Internet of Things with AI

Entry requirements

You will typically need an upper second-class honours degree or an international equivalent in one of the following subjects:

• 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.

Other Engineering and numerate Science degrees may be considered where a UK minimum score of 60% (or international equivalent) is achieved in five modules from the following:

• 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.

Unfortunately, applicants with an Engineering background in Materials Science. Mechanical Engineering, Civil Engineering, or Chemical Engineering will not be considered suitable for this programme.

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 grades are slightly lower than the programme's entry requirements, if you have at least one of the following:

• evidence of significant, relevant work experience with a minimum of 12 months (full or part-time equivalent) in an Engineering field as a Communications Network Engineer, Embedded Systems Engineer, Electronics Engineer, Electronics Design Engineer, or Research Engineer.
• a relevant postgraduate qualification.

If this is the case, applicants should include their CV (curriculum vitae / résumé) when they apply, showing details of their relevant qualification.

See international equivalent qualifications on the International Office website.

Months of entry

September

Course content

Machine learning, sensor networks, and the Internet of Things are pivotal in driving the latest industrial revolution, often referred to as Industry 4.0. These rapidly evolving technologies are creating a significant skills gap that needs to be bridged to keep pace with development and maintenance demands. This specialised MSc program in Internet of Things (IoT) with AI is designed to cultivate experts in designing and deploying sophisticated IoT systems enhanced with smart machine learning algorithms. The comprehensive programme promotes a thorough grasp of IoT frameworks, computer networks and their security, communication standards, and data analysis, as well as mastery in machine learning methodologies, including neural networks, both supervised and unsupervised learning, and deep learning strategies.

You will gain practical skills by directly interacting with cutting-edge IoT platforms and machine learning applications, preparing you to create innovative, data-driven solutions for modern challenges. The programme also emphasises the ethical and secure management of IoT data, with a commitment to privacy, responsible innovation, and compliance with regulatory standards.

By blending academic theory with practical exercises, this programme aims to prepare you for a variety of roles across multiple industries, such as smart urban development, healthcare, and industrial automation. The curriculum is also designed to foster a culture of continuous learning and flexibility, positioning graduates to lead in the adoption of new technological trends within their professional endeavours as outlined in the Bristol Futures Curriculum Framework as follows:

• 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 your continued relevance. (Inspiring and Innovative)
• The programme integrates knowledge from various academic disciplines, encouraging you to think broadly and draw connections across different 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 that are 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 your 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)

Information for international students

See international equivalent qualifications on the International Office website.

Fees and funding

Further information on funding for prospective UK and international postgraduate students.