Internet of Things with AI

The Internet of Things with AI , MSc from University of Bristol 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 program 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 program 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 program 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 program 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)

Career opportunities:

This program covers the technical, analytical and soft skills required for an IoT engineer and students would likely go on to careers as: IoT Engineer; AI/Machine Learning Engineer; IoT Solutions Architect; Data Scientist/Analyst; Embedded Systems Engineer; Research Scientist; Network Engineer; and Cloud Engineer.

Courses include:

• Computer Networks and the Internet
• Engineering Project Skills
• Advanced Networks
• Capstone Project
• IoT System Prototyping
• Sensing, Actuation, and Energy Technologies
• Applied ML for Engineering