such as smart urban development, healthcare, and industrial automation. The curriculum also promotes a culture of continuous learning and adaptability, positioning graduates to lead in adopting emerging technologies within their careers, as outlined in the Bristol Futures Curriculum Framework:
- The programme prepares you to be a leader in your field by fostering an innovative mindset and encouraging you to stay abreast of emerging technologies and industry trends, ensuring continued relevance. (Inspiring and Innovative).
- The programme integrates knowledge from various academic disciplines, encouraging you to think broadly and draw connections across fields, thereby developing both hard and soft skills and promoting lifelong learning. (Intellectually Stimulating, and Disciplinary and Interdisciplinary).
- The curriculum includes hands-on projects that enable you to apply theoretical knowledge to real-world scenarios, gaining valuable insights and experience directly relevant to your future career. (Personal Development and Sense of Belonging).
- Developing effective communication and collaboration skills fosters a supportive and inclusive environment, helping you feel connected to peers and the academic community. (Sense of Belonging).
- You are encouraged to consider global challenges and opportunities, as well as ethical considerations and social responsibility within an inclusive environment in technological advancements and their implementation. (Global and Civic Engagement and Sense of Belonging).
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Machine learning, sensor networks, and the Internet of Things are key drivers of the latest industrial revolution, known as Industry 4.0. These fast-evolving technologies are creating a major skills gap that must be addressed to meet development and maintenance demands. This specialised MSc in Internet of Things (IoT) with AI is designed to develop experts in building and deploying advanced IoT systems powered by intelligent machine learning algorithms.
The programme offers a deep understanding of IoT frameworks, computer networks and security, communication protocols, and data analysis, along with expertise in machine learning techniques, including neural networks, supervised and unsupervised learning, and deep learning.
You’ll gain hands-on experience with cutting-edge IoT platforms and machine learning tools, equipping you to design innovative, data-driven solutions for real-world challenges. The course also stresses ethical and secure IoT data management, with a strong focus on privacy, responsible innovation, and regulatory compliance.
By combining academic theory with practical exercises, this programme prepares you for diverse roles across industries such as smart urban development, healthcare, and industrial automation. The curriculum also promotes a culture of continuous learning and adaptability, positioning graduates to lead in adopting emerging technologies within their careers, as outlined in the Bristol Futures Curriculum Framework:
The programme offers a deep understanding of IoT frameworks, computer networks and security, communication protocols, and data analysis, along with expertise in machine learning techniques, including neural networks, supervised and unsupervised learning, and deep learning.
You’ll gain hands-on experience with cutting-edge IoT platforms and machine learning tools, equipping you to design innovative, data-driven solutions for real-world challenges. The course also stresses ethical and secure IoT data management, with a strong focus on privacy, responsible innovation, and regulatory compliance.
By combining academic theory with practical exercises, this programme prepares you for diverse roles across industries such as smart urban development, healthcare, and industrial automation. The curriculum also promotes a culture of continuous learning and adaptability, positioning graduates to lead in adopting emerging technologies within their careers, as outlined in the Bristol Futures Curriculum Framework:
- The programme prepares you to be a leader in your field by fostering an innovative mindset and encouraging you to stay abreast of emerging technologies and industry trends, ensuring continued relevance. (Inspiring and Innovative).
- The programme integrates knowledge from various academic disciplines, encouraging you to think broadly and draw connections across fields, thereby developing both hard and soft skills and promoting lifelong learning. (Intellectually Stimulating, and Disciplinary and Interdisciplinary).
- The curriculum includes hands-on projects that enable you to apply theoretical knowledge to real-world scenarios, gaining valuable insights and experience directly relevant to your future career. (Personal Development and Sense of Belonging).
- Developing effective communication and collaboration skills fosters a supportive and inclusive environment, helping you feel connected to peers and the academic community. (Sense of Belonging).
- You are encouraged to consider global challenges and opportunities, as well as ethical considerations and social responsibility within an inclusive environment in technological advancements and their implementation. (Global and Civic Engagement and Sense of Belonging).
Admission Requirements
67+
88+
6.5+
168+
You will typically need an upper second-class honours degree or an international equivalent in one of the following subjects:
If you are currently completing a degree, we understand that your final grade may be higher than the interim grades or module/unit grades you have achieved during your studies to date.
We will consider your application if your interim grades are currently slightly lower than the programme's entry requirements and may make you an aspirational offer. This offer would be at the standard level, so you would need to achieve the standard entry requirements by the end of your degree. Specific module requirements would still apply.
We will also consider your application if your final overall achieved grade is slightly lower than the programme's entry requirement.
If your achieved grade is lower than our entry requirements, your application may be more likely to receive an offer if you have additional qualifications, please include your CV (curriculum vitae/résumé) when you apply, showing:
- Artificial Intelligence
- Communications Engineering
- Computer Networks
- Computer Science and Technologies
- Computer Systems Engineering
- Electronic and Electrical Engineering
- Information and Communications Technologies
- Information Engineering
- Microelectronic Engineering Telecommunications.
- Analog Electronic Circuits
- Communication networks
- Computer programming
- Digital Electronics Circuits
- Digital Signal Processing
- Electromagnetic fields and waves
- Electronic circuits
- Internet technology
- Microelectronics
- Microprocessors
- Principles of Communications
- Semiconductor devices
- Signals and Systems.
If you are currently completing a degree, we understand that your final grade may be higher than the interim grades or module/unit grades you have achieved during your studies to date.
We will consider your application if your interim grades are currently slightly lower than the programme's entry requirements and may make you an aspirational offer. This offer would be at the standard level, so you would need to achieve the standard entry requirements by the end of your degree. Specific module requirements would still apply.
We will also consider your application if your final overall achieved grade is slightly lower than the programme's entry requirement.
If your achieved grade is lower than our entry requirements, your application may be more likely to receive an offer if you have additional qualifications, please include your CV (curriculum vitae/résumé) when you apply, showing:
- a relevant postgraduate qualification.
English language requirements
If English is not your first language, you will need to reach the requirements outlined in our profile level E.
27 Aug 2026
1 Year
Sep
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
18,900 GBP
International
36,900 GBP
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